From 96c8c9123f15393fc13eeb745f5f334259959339 Mon Sep 17 00:00:00 2001
From: "locadex-agent[bot]"
 <217277504+locadex-agent[bot]@users.noreply.github.com>
Date: Mon, 1 Dec 2025 09:58:18 +0000
Subject: [PATCH] docs(locadex): update translations

---
 gt-lock.json                                  | 10416 ++++++++--------
 .../beta-and-experimental-features.md         |   170 +
 .../clickpipes/kafka/03_reference.md          |   118 +
 .../settings.md                               |  4689 +++++++
 .../settings/merge-tree-settings.md           |  3066 +++++
 .../aggregate-functions/reference/index.md    |   161 +
 .../functions/ext-dict-functions.md           |  2214 ++++
 .../sql-reference/statements/select/limit.md  |   141 +
 .../aggregate-functions/reference/index.md    |   272 +-
 .../aggregate-functions/reference/index.md    |   272 +-
 10 files changed, 16048 insertions(+), 5471 deletions(-)
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/about-us/beta-and-experimental-features.md
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/integrations/data-ingestion/clickpipes/kafka/03_reference.md
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/operations/server-configuration-parameters/settings.md
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/operations/settings/merge-tree-settings.md
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/functions/ext-dict-functions.md
 create mode 100644 i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/statements/select/limit.md

diff --git a/gt-lock.json b/gt-lock.json
index a82eb50dba2..02cb652be62 100644
--- a/gt-lock.json
+++ b/gt-lock.json
@@ -49,169 +49,169 @@
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       "5b41c30593068b713e26045c49b89ef31bda4b2d25564fc71eeafadaa3a88b3b": {
         "ecb137fd1463f816c7efffc5bf4c604e7cfa7735755e22327018e286ec755267": {
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.738Z"
+            "updatedAt": "2025-12-01T09:56:39.122Z"
           },
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.740Z"
+            "updatedAt": "2025-12-01T09:56:39.124Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.733Z"
+            "updatedAt": "2025-12-01T09:56:39.117Z"
           }
         }
       },
       "7c145e871f942571130b488686f2c93299c7784ad34d23a45c99e2947f75208c": {
         "193be2e12900fc92f5c6cf9d55c9d419bf67397ce7c166154cf4356eaee3bb11": {
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.739Z"
+            "updatedAt": "2025-12-01T09:56:39.123Z"
           },
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.740Z"
+            "updatedAt": "2025-12-01T09:56:39.124Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.733Z"
+            "updatedAt": "2025-12-01T09:56:39.118Z"
           }
         }
       },
       "f5b83279dab37d495f5c4fd259883e2f59a812c65ccc8ed0c351f21a2028e710": {
         "caa363689f97df04d5bdb8cc80dfede581f616ede687804ff5915657268592d2": {
           "ru": {
-            "updatedAt": "2025-12-01T05:30:22.573Z"
+            "updatedAt": "2025-12-01T09:56:28.531Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:22.573Z"
+            "updatedAt": "2025-12-01T09:56:28.531Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:22.575Z"
+            "updatedAt": "2025-12-01T09:56:28.534Z"
           }
         }
       },
       "bdeb28bdbd403e8a7dbfd53a18daf2d16a5ec80e2b272afff63299b084ee54d4": {
         "8d2b2934162408394b787a0c9376fd5fc5d3b70e883799983cb40e9cd3caec2b": {
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.725Z"
+            "updatedAt": "2025-12-01T09:56:28.526Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.724Z"
+            "updatedAt": "2025-12-01T09:56:28.525Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.728Z"
+            "updatedAt": "2025-12-01T09:56:39.113Z"
           }
         }
       },
       "6d9be1cdfeaef3b95b6937fe4da26361e0723bbb44069a88774c3f6c426953ff": {
         "27c7a63e2afca841ae5e7d6fe8b9f6f3c513769116043f854361c07302afa76a": {
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.669Z"
+            "updatedAt": "2025-12-01T09:56:28.493Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.669Z"
+            "updatedAt": "2025-12-01T09:56:28.493Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.668Z"
+            "updatedAt": "2025-12-01T09:56:28.492Z"
           }
         }
       },
       "08f3b123bce337ae576d91effb4c4e0aa8ce5818f4196baa0ba59915bd0d269e": {
         "a29ff4b6f7e821d9ae449a998417a11cc1c6705210186befa92aa45136de5da9": {
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.687Z"
+            "updatedAt": "2025-12-01T09:56:39.096Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.689Z"
+            "updatedAt": "2025-12-01T09:56:39.098Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.694Z"
+            "updatedAt": "2025-12-01T09:56:39.103Z"
           }
         }
       },
       "0e3c84ac0dcb64d166a9e4cad32d3420219fe50fe305e36aa358456c172e2cf7": {
         "318568dae18d539030ba9900a07a5c387e0ffd38a7b84468080ad1adcdccfc39": {
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.702Z"
+            "updatedAt": "2025-12-01T09:56:28.500Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.704Z"
+            "updatedAt": "2025-12-01T09:56:28.502Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.701Z"
+            "updatedAt": "2025-12-01T09:56:39.111Z"
           }
         }
       },
       "808e737b87d86c00037ee9499555e8d37bc7fd2e51f5ef796a4a104d5f453b14": {
         "4719caa724ba0e2a9f5dae16a0fe1e64ccb82cd37762f0d2649a253c1acc65eb": {
           "zh": {
-            "updatedAt": "2025-12-01T05:30:10.688Z"
+            "updatedAt": "2025-12-01T09:56:39.097Z"
           },
           "ru": {
-            "updatedAt": "2025-12-01T05:30:10.690Z"
+            "updatedAt": "2025-12-01T09:56:39.099Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:10.685Z"
+            "updatedAt": "2025-12-01T09:56:39.095Z"
           }
         }
       },
@@ -24776,26 +24794,26 @@
       "66bbf0d8525a651b70357530fa66ca0f30073bb1460c57979838338b1c0d8749": {
         "9a8d534c4d4974d982e6c1d6d31787e905d1215b8eade3bf1524a2e15a6fa2c0": {
           "jp": {
-            "updatedAt": "2025-12-01T05:30:23.138Z"
+            "updatedAt": "2025-12-01T09:56:39.748Z"
           },
           "ru": {
-            "updatedAt": "2025-12-01T05:30:23.138Z"
+            "updatedAt": "2025-12-01T09:56:39.748Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:23.138Z"
+            "updatedAt": "2025-12-01T09:56:39.748Z"
           }
         }
       },
       "004214d1284aa8fe518aa336fea065f912357ada315224cb8c2c05631ff36449": {
         "1f8a48298f98b2b8149a2007bd5ec17c019f567f61d697e95322a03baab80eba": {
           "ru": {
-            "updatedAt": "2025-12-01T05:30:22.642Z"
+            "updatedAt": "2025-12-01T09:56:29.180Z"
           },
           "jp": {
-            "updatedAt": "2025-12-01T05:30:22.642Z"
+            "updatedAt": "2025-12-01T09:56:29.180Z"
           },
           "zh": {
-            "updatedAt": "2025-12-01T05:30:22.642Z"
+            "updatedAt": "2025-12-01T09:56:29.181Z"
           }
         }
       }
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/about-us/beta-and-experimental-features.md b/i18n/jp/docusaurus-plugin-content-docs/current/about-us/beta-and-experimental-features.md
new file mode 100644
index 00000000000..73e29d4b952
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/about-us/beta-and-experimental-features.md
@@ -0,0 +1,170 @@
+---
+sidebar_position: 1
+sidebar_label: 'ベータ機能と実験的機能'
+title: 'ベータ機能および実験的機能'
+description: 'ClickHouse にはベータ機能および実験的機能があります。本ドキュメントページでは、それらの定義について説明します。'
+slug: /beta-and-experimental-features
+doc_type: 'reference'
+---
+
+ClickHouse はオープンソースであるため、ClickHouse の従業員だけでなくコミュニティからも多くのコントリビューションを受けています。これらのコントリビューションはしばしば異なるスピードで開発されます。特定の機能は、一般提供 (GA) と見なされるまでに、長期間にわたる試作フェーズや、コミュニティからの十分なフィードバックと反復のための時間を必要とする場合があります。
+
+どの段階で機能が一般提供として分類されるかは明確ではないため、機能を **ベータ (Beta)** と **実験的 (Experimental)** の 2 つのカテゴリに区分しています。
+
+**ベータ (Beta)** 機能は、ClickHouse チームによって正式にサポートされます。**実験的 (Experimental)** 機能は、ClickHouse チームまたはコミュニティのいずれかによって開発される初期段階のプロトタイプであり、正式にはサポートされません。
+
+以下のセクションでは、**ベータ (Beta)** 機能および **実験的 (Experimental)** 機能の特性について説明します。
+
+## ベータ機能 {#beta-features}
+
+- 一般提供 (GA) に向けて積極的に開発中
+- 主な既知の問題は GitHub で追跡可能
+- 将来的に機能が変更される可能性あり
+- ClickHouse Cloud で有効になっている場合があります
+- ClickHouse チームはベータ機能をサポートしています
+
+以下に、ClickHouse Cloud においてベータと見なされており、お使いの ClickHouse Cloud サービスで利用可能な機能を示します。
+
+注記: 最近追加された機能を利用するには、ClickHouse の [compatibility](/operations/settings/settings#compatibility) 設定を最新バージョンにしていることを必ず確認してください。
+
+## 実験的機能 {#experimental-features}
+
+* GA（一般提供）にならない可能性がある
+* 削除される可能性がある
+* 後方互換性のない変更を導入する可能性がある
+* 機能が将来的に変更される可能性がある
+* 明示的に有効化する必要がある
+* ClickHouse チームは実験的機能を**サポートしない**
+* 重要な機能やドキュメントが欠けている可能性がある
+* ClickHouse Cloud では有効化できない
+
+注意: 上記で Beta として挙げたもの以外の実験的機能を ClickHouse Cloud で有効化することはできません。
+
+{/* 以下のタグ内のコンテンツは、ビルド時にソースから生成されたテーブルに置き換えられます。
+     タグを変更または削除しないでください。
+  */ }
+
+{/*AUTOGENERATED_START*/ }
+
+
+## ベータ版設定 {#beta-settings}
+
+| 名前                                                                                                                                                                                                                    | デフォルト        |
+| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------ |
+| [geotoh3&#95;argument&#95;order](/operations/settings/settings#geotoh3_argument_order)                                                                                                                                | `lat_lon`    |
+| [enable&#95;lightweight&#95;update](/operations/settings/settings#enable_lightweight_update)                                                                                                                          | `1`          |
+| [allow&#95;experimental&#95;correlated&#95;subqueries](/operations/settings/settings#allow_experimental_correlated_subqueries)                                                                                        | `1`          |
+| [allow&#95;experimental&#95;parallel&#95;reading&#95;from&#95;replicas](/operations/settings/settings#allow_experimental_parallel_reading_from_replicas)                                                              | `0`          |
+| [parallel&#95;replicas&#95;mode](/operations/settings/settings#parallel_replicas_mode)                                                                                                                                | `read_tasks` |
+| [parallel&#95;replicas&#95;count](/operations/settings/settings#parallel_replicas_count)                                                                                                                              | `0`          |
+| [parallel&#95;replica&#95;offset](/operations/settings/settings#parallel_replica_offset)                                                                                                                              | `0`          |
+| [parallel&#95;replicas&#95;custom&#95;key](/operations/settings/settings#parallel_replicas_custom_key)                                                                                                                | ``           |
+| [parallel&#95;replicas&#95;custom&#95;key&#95;range&#95;lower](/operations/settings/settings#parallel_replicas_custom_key_range_lower)                                                                                | `0`          |
+| [parallel&#95;replicas&#95;custom&#95;key&#95;range&#95;upper](/operations/settings/settings#parallel_replicas_custom_key_range_upper)                                                                                | `0`          |
+| [cluster&#95;for&#95;parallel&#95;replicas](/operations/settings/settings#cluster_for_parallel_replicas)                                                                                                              | ``           |
+| [parallel&#95;replicas&#95;allow&#95;in&#95;with&#95;subquery](/operations/settings/settings#parallel_replicas_allow_in_with_subquery)                                                                                | `1`          |
+| [parallel&#95;replicas&#95;for&#95;non&#95;replicated&#95;merge&#95;tree](/operations/settings/settings#parallel_replicas_for_non_replicated_merge_tree)                                                              | `0`          |
+| [parallel&#95;replicas&#95;min&#95;number&#95;of&#95;rows&#95;per&#95;replica](/operations/settings/settings#parallel_replicas_min_number_of_rows_per_replica)                                                        | `0`          |
+| [parallel&#95;replicas&#95;prefer&#95;local&#95;join](/operations/settings/settings#parallel_replicas_prefer_local_join)                                                                                              | `1`          |
+| [parallel&#95;replicas&#95;mark&#95;segment&#95;size](/operations/settings/settings#parallel_replicas_mark_segment_size)                                                                                              | `0`          |
+| [parallel&#95;replicas&#95;local&#95;plan](/operations/settings/settings#parallel_replicas_local_plan)                                                                                                                | `1`          |
+| [parallel&#95;replicas&#95;index&#95;analysis&#95;only&#95;on&#95;coordinator](/operations/settings/settings#parallel_replicas_index_analysis_only_on_coordinator)                                                    | `1`          |
+| [parallel&#95;replicas&#95;support&#95;projection](/operations/settings/settings#parallel_replicas_support_projection)                                                                                                | `1`          |
+| [parallel&#95;replicas&#95;only&#95;with&#95;analyzer](/operations/settings/settings#parallel_replicas_only_with_analyzer)                                                                                            | `1`          |
+| [parallel&#95;replicas&#95;insert&#95;select&#95;local&#95;pipeline](/operations/settings/settings#parallel_replicas_insert_select_local_pipeline)                                                                    | `1`          |
+| [parallel&#95;replicas&#95;connect&#95;timeout&#95;ms](/operations/settings/settings#parallel_replicas_connect_timeout_ms)                                                                                            | `300`        |
+| [allow&#95;experimental&#95;database&#95;iceberg](/operations/settings/settings#allow_experimental_database_iceberg)                                                                                                  | `0`          |
+| [allow&#95;experimental&#95;database&#95;unity&#95;catalog](/operations/settings/settings#allow_experimental_database_unity_catalog)                                                                                  | `0`          |
+| [allow&#95;experimental&#95;database&#95;glue&#95;catalog](/operations/settings/settings#allow_experimental_database_glue_catalog)                                                                                    | `0`          |
+| [session&#95;timezone](/operations/settings/settings#session_timezone)                                                                                                                                                | ``           |
+| [low&#95;priority&#95;query&#95;wait&#95;time&#95;ms](/operations/settings/settings#low_priority_query_wait_time_ms)                                                                                                  | `1000`       |
+| [allow&#95;statistics&#95;optimize](/operations/settings/settings#allow_statistics_optimize)                                                                                                                          | `1`          |
+| [allow&#95;experimental&#95;delta&#95;kernel&#95;rs](/operations/settings/settings#allow_experimental_delta_kernel_rs)                                                                                                | `1`          |
+| [shared&#95;merge&#95;tree&#95;activate&#95;coordinated&#95;merges&#95;tasks](/operations/settings/merge-tree-settings#shared_merge_tree_activate_coordinated_merges_tasks)                                           | `0`          |
+| [shared&#95;merge&#95;tree&#95;enable&#95;coordinated&#95;merges](/operations/settings/merge-tree-settings#shared_merge_tree_enable_coordinated_merges)                                                               | `0`          |
+| [shared&#95;merge&#95;tree&#95;enable&#95;keeper&#95;parts&#95;extra&#95;data](/operations/settings/merge-tree-settings#shared_merge_tree_enable_keeper_parts_extra_data)                                             | `0`          |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;election&#95;check&#95;period&#95;ms](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_election_check_period_ms)                 | `30000`      |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;factor](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_factor)                                                                 | `1.1`        |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;fetch&#95;fresh&#95;metadata&#95;period&#95;ms](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_fetch_fresh_metadata_period_ms) | `10000`      |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;max&#95;merge&#95;request&#95;size](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_max_merge_request_size)                     | `20`         |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;max&#95;period&#95;ms](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_max_period_ms)                                           | `10000`      |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;merges&#95;prepare&#95;count](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_merges_prepare_count)                             | `100`        |
+| [shared&#95;merge&#95;tree&#95;merge&#95;coordinator&#95;min&#95;period&#95;ms](/operations/settings/merge-tree-settings#shared_merge_tree_merge_coordinator_min_period_ms)                                           | `1`          |
+| [shared&#95;merge&#95;tree&#95;merge&#95;worker&#95;fast&#95;timeout&#95;ms](/operations/settings/merge-tree-settings#shared_merge_tree_merge_worker_fast_timeout_ms)                                                 | `100`        |
+| [shared&#95;merge&#95;tree&#95;merge&#95;worker&#95;regular&#95;timeout&#95;ms](/operations/settings/merge-tree-settings#shared_merge_tree_merge_worker_regular_timeout_ms)                                           | `10000`      |
+
+## 実験的設定 {#experimental-settings}
+
+| 名前                                                                                                                                                                                                                | デフォルト                   |
+| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------- |
+| [allow&#95;experimental&#95;kafka&#95;offsets&#95;storage&#95;in&#95;keeper](/operations/settings/settings#allow_experimental_kafka_offsets_storage_in_keeper)                                                    | `0`                     |
+| [allow&#95;experimental&#95;delta&#95;lake&#95;writes](/operations/settings/settings#allow_experimental_delta_lake_writes)                                                                                        | `0`                     |
+| [allow&#95;experimental&#95;materialized&#95;postgresql&#95;table](/operations/settings/settings#allow_experimental_materialized_postgresql_table)                                                                | `0`                     |
+| [allow&#95;experimental&#95;funnel&#95;functions](/operations/settings/settings#allow_experimental_funnel_functions)                                                                                              | `0`                     |
+| [allow&#95;experimental&#95;nlp&#95;functions](/operations/settings/settings#allow_experimental_nlp_functions)                                                                                                    | `0`                     |
+| [allow&#95;experimental&#95;hash&#95;functions](/operations/settings/settings#allow_experimental_hash_functions)                                                                                                  | `0`                     |
+| [allow&#95;experimental&#95;time&#95;series&#95;table](/operations/settings/settings#allow_experimental_time_series_table)                                                                                        | `0`                     |
+| [allow&#95;experimental&#95;codecs](/operations/settings/settings#allow_experimental_codecs)                                                                                                                      | `0`                     |
+| [throw&#95;on&#95;unsupported&#95;query&#95;inside&#95;transaction](/operations/settings/settings#throw_on_unsupported_query_inside_transaction)                                                                  | `1`                     |
+| [wait&#95;changes&#95;become&#95;visible&#95;after&#95;commit&#95;mode](/operations/settings/settings#wait_changes_become_visible_after_commit_mode)                                                              | `wait_unknown`          |
+| [implicit&#95;transaction](/operations/settings/settings#implicit_transaction)                                                                                                                                    | `0`                     |
+| [grace&#95;hash&#95;join&#95;initial&#95;buckets](/operations/settings/settings#grace_hash_join_initial_buckets)                                                                                                  | `1`                     |
+| [grace&#95;hash&#95;join&#95;max&#95;buckets](/operations/settings/settings#grace_hash_join_max_buckets)                                                                                                          | `1024`                  |
+| [join&#95;to&#95;sort&#95;minimum&#95;perkey&#95;rows](/operations/settings/settings#join_to_sort_minimum_perkey_rows)                                                                                            | `40`                    |
+| [join&#95;to&#95;sort&#95;maximum&#95;table&#95;rows](/operations/settings/settings#join_to_sort_maximum_table_rows)                                                                                              | `10000`                 |
+| [allow&#95;experimental&#95;join&#95;right&#95;table&#95;sorting](/operations/settings/settings#allow_experimental_join_right_table_sorting)                                                                      | `0`                     |
+| [allow&#95;experimental&#95;statistics](/operations/settings/settings#allow_experimental_statistics)                                                                                                              | `0`                     |
+| [use&#95;statistics&#95;cache](/operations/settings/settings#use_statistics_cache)                                                                                                                                | `0`                     |
+| [allow&#95;experimental&#95;full&#95;text&#95;index](/operations/settings/settings#allow_experimental_full_text_index)                                                                                            | `0`                     |
+| [allow&#95;experimental&#95;window&#95;view](/operations/settings/settings#allow_experimental_window_view)                                                                                                        | `0`                     |
+| [window&#95;view&#95;clean&#95;interval](/operations/settings/settings#window_view_clean_interval)                                                                                                                | `60`                    |
+| [window&#95;view&#95;heartbeat&#95;interval](/operations/settings/settings#window_view_heartbeat_interval)                                                                                                        | `15`                    |
+| [wait&#95;for&#95;window&#95;view&#95;fire&#95;signal&#95;timeout](/operations/settings/settings#wait_for_window_view_fire_signal_timeout)                                                                        | `10`                    |
+| [stop&#95;refreshable&#95;materialized&#95;views&#95;on&#95;startup](/operations/settings/settings#stop_refreshable_materialized_views_on_startup)                                                                | `0`                     |
+| [allow&#95;experimental&#95;database&#95;materialized&#95;postgresql](/operations/settings/settings#allow_experimental_database_materialized_postgresql)                                                          | `0`                     |
+| [allow&#95;experimental&#95;qbit&#95;type](/operations/settings/settings#allow_experimental_qbit_type)                                                                                                            | `0`                     |
+| [allow&#95;experimental&#95;query&#95;deduplication](/operations/settings/settings#allow_experimental_query_deduplication)                                                                                        | `0`                     |
+| [allow&#95;experimental&#95;database&#95;hms&#95;catalog](/operations/settings/settings#allow_experimental_database_hms_catalog)                                                                                  | `0`                     |
+| [allow&#95;experimental&#95;kusto&#95;dialect](/operations/settings/settings#allow_experimental_kusto_dialect)                                                                                                    | `0`                     |
+| [allow&#95;experimental&#95;prql&#95;dialect](/operations/settings/settings#allow_experimental_prql_dialect)                                                                                                      | `0`                     |
+| [enable&#95;adaptive&#95;memory&#95;spill&#95;scheduler](/operations/settings/settings#enable_adaptive_memory_spill_scheduler)                                                                                    | `0`                     |
+| [allow&#95;experimental&#95;insert&#95;into&#95;iceberg](/operations/settings/settings#allow_experimental_insert_into_iceberg)                                                                                    | `0`                     |
+| [allow&#95;experimental&#95;iceberg&#95;compaction](/operations/settings/settings#allow_experimental_iceberg_compaction)                                                                                          | `0`                     |
+| [write&#95;full&#95;path&#95;in&#95;iceberg&#95;metadata](/operations/settings/settings#write_full_path_in_iceberg_metadata)                                                                                      | `0`                     |
+| [iceberg&#95;metadata&#95;compression&#95;method](/operations/settings/settings#iceberg_metadata_compression_method)                                                                                              | ``                      |
+| [make&#95;distributed&#95;plan](/operations/settings/settings#make_distributed_plan)                                                                                                                              | `0`                     |
+| [distributed&#95;plan&#95;execute&#95;locally](/operations/settings/settings#distributed_plan_execute_locally)                                                                                                    | `0`                     |
+| [distributed&#95;plan&#95;default&#95;shuffle&#95;join&#95;bucket&#95;count](/operations/settings/settings#distributed_plan_default_shuffle_join_bucket_count)                                                    | `8`                     |
+| [distributed&#95;plan&#95;default&#95;reader&#95;bucket&#95;count](/operations/settings/settings#distributed_plan_default_reader_bucket_count)                                                                    | `8`                     |
+| [distributed&#95;plan&#95;force&#95;exchange&#95;kind](/operations/settings/settings#distributed_plan_force_exchange_kind)                                                                                        | ``                      |
+| [distributed&#95;plan&#95;max&#95;rows&#95;to&#95;broadcast](/operations/settings/settings#distributed_plan_max_rows_to_broadcast)                                                                                | `20000`                 |
+| [allow&#95;experimental&#95;ytsaurus&#95;table&#95;engine](/operations/settings/settings#allow_experimental_ytsaurus_table_engine)                                                                                | `0`                     |
+| [allow&#95;experimental&#95;ytsaurus&#95;table&#95;function](/operations/settings/settings#allow_experimental_ytsaurus_table_function)                                                                            | `0`                     |
+| [allow&#95;experimental&#95;ytsaurus&#95;dictionary&#95;source](/operations/settings/settings#allow_experimental_ytsaurus_dictionary_source)                                                                      | `0`                     |
+| [distributed&#95;plan&#95;force&#95;shuffle&#95;aggregation](/operations/settings/settings#distributed_plan_force_shuffle_aggregation)                                                                            | `0`                     |
+| [enable&#95;join&#95;runtime&#95;filters](/operations/settings/settings#enable_join_runtime_filters)                                                                                                              | `0`                     |
+| [join&#95;runtime&#95;filter&#95;exact&#95;values&#95;limit](/operations/settings/settings#join_runtime_filter_exact_values_limit)                                                                                | `10000`                 |
+| [join&#95;runtime&#95;bloom&#95;filter&#95;bytes](/operations/settings/settings#join_runtime_bloom_filter_bytes)                                                                                                  | `524288`                |
+| [join&#95;runtime&#95;bloom&#95;filter&#95;hash&#95;functions](/operations/settings/settings#join_runtime_bloom_filter_hash_functions)                                                                            | `3`                     |
+| [rewrite&#95;in&#95;to&#95;join](/operations/settings/settings#rewrite_in_to_join)                                                                                                                                | `0`                     |
+| [allow&#95;experimental&#95;time&#95;series&#95;aggregate&#95;functions](/operations/settings/settings#allow_experimental_time_series_aggregate_functions)                                                        | `0`                     |
+| [promql&#95;database](/operations/settings/settings#promql_database)                                                                                                                                              | ``                      |
+| [promql&#95;table](/operations/settings/settings#promql_table)                                                                                                                                                    | ``                      |
+| [promql&#95;evaluation&#95;time](/operations/settings/settings#promql_evaluation_time)                                                                                                                            | `auto`                  |
+| [allow&#95;experimental&#95;alias&#95;table&#95;engine](/operations/settings/settings#allow_experimental_alias_table_engine)                                                                                      | `0`                     |
+| [use&#95;paimon&#95;partition&#95;pruning](/operations/settings/settings#use_paimon_partition_pruning)                                                                                                            | `0`                     |
+| [allow&#95;experimental&#95;replacing&#95;merge&#95;with&#95;cleanup](/operations/settings/merge-tree-settings#allow_experimental_replacing_merge_with_cleanup)                                                   | `0`                     |
+| [allow&#95;experimental&#95;reverse&#95;key](/operations/settings/merge-tree-settings#allow_experimental_reverse_key)                                                                                             | `0`                     |
+| [allow&#95;remote&#95;fs&#95;zero&#95;copy&#95;replication](/operations/settings/merge-tree-settings#allow_remote_fs_zero_copy_replication)                                                                       | `0`                     |
+| [enable&#95;replacing&#95;merge&#95;with&#95;cleanup&#95;for&#95;min&#95;age&#95;to&#95;force&#95;merge](/operations/settings/merge-tree-settings#enable_replacing_merge_with_cleanup_for_min_age_to_force_merge) | `0`                     |
+| [force&#95;read&#95;through&#95;cache&#95;for&#95;merges](/operations/settings/merge-tree-settings#force_read_through_cache_for_merges)                                                                           | `0`                     |
+| [merge&#95;selector&#95;algorithm](/operations/settings/merge-tree-settings#merge_selector_algorithm)                                                                                                             | `Simple`                |
+| [notify&#95;newest&#95;block&#95;number](/operations/settings/merge-tree-settings#notify_newest_block_number)                                                                                                     | `0`                     |
+| [part&#95;moves&#95;between&#95;shards&#95;delay&#95;seconds](/operations/settings/merge-tree-settings#part_moves_between_shards_delay_seconds)                                                                   | `30`                    |
+| [part&#95;moves&#95;between&#95;shards&#95;enable](/operations/settings/merge-tree-settings#part_moves_between_shards_enable)                                                                                     | `0`                     |
+| [remote&#95;fs&#95;zero&#95;copy&#95;path&#95;compatible&#95;mode](/operations/settings/merge-tree-settings#remote_fs_zero_copy_path_compatible_mode)                                                             | `0`                     |
+| [remote&#95;fs&#95;zero&#95;copy&#95;zookeeper&#95;path](/operations/settings/merge-tree-settings#remote_fs_zero_copy_zookeeper_path)                                                                             | `/clickhouse/zero_copy` |
+| [remove&#95;rolled&#95;back&#95;parts&#95;immediately](/operations/settings/merge-tree-settings#remove_rolled_back_parts_immediately)                                                                             | `1`                     |
+| [shared&#95;merge&#95;tree&#95;virtual&#95;parts&#95;discovery&#95;batch](/operations/settings/merge-tree-settings#shared_merge_tree_virtual_parts_discovery_batch)                                               | `1`                     |
+
+{/*AUTOGENERATED_END*/ }
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/integrations/data-ingestion/clickpipes/kafka/03_reference.md b/i18n/jp/docusaurus-plugin-content-docs/current/integrations/data-ingestion/clickpipes/kafka/03_reference.md
new file mode 100644
index 00000000000..f52ed9fd601
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/integrations/data-ingestion/clickpipes/kafka/03_reference.md
@@ -0,0 +1,118 @@
+---
+sidebar_label: 'リファレンス'
+description: 'サポートされているフォーマット、ソース、配信セマンティクス、認証方式、および Kafka ClickPipes で利用可能な実験的機能の詳細を説明します'
+slug: /integrations/clickpipes/kafka/reference
+sidebar_position: 1
+title: 'リファレンス'
+doc_type: 'reference'
+keywords: ['kafka リファレンス', 'clickpipes', 'データソース', 'avro', '仮想カラム']
+---
+
+import Kafkasvg from '@site/static/images/integrations/logos/kafka.svg';
+import Confluentsvg from '@site/static/images/integrations/logos/confluent.svg';
+import Msksvg from '@site/static/images/integrations/logos/msk.svg';
+import Azureeventhubssvg from '@site/static/images/integrations/logos/azure_event_hubs.svg';
+import Warpstreamsvg from '@site/static/images/integrations/logos/warpstream.svg';
+import redpanda_logo from '@site/static/images/integrations/logos/logo_redpanda.png';
+import Image from '@theme/IdealImage';
+import ExperimentalBadge from '@site/src/theme/badges/ExperimentalBadge';
+
+
+# リファレンス {#reference}
+
+## サポートされているデータソース {#supported-data-sources}
+
+| 名前                 |ロゴ|種類| ステータス      | 説明                                                                                                  |
+|----------------------|----|----|-----------------|------------------------------------------------------------------------------------------------------|
+| Apache Kafka         |<Kafkasvg class="image" alt="Apache Kafkaのロゴ" style={{width: '3rem', 'height': '3rem'}}/>|ストリーミング| 安定版          | ClickPipes を構成して、Apache Kafka から ClickHouse Cloud へのストリーミングデータの取り込みを開始します。     |
+| Confluent Cloud      |<Confluentsvg class="image" alt="Confluent Cloudのロゴ" style={{width: '3rem'}}/>|ストリーミング| 安定版          | 直接統合により、Confluent と ClickHouse Cloud を組み合わせた強力な機能を引き出します。          |
+| Redpanda             |<Image img={redpanda_logo} size="logo" alt="Redpandaのロゴ"/>|ストリーミング| 安定版          | ClickPipes を構成して、Redpanda から ClickHouse Cloud へのストリーミングデータの取り込みを開始します。         |
+| AWS MSK              |<Msksvg class="image" alt="AWS MSKのロゴ" style={{width: '3rem', 'height': '3rem'}}/>|ストリーミング| 安定版          | ClickPipes を構成して、AWS MSK から ClickHouse Cloud へのストリーミングデータの取り込みを開始します。          |
+| Azure Event Hubs     |<Azureeventhubssvg class="image" alt="Azure Event Hubsのロゴ" style={{width: '3rem'}}/>|ストリーミング| 安定版          | ClickPipes を構成して、Azure Event Hubs から ClickHouse Cloud へのストリーミングデータの取り込みを開始します。 |
+| WarpStream           |<Warpstreamsvg class="image" alt="WarpStreamのロゴ" style={{width: '3rem'}}/>|ストリーミング| 安定版          | ClickPipes を構成して、WarpStream から ClickHouse Cloud へのストリーミングデータの取り込みを開始します。       |
+
+## サポートされているデータ形式 {#supported-data-formats}
+
+サポートされている形式は次のとおりです。
+
+- [JSON](/integrations/data-formats/json/overview)
+- [AvroConfluent](/interfaces/formats/AvroConfluent)
+
+## サポートされるデータ型 {#supported-data-types}
+
+### 標準 {#standard-types-support}
+
+現在、ClickPipes では次の標準的な ClickHouse データ型がサポートされています。
+
+- 基本的な数値型 - \[U\]Int8/16/32/64、Float32/64、および BFloat16
+- 大きな整数型 - \[U\]Int128/256
+- Decimal 型
+- Boolean
+- String
+- FixedString
+- Date, Date32
+- DateTime, DateTime64（UTC タイムゾーンのみ）
+- Enum8/Enum16
+- UUID
+- IPv4
+- IPv6
+- すべての ClickHouse LowCardinality 型
+- 上記のいずれかの型（Nullable を含む）をキーおよび値に使用する Map
+- 上記のいずれかの型（Nullable を含む、1 階層のみ）を要素に使用する Tuple および Array
+- SimpleAggregateFunction 型（AggregatingMergeTree または SummingMergeTree を出力先とする場合）
+
+### Avro {#avro}
+
+#### サポートされている Avro データ型 {#supported-avro-data-types}
+
+ClickPipes は、すべての Avro プリミティブ型および複合型と、`time-millis`、`time-micros`、`local-timestamp-millis`、`local_timestamp-micros`、`duration` を除くすべての Avro 論理型をサポートします。Avro の `record` 型は Tuple に、`array` 型は Array に、`map` 型は Map（キーは文字列のみ）に変換されます。通常、[こちら](/interfaces/formats/Avro#data-type-mapping) に記載されている変換が利用可能です。ClickPipes は型変換時のオーバーフローや精度低下を検証しないため、Avro の数値型については型を厳密に一致させることを推奨します。
+また、すべての Avro 型を `String` カラムに挿入することもでき、その場合は有効な JSON 文字列として表現されます。
+
+#### Nullable 型と Avro ユニオン {#nullable-types-and-avro-unions}
+
+Avro における Nullable 型は、ベースとなる Avro 型を T としたとき、`(T, null)` または `(null, T)` の Union スキーマを使用して定義されます。スキーマ推論時には、そのようなユニオンは ClickHouse の "Nullable" カラムにマッピングされます。なお、ClickHouse は
+`Nullable(Array)`、`Nullable(Map)`、`Nullable(Tuple)` 型をサポートしません。これらの型に対する Avro の null ユニオンは、非 Nullable 型にマッピングされます（Avro の Record 型は ClickHouse の名前付き Tuple にマッピングされます）。これらの型に対する Avro の "null" は次のように挿入されます：
+
+- null の Avro Array には空の Array
+- null の Avro Map には空の Map
+- null の Avro Record には、すべての要素がデフォルト値／ゼロ値の名前付き Tuple
+
+#### Variant 型のサポート {#variant-type-support}
+
+ClickPipes は、次の状況で Variant 型をサポートします:
+
+- Avro Unions。Avro スキーマに複数の非 null 型を含む union がある場合、ClickPipes は
+  適切な Variant 型を推論します。その他の Avro データでは Variant 型はサポートされません。
+- JSON フィールド。ソース データストリーム内の任意の JSON フィールドに対して、`Variant(String, Int64, DateTime)` のように
+  Variant 型を手動で指定できます。複合サブタイプ（array/map/tuple）はサポートされません。さらに、ClickPipes が
+  使用する正しい Variant サブタイプを判定する方法の都合上、Variant の定義では整数型および datetime 型をそれぞれ 1 種類しか使用できません。
+  たとえば、`Variant(Int64, UInt32)` はサポートされません。
+
+#### JSON 型のサポート {#json-type-support}
+
+ClickPipes は、次のような場合に JSON 型をサポートします:
+
+- Avro の Record 型は、常に JSON カラムに割り当てることができます。
+- Avro の String 型および Bytes 型は、そのカラムが実際に JSON の String オブジェクトを保持している場合、JSON カラムに割り当てることができます。
+- 常に JSON オブジェクトである JSON フィールドは、宛先の JSON カラムに割り当てることができます。
+
+なお、固定パスやスキップしたパスも含めて、宛先カラムを目的の JSON 型に手動で変更する必要があります。
+
+## Kafka 仮想カラム {#kafka-virtual-columns}
+
+Kafka 互換ストリーミングデータソースでは、次の仮想カラムがサポートされています。新しい宛先テーブルを作成する際は、`Add Column` ボタンを使用して仮想カラムを追加できます。
+
+| Name             | Description                                          | Recommended Data Type  |
+|------------------|------------------------------------------------------|------------------------|
+| `_key`           | Kafka メッセージのキー                               | `String`               |
+| `_timestamp`     | Kafka タイムスタンプ（ミリ秒精度）                   | `DateTime64(3)`        |
+| `_partition`     | Kafka パーティション                                 | `Int32`                |
+| `_offset`        | Kafka オフセット                                     | `Int64`                |
+| `_topic`         | Kafka トピック                                       | `String`               |
+| `_header_keys`   | レコードヘッダー内のキーの並列配列                  | `Array(String)`        |
+| `_header_values` | レコードヘッダー内のヘッダー値の並列配列            | `Array(String)`        |
+| `_raw_message`   | Kafka メッセージ全体                                 | `String`               |
+
+`_raw_message` カラムは JSON データに対してのみ推奨される点に注意してください。
+JSON 文字列だけが必要なユースケース（たとえば ClickHouse の [`JsonExtract*`](/sql-reference/functions/json-functions#jsonextract-functions) 関数を使用して
+下流の materialized view にデータを投入する場合など）では、すべての「非仮想」カラムを削除することで ClickPipes のパフォーマンスが向上する可能性があります。
\ No newline at end of file
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/operations/server-configuration-parameters/settings.md b/i18n/jp/docusaurus-plugin-content-docs/current/operations/server-configuration-parameters/settings.md
new file mode 100644
index 00000000000..78a444d6ffe
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/operations/server-configuration-parameters/settings.md
@@ -0,0 +1,4689 @@
+---
+description: 'このセクションでは、サーバー設定、すなわちセッションレベルやクエリレベルでは変更できない設定について説明します。'
+keywords: ['グローバルサーバー設定']
+sidebar_label: 'サーバー設定'
+sidebar_position: 57
+slug: /operations/server-configuration-parameters/settings
+title: 'サーバー設定'
+doc_type: 'reference'
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+import SystemLogParameters from '@site/i18n/jp/docusaurus-plugin-content-docs/current/operations/server-configuration-parameters/_snippets/_system-log-parameters.md';
+import SettingsInfoBlock from '@theme/SettingsInfoBlock/SettingsInfoBlock';
+
+
+# サーバー設定 {#server-settings}
+
+このセクションでは、サーバー設定について説明します。これらは、セッションレベルやクエリレベルでは変更できない設定です。
+
+ClickHouse の設定ファイルの詳細については、[「Configuration Files」](/operations/configuration-files) を参照してください。
+
+その他の設定については「[Settings](/operations/settings/overview)」セクションで説明しています。
+設定を理解する前に、[Configuration files](/operations/configuration-files)
+セクションを読み、置換（`incl` および `optional` 属性）の使い方に留意してください。
+
+## abort_on_logical_error {#abort_on_logical_error} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />LOGICAL_ERROR 例外発生時にサーバーを異常終了させます。専門家向けの設定です。
+
+## access&#95;control&#95;improvements {#access_control_improvements}
+
+アクセス制御システムにおけるオプションの改善に関する設定。
+
+| Setting                                         | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default |
+| ----------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| `users_without_row_policies_can_read_rows`      | 許可する ROW POLICY を持たないユーザーが、`SELECT` クエリを使用して行を読み取れるかどうかを設定します。たとえば、ユーザー A と B がいて、ROW POLICY が A に対してのみ定義されている場合、この設定が true であれば、ユーザー B はすべての行を参照できます。この設定が false の場合、ユーザー B は行を一切参照できません。                                                                                                                                                                                                   | `true`  |
+| `on_cluster_queries_require_cluster_grant`      | `ON CLUSTER` クエリに `CLUSTER` 権限が必須かどうかを設定します。                                                                                                                                                                                                                                                                                                                                                 | `true`  |
+| `select_from_system_db_requires_grant`          | `SELECT * FROM system.&lt;table&gt;` に何らかの権限が必要かどうか（false の場合は権限なしで任意のユーザーが実行可能かどうか）を設定します。true に設定した場合、このクエリには、非 system テーブルと同様に `GRANT SELECT ON system.&lt;table&gt;` が必要になります。例外: 一部の system テーブル（`tables`、`columns`、`databases` および `one`、`contributors` のような定数テーブル）は依然としてすべてのユーザーがアクセス可能です。また、もし `SHOW` 権限（例: `SHOW USERS`）が付与されている場合は、対応する system テーブル（すなわち `system.users`）にアクセスできます。 | `true`  |
+| `select_from_information_schema_requires_grant` | `SELECT * FROM information_schema.&lt;table&gt;` に何らかの権限が必要かどうか（false の場合は権限なしで任意のユーザーが実行可能かどうか）を設定します。true に設定した場合、このクエリには通常のテーブルと同様に `GRANT SELECT ON information_schema.&lt;table&gt;` が必要になります。                                                                                                                                                                                          | `true`  |
+| `settings_constraints_replace_previous`         | ある SETTINGS PROFILE 内で特定の設定に対して定義された CONSTRAINT が、その設定に対して以前に定義された CONSTRAINT（他のプロファイルで定義されたもの）による動作を、新しい CONSTRAINT で値が設定されていないフィールドも含めて打ち消すかどうかを設定します。また、`changeable_in_readonly` CONSTRAINT タイプを有効にします。                                                                                                                                                                                   | `true`  |
+| `table_engines_require_grant`                   | 特定のテーブルエンジンを使用してテーブルを作成する際に、権限が必要かどうかを設定します。                                                                                                                                                                                                                                                                                                                                                 | `false` |
+| `role_cache_expiration_time_seconds`            | 最終アクセスから、ロールが Role Cache に保持される秒数を設定します。                                                                                                                                                                                                                                                                                                                                                     | `600`   |
+
+Example:
+
+```xml
+<access_control_improvements>
+    <users_without_row_policies_can_read_rows>true</users_without_row_policies_can_read_rows>
+    <on_cluster_queries_require_cluster_grant>true</on_cluster_queries_require_cluster_grant>
+    <select_from_system_db_requires_grant>true</select_from_system_db_requires_grant>
+    <select_from_information_schema_requires_grant>true</select_from_information_schema_requires_grant>
+    <settings_constraints_replace_previous>true</settings_constraints_replace_previous>
+    <table_engines_require_grant>false</table_engines_require_grant>
+    <role_cache_expiration_time_seconds>600</role_cache_expiration_time_seconds>
+</access_control_improvements>
+```
+
+
+## access_control_path {#access_control_path} 
+
+ClickHouse サーバーが、SQL コマンドで作成されたユーザーおよびロールの設定を保存するフォルダーへのパスです。
+
+**関連項目**
+
+- [アクセス制御とアカウント管理](/operations/access-rights#access-control-usage)
+
+## aggregate_function_group_array_action_when_limit_is_reached {#aggregate_function_group_array_action_when_limit_is_reached} 
+
+<SettingsInfoBlock type="GroupArrayActionWhenLimitReached" default_value="throw" />groupArray で配列要素の最大サイズを超えた場合に実行するアクション：`throw` で例外を送出するか、`discard` で余分な値を破棄する
+
+## aggregate_function_group_array_max_element_size {#aggregate_function_group_array_max_element_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16777215" />groupArray 関数における配列要素の最大サイズ（バイト単位）。この制限はシリアル化時にチェックされ、状態サイズが過度に大きくなるのを防ぐのに役立ちます。
+
+## allow_feature_tier {#allow_feature_tier} 
+
+<SettingsInfoBlock type="UInt32" default_value="0" />
+
+ユーザーが異なる機能ティアに関連する設定を変更できるかどうかを制御します。
+
+- `0` - すべての設定（experimental、beta、production）の変更が許可されます。
+- `1` - beta および production 機能に関する設定のみ変更が許可されます。experimental に関する設定の変更は拒否されます。
+- `2` - production 機能に関する設定のみ変更が許可されます。experimental または beta に関する設定の変更は拒否されます。
+
+これは、すべての `EXPERIMENTAL` / `BETA` 機能に対して読み取り専用の CONSTRAINT を設定することと同等です。
+
+:::note
+値が `0` の場合、すべての設定を変更できます。
+:::
+
+## allow_impersonate_user {#allow_impersonate_user} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />IMPERSONATE 機能（EXECUTE AS target_user）を有効または無効にします。
+
+## allow&#95;implicit&#95;no&#95;password {#allow_implicit_no_password}
+
+&#39;IDENTIFIED WITH no&#95;password&#39; が明示的に指定されていない限り、パスワードなしでユーザーを作成することを禁止します。
+
+```xml
+<allow_implicit_no_password>1</allow_implicit_no_password>
+```
+
+
+## allow&#95;no&#95;password {#allow_no_password}
+
+安全ではないパスワード方式である `no_password` を許可するかどうかを設定します。
+
+```xml
+<allow_no_password>1</allow_no_password>
+```
+
+
+## allow&#95;plaintext&#95;password {#allow_plaintext_password}
+
+平文パスワード型（安全ではない）の使用を許可するかどうかを設定します。
+
+```xml
+<allow_plaintext_password>1</allow_plaintext_password>
+```
+
+
+## allow_use_jemalloc_memory {#allow_use_jemalloc_memory} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />jemalloc メモリの使用を許可します。
+
+## allowed_disks_for_table_engines {#allowed_disks_for_table_engines} 
+
+Iceberg での使用が許可されているディスクの一覧
+
+## async_insert_queue_flush_on_shutdown {#async_insert_queue_flush_on_shutdown} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />true の場合、グレースフルシャットダウン時に非同期 insert キューがフラッシュされます
+
+## async_insert_threads {#async_insert_threads} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />バックグラウンドでデータをパースして挿入するスレッドの最大数。0 を指定すると非同期モードは無効になります
+
+## async&#95;load&#95;databases {#async_load_databases}
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+データベースおよびテーブルを非同期でロードします。
+
+* `true` の場合、`Ordinary`、`Atomic`、`Replicated` エンジンを持つすべての非システムデータベースは、ClickHouse サーバーの起動後に非同期でロードされます。`system.asynchronous_loader` テーブル、およびサーバー設定 `tables_loader_background_pool_size` と `tables_loader_foreground_pool_size` を参照してください。まだロードされていないテーブルにアクセスしようとするクエリは、そのテーブルが利用可能になるまで待機します。ロード処理が失敗した場合、クエリは（`async_load_databases = false` の場合のようにサーバー全体をシャットダウンする代わりに）エラーを再スローします。少なくとも 1 つのクエリによって待機されているテーブルは、より高い優先度でロードされます。データベースに対する DDL クエリは、そのデータベースが利用可能になるまで待機します。また、待機中のクエリの総数に対する上限として `max_waiting_queries` を設定することも検討してください。
+* `false` の場合、すべてのデータベースはサーバー起動時にロードされます。
+
+**例**
+
+```xml
+<async_load_databases>true</async_load_databases>
+```
+
+
+## async&#95;load&#95;system&#95;database {#async_load_system_database}
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+system テーブルを非同期で読み込みます。`system` データベース内に大量のログテーブルやパーツがある場合に有用です。`async_load_databases` 設定とは独立しています。
+
+* `true` に設定すると、ClickHouse サーバーの起動後に、`Ordinary`、`Atomic`、`Replicated` エンジンを持つすべての system データベースが非同期で読み込まれます。`system.asynchronous_loader` テーブル、および `tables_loader_background_pool_size` と `tables_loader_foreground_pool_size` のサーバー設定を参照してください。まだ読み込まれていない system テーブルへアクセスしようとするクエリは、そのテーブルの起動が完了するまで待機します。少なくとも 1 つのクエリによって待機されているテーブルは、より高い優先度で読み込まれます。また、待機中のクエリの総数を制限するために `max_waiting_queries` 設定の利用も検討してください。
+* `false` に設定すると、system データベースはサーバーの起動前に読み込まれます。
+
+**例**
+
+```xml
+<async_load_system_database>true</async_load_system_database>
+```
+
+
+## asynchronous_heavy_metrics_update_period_s {#asynchronous_heavy_metrics_update_period_s} 
+
+<SettingsInfoBlock type="UInt32" default_value="120" />重い非同期メトリクスの更新間隔（秒）。
+
+## asynchronous&#95;insert&#95;log {#asynchronous_insert_log}
+
+非同期インサートをログに記録するための [asynchronous&#95;insert&#95;log](/operations/system-tables/asynchronous_insert_log) システムテーブルの設定。
+
+<SystemLogParameters />
+
+**例**
+
+```xml
+<clickhouse>
+    <asynchronous_insert_log>
+        <database>system</database>
+        <table>asynchronous_insert_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <partition_by>toYYYYMM(event_date)</partition_by>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+        <!-- <engine>Engine = MergeTree PARTITION BY event_date ORDER BY event_time TTL event_date + INTERVAL 30 day</engine> -->
+    </asynchronous_insert_log>
+</clickhouse>
+```
+
+
+## asynchronous&#95;metric&#95;log {#asynchronous_metric_log}
+
+ClickHouse Cloud のデプロイメントでは、デフォルトで有効になっています。
+
+お使いの環境でこの設定がデフォルトで有効になっていない場合は、ClickHouse のインストール方法に応じて、以下の手順に従って設定を有効または無効にできます。
+
+**有効化**
+
+非同期メトリクスログの履歴収集 [`system.asynchronous_metric_log`](../../operations/system-tables/asynchronous_metric_log.md) を手動で有効にするには、次の内容で `/etc/clickhouse-server/config.d/asynchronous_metric_log.xml` を作成します。
+
+```xml
+<clickhouse>
+     <asynchronous_metric_log>
+        <database>system</database>
+        <table>asynchronous_metric_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <collect_interval_milliseconds>1000</collect_interval_milliseconds>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+    </asynchronous_metric_log>
+</clickhouse>
+```
+
+**無効化**
+
+`asynchronous_metric_log` SETTING を無効化するには、次の内容で `/etc/clickhouse-server/config.d/disable_asynchronous_metric_log.xml` ファイルを作成する必要があります。
+
+```xml
+<clickhouse><asynchronous_metric_log remove="1" /></clickhouse>
+```
+
+<SystemLogParameters />
+
+
+## asynchronous_metrics_enable_heavy_metrics {#asynchronous_metrics_enable_heavy_metrics} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />重い非同期メトリクスの計算を有効にします。
+
+## asynchronous_metrics_keeper_metrics_only {#asynchronous_metrics_keeper_metrics_only} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />非同期メトリクスで keeper 関連のメトリクスのみを計算します。
+
+## asynchronous_metrics_update_period_s {#asynchronous_metrics_update_period_s} 
+
+<SettingsInfoBlock type="UInt32" default_value="1" />非同期メトリクスを更新する間隔（秒単位）。
+
+## auth_use_forwarded_address {#auth_use_forwarded_address} 
+
+プロキシ経由で接続しているクライアントに対して、認証に元の送信元アドレスを使用します。
+
+:::note
+転送されたアドレスは容易に偽装されうるため、この設定を使用する際は特に注意が必要です。このような認証を受け入れるサーバーには直接アクセスせず、必ず信頼できるプロキシ経由でのみアクセスするようにしてください。
+:::
+
+## background_buffer_flush_schedule_pool_size {#background_buffer_flush_schedule_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />バックグラウンドで [Buffer エンジンテーブル](/engines/table-engines/special/buffer) のフラッシュ処理を行うために使用されるスレッド数の上限。
+
+## background_common_pool_size {#background_common_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="8" />バックグラウンドで [*MergeTree-engine](/engines/table-engines/mergetree-family) テーブルに対して、主にガーベジコレクションを含むさまざまな処理を実行するために使用されるスレッド数の最大値です。
+
+## background_distributed_schedule_pool_size {#background_distributed_schedule_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />分散送信の実行に使用されるスレッド数の上限。
+
+## background_fetches_pool_size {#background_fetches_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />バックグラウンドで [*MergeTree-engine](/engines/table-engines/mergetree-family) テーブルの他のレプリカからデータパーツを取得するために使用されるスレッドの最大数。
+
+## background_merges_mutations_concurrency_ratio {#background_merges_mutations_concurrency_ratio} 
+
+<SettingsInfoBlock type="Float" default_value="2" />
+
+スレッド数に対する、同時に実行可能なバックグラウンドのマージおよびミューテーション数の比率を設定します。
+
+たとえば、この比率が 2 で [`background_pool_size`](/operations/server-configuration-parameters/settings#background_pool_size) が 16 に設定されている場合、ClickHouse は 32 個のバックグラウンドマージを同時に実行できます。これは、バックグラウンド処理を一時停止したり、後回しにしたりできるためです。小さなマージにより高い実行優先度を与えるために必要となります。
+
+:::note
+この比率は実行時に増やすことのみが可能です。小さくするにはサーバーを再起動する必要があります。
+
+[`background_pool_size`](/operations/server-configuration-parameters/settings#background_pool_size) SETTING と同様に、[`background_merges_mutations_concurrency_ratio`](/operations/server-configuration-parameters/settings#background_merges_mutations_concurrency_ratio) も後方互換性のために `default` プロファイルから適用できます。
+:::
+
+## background_merges_mutations_scheduling_policy {#background_merges_mutations_scheduling_policy} 
+
+<SettingsInfoBlock type="String" default_value="round_robin" />
+
+背景マージおよびミューテーションのスケジューリング方法を決定するポリシーです。指定可能な値は `round_robin` と `shortest_task_first` です。
+
+バックグラウンドスレッドプールで次に実行するマージまたはミューテーションを選択する際に使用されるアルゴリズムです。ポリシーはサーバーを再起動せずに、実行時に変更できます。
+後方互換性のために、`default` プロファイルからも適用できます。
+
+指定可能な値:
+
+- `round_robin` — すべての同時実行中のマージおよびミューテーションをラウンドロビン順に実行し、スタベーション（飢餓状態）を防ぎます。小さいマージはマージ対象のブロック数が少ないため、大きなマージよりも速く完了します。
+- `shortest_task_first` — 常により小さいマージまたはミューテーションを実行します。マージおよびミューテーションには、結果のサイズに基づいて優先度が割り当てられます。サイズの小さいマージは大きいマージよりも厳密に優先されます。このポリシーは小さいパーツをできるだけ速くマージすることを保証しますが、`INSERT` が非常に多いパーティションでは、大きなマージが無期限にスタベーションに陥る可能性があります。
+
+## background_message_broker_schedule_pool_size {#background_message_broker_schedule_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />メッセージストリーミングのバックグラウンド処理に使用されるスレッドの最大数。
+
+## background_move_pool_size {#background_move_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="8" />バックグラウンドで *MergeTree-engine テーブルのデータパーツを別のディスクまたはボリュームへ移動する際に使用される最大スレッド数。
+
+## background&#95;pool&#95;size {#background_pool_size}
+
+<SettingsInfoBlock type="UInt64" default_value="16" />
+
+MergeTree エンジンを使用するテーブルで、バックグラウンドのマージおよびミューテーションを実行するスレッド数を設定します。
+
+:::note
+
+* この設定は、後方互換性のため、ClickHouse サーバーの起動時に `default` プロファイルの設定からも適用できます。
+* 実行中にスレッド数を増やすことだけが可能です。
+* スレッド数を減らすにはサーバーを再起動する必要があります。
+* この設定を調整することで、CPU とディスクの負荷を管理できます。
+  :::
+
+:::danger
+プールサイズを小さくすると CPU とディスクリソースの消費は減りますが、バックグラウンド処理の進行が遅くなり、最終的にクエリ性能に影響する可能性があります。
+:::
+
+この値を変更する前に、次のような関連する MergeTree 設定も確認してください。
+
+* [`number_of_free_entries_in_pool_to_lower_max_size_of_merge`](../../operations/settings/merge-tree-settings.md#number_of_free_entries_in_pool_to_lower_max_size_of_merge)
+* [`number_of_free_entries_in_pool_to_execute_mutation`](../../operations/settings/merge-tree-settings.md#number_of_free_entries_in_pool_to_execute_mutation)
+* [`number_of_free_entries_in_pool_to_execute_optimize_entire_partition`](/operations/settings/merge-tree-settings#number_of_free_entries_in_pool_to_execute_optimize_entire_partition)
+
+**例**
+
+```xml
+<background_pool_size>16</background_pool_size>
+```
+
+
+## background_schedule_pool_max_parallel_tasks_per_type_ratio {#background_schedule_pool_max_parallel_tasks_per_type_ratio} 
+
+<SettingsInfoBlock type="Float" default_value="0.8" />同じ種類のタスクを同時に実行できるスレッド数が、プール内の全スレッド数に対して占める最大比率。
+
+## background_schedule_pool_size {#background_schedule_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="512" />レプリケートテーブル、Kafka ストリーミング、および DNS キャッシュ更新のための軽量な定期処理を継続的に実行する際に使用されるスレッドの最大数。
+
+## backup&#95;log {#backup_log}
+
+`BACKUP` および `RESTORE` 操作を記録するための [backup&#95;log](../../operations/system-tables/backup_log.md) システムテーブルの設定。
+
+<SystemLogParameters />
+
+**例**
+
+```xml
+<clickhouse>
+    <backup_log>
+        <database>system</database>
+        <table>backup_log</table>
+        <flush_interval_milliseconds>1000</flush_interval_milliseconds>
+        <partition_by>toYYYYMM(event_date)</partition_by>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+        <!-- <engine>Engine = MergeTree PARTITION BY event_date ORDER BY event_time TTL event_date + INTERVAL 30 day</engine> -->
+    </backup_log>
+</clickhouse>
+```
+
+
+## backup_threads {#backup_threads} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="16" />`BACKUP` リクエストの実行に使用されるスレッドの最大数。
+
+## backups {#backups}
+
+[`BACKUP` および `RESTORE`](../backup.md) 文を実行する際に使用される、バックアップに関する設定です。
+
+以下の設定はサブタグで構成できます。
+
+{/* SQL
+  WITH settings AS (
+  SELECT arrayJoin([
+    ('allow_concurrent_backups', 'Bool','同一ホスト上で複数のバックアップ処理を同時に実行できるかどうかを制御します。', 'true'),
+    ('allow_concurrent_restores', 'Bool', '同一ホスト上で複数のリストア処理を同時に実行できるかどうかを制御します。', 'true'),
+    ('allowed_disk', 'String', '`File()` を使用する場合のバックアップ先ディスク。この設定を有効にしないと `File` は使用できません。', ''),
+    ('allowed_path', 'String', '`File()` を使用する場合のバックアップ先パス。この設定を有効にしないと `File` は使用できません。', ''),
+    ('attempts_to_collect_metadata_before_sleep', 'UInt', '収集したメタデータを比較した結果に不整合があった場合、スリープに入る前にメタデータ収集を行う試行回数。', '2'),
+    ('collect_metadata_timeout', 'UInt64', 'バックアップ中のメタデータ収集に対するタイムアウト（ミリ秒）。', '600000'),
+    ('compare_collected_metadata', 'Bool', 'true の場合、収集したメタデータを既存のメタデータと比較し、バックアップ中に変更されていないことを確認します。', 'true'),
+    ('create_table_timeout', 'UInt64', 'リストア中にテーブルを作成する際のタイムアウト（ミリ秒）。', '300000'),
+    ('max_attempts_after_bad_version', 'UInt64', '協調バックアップ／リストア中に不正なバージョンエラーが発生した後で、再試行を行う最大回数。', '3'),
+    ('max_sleep_before_next_attempt_to_collect_metadata', 'UInt64', 'メタデータ収集を次に試行するまでの最大スリープ時間（ミリ秒）。', '100'),
+    ('min_sleep_before_next_attempt_to_collect_metadata', 'UInt64', 'メタデータ収集を次に試行するまでの最小スリープ時間（ミリ秒）。', '5000'),
+    ('remove_backup_files_after_failure', 'Bool', '`BACKUP` コマンドが失敗した場合、ClickHouse は失敗前にバックアップへコピー済みのファイルを削除しようとします。false の場合は、コピー済みファイルはそのまま残されます。', 'true'),
+    ('sync_period_ms', 'UInt64', '協調バックアップ／リストアにおける同期間隔（ミリ秒）。', '5000'),
+    ('test_inject_sleep', 'Bool', 'テスト用のスリープ挿入。', 'false'),
+    ('test_randomize_order', 'Bool', 'true の場合、テスト目的で一部の処理の実行順序をランダム化します。', 'false'),
+    ('zookeeper_path', 'String', '`ON CLUSTER` 句を使用する場合に、バックアップおよびリストア用メタデータが保存される ZooKeeper 上のパス。', '/clickhouse/backups')
+  ]) AS t )
+  SELECT concat('`', t.1, '`') AS Setting, t.2 AS Type, t.3 AS Description, concat('`', t.4, '`') AS Default FROM settings FORMAT Markdown
+  */ }
+
+
+| Setting                                             | Type   | Description                                                                                      | Default               |
+| :-------------------------------------------------- | :----- | :----------------------------------------------------------------------------------------------- | :-------------------- |
+| `allow_concurrent_backups`                          | Bool   | 同一ホストで複数のバックアップ処理を同時に実行できるかどうかを制御します。                                                            | `true`                |
+| `allow_concurrent_restores`                         | Bool   | 同一ホストで複数のリストア処理を同時に実行できるかどうかを制御します。                                                              | `true`                |
+| `allowed_disk`                                      | String | `File()` を使用する場合にバックアップを書き出すディスク。この設定を指定しないと `File` は使用できません。                                    | ``                    |
+| `allowed_path`                                      | String | `File()` を使用する場合にバックアップを書き出すパス。この設定を指定しないと `File` は使用できません。                                      | ``                    |
+| `attempts_to_collect_metadata_before_sleep`         | UInt   | 収集したメタデータを比較した結果、不整合があった場合にスリープへ移行する前、メタデータ収集を試行する回数。                                            | `2`                   |
+| `collect_metadata_timeout`                          | UInt64 | バックアップ中にメタデータを収集する際のタイムアウト（ミリ秒）。                                                                 | `600000`              |
+| `compare_collected_metadata`                        | Bool   | true の場合、バックアップ中にメタデータが変更されていないことを確認するために、収集したメタデータを既存のメタデータと比較します。                              | `true`                |
+| `create_table_timeout`                              | UInt64 | リストア時にテーブルを作成する際のタイムアウト（ミリ秒）。                                                                    | `300000`              |
+| `max_attempts_after_bad_version`                    | UInt64 | 協調バックアップ／リストア中にバージョン不整合エラーが発生した後に、リトライを行う最大試行回数。                                                 | `3`                   |
+| `max_sleep_before_next_attempt_to_collect_metadata` | UInt64 | 次のメタデータ収集を試行する前にスリープする最大時間（ミリ秒）。                                                                 | `100`                 |
+| `min_sleep_before_next_attempt_to_collect_metadata` | UInt64 | 次のメタデータ収集を試行する前にスリープする最小時間（ミリ秒）。                                                                 | `5000`                |
+| `remove_backup_files_after_failure`                 | Bool   | `BACKUP` コマンドが失敗した場合、ClickHouse は失敗前にバックアップ先へコピー済みのファイルを削除しようとします。false の場合、コピー済みファイルはそのまま残されます。 | `true`                |
+| `sync_period_ms`                                    | UInt64 | 協調バックアップ／リストアの同期周期（ミリ秒）。                                                                         | `5000`                |
+| `test_inject_sleep`                                 | Bool   | テスト用途でスリープを挿入するための設定。                                                                            | `false`               |
+| `test_randomize_order`                              | Bool   | true の場合、テスト目的で特定の処理順序をランダム化します。                                                                 | `false`               |
+| `zookeeper_path`                                    | String | `ON CLUSTER` 句を使用する場合に、バックアップおよびリストアのメタデータを保存する ZooKeeper 上のパス。                                  | `/clickhouse/backups` |
+
+これらの設定のデフォルト値は次のとおりです。
+
+```xml
+<backups>
+    ....
+</backups>
+```
+
+
+## backups_io_thread_pool_queue_size {#backups_io_thread_pool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+Backups IO スレッドプールにスケジュールできるジョブの最大数です。現在の S3 バックアップのロジックのため、このキューは無制限のままにしておくことを推奨します。
+
+:::note
+`0`（デフォルト）の値は、無制限を意味します。
+:::
+
+## bcrypt&#95;workfactor {#bcrypt_workfactor}
+
+`bcrypt_password` 認証タイプで使用される [Bcrypt アルゴリズム](https://wildlyinaccurate.com/bcrypt-choosing-a-work-factor/) のワークファクターです。
+ワークファクターによって、ハッシュの計算およびパスワードの検証に必要な計算量と時間が決まります。
+
+```xml
+<bcrypt_workfactor>12</bcrypt_workfactor>
+```
+
+:::warning
+高頻度で認証を行うアプリケーションでは、
+ワークファクターを高く設定した場合の bcrypt の計算コストを考慮し、
+別の認証方式の利用を検討してください。
+:::
+
+
+## blob&#95;storage&#95;log {#blob_storage_log}
+
+[`blob_storage_log`](../system-tables/blob_storage_log.md) システムテーブルの設定。
+
+<SystemLogParameters />
+
+例：
+
+```xml
+<blob_storage_log>
+    <database>system</database
+    <table>blob_storage_log</table
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds
+    <ttl>event_date + INTERVAL 30 DAY</ttl>
+</blob_storage_log>
+```
+
+
+## builtin&#95;dictionaries&#95;reload&#95;interval {#builtin_dictionaries_reload_interval}
+
+組み込み辞書を再読み込みするまでの間隔（秒）。
+
+ClickHouse は組み込み辞書を x 秒ごとに再読み込みします。これにより、サーバーを再起動することなく、稼働中に辞書を編集できます。
+
+**例**
+
+```xml
+<builtin_dictionaries_reload_interval>3600</builtin_dictionaries_reload_interval>
+```
+
+
+## cache_size_to_ram_max_ratio {#cache_size_to_ram_max_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />キャッシュサイズのRAMに対する最大比率を設定します。メモリの少ないシステムでキャッシュサイズを小さく抑えることができます。
+
+## cannot_allocate_thread_fault_injection_probability {#cannot_allocate_thread_fault_injection_probability} 
+
+<SettingsInfoBlock type="Double" default_value="0" />テスト目的で使用する設定です。
+
+## cgroups_memory_usage_observer_wait_time {#cgroups_memory_usage_observer_wait_time} 
+
+<SettingsInfoBlock type="UInt64" default_value="15" />
+
+サーバーで許可される最大メモリ使用量が、cgroups 内の対応するしきい値に基づいて調整される秒単位の間隔です。
+
+cgroup オブザーバーを無効にするには、この値を `0` に設定します。
+
+## compiled_expression_cache_elements_size {#compiled_expression_cache_elements_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />[コンパイル済み式](../../operations/caches.md)のキャッシュサイズ（要素数）を設定します。
+
+## compiled_expression_cache_size {#compiled_expression_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="134217728" />[compiled expressions](../../operations/caches.md) 用のキャッシュのサイズ（バイト単位）を設定します。
+
+## 圧縮 {#compression}
+
+[MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) エンジンを使用するテーブルのデータ圧縮設定。
+
+:::note
+ClickHouse の利用を開始したばかりの場合は、この設定は変更しないことを推奨します。
+:::
+
+**構成テンプレート**:
+
+```xml
+<compression>
+    <case>
+      <min_part_size>...</min_part_size>
+      <min_part_size_ratio>...</min_part_size_ratio>
+      <method>...</method>
+      <level>...</level>
+    </case>
+    ...
+</compression>
+```
+
+**`<case>` フィールド**:
+
+* `min_part_size` – データパートの最小サイズ。
+* `min_part_size_ratio` – データパートサイズとテーブルサイズの比率。
+* `method` – 圧縮方式。指定可能な値: `lz4`, `lz4hc`, `zstd`, `deflate_qpl`。
+* `level` – 圧縮レベル。[Codecs](/sql-reference/statements/create/table#general-purpose-codecs) を参照してください。
+
+:::note
+複数の `<case>` セクションを設定できます。
+:::
+
+**条件を満たしたときの動作**:
+
+* データパートが条件セットに一致した場合、ClickHouse は指定された圧縮方式を使用します。
+* データパートが複数の条件セットに一致した場合、ClickHouse は最初に一致した条件セットを使用します。
+
+:::note
+データパートがいずれの条件セットにも一致しない場合、ClickHouse は `lz4` 圧縮を使用します。
+:::
+
+**例**
+
+```xml
+<compression incl="clickhouse_compression">
+    <case>
+        <min_part_size>10000000000</min_part_size>
+        <min_part_size_ratio>0.01</min_part_size_ratio>
+        <method>zstd</method>
+        <level>1</level>
+    </case>
+</compression>
+```
+
+
+## concurrent_threads_scheduler {#concurrent_threads_scheduler} 
+
+<SettingsInfoBlock type="String" default_value="fair_round_robin" />
+
+`concurrent_threads_soft_limit_num` および `concurrent_threads_soft_limit_ratio_to_cores` で指定される CPU スロットのスケジューリング方法を決定するポリシーです。制限された数の CPU スロットを同時実行クエリ間でどのように分配するかを制御するアルゴリズムです。スケジューラはサーバーの再起動なしに実行時に変更できます。
+
+指定可能な値:
+
+- `round_robin` — `use_concurrency_control` = 1 に設定されているすべてのクエリは、最大で `max_threads` 個の CPU スロットを確保します。スレッドにつき 1 スロットです。競合が発生した場合、CPU スロットはクエリに対してラウンドロビン方式で付与されます。最初のスロットは無条件に付与される点に注意してください。これにより、多数の `max_threads` = 1 のクエリが存在する状況では、`max_threads` が大きいクエリの不公平さやレイテンシ増大を招く可能性があります。
+- `fair_round_robin` — `use_concurrency_control` = 1 に設定されているすべてのクエリは、最大で `max_threads - 1` 個の CPU スロットを確保します。各クエリの最初のスレッドに CPU スロットを要求しない、`round_robin` のバリエーションです。これにより、`max_threads` = 1 のクエリはスロットを一切必要とせず、スロットを不公平に占有することがなくなります。無条件に付与されるスロットは存在しません。
+
+## concurrent_threads_soft_limit_num {#concurrent_threads_soft_limit_num} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+リモートサーバーからのデータ取得用スレッドを除き、すべてのクエリの処理に使用できるクエリ処理スレッドの最大数です。これはハードリミットではありません。上限に達した場合でも、クエリには少なくとも 1 つのスレッドが割り当てられて実行されます。より多くのスレッドが利用可能になれば、実行中のクエリは必要なスレッド数までスケールアップできます。
+
+:::note
+`0`（デフォルト）の値は無制限を意味します。
+:::
+
+## concurrent_threads_soft_limit_ratio_to_cores {#concurrent_threads_soft_limit_ratio_to_cores} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />[`concurrent_threads_soft_limit_num`](#concurrent_threads_soft_limit_num) と同様ですが、コア数に対する比率として指定します。
+
+## config_reload_interval_ms {#config_reload_interval_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="2000" />
+
+ClickHouse が設定を再読み込みし、変更の有無を確認する間隔
+
+## core&#95;dump {#core_dump}
+
+コアダンプファイルのサイズに対するソフトリミットを設定します。
+
+:::note
+ハードリミットはシステムツールで設定します
+:::
+
+**例**
+
+```xml
+<core_dump>
+     <size_limit>1073741824</size_limit>
+</core_dump>
+```
+
+
+## cpu&#95;slot&#95;preemption {#cpu_slot_preemption}
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+CPU リソース（MASTER THREAD と WORKER THREAD）に対するワークロードのスケジューリング方法を定義します。
+
+* `true`（推奨）の場合、実際に消費された CPU 時間に基づいて計測を行います。競合するワークロードには、CPU 時間が公平に割り当てられます。スロットは一定時間だけ割り当てられ、有効期限後に再度リクエストされます。CPU リソースが過負荷の場合、スロットのリクエストがスレッド実行をブロックする可能性があり、その結果プリエンプションが発生する場合があります。これにより、CPU 時間の公平性が保証されます。
+* `false`（デフォルト）の場合、計測は割り当てられた CPU スロット数に基づいて行われます。競合するワークロードには、CPU スロットが公平に割り当てられます。スロットはスレッド開始時に割り当てられ、終了するまで継続的に保持され、スレッドの実行が終了すると解放されます。クエリ実行に割り当てられるスレッド数は 1 から `max_threads` まで増加するだけで、減少することはありません。これは長時間実行されるクエリに有利ですが、短いクエリが CPU 飢餓状態に陥る可能性があります。
+
+**Example**
+
+```xml
+<cpu_slot_preemption>true</cpu_slot_preemption>
+```
+
+**関連項目**
+
+* [ワークロードのスケジューリング](/operations/workload-scheduling.md)
+
+
+## cpu&#95;slot&#95;preemption&#95;timeout&#95;ms {#cpu_slot_preemption_timeout_ms}
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+この設定は、プリエンプション中、つまり別の CPU スロットが付与されるのを待っている間に、ワーカースレッドが待機できる最大ミリ秒数を定義します。このタイムアウト後もスレッドが新しい CPU スロットを取得できなかった場合、そのスレッドは終了し、クエリは同時実行スレッド数がより少ない構成へと動的にスケールダウンされます。なお、マスタースレッド自体がスケールダウンされることはありませんが、無期限にプリエンプトされる可能性があります。この設定は、`cpu_slot_preemption` が有効であり、かつ WORKER THREAD に対して CPU リソースが定義されている場合にのみ意味を持ちます。
+
+**例**
+
+```xml
+<cpu_slot_preemption_timeout_ms>1000</cpu_slot_preemption_timeout_ms>
+```
+
+**関連項目**
+
+* [Workload Scheduling](/operations/workload-scheduling.md)
+
+
+## cpu&#95;slot&#95;quantum&#95;ns {#cpu_slot_quantum_ns}
+
+<SettingsInfoBlock type="UInt64" default_value="10000000" />
+
+スレッドが CPU スロットを取得した後、別の CPU スロットを再度要求するまでに消費できる CPU ナノ秒数を定義します。`cpu_slot_preemption` が有効であり、MASTER THREAD または WORKER THREAD に対して CPU リソースが定義されている場合にのみ意味を持ちます。
+
+**例**
+
+```xml
+<cpu_slot_quantum_ns>10000000</cpu_slot_quantum_ns>
+```
+
+**関連項目**
+
+* [ワークロードスケジューリング](/operations/workload-scheduling.md)
+
+
+## crash&#95;log {#crash_log}
+
+[crash&#95;log](../../operations/system-tables/crash_log.md) システムテーブルの動作に関する設定。
+
+次の設定はサブタグで指定できます。
+
+| Setting                            | Description                                                                                                                          | Default             | Note                                                                                |
+| ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ | ------------------- | ----------------------------------------------------------------------------------- |
+| `database`                         | データベース名。                                                                                                                             |                     |                                                                                     |
+| `table`                            | システムテーブル名。                                                                                                                           |                     |                                                                                     |
+| `engine`                           | システムテーブル用の [MergeTree Engine Definition](/engines/table-engines/mergetree-family/mergetree#table_engine-mergetree-creating-a-table)。 |                     | `partition_by` または `order_by` が定義されている場合は使用できません。指定しない場合、デフォルトで `MergeTree` が選択されます |
+| `partition_by`                     | システムテーブル用の [Custom partitioning key](/engines/table-engines/mergetree-family/custom-partitioning-key.md)。                            |                     | システムテーブルに `engine` を指定する場合、`partition_by` パラメータは直接 &#39;engine&#39; 内で指定する必要があります   |
+| `ttl`                              | テーブルの [TTL](/engines/table-engines/mergetree-family/mergetree#table_engine-mergetree-ttl) を指定します。                                    |                     | システムテーブルに `engine` を指定する場合、`ttl` パラメータは直接 &#39;engine&#39; 内で指定する必要があります            |
+| `order_by`                         | システムテーブル用の [Custom sorting key](/engines/table-engines/mergetree-family/mergetree#order_by)。`engine` が定義されている場合は使用できません。             |                     | システムテーブルに `engine` を指定する場合、`order_by` パラメータは直接 &#39;engine&#39; 内で指定する必要があります       |
+| `storage_policy`                   | テーブルに使用するストレージポリシー名（任意）。                                                                                                             |                     | システムテーブルに `engine` を指定する場合、`storage_policy` パラメータは直接 &#39;engine&#39; 内で指定する必要があります |
+| `settings`                         | MergeTree の動作を制御する [Additional parameters](/engines/table-engines/mergetree-family/mergetree/#settings)（任意）。                         |                     | システムテーブルに `engine` を指定する場合、`settings` パラメータは直接 &#39;engine&#39; 内で指定する必要があります       |
+| `flush_interval_milliseconds`      | メモリ上のバッファからテーブルへデータをフラッシュする間隔。                                                                                                       | `7500`              |                                                                                     |
+| `max_size_rows`                    | ログの最大サイズ（行数）。フラッシュされていないログの量が max&#95;size に達すると、ログはディスクに書き出されます。                                                                    | `1024`              |                                                                                     |
+| `reserved_size_rows`               | ログ用にあらかじめ確保されるメモリサイズ（行数）。                                                                                                            | `1024`              |                                                                                     |
+| `buffer_size_rows_flush_threshold` | 行数のしきい値。このしきい値に達すると、バックグラウンドでディスクへのログフラッシュが開始されます。                                                                                   | `max_size_rows / 2` |                                                                                     |
+| `flush_on_crash`                   | クラッシュ時にログをディスクへ書き出すかどうかを設定します。                                                                                                       | `false`             |                                                                                     |
+
+デフォルトのサーバー設定ファイル `config.xml` には、次の設定セクションが含まれています。
+
+```xml
+<crash_log>
+    <database>system</database>
+    <table>crash_log</table>
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1024</max_size_rows>
+    <reserved_size_rows>1024</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>512</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</crash_log>
+```
+
+
+## custom&#95;cached&#95;disks&#95;base&#95;directory {#custom_cached_disks_base_directory}
+
+この設定は、カスタム（SQL から作成された）キャッシュディスク用のキャッシュパスを指定します。
+`custom_cached_disks_base_directory` はカスタムディスクに対して `filesystem_caches_path`（`filesystem_caches_path.xml` 内に記載）よりも優先され、
+前者が設定されていない場合には後者が使用されます。
+ファイルシステムキャッシュのパスは、このディレクトリ配下でなければなりません。
+そうでない場合、ディスクの作成を防ぐために例外がスローされます。
+
+:::note
+これは、サーバーをアップグレードする前の古いバージョンで作成されたディスクには影響しません。
+この場合、サーバーが正常に起動できるように、例外はスローされません。
+:::
+
+例:
+
+```xml
+<custom_cached_disks_base_directory>/var/lib/clickhouse/caches/</custom_cached_disks_base_directory>
+```
+
+
+## custom&#95;settings&#95;prefixes {#custom_settings_prefixes}
+
+[カスタム設定](/operations/settings/query-level#custom_settings) 用の接頭辞の一覧です。複数指定する場合は、カンマ区切りで指定します。
+
+**例**
+
+```xml
+<custom_settings_prefixes>custom_</custom_settings_prefixes>
+```
+
+**関連項目**
+
+* [カスタム設定](/operations/settings/query-level#custom_settings)
+
+
+## database_atomic_delay_before_drop_table_sec {#database_atomic_delay_before_drop_table_sec} 
+
+<SettingsInfoBlock type="UInt64" default_value="480" />
+
+削除されたテーブルを [`UNDROP`](/sql-reference/statements/undrop.md) 文を使用して復元できる時間です。`DROP TABLE` が `SYNC` 修飾子付きで実行された場合、この設定は無視されます。
+この設定のデフォルト値は `480`（8 分）です。
+
+## database_catalog_drop_error_cooldown_sec {#database_catalog_drop_error_cooldown_sec} 
+
+<SettingsInfoBlock type="UInt64" default_value="5" />テーブルの削除に失敗した場合、ClickHouse はこのタイムアウト時間が経過するまで待ってから操作を再試行します。
+
+## database_catalog_drop_table_concurrency {#database_catalog_drop_table_concurrency} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />テーブルを削除するために使用されるスレッドプールのサイズ。
+
+## database_catalog_unused_dir_cleanup_period_sec {#database_catalog_unused_dir_cleanup_period_sec} 
+
+<SettingsInfoBlock type="UInt64" default_value="86400" />
+
+`store/` ディレクトリから不要なデータをクリーンアップするタスクのパラメーターです。
+タスクの実行間隔（スケジューリング周期）を設定します。
+
+:::note
+値 `0` は「実行しない」を意味します。デフォルト値は 1 日に相当します。
+:::
+
+## database_catalog_unused_dir_hide_timeout_sec {#database_catalog_unused_dir_hide_timeout_sec} 
+
+<SettingsInfoBlock type="UInt64" default_value="3600" />
+
+`store/` ディレクトリから不要なディレクトリをクリーンアップするタスクのパラメータです。
+あるサブディレクトリが clickhouse-server によって使用されておらず、かつ直近
+[`database_catalog_unused_dir_hide_timeout_sec`](/operations/server-configuration-parameters/settings#database_catalog_unused_dir_hide_timeout_sec) 秒の間に更新されていない場合、このタスクは
+そのディレクトリのすべてのアクセス権を削除することでディレクトリを「非表示」にします。これは、clickhouse-server が
+`store/` 内に存在することを想定していないディレクトリに対しても動作します。
+
+:::note
+`0` の値は「即時」を意味します。
+:::
+
+## database_catalog_unused_dir_rm_timeout_sec {#database_catalog_unused_dir_rm_timeout_sec} 
+
+<SettingsInfoBlock type="UInt64" default_value="2592000" />
+
+`store/` ディレクトリ内の不要なディレクトリをクリーンアップするタスクのパラメータです。
+あるサブディレクトリが clickhouse-server によって使用されておらず、以前に「非表示」にされていて
+（[database_catalog_unused_dir_hide_timeout_sec](/operations/server-configuration-parameters/settings#database_catalog_unused_dir_hide_timeout_sec) を参照）、
+かつ、そのディレクトリが直近
+[`database_catalog_unused_dir_rm_timeout_sec`](/operations/server-configuration-parameters/settings#database_catalog_unused_dir_rm_timeout_sec) 秒の間に更新されていない場合、このタスクはそのディレクトリを削除します。
+また、clickhouse-server が `store/` 内に存在することを想定していないディレクトリにも適用されます。
+
+:::note
+値が `0` の場合は「削除しない（無期限）」を意味します。デフォルト値は 30 日に相当します。
+:::
+
+## database_replicated_allow_detach_permanently {#database_replicated_allow_detach_permanently} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />Replicated データベースでテーブルを永続的にデタッチできるようにする
+
+## database_replicated_drop_broken_tables {#database_replicated_drop_broken_tables} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />予期しないテーブルを、別のローカルデータベースに移動するのではなく Replicated データベースから削除します
+
+## dead&#95;letter&#95;queue {#dead_letter_queue}
+
+「dead&#95;letter&#95;queue」システムテーブルの設定です。
+
+<SystemLogParameters />
+
+デフォルトの設定は次のとおりです。
+
+```xml
+<dead_letter_queue>
+    <database>system</database>
+    <table>dead_letter</table>
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+</dead_letter_queue>
+```
+
+
+## default_database {#default_database} 
+
+<SettingsInfoBlock type="String" default_value="default" />既定のデータベース名です。
+
+## default&#95;password&#95;type {#default_password_type}
+
+`CREATE USER u IDENTIFIED BY 'p'` のようなクエリで自動的に設定されるパスワードの種類を指定します。
+
+指定可能な値は次のとおりです:
+
+* `plaintext_password`
+* `sha256_password`
+* `double_sha1_password`
+* `bcrypt_password`
+
+```xml
+<default_password_type>sha256_password</default_password_type>
+```
+
+
+## default&#95;profile {#default_profile}
+
+デフォルトのSETTINGS PROFILE。SETTINGS PROFILEは、`user_config` SETTINGで指定されたファイルに定義されています。
+
+**例**
+
+```xml
+<default_profile>default</default_profile>
+```
+
+
+## default&#95;replica&#95;name {#default_replica_name}
+
+<SettingsInfoBlock type="String" default_value="{replica}" />
+
+ZooKeeper 上のレプリカ名。
+
+**例**
+
+```xml
+<default_replica_name>{replica}</default_replica_name>
+```
+
+
+## default&#95;replica&#95;path {#default_replica_path}
+
+<SettingsInfoBlock type="String" default_value="/clickhouse/tables/{uuid}/{shard}" />
+
+ZooKeeper内のテーブルへのパス。
+
+**例**
+
+```xml
+<default_replica_path>/clickhouse/tables/{uuid}/{shard}</default_replica_path>
+```
+
+
+## default&#95;session&#95;timeout {#default_session_timeout}
+
+セッションのデフォルトタイムアウト時間（秒）。
+
+```xml
+<default_session_timeout>60</default_session_timeout>
+```
+
+
+## dictionaries&#95;config {#dictionaries_config}
+
+dictionaries の設定ファイルへのパスです。
+
+パス:
+
+* 絶対パス、またはサーバー設定ファイルからの相対パスを指定します。
+* パスにはワイルドカードの * および ? を含めることができます。
+
+関連項目:
+
+* 「[Dictionaries](../../sql-reference/dictionaries/index.md)」。
+
+**例**
+
+```xml
+<dictionaries_config>*_dictionary.xml</dictionaries_config>
+```
+
+
+## dictionaries&#95;lazy&#95;load {#dictionaries_lazy_load}
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+Dictionary の遅延読み込みを行います。
+
+* `true` の場合、各 Dictionary は最初に使用されたときに読み込まれます。読み込みに失敗した場合、その Dictionary を使用していた関数は例外をスローします。
+* `false` の場合、サーバーは起動時にすべての Dictionary を読み込みます。
+
+:::note
+サーバーは、すべての Dictionary の読み込みが完了するまで起動時に待機し、その後にのみ接続を受け付けます
+（ただし、[`wait_dictionaries_load_at_startup`](/operations/server-configuration-parameters/settings#wait_dictionaries_load_at_startup) が `false` に設定されている場合を除きます）。
+:::
+
+**例**
+
+```xml
+<dictionaries_lazy_load>true</dictionaries_lazy_load>
+```
+
+
+## dictionary_background_reconnect_interval {#dictionary_background_reconnect_interval} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />`background_reconnect` が有効になっている MySQL および Postgres の Dictionary について、接続に失敗した場合に再接続を試行する間隔（ミリ秒単位）。
+
+## disable_insertion_and_mutation {#disable_insertion_and_mutation} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+INSERT/ALTER/DELETE クエリを無効にします。読み取り専用ノードが必要な場合に、この設定を有効にすると、挿入やミューテーションが読み取りパフォーマンスに影響を与えるのを防げます。S3、DataLake、MySQL、PostrgeSQL、Kafka などの外部エンジンへの INSERT は、この設定にかかわらず許可されます。
+
+## disable_internal_dns_cache {#disable_internal_dns_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />内部 DNS キャッシュを無効にします。Kubernetes のようにインフラストラクチャが頻繁に変化するシステムで ClickHouse を運用する場合に、この設定を推奨します。
+
+## disable&#95;tunneling&#95;for&#95;https&#95;requests&#95;over&#95;http&#95;proxy {#disable_tunneling_for_https_requests_over_http_proxy}
+
+デフォルトでは、トンネリング（`HTTP CONNECT`）を使用して `HTTP` プロキシ経由で `HTTPS` リクエストを行います。この設定を使用すると、トンネリングを無効化できます。
+
+**no&#95;proxy**
+
+デフォルトでは、すべてのリクエストがプロキシを経由します。特定のホストに対してプロキシを無効にするには、`no_proxy` 変数を設定する必要があります。
+これは、list および remote resolver では `<proxy>` 句の中で、environment resolver では環境変数として設定できます。
+IP アドレス、ドメイン、サブドメイン、および完全にバイパスするためのワイルドカード `'*'` をサポートします。curl と同様に、先頭のドットは削除されます。
+
+**Example**
+
+次の設定では、`clickhouse.cloud` およびそのすべてのサブドメイン（例: `auth.clickhouse.cloud`）へのリクエストはプロキシをバイパスします。
+GitLab についても同様で、先頭にドットを付けて指定した場合でも同じように扱われます。`gitlab.com` と `about.gitlab.com` の両方がプロキシをバイパスします。
+
+```xml
+<proxy>
+    <no_proxy>clickhouse.cloud,.gitlab.com</no_proxy>
+    <http>
+        <uri>http://proxy1</uri>
+        <uri>http://proxy2:3128</uri>
+    </http>
+    <https>
+        <uri>http://proxy1:3128</uri>
+    </https>
+</proxy>
+```
+
+
+## disk_connections_hard_limit {#disk_connections_hard_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="20000" />この制限に達すると、作成時に例外がスローされます。0 に設定するとハード制限を無効にできます。この制限はディスク接続数に適用されます。
+
+## disk_connections_soft_limit {#disk_connections_soft_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />この上限を超えた接続は、有効期間 (time to live, TTL) が大幅に短くなります。この上限はディスク接続に適用されます。
+
+## disk_connections_store_limit {#disk_connections_store_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />この上限を超える接続は、使用後にリセットされます。接続キャッシュを無効にするには 0 に設定します。この上限はディスクへの接続に適用されます。
+
+## disk_connections_warn_limit {#disk_connections_warn_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="8000" />使用中の接続数がこの制限を超えた場合、警告メッセージがログに書き込まれます。この制限はディスクの接続に適用されます。
+
+## display_secrets_in_show_and_select {#display_secrets_in_show_and_select} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+テーブル、データベース、テーブル関数、およびディクショナリに対して実行される `SHOW` および `SELECT` クエリで、シークレットを表示するかどうかを有効または無効にします。
+
+シークレットを表示したいユーザーは、
+[`format_display_secrets_in_show_and_select` フォーマット設定](../settings/formats#format_display_secrets_in_show_and_select)
+を有効にし、かつ
+[`displaySecretsInShowAndSelect`](/sql-reference/statements/grant#displaysecretsinshowandselect) 権限を持っている必要があります。
+
+取り得る値:
+
+- `0` — 無効。
+- `1` — 有効。
+
+## distributed_cache_apply_throttling_settings_from_client {#distributed_cache_apply_throttling_settings_from_client} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />キャッシュサーバーがクライアントから受信したスロットリング設定を適用するかどうかを制御します。
+
+## distributed_cache_keep_up_free_connections_ratio {#distributed_cache_keep_up_free_connections_ratio} 
+
+<SettingsInfoBlock type="Float" default_value="0.1" />distributed cache が維持しようとする空き接続数に対するソフトリミットです。空き接続数が distributed_cache_keep_up_free_connections_ratio * max_connections を下回ると、この制限を上回るまで、最後のアクティビティが最も古い接続から順に閉じられます。
+
+## distributed&#95;ddl {#distributed_ddl}
+
+クラスタ上で [分散 DDL クエリ](../../sql-reference/distributed-ddl.md)（`CREATE`、`DROP`、`ALTER`、`RENAME`）の実行を管理します。
+[ZooKeeper](/operations/server-configuration-parameters/settings#zookeeper) が有効になっている場合にのみ動作します。
+
+`<distributed_ddl>` 内で設定可能な項目は次のとおりです。
+
+| Setting                | Description                                                                    | Default Value                 |
+| ---------------------- | ------------------------------------------------------------------------------ | ----------------------------- |
+| `path`                 | DDL クエリ用の `task_queue` がある Keeper 内のパス                                         |                               |
+| `profile`              | DDL クエリの実行に使用されるプロファイル                                                         |                               |
+| `pool_size`            | 同時に実行できる `ON CLUSTER` クエリの数                                                    |                               |
+| `max_tasks_in_queue`   | キュー内に保持できるタスクの最大数                                                              | `1,000`                       |
+| `task_max_lifetime`    | ノードの存続時間がこの値を超えた場合、そのノードを削除します。                                                | `7 * 24 * 60 * 60`（秒単位で 1 週間） |
+| `cleanup_delay_period` | 新しいノードイベントを受信したとき、前回のクリーンアップから `cleanup_delay_period` 秒以上経過していればクリーンアップを開始します。 | `60` 秒                        |
+
+**例**
+
+```xml
+<distributed_ddl>
+    <!-- ZooKeeper内のDDLクエリキューへのパス -->
+    <path>/clickhouse/task_queue/ddl</path>
+
+    <!-- このプロファイルの設定を使用してDDLクエリを実行します -->
+    <profile>default</profile>
+
+    <!-- ON CLUSTERクエリの同時実行数を制御します -->
+    <pool_size>1</pool_size>
+
+    <!--
+         クリーンアップ設定（アクティブなタスクは削除されません）
+    -->
+
+    <!-- タスクの有効期限 (TTL) を制御します（デフォルト: 1週間） -->
+    <task_max_lifetime>604800</task_max_lifetime>
+
+    <!-- クリーンアップの実行間隔を制御します（秒単位） -->
+    <cleanup_delay_period>60</cleanup_delay_period>
+
+    <!-- キューに保持できるタスク数を制御します -->
+    <max_tasks_in_queue>1000</max_tasks_in_queue>
+</distributed_ddl>
+```
+
+
+## distributed_ddl_use_initial_user_and_roles {#distributed_ddl_use_initial_user_and_roles} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />有効にすると、ON CLUSTER クエリはリモート分片での実行時に、クエリを開始したユーザーとロールを引き継いで使用します。これによりクラスタ全体でアクセス制御の一貫性が保たれますが、すべてのノードに同じユーザーとロールが存在している必要があります。
+
+## dns_allow_resolve_names_to_ipv4 {#dns_allow_resolve_names_to_ipv4} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />ホスト名を IPv4 アドレスへ名前解決することを許可します。
+
+## dns_allow_resolve_names_to_ipv6 {#dns_allow_resolve_names_to_ipv6} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />ホスト名を IPv6 アドレスに解決できるようにします。
+
+## dns_cache_max_entries {#dns_cache_max_entries} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />内部 DNS キャッシュのエントリの最大数。
+
+## dns_cache_update_period {#dns_cache_update_period} 
+
+<SettingsInfoBlock type="Int32" default_value="15" />内部 DNS キャッシュを更新する間隔（秒）。
+
+## dns_max_consecutive_failures {#dns_max_consecutive_failures} 
+
+<SettingsInfoBlock type="UInt32" default_value="10" />ClickHouse の DNS キャッシュからホスト名を削除する前に許容される、そのホスト名の DNS 解決失敗の連続発生の最大回数。
+
+## drop_distributed_cache_pool_size {#drop_distributed_cache_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="8" />分散キャッシュを削除する際に使用されるスレッドプールのサイズ。
+
+## drop_distributed_cache_queue_size {#drop_distributed_cache_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />分散キャッシュをドロップする際に使用されるスレッドプールのキューサイズ。
+
+## enable_azure_sdk_logging {#enable_azure_sdk_logging} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />Azure SDK によるログ出力を有効にします
+
+## encryption {#encryption}
+
+[encryption codecs](/sql-reference/statements/create/table#encryption-codecs) で使用されるキーを取得するコマンドを設定します。キー（または複数のキー）は、環境変数に書き込むか、設定ファイル内で設定する必要があります。
+
+キーは、16 バイト長の 16 進数または文字列である必要があります。
+
+**例**
+
+設定ファイルから読み込む:
+
+```xml
+<encryption_codecs>
+    <aes_128_gcm_siv>
+        <key>1234567812345678</key>
+    </aes_128_gcm_siv>
+</encryption_codecs>
+```
+
+:::note
+キーを設定ファイルに保存することは推奨されません。安全ではありません。安全なディスク上の別の設定ファイルにキーを移動し、その設定ファイルへのシンボリックリンクを `config.d/` フォルダに配置できます。
+:::
+
+キーが 16 進数表記の場合の、設定ファイルからの読み込み:
+
+```xml
+<encryption_codecs>
+    <aes_128_gcm_siv>
+        <key_hex>00112233445566778899aabbccddeeff</key_hex>
+    </aes_128_gcm_siv>
+</encryption_codecs>
+```
+
+環境変数からキーを読み込む:
+
+```xml
+<encryption_codecs>
+    <aes_128_gcm_siv>
+        <key_hex from_env="ENVVAR"></key_hex>
+    </aes_128_gcm_siv>
+</encryption_codecs>
+```
+
+ここで `current_key_id` は暗号化に使用する現在のキーを指定し、指定したすべてのキーを復号に使用できます。
+
+これらの各手法は、複数のキーに対して適用できます。
+
+```xml
+<encryption_codecs>
+    <aes_128_gcm_siv>
+        <key_hex id="0">00112233445566778899aabbccddeeff</key_hex>
+        <key_hex id="1" from_env="ENVVAR"></key_hex>
+        <current_key_id>1</current_key_id>
+    </aes_128_gcm_siv>
+</encryption_codecs>
+```
+
+ここで `current_key_id` は、暗号化に使用されている現在のキーを示します。
+
+また、ユーザーは長さが 12 バイトでなければならないノンスを追加することもできます（デフォルトでは、暗号化および復号処理はゼロバイトのみで構成されたノンスを使用します）:
+
+```xml
+<encryption_codecs>
+    <aes_128_gcm_siv>
+        <nonce>012345678910</nonce>
+    </aes_128_gcm_siv>
+</encryption_codecs>
+```
+
+または16進数で指定することもできます：
+
+```xml
+<encryption_codecs>
+    <aes_128_gcm_siv>
+        <nonce_hex>abcdefabcdef</nonce_hex>
+    </aes_128_gcm_siv>
+</encryption_codecs>
+```
+
+:::note
+上記の内容はすべて `aes_256_gcm_siv` にも適用できます（ただし、キーは32バイト長である必要があります）。
+:::
+
+
+## error&#95;log {#error_log}
+
+デフォルトでは無効になっています。
+
+**有効化**
+
+エラー履歴の収集 [`system.error_log`](../../operations/system-tables/error_log.md) を手動で有効化するには、次の内容で `/etc/clickhouse-server/config.d/error_log.xml` を作成します。
+
+```xml
+<clickhouse>
+    <error_log>
+        <database>system</database>
+        <table>error_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <collect_interval_milliseconds>1000</collect_interval_milliseconds>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+    </error_log>
+</clickhouse>
+```
+
+**無効化**
+
+`error_log` 設定を無効化するには、次の内容で `/etc/clickhouse-server/config.d/disable_error_log.xml` ファイルを作成します。
+
+```xml
+<clickhouse>
+    <error_log remove="1" />
+</clickhouse>
+```
+
+<SystemLogParameters />
+
+
+## format_parsing_thread_pool_queue_size {#format_parsing_thread_pool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+入力のパースに使用されるスレッドプールにスケジュールできるジョブ数の上限。
+
+:::note
+`0` の値は無制限を意味します。
+:::
+
+## format&#95;schema&#95;path {#format_schema_path}
+
+入力データ用のスキーマが含まれるディレクトリへのパスです。たとえば、[CapnProto](/interfaces/formats/CapnProto) 形式のスキーマなどです。
+
+**例**
+
+```xml
+<!-- 各種入力フォーマットのスキーマファイルを格納するディレクトリ。 -->
+<format_schema_path>format_schemas/</format_schema_path>
+```
+
+
+## global_profiler_cpu_time_period_ns {#global_profiler_cpu_time_period_ns} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000000000" />グローバルプロファイラにおけるCPUクロックタイマーの周期（ナノ秒単位）。グローバルCPUクロックプロファイラを無効にするには、値を 0 に設定します。単一クエリのプロファイリングには少なくとも 10000000（1秒あたり100回）、クラスター全体のプロファイリングには 1000000000（1秒あたり1回）以上の値を推奨します。
+
+## global_profiler_real_time_period_ns {#global_profiler_real_time_period_ns} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000000000" />グローバルプロファイラの実時間クロックタイマーの周期（ナノ秒単位）。実時間クロックを用いるグローバルプロファイラを無効にするには 0 を設定します。推奨値は、単一クエリの場合は少なくとも 10000000（1 秒間に 100 回）、クラスタ全体のプロファイリングの場合は 1000000000（1 秒に 1 回）です。
+
+## google&#95;protos&#95;path {#google_protos_path}
+
+Protobuf 型の proto ファイルが格納されているディレクトリを指定します。
+
+例:
+
+```xml
+<google_protos_path>/usr/share/clickhouse/protos/</google_protos_path>
+```
+
+
+## graphite {#graphite}
+
+[Graphite](https://github.com/graphite-project) にデータを送信します。
+
+設定:
+
+* `host` – Graphite サーバー。
+* `port` – Graphite サーバー上のポート。
+* `interval` – 送信間隔（秒）。
+* `timeout` – データ送信のタイムアウト（秒）。
+* `root_path` – キーのプレフィックス。
+* `metrics` – [system.metrics](/operations/system-tables/metrics) テーブルのデータを送信。
+* `events` – [system.events](/operations/system-tables/events) テーブルから、指定期間に蓄積された差分データを送信。
+* `events_cumulative` – [system.events](/operations/system-tables/events) テーブルの累積データを送信。
+* `asynchronous_metrics` – [system.asynchronous&#95;metrics](/operations/system-tables/asynchronous_metrics) テーブルのデータを送信。
+
+複数の `<graphite>` 句を設定できます。たとえば、異なる種類のデータを異なる間隔で送信するために利用できます。
+
+**例**
+
+```xml
+<graphite>
+    <host>localhost</host>
+    <port>42000</port>
+    <timeout>0.1</timeout>
+    <interval>60</interval>
+    <root_path>one_min</root_path>
+    <metrics>true</metrics>
+    <events>true</events>
+    <events_cumulative>false</events_cumulative>
+    <asynchronous_metrics>true</asynchronous_metrics>
+</graphite>
+```
+
+
+## graphite&#95;rollup {#graphite_rollup}
+
+Graphite 向けのデータ間引き設定です。
+
+詳細については、[GraphiteMergeTree](../../engines/table-engines/mergetree-family/graphitemergetree.md) を参照してください。
+
+**例**
+
+```xml
+<graphite_rollup_example>
+    <default>
+        <function>max</function>
+        <retention>
+            <age>0</age>
+            <precision>60</precision>
+        </retention>
+        <retention>
+            <age>3600</age>
+            <precision>300</precision>
+        </retention>
+        <retention>
+            <age>86400</age>
+            <precision>3600</precision>
+        </retention>
+    </default>
+</graphite_rollup_example>
+```
+
+
+## hsts&#95;max&#95;age {#hsts_max_age}
+
+HSTS の有効期限（秒単位）。
+
+:::note
+値が `0` の場合、ClickHouse は HSTS を無効にします。正の値を設定すると HSTS が有効になり、その値が max-age として使用されます。
+:::
+
+**例**
+
+```xml
+<hsts_max_age>600000</hsts_max_age>
+```
+
+
+## http_connections_hard_limit {#http_connections_hard_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />この制限に達している状態で新規作成を試みると、例外がスローされます。ハード制限を無効にするには 0 に設定します。この制限は、いずれのディスクやストレージにも属さない HTTP 接続に適用されます。
+
+## http_connections_soft_limit {#http_connections_soft_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />この上限を超えた接続の有効期間は、大幅に短くなります。この制限は、いずれのディスクやストレージにも属さない HTTP 接続に適用されます。
+
+## http_connections_store_limit {#http_connections_store_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />この制限を超えた接続は、使用後にリセットされます。接続キャッシュを無効にするには 0 に設定します。この制限は、どのディスクやストレージにも属さない HTTP 接続に適用されます。
+
+## http_connections_warn_limit {#http_connections_warn_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="500" />使用中の接続の数がこの制限を超えた場合、警告メッセージがログに書き込まれます。この制限は、いずれのディスクやストレージにも属さない HTTP 接続に適用されます。
+
+## http&#95;handlers {#http_handlers}
+
+カスタム HTTP ハンドラーを定義して使用できるようにします。
+新しい HTTP ハンドラーを追加するには、新しい `<rule>` を追加するだけです。
+ルールは定義された順に上から下へチェックされ、
+最初にマッチしたもののハンドラーが実行されます。
+
+以下の設定はサブタグで設定できます:
+
+| Sub-tags             | Definition                                                                                    |
+| -------------------- | --------------------------------------------------------------------------------------------- |
+| `url`                | リクエスト URL をマッチさせるために使用します。`regex:` プレフィックスを付けると、正規表現でのマッチが可能です (任意)                           |
+| `methods`            | リクエストメソッドをマッチさせるために使用します。カンマ区切りで複数のメソッドを指定できます (任意)                                           |
+| `headers`            | リクエストヘッダーをマッチさせるために使用します。各子要素 (子要素名がヘッダー名) をマッチさせます。`regex:` プレフィックスを付けると、正規表現でのマッチが可能です (任意) |
+| `handler`            | リクエストハンドラー                                                                                    |
+| `empty_query_string` | URL にクエリ文字列が存在しないことをチェックします                                                                   |
+
+`handler` には以下の設定が含まれ、サブタグで設定できます:
+
+| Sub-tags           | Definition                                                                                                            |
+| ------------------ | --------------------------------------------------------------------------------------------------------------------- |
+| `url`              | リダイレクト先の URL                                                                                                          |
+| `type`             | サポートされるタイプ: static, dynamic&#95;query&#95;handler, predefined&#95;query&#95;handler, redirect                         |
+| `status`           | static タイプで使用します。レスポンスのステータスコード                                                                                       |
+| `query_param_name` | dynamic&#95;query&#95;handler タイプで使用します。HTTP リクエストパラメータ内で `<query_param_name>` に対応する値を取り出して実行します                      |
+| `query`            | predefined&#95;query&#95;handler タイプで使用します。ハンドラーが呼び出されたときにクエリを実行します                                                   |
+| `content_type`     | static タイプで使用します。レスポンスの Content-Type                                                                                  |
+| `response_content` | static タイプで使用します。クライアントに送信されるレスポンスコンテンツです。`file://` または `config://` のプレフィックスを使用した場合、ファイルまたは設定からコンテンツを取得してクライアントに送信します |
+
+ルールの一覧に加えて、すべてのデフォルトハンドラーを有効にする `<defaults/>` を指定できます。
+
+Example:
+
+```xml
+<http_handlers>
+    <rule>
+        <url>/</url>
+        <methods>POST,GET</methods>
+        <headers><pragma>no-cache</pragma></headers>
+        <handler>
+            <type>dynamic_query_handler</type>
+            <query_param_name>query</query_param_name>
+        </handler>
+    </rule>
+
+    <rule>
+        <url>/predefined_query</url>
+        <methods>POST,GET</methods>
+        <handler>
+            <type>predefined_query_handler</type>
+            <query>SELECT * FROM system.settings</query>
+        </handler>
+    </rule>
+
+    <rule>
+        <handler>
+            <type>static</type>
+            <status>200</status>
+            <content_type>text/plain; charset=UTF-8</content_type>
+            <response_content>config://http_server_default_response</response_content>
+        </handler>
+    </rule>
+</http_handlers>
+```
+
+
+## http&#95;options&#95;response {#http_options_response}
+
+`OPTIONS` HTTP リクエストのレスポンスヘッダーを追加するために使用します。
+`OPTIONS` メソッドは、CORS プリフライトリクエストを行う際に使用されます。
+
+詳細は [OPTIONS](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/OPTIONS) を参照してください。
+
+例:
+
+```xml
+<http_options_response>
+     <header>
+            <name>Access-Control-Allow-Origin</name>
+            <value>*</value>
+     </header>
+     <header>
+          <name>Access-Control-Allow-Headers</name>
+          <value>origin, x-requested-with, x-clickhouse-format, x-clickhouse-user, x-clickhouse-key, Authorization</value>
+     </header>
+     <header>
+          <name>Access-Control-Allow-Methods</name>
+          <value>POST, GET, OPTIONS</value>
+     </header>
+     <header>
+          <name>Access-Control-Max-Age</name>
+          <value>86400</value>
+     </header>
+</http_options_response>
+```
+
+
+## http&#95;server&#95;default&#95;response {#http_server_default_response}
+
+ClickHouse の HTTP(S) サーバーにアクセスしたときに、デフォルトで表示されるページです。
+デフォルト値は「Ok.」（末尾に改行付き）です。
+
+**例**
+
+`http://localhost:http_port` にアクセスしたときに `https://tabix.io/` を開きます。
+
+```xml
+<http_server_default_response>
+  <![CDATA[<html ng-app="SMI2"><head><base href="http://ui.tabix.io/"></head><body><div ui-view="" class="content-ui"></div><script src="http://loader.tabix.io/master.js"></script></body></html>]]>
+</http_server_default_response>
+```
+
+
+## iceberg_catalog_threadpool_pool_size {#iceberg_catalog_threadpool_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="50" />Iceberg カタログのバックグラウンドプールのサイズ
+
+## iceberg_catalog_threadpool_queue_size {#iceberg_catalog_threadpool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />Iceberg カタログプールにキューイング可能なタスク数
+
+## iceberg_metadata_files_cache_max_entries {#iceberg_metadata_files_cache_max_entries} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />Iceberg メタデータファイルキャッシュの最大エントリ数。0 を指定すると無効になります。
+
+## iceberg_metadata_files_cache_policy {#iceberg_metadata_files_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />Iceberg のメタデータファイルキャッシュポリシー名。
+
+## iceberg_metadata_files_cache_size {#iceberg_metadata_files_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />Iceberg メタデータキャッシュの最大サイズ（バイト単位）。0 を指定すると無効になります。
+
+## iceberg_metadata_files_cache_size_ratio {#iceberg_metadata_files_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />iceberg メタデータキャッシュにおいて、キャッシュ全体サイズに対する（SLRU ポリシー使用時の）保護キューサイズの割合。
+
+## ignore_empty_sql_security_in_create_view_query {#ignore_empty_sql_security_in_create_view_query} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+true の場合、ClickHouse は `CREATE VIEW` クエリで空の SQL security ステートメントに対して既定値を保存しません。
+
+:::note
+この設定は移行期間中にのみ必要であり、バージョン 24.4 では不要になります。
+:::
+
+## include&#95;from {#include_from}
+
+置換定義が記述されたファイルへのパスです。XML と YAML の両方の形式がサポートされています。
+
+詳細については、「[設定ファイル](/operations/configuration-files)」のセクションを参照してください。
+
+**例**
+
+```xml
+<include_from>/etc/metrica.xml</include_from>
+```
+
+
+## index_mark_cache_policy {#index_mark_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />セカンダリ索引マークキャッシュのポリシー名。
+
+## index_mark_cache_size {#index_mark_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="5368709120" />
+
+インデックスマークキャッシュの最大サイズ。
+
+:::note
+
+`0` を指定すると無効になります。
+
+この設定は実行時に変更でき、直ちに反映されます。
+:::
+
+## index_mark_cache_size_ratio {#index_mark_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.3" />セカンダリ索引マークキャッシュにおける保護キュー（SLRU ポリシーの場合）のサイズを、キャッシュ全体のサイズに対する比率として指定します。
+
+## index_uncompressed_cache_policy {#index_uncompressed_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />セカンダリ索引用の非圧縮キャッシュポリシー名。
+
+## index_uncompressed_cache_size {#index_uncompressed_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+非圧縮の `MergeTree` 索引ブロックキャッシュの最大サイズ。
+
+:::note
+`0` を指定するとキャッシュは無効になります。
+
+この設定は実行時に変更でき、直ちに反映されます。
+:::
+
+## index_uncompressed_cache_size_ratio {#index_uncompressed_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />セカンダリ索引の非圧縮キャッシュにおいて、保護キュー（SLRU ポリシーの場合）のサイズがキャッシュ全体サイズに対して占める比率を表します。
+
+## interserver&#95;http&#95;credentials {#interserver_http_credentials}
+
+[レプリケーション](../../engines/table-engines/mergetree-family/replication.md)時に他のサーバーへ接続するために使用されるユーザー名とパスワードです。加えて、サーバーはこれらの認証情報を使って他のレプリカを認証します。
+したがって、`interserver_http_credentials` はクラスター内のすべてのレプリカで同一である必要があります。
+
+:::note
+
+* 既定では、`interserver_http_credentials` セクションが省略された場合、レプリケーション時に認証は使用されません。
+* `interserver_http_credentials` の設定は、ClickHouse クライアント認証情報の[設定](../../interfaces/cli.md#configuration_files)とは関係ありません。
+* これらの認証情報は、`HTTP` および `HTTPS` を介したレプリケーションに共通です。
+  :::
+
+次の設定はサブタグで構成できます:
+
+* `user` — ユーザー名。
+* `password` — パスワード。
+* `allow_empty` — `true` の場合、認証情報が設定されていても、他のレプリカが認証なしで接続することを許可します。`false` の場合、認証なしの接続は拒否されます。既定値: `false`。
+* `old` — 認証情報ローテーション時に使用される、古い `user` と `password` を保持します。複数の `old` セクションを指定できます。
+
+**認証情報のローテーション**
+
+ClickHouse は、すべてのレプリカを同時に停止して設定を更新することなく、インターサーバー認証情報の動的なローテーションをサポートします。認証情報は複数の手順で変更できます。
+
+認証を有効にするには、`interserver_http_credentials.allow_empty` を `true` に設定し、認証情報を追加します。これにより、認証の有無にかかわらず接続を許可できます。
+
+```xml
+<interserver_http_credentials>
+    <user>admin</user>
+    <password>111</password>
+    <allow_empty>true</allow_empty>
+</interserver_http_credentials>
+```
+
+すべてのレプリカの構成が完了したら、`allow_empty` を `false` に設定するか、この SETTING を削除します。これにより、新しい認証情報の指定が必須になります。
+
+既存の認証情報を変更するには、ユーザー名とパスワードを `interserver_http_credentials.old` セクションに移動し、`user` と `password` を新しい値に更新します。この時点では、サーバーは他のレプリカに接続する際に新しい認証情報を使用し、新旧どちらの認証情報での接続も受け付けます。
+
+```xml
+<interserver_http_credentials>
+    <user>admin</user>
+    <password>222</password>
+    <old>
+        <user>admin</user>
+        <password>111</password>
+    </old>
+    <old>
+        <user>temp</user>
+        <password>000</password>
+    </old>
+</interserver_http_credentials>
+```
+
+新しい認証情報がすべてのレプリカに適用されたら、古い認証情報は削除できます。
+
+
+## interserver&#95;http&#95;host {#interserver_http_host}
+
+他のサーバーがこのサーバーにアクセスするために使用できるホスト名です。
+
+省略した場合は、`hostname -f` コマンドと同じ方法で決定されます。
+
+特定のネットワークインターフェイスに依存したくない場合に便利です。
+
+**例**
+
+```xml
+<interserver_http_host>example.clickhouse.com</interserver_http_host>
+```
+
+
+## interserver&#95;http&#95;port {#interserver_http_port}
+
+ClickHouse サーバー間でデータをやり取りするためのポート。
+
+**例**
+
+```xml
+<interserver_http_port>9009</interserver_http_port>
+```
+
+
+## interserver&#95;https&#95;host {#interserver_https_host}
+
+[`interserver_http_host`](#interserver_http_host) と類似していますが、このホスト名は他のサーバーから `HTTPS` 経由でこのサーバーにアクセスするために使用されます。
+
+**例**
+
+```xml
+<interserver_https_host>example.clickhouse.com</interserver_https_host>
+```
+
+
+## interserver&#95;https&#95;port {#interserver_https_port}
+
+`HTTPS` 経由で ClickHouse サーバー間のデータ交換に使用するポート。
+
+**例**
+
+```xml
+<interserver_https_port>9010</interserver_https_port>
+```
+
+
+## interserver&#95;listen&#95;host {#interserver_listen_host}
+
+ClickHouse サーバー間でデータを交換できるホストを制限します。
+Keeper を使用している場合は、異なる Keeper インスタンス間の通信にも同じ制限が適用されます。
+
+:::note
+デフォルトでは、この値は [`listen_host`](#listen_host) 設定と同じです。
+:::
+
+**例**
+
+```xml
+<interserver_listen_host>::ffff:a00:1</interserver_listen_host>
+<interserver_listen_host>10.0.0.1</interserver_listen_host>
+```
+
+型:
+
+デフォルト:
+
+
+## io_thread_pool_queue_size {#io_thread_pool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+I/O スレッドプールにスケジュールできるジョブの最大数。
+
+:::note
+値が `0` の場合は無制限を意味します。
+:::
+
+## jemalloc_collect_global_profile_samples_in_trace_log {#jemalloc_collect_global_profile_samples_in_trace_log} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />jemalloc がサンプリングしたメモリアロケーションを system.trace_log に保存します
+
+## jemalloc_enable_background_threads {#jemalloc_enable_background_threads} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />jemalloc のバックグラウンドスレッド機能を有効にします。jemalloc はバックグラウンドスレッドを使用して未使用のメモリページを解放します。これを無効にするとパフォーマンスの低下を招く可能性があります。
+
+## jemalloc_enable_global_profiler {#jemalloc_enable_global_profiler} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />すべてのスレッドに対して jemalloc のアロケーションプロファイラを有効にします。jemalloc は割り当てと、サンプリング対象となった割り当てに対するすべての解放をサンプリングします。
+プロファイルは、SYSTEM JEMALLOC FLUSH PROFILE を使用してフラッシュでき、アロケーション分析に利用できます。
+サンプルは、設定項目 jemalloc_collect_global_profile_samples_in_trace_log を使用して system.trace_log に保存することもでき、あるいはクエリ設定 jemalloc_collect_profile_samples_in_trace_log を使用して保存することもできます。
+[Allocation Profiling](/operations/allocation-profiling) を参照してください。
+
+## jemalloc_flush_profile_interval_bytes {#jemalloc_flush_profile_interval_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />jemalloc によるグローバルなピークメモリ使用量が jemalloc_flush_profile_interval_bytes だけ増加すると、jemalloc プロファイルがフラッシュされます
+
+## jemalloc_flush_profile_on_memory_exceeded {#jemalloc_flush_profile_on_memory_exceeded} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />総メモリ超過エラー発生時に jemalloc プロファイルをフラッシュします
+
+## jemalloc_max_background_threads_num {#jemalloc_max_background_threads_num} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />作成する jemalloc のバックグラウンドスレッドの最大数。0 に設定すると jemalloc のデフォルト値が使用されます。
+
+## keep&#95;alive&#95;timeout {#keep_alive_timeout}
+
+<SettingsInfoBlock type="Seconds" default_value="30" />
+
+HTTP プロトコルで新しいリクエストを待機する最大秒数。この秒数を経過すると、ClickHouse は接続を閉じます。
+
+**例**
+
+```xml
+<keep_alive_timeout>10</keep_alive_timeout>
+```
+
+
+## keeper_hosts {#keeper_hosts} 
+
+動的な設定です。ClickHouse が接続できる可能性のある [Zoo]Keeper ホストの集合を含みます。`<auxiliary_zookeepers>` の情報は公開されません。
+
+## keeper_multiread_batch_size {#keeper_multiread_batch_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+バッチ処理をサポートしている [Zoo]Keeper への MultiRead リクエストにおけるバッチの最大サイズです。0 に設定すると、バッチ処理は無効になります。ClickHouse Cloud でのみ利用可能です。
+
+## ldap_servers {#ldap_servers} 
+
+ここには、LDAP サーバーとその接続パラメータを列挙します。用途は次のとおりです。
+
+- `password` の代わりに `ldap` 認証メカニズムが指定されている専用ローカルユーザーの認証器として利用する
+- リモートユーザーディレクトリとして利用する
+
+以下の設定はサブタグで構成できます:
+
+| Setting                        | Description                                                                                                                                                                                                                                                                                                                                                                                                                              |
+|--------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `host`                         | LDAP サーバーのホスト名または IP。必須パラメータであり、空にはできません。                                                                                                                                                                                                                                                                                                                                                             |
+| `port`                         | LDAP サーバーのポート。`enable_tls` が true に設定されている場合のデフォルトは 636、それ以外の場合は `389` です。                                                                                                                                                                                                                                                                                                                        |
+| `bind_dn`                      | バインドに使用する DN を構成するためのテンプレート。最終的な DN は、各認証試行時にこのテンプレート内のすべての `\{user_name\}` 部分文字列を実際のユーザー名に置き換えることで構成されます。                                                                                                                                                                                                                               |
+| `user_dn_detection`            | バインドされたユーザーの実際のユーザー DN を検出するための LDAP 検索パラメータを指定するセクションです。これは主に、サーバーが Active Directory の場合に、後続のロールマッピングのための検索フィルタで使用されます。結果として得られるユーザー DN は、許可されている箇所での `\{user_dn\}` 部分文字列の置き換えに使用されます。デフォルトではユーザー DN は bind DN と同一に設定されますが、一度検索が実行されると、実際に検出されたユーザー DN の値で更新されます。 |
+| `verification_cooldown`        | バインドが成功した後、指定された秒数の間、そのユーザーについては LDAP サーバーへ問い合わせを行わず、すべての連続するリクエストに対して認証済みとみなす期間です。`0`（デフォルト）を指定するとキャッシュが無効化され、各認証リクエストごとに LDAP サーバーへ問い合わせを行います。                                                                                                                  |
+| `enable_tls`                   | LDAP サーバーへのセキュアな接続を使用するかどうかを制御するフラグです。プレーンテキストのプロトコル（`ldap://`、非推奨）を使用するには `no` を指定します。SSL/TLS 上の LDAP（`ldaps://`、推奨、デフォルト）を使用するには `yes` を指定します。レガシーな StartTLS プロトコル（プレーンテキストの `ldap://` プロトコルを TLS にアップグレードする方式）を使用するには `starttls` を指定します。                                                                                                               |
+| `tls_minimum_protocol_version` | SSL/TLS の最小プロトコルバージョン。指定可能な値は: `ssl2`, `ssl3`, `tls1.0`, `tls1.1`, `tls1.2`（デフォルト）です。                                                                                                                                                                                                                                                                                                                |
+| `tls_require_cert`             | SSL/TLS ピア証明書の検証動作。指定可能な値は: `never`, `allow`, `try`, `demand`（デフォルト）です。                                                                                                                                                                                                                                                                                                                    |
+| `tls_cert_file`                | 証明書ファイルへのパス。                                                                                                                                                                                                                                                                                                                                                                                                                |
+| `tls_key_file`                 | 証明書キーファイルへのパス。                                                                                                                                                                                                                                                                                                                                                                                                            |
+| `tls_ca_cert_file`             | CA 証明書ファイルへのパス。                                                                                                                                                                                                                                                                                                                                                                                                             |
+| `tls_ca_cert_dir`              | CA 証明書を含むディレクトリへのパス。                                                                                                                                                                                                                                                                                                                                                                                        |
+| `tls_cipher_suite`             | 許可される暗号スイート（OpenSSL 表記）。                                                                                                                                                                                                                                                                                                                                                                                              |
+
+`user_dn_detection` はサブタグで構成できます:
+
+| Setting         | Description                                                                                                                                                                                                                                                                                                                                    |
+|-----------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `base_dn`       | LDAP 検索のベース DN を構成するためのテンプレート。最終的な DN は、LDAP 検索中にこのテンプレート内のすべての `\{user_name\}` および `\{bind_dn\}` 部分文字列を、実際のユーザー名および bind DN に置き換えることで構成されます。                                                                                                       |
+| `scope`         | LDAP 検索のスコープ。指定可能な値は: `base`, `one_level`, `children`, `subtree`（デフォルト）です。                                                                                                                                                                                                                                       |
+| `search_filter` | LDAP 検索の検索フィルタを構成するためのテンプレート。最終的なフィルタは、LDAP 検索中にこのテンプレート内のすべての `\{user_name\}`、`\{bind_dn\}`、および `\{base_dn\}` 部分文字列を、実際のユーザー名、bind DN、および base DN に置き換えることで構成されます。特殊文字は XML 内で適切にエスケープする必要がある点に注意してください。  |
+
+Example:
+
+```xml
+<my_ldap_server>
+    <host>localhost</host>
+    <port>636</port>
+    <bind_dn>uid={user_name},ou=users,dc=example,dc=com</bind_dn>
+    <verification_cooldown>300</verification_cooldown>
+    <enable_tls>yes</enable_tls>
+    <tls_minimum_protocol_version>tls1.2</tls_minimum_protocol_version>
+    <tls_require_cert>demand</tls_require_cert>
+    <tls_cert_file>/path/to/tls_cert_file</tls_cert_file>
+    <tls_key_file>/path/to/tls_key_file</tls_key_file>
+    <tls_ca_cert_file>/path/to/tls_ca_cert_file</tls_ca_cert_file>
+    <tls_ca_cert_dir>/path/to/tls_ca_cert_dir</tls_ca_cert_dir>
+    <tls_cipher_suite>ECDHE-ECDSA-AES256-GCM-SHA384:ECDHE-RSA-AES256-GCM-SHA384:AES256-GCM-SHA384</tls_cipher_suite>
+</my_ldap_server>
+```
+
+例（後続のロールマッピングのためにユーザー DN 検出を設定した典型的な Active Directory）：
+
+```xml
+<my_ad_server>
+    <host>localhost</host>
+    <port>389</port>
+    <bind_dn>EXAMPLE\{user_name}</bind_dn>
+    <user_dn_detection>
+        <base_dn>CN=Users,DC=example,DC=com</base_dn>
+        <search_filter>(&amp;(objectClass=user)(sAMAccountName={user_name}))</search_filter>
+    </user_dn_detection>
+    <enable_tls>no</enable_tls>
+</my_ad_server>
+```
+
+
+## license_key {#license_key} 
+
+ClickHouse Enterprise Edition のライセンスキー
+
+## listen&#95;backlog {#listen_backlog}
+
+listen ソケットの backlog（保留中接続のキューサイズ）。デフォルト値の `4096` は Linux [5.4+](https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=19f92a030ca6d772ab44b22ee6a01378a8cb32d4)) のデフォルト値と同じです。
+
+通常、この値を変更する必要はありません。理由は次のとおりです。
+
+* デフォルト値が十分に大きいこと
+* クライアント接続を accept するためにサーバー側に専用スレッドがあること
+
+そのため、たとえ `TcpExtListenOverflows`（`nstat` から取得）がゼロ以外で、このカウンタが ClickHouse サーバーで増加していたとしても、この値を増やす必要があるとは限りません。理由は次のとおりです。
+
+* 通常、`4096` で足りない場合は、ClickHouse 内部のスケーリングに何らかの問題があることを示しているため、問題として報告する方が望ましいです。
+* それはサーバーがその後、より多くの接続を処理できることを意味しません（仮に処理できたとしても、その時点ではクライアントはすでにいなくなっている、または切断されている可能性があります）。
+
+**例**
+
+```xml
+<listen_backlog>4096</listen_backlog>
+```
+
+
+## listen&#95;host {#listen_host}
+
+リクエストを受け付ける送信元ホストを制限します。サーバーがすべてのホストからのリクエストに応答するようにするには、`::` を指定します。
+
+例:
+
+```xml
+<listen_host>::1</listen_host>
+<listen_host>127.0.0.1</listen_host>
+```
+
+
+## listen&#95;reuse&#95;port {#listen_reuse_port}
+
+複数のサーバーが同一のアドレスとポートで待ち受けできるようにします。リクエストはオペレーティングシステムによってランダムなサーバーへルーティングされます。この設定を有効にすることは推奨されていません。
+
+**例**
+
+```xml
+<listen_reuse_port>0</listen_reuse_port>
+```
+
+タイプ:
+
+デフォルト:
+
+
+## listen&#95;try {#listen_try}
+
+サーバーは、リッスンを開始しようとした際に IPv6 または IPv4 ネットワークが利用できない場合でも、終了しません。
+
+**例**
+
+```xml
+<listen_try>0</listen_try>
+```
+
+
+## load_marks_threadpool_pool_size {#load_marks_threadpool_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="50" />マーク読み込み用バックグラウンドスレッドプールのサイズ
+
+## load_marks_threadpool_queue_size {#load_marks_threadpool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />プリフェッチ用プールに投入可能なタスク数の上限
+
+## logger {#logger} 
+
+ログメッセージの出力先とフォーマットを指定します。
+
+**キー**:
+
+| Key                    | Description                                                                                                                                                        |
+|------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `level`                | ログレベル。指定可能な値: `none` (ログ出力を無効化)、`fatal`, `critical`, `error`, `warning`, `notice`, `information`,`debug`, `trace`, `test`                     |
+| `log`                  | ログファイルへのパス。                                                                                                                                             |
+| `errorlog`             | エラーログファイルへのパス。                                                                                                                                       |
+| `size`                 | ローテーションポリシー: ログファイルの最大サイズ (バイト数)。ログファイルサイズがこの閾値を超えると、リネームおよびアーカイブされ、新しいログファイルが作成されます。 |
+| `count`                | ローテーションポリシー: 履歴として保持するログファイルの最大個数。                                                                                                 |
+| `stream_compress`      | LZ4 を使用してログメッセージを圧縮します。有効にするには `1` または `true` を設定します。                                                                          |
+| `console`              | コンソールへのログ出力を有効にします。有効にするには `1` または `true` を設定します。ClickHouse がデーモンモードで動作していない場合のデフォルトは `1`、それ以外は `0` です。 |
+| `console_log_level`    | コンソール出力用のログレベル。デフォルトは `level` の値です。                                                                                                      |
+| `formatting.type`      | コンソール出力のログフォーマット。現在は `json` のみがサポートされています。                                                                                       |
+| `use_syslog`           | syslog にもログ出力を転送します。                                                                                                                                  |
+| `syslog_level`         | syslog へのログ出力で使用するログレベル。                                                                                                                          |
+| `async`                | `true` (デフォルト) の場合、ログ出力は非同期で行われます (出力チャネルごとにバックグラウンドスレッド 1 本)。`false` の場合は LOG を呼び出したスレッド内で出力されます。 |
+| `async_queue_max_size` | 非同期ログ出力時に、フラッシュ待ちキューに保持されるメッセージの最大数。この上限を超えたメッセージは破棄されます。                                                 |
+| `startup_level`        | サーバー起動時にルートロガーのレベルを設定するために使用するログレベル。起動後はログレベルが `level` の設定値に戻されます。                                        |
+| `shutdown_level`       | サーバーのシャットダウン時にルートロガーのレベルを設定するために使用するログレベル。                                                                               |
+
+**ログフォーマット指定子**
+
+`log` と `errorLog` のパスに含まれるファイル名部分では、以下のフォーマット指定子を使用して実際のファイル名を生成できます (ディレクトリ部分では使用できません)。
+
+「Example」カラムは、`2023-07-06 18:32:07` 時点での出力例を示します。
+
+| 指定子  | 説明                                                                                                                      | 例                          |
+| ---- | ----------------------------------------------------------------------------------------------------------------------- | -------------------------- |
+| `%%` | リテラルの %                                                                                                                 | `%`                        |
+| `%n` | 改行文字                                                                                                                    |                            |
+| `%t` | 水平タブ文字                                                                                                                  |                            |
+| `%Y` | 年を10進数で表した数値（例: 2017）                                                                                                   | `2023`                     |
+| `%y` | 年の下2桁を10進数で表した値（範囲 [00,99]）                                                                                             | `23`                       |
+| `%C` | 年の最初の2桁を10進数で表した数値（範囲 [00,99]）                                                                                          | `20`                       |
+| `%G` | 4 桁の[ISO 8601 週単位の年](https://en.wikipedia.org/wiki/ISO_8601#Week_dates)、つまり指定した週を含む年を表します。通常は `%V` と組み合わせて使用する場合にのみ有用です | `2023`                     |
+| `%g` | [ISO 8601 の週を基準とした年](https://en.wikipedia.org/wiki/ISO_8601#Week_dates)の下位2桁、すなわち指定された週を含む年を表す2桁の値。                     | `23`                       |
+| `%b` | 省略された月名。例: Oct（ロケールに依存）                                                                                                 | `Jul`                      |
+| `%h` | %b の同義語                                                                                                                 | `Jul`                      |
+| `%B` | 完全な月名。例: October（ロケール依存）                                                                                                | `7月`                       |
+| `%m` | 月を10進数で表す値（範囲 [01,12]）                                                                                                  | `07`                       |
+| `%U` | 年内の週番号（10進数）（日曜日を週の最初の曜日とする）（範囲 [00,53]）                                                                                | `27`                       |
+| `%W` | 年内の週番号（週の開始曜日は月曜日）を10進数で表したもの（範囲 [00,53]）                                                                               | `27`                       |
+| `%V` | ISO 8601 の週番号（範囲 [01,53]）                                                                                               | `27`                       |
+| `%j` | 年内通算日を10進数で表した数値（範囲 [001,366]）                                                                                          | `187`                      |
+| `%d` | 月内の日をゼロ埋めした10進数で表します（範囲 [01,31]）。1桁の場合は先頭に 0 が付きます。                                                                     | `06`                       |
+| `%e` | 月の日付を、左側をスペースで埋めた10進数で表します（範囲 [1,31]）。1桁の場合は前にスペースが入ります。                                                                | `&nbsp; 6`                 |
+| `%a` | 省略された曜日名。例: Fri（ロケールに依存）                                                                                                | `木`                        |
+| `%A` | 曜日名（フルスペル）。例: Friday（ロケールに依存）                                                                                           | `木曜日`                      |
+| `%w` | 日曜日を0とする整数値で表した曜日（範囲 [0-6]）                                                                                             | `4`                        |
+| `%u` | 曜日を表す10進数で、月曜日を1とする（ISO 8601 形式、範囲 [1-7]）                                                                               | `4`                        |
+| `%H` | 24時間制における時を10進数で表現（範囲 [00-23]）                                                                                          | `18`                       |
+| `%I` | 10 進数で表した時（12 時間制、範囲 [01,12]）                                                                                           | `06`                       |
+| `%M` | 分を表す10進数（範囲 [00,59]）                                                                                                    | `32`                       |
+| `%S` | 秒を表す10進数（範囲 [00,60]）                                                                                                    | `07`                       |
+| `%c` | 標準的な日付と時刻の文字列。例: Sun Oct 17 04:41:13 2010（ロケールに依存）                                                                      | `Thu Jul  6 18:32:07 2023` |
+| `%x` | ロケールに応じた日付表記（ロケール依存）                                                                                                    | `2023/07/06`               |
+| `%X` | ローカライズされた時刻表現（例: 18:40:20 や 6:40:20 PM など、ロケールに依存）                                                                      | `18:32:07`                 |
+| `%D` | 短い MM/DD/YY 形式の日付。%m/%d/%y と同等です。                                                                                       | `07/06/23`                 |
+| `%F` | 短い YYYY-MM-DD 形式の日付で、%Y-%m-%d と同等です                                                                                     | `2023-07-06`               |
+| `%r` | ロケールに応じた12時間制の時刻                                                                                                        | `06:32:07 PM`              |
+| `%R` | 「%H:%M」と同等                                                                                                              | `18:32`                    |
+| `%T` | &quot;%H:%M:%S&quot;（ISO 8601 の時刻形式）と同等                                                                                 | `18:32:07`                 |
+| `%p` | ロケールに応じた午前／午後（a.m./p.m.）の表記                                                                                             | `PM`                       |
+| `%z` | ISO 8601 形式の UTC からのオフセット（例: -0430）、またはタイムゾーン情報がない場合は文字を含めません                                                           | `+0800`                    |
+| `%Z` | ロケールに応じたタイムゾーン名または略称。タイムゾーン情報が利用できない場合は何も出力されない                                                                         | `Z AWST `                  |
+
+**例**
+
+```xml
+<logger>
+    <level>trace</level>
+    <log>/var/log/clickhouse-server/clickhouse-server-%F-%T.log</log>
+    <errorlog>/var/log/clickhouse-server/clickhouse-server-%F-%T.err.log</errorlog>
+    <size>1000M</size>
+    <count>10</count>
+    <stream_compress>true</stream_compress>
+</logger>
+```
+
+ログメッセージをコンソールのみに出力するには次のようにします:
+
+```xml
+<logger>
+    <level>information</level>
+    <console>true</console>
+</logger>
+```
+
+**レベルごとのオーバーライド**
+
+個々のログ名ごとにログレベルを上書きできます。たとえば、ロガー「Backup」と「RBAC」のすべてのメッセージ出力を抑制する場合です。
+
+```xml
+<logger>
+    <levels>
+        <logger>
+            <name>Backup</name>
+            <level>none</level>
+        </logger>
+        <logger>
+            <name>RBAC</name>
+            <level>none</level>
+        </logger>
+    </levels>
+</logger>
+```
+
+**syslog**
+
+ログメッセージを syslog にも出力するには、次のようにします。
+
+```xml
+<logger>
+    <use_syslog>1</use_syslog>
+    <syslog>
+        <address>syslog.remote:10514</address>
+        <hostname>myhost.local</hostname>
+        <facility>LOG_LOCAL6</facility>
+        <format>syslog</format>
+    </syslog>
+</logger>
+```
+
+`&lt;syslog&gt;` 用のキー:
+
+| Key        | Description                                                                                                                                                                                                                                |
+| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| `address`  | `host\[:port\]` 形式で指定する syslog のアドレス。省略した場合はローカルの syslog デーモンが使用されます。                                                                                                                                                                      |
+| `hostname` | ログを送信するホスト名（省略可能）。                                                                                                                                                                                                                         |
+| `facility` | syslog の [facility keyword](https://en.wikipedia.org/wiki/Syslog#Facility)。必ず大文字で、かつ &quot;LOG&#95;&quot; プレフィックスを付けて指定する必要があります（例: `LOG_USER`, `LOG_DAEMON`, `LOG_LOCAL3` など）。デフォルト: `address` が指定されている場合は `LOG_USER`、それ以外は `LOG_DAEMON`。 |
+| `format`   | ログメッセージの形式。指定可能な値: `bsd` および `syslog.`                                                                                                                                                                                                     |
+
+**Log formats**
+
+コンソールログに出力されるログ形式を指定できます。現在は JSON のみがサポートされています。
+
+**Example**
+
+出力される JSON ログの例を次に示します:
+
+```json
+{
+  "date_time_utc": "2024-11-06T09:06:09Z",
+  "date_time": "1650918987.180175",
+  "thread_name": "#1",
+  "thread_id": "254545",
+  "level": "Trace",
+  "query_id": "",
+  "logger_name": "BaseDaemon",
+  "message": "Received signal 2",
+  "source_file": "../base/daemon/BaseDaemon.cpp; virtual void SignalListener::run()",
+  "source_line": "192"
+}
+```
+
+JSON ログのサポートを有効にするには、次のスニペットを使用します。
+
+```xml
+<logger>
+    <formatting>
+        <type>json</type>
+        <!-- チャネルごと(log、errorlog、console、syslog)に設定することも、全チャネルに対してグローバルに設定すること(その場合は省略)も可能です。 -->
+        <!-- <channel></channel> -->
+        <names>
+            <date_time>date_time</date_time>
+            <thread_name>thread_name</thread_name>
+            <thread_id>thread_id</thread_id>
+            <level>level</level>
+            <query_id>query_id</query_id>
+            <logger_name>logger_name</logger_name>
+            <message>message</message>
+            <source_file>source_file</source_file>
+            <source_line>source_line</source_line>
+        </names>
+    </formatting>
+</logger>
+```
+
+**JSON ログのキー名の変更**
+
+キー名は、`<names>` タグ内のタグ値を変更することで変更できます。たとえば、`DATE_TIME` を `MY_DATE_TIME` に変更するには、`<date_time>MY_DATE_TIME</date_time>` を使用します。
+
+**JSON ログのキーの省略**
+
+ログプロパティは、そのプロパティをコメントアウトすることで省略できます。たとえば、ログに `query_id` を出力しないようにしたい場合は、`<query_id>` タグをコメントアウトします。
+
+
+## macros {#macros}
+
+レプリケートテーブル向けのパラメータ代入です。
+
+レプリケートテーブルを使用しない場合は省略できます。
+
+詳細については、[Creating replicated tables](../../engines/table-engines/mergetree-family/replication.md#creating-replicated-tables) セクションを参照してください。
+
+**例**
+
+```xml
+<macros incl="macros" optional="true" />
+```
+
+
+## mark_cache_policy {#mark_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />マークキャッシュポリシーの名前。
+
+## mark_cache_prewarm_ratio {#mark_cache_prewarm_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.95" />事前ウォームアップ時にプリウォームする mark cache の総サイズに対する割合。
+
+## mark_cache_size {#mark_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="5368709120" />
+
+[`MergeTree`](/engines/table-engines/mergetree-family) ファミリーのテーブルで使用されるマーク（索引）のキャッシュの最大サイズです。
+
+:::note
+この設定は実行時に変更でき、直ちに反映されます。
+:::
+
+## mark_cache_size_ratio {#mark_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />マークキャッシュにおいて、SLRU ポリシー使用時の保護キューのサイズを、キャッシュ全体のサイズに対する比率で指定します。
+
+## max_active_parts_loading_thread_pool_size {#max_active_parts_loading_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="64" />起動時にアクティブなデータパーツ集合をロードするスレッド数。
+
+## max_authentication_methods_per_user {#max_authentication_methods_per_user} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+ユーザーごとに作成または変更できる認証方式の最大数です。
+この設定を変更しても既存のユーザーには影響しません。認証に関連する CREATE/ALTER クエリが、この設定で指定された上限を超えると失敗します。
+認証に関連しない CREATE/ALTER クエリは成功します。
+
+:::note
+値が `0` の場合は無制限を意味します。
+:::
+
+## max_backup_bandwidth_for_server {#max_backup_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />サーバー上のすべてのバックアップに対する、1 秒あたりの最大読み取り帯域幅（バイト数）です。0 を指定すると無制限になります。
+
+## max_backups_io_thread_pool_free_size {#max_backups_io_thread_pool_free_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />Backups IO Thread プール内の**アイドル**スレッド数が `max_backup_io_thread_pool_free_size` を超えた場合、ClickHouse はアイドル状態のスレッドが占有しているリソースを解放し、プールサイズを縮小します。必要に応じて、スレッドは再度作成されます。
+
+## max_backups_io_thread_pool_size {#max_backups_io_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />ClickHouse は Backups IO Thread プール内のスレッドを使用して、S3 バックアップの I/O 操作を実行します。`max_backups_io_thread_pool_size` は、このプール内のスレッド数の上限を設定します。
+
+## max_build_vector_similarity_index_thread_pool_size {#max_build_vector_similarity_index_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16" />
+
+ベクトル索引を構築する際に使用するスレッド数の上限です。
+
+:::note
+`0` を指定すると、すべてのコアが使用されます。
+:::
+
+## max_concurrent_insert_queries {#max_concurrent_insert_queries} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+同時に実行できる挿入クエリの総数の上限。
+
+:::note
+
+値が `0`（デフォルト）の場合は無制限となります。
+
+この設定は実行時に変更でき、即座に反映されます。すでに実行中のクエリには影響しません。
+:::
+
+## max_concurrent_queries {#max_concurrent_queries} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+同時に実行できるクエリの総数の上限です。`INSERT` および `SELECT` クエリに対する上限や、ユーザーのクエリ数の最大値に対する制限も合わせて考慮する必要があります。
+
+関連項目:
+
+- [`max_concurrent_insert_queries`](/operations/server-configuration-parameters/settings#max_concurrent_insert_queries)
+- [`max_concurrent_select_queries`](/operations/server-configuration-parameters/settings#max_concurrent_select_queries)
+- [`max_concurrent_queries_for_all_users`](/operations/settings/settings#max_concurrent_queries_for_all_users)
+
+:::note
+
+`0`（デフォルト）の場合は無制限を意味します。
+
+この設定は実行時に変更でき、即座に反映されます。すでに実行中のクエリには適用されません。
+:::
+
+## max_concurrent_select_queries {#max_concurrent_select_queries} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+同時に実行できる `SELECT` クエリ数の合計の上限。
+
+:::note
+
+`0`（デフォルト）の場合は無制限を意味します。
+
+この設定は実行時に変更でき、即座に反映されます。すでに実行中のクエリには影響しません。
+:::
+
+## max_connections {#max_connections} 
+
+<SettingsInfoBlock type="Int32" default_value="4096" />サーバーの最大接続数。
+
+## max_database_num_to_throw {#max_database_num_to_throw} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />データベース数がこの値を超えると、サーバーは例外を発生させます。0 を指定すると制限なしになります。
+
+## max&#95;database&#95;num&#95;to&#95;warn {#max_database_num_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+アタッチ済みのデータベース数が指定された値を超えた場合、ClickHouse サーバーは警告メッセージを `system.warnings` テーブルに追加します。
+
+**例**
+
+```xml
+<max_database_num_to_warn>50</max_database_num_to_warn>
+```
+
+
+## max_database_replicated_create_table_thread_pool_size {#max_database_replicated_create_table_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt32" default_value="1" />DatabaseReplicated データベースでレプリカのリカバリ中にテーブルを作成するためのスレッド数。0 の場合、スレッド数はコア数と同じになります。
+
+## max&#95;dictionary&#95;num&#95;to&#95;throw {#max_dictionary_num_to_throw}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+Dictionary の数がこの値を超えると、サーバーは例外を送出します。
+
+次のデータベースエンジンを使用するテーブルのみをカウントします:
+
+* Atomic
+* Ordinary
+* Replicated
+* Lazy
+
+:::note
+値が `0` の場合、制限はありません。
+:::
+
+**例**
+
+```xml
+<max_dictionary_num_to_throw>400</max_dictionary_num_to_throw>
+```
+
+
+## max&#95;dictionary&#95;num&#95;to&#95;warn {#max_dictionary_num_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+アタッチされている Dictionary の数が指定した値を超えると、ClickHouse サーバーは `system.warnings` テーブルに警告メッセージを追加します。
+
+**例**
+
+```xml
+<max_dictionary_num_to_warn>400</max_dictionary_num_to_warn>
+```
+
+
+## max_distributed_cache_read_bandwidth_for_server {#max_distributed_cache_read_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />サーバーにおける分散キャッシュからの合計読み取り速度の上限（1 秒あたりのバイト数）。0 は無制限を意味します。
+
+## max_distributed_cache_write_bandwidth_for_server {#max_distributed_cache_write_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />サーバーの分散キャッシュに対する合計書き込み速度の上限を、1 秒あたりのバイト数で指定します。0 は無制限を意味します。
+
+## max_entries_for_hash_table_stats {#max_entries_for_hash_table_stats} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />集約中に収集されるハッシュテーブル統計に含めることができるエントリ数の上限
+
+## max_fetch_partition_thread_pool_size {#max_fetch_partition_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="64" />ALTER TABLE FETCH PARTITION 操作に使用されるスレッド数。
+
+## max_format_parsing_thread_pool_free_size {#max_format_parsing_thread_pool_free_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+入力をパースするためのスレッドプールにおいて、アイドル状態で待機させておくスレッドの最大数。
+
+## max_format_parsing_thread_pool_size {#max_format_parsing_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+入力の解析に使用されるスレッドの合計最大数。
+
+## max_io_thread_pool_free_size {#max_io_thread_pool_free_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+IO スレッドプール内の**アイドル**スレッド数が `max_io_thread_pool_free_size` を超えると、ClickHouse はこれらのスレッドが占有しているリソースを解放し、プールサイズを縮小します。必要に応じて、スレッドは再作成されます。
+
+## max_io_thread_pool_size {#max_io_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+ClickHouse は IO スレッドプール内のスレッドを使用して、S3 とのやり取りなどの一部の IO 処理を実行します。`max_io_thread_pool_size` は、プール内のスレッド数の上限を指定します。
+
+## max&#95;keep&#95;alive&#95;requests {#max_keep_alive_requests}
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+1 つの keep-alive 接続で、ClickHouse サーバーによって接続が閉じられるまでに許可されるリクエストの最大数。
+
+**例**
+
+```xml
+<max_keep_alive_requests>10</max_keep_alive_requests>
+```
+
+
+## max_local_read_bandwidth_for_server {#max_local_read_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+ローカル読み取りの最大速度（バイト/秒）。
+
+:::note
+値が `0` の場合、無制限を意味します。
+:::
+
+## max_local_write_bandwidth_for_server {#max_local_write_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+ローカルへの書き込み速度の上限（1 秒あたりのバイト数）。
+
+:::note
+値が `0` の場合は無制限を意味します。
+:::
+
+## max_materialized_views_count_for_table {#max_materialized_views_count_for_table} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+テーブルに関連付けられる materialized view の数の上限。
+
+:::note
+ここではテーブルに直接依存する view のみが対象であり、ある view を基に別の view を作成する場合は対象外です。
+:::
+
+## max_merges_bandwidth_for_server {#max_merges_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />サーバーで実行されるすべてのマージ処理における最大読み取り速度（1 秒あたりのバイト数）。0 の場合は無制限を意味します。
+
+## max_mutations_bandwidth_for_server {#max_mutations_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />サーバー上のすべての mutation の最大読み取り帯域幅（1 秒あたりのバイト数）。0 の場合は無制限です。
+
+## max&#95;named&#95;collection&#95;num&#95;to&#95;throw {#max_named_collection_num_to_throw}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+名前付きコレクションの数がこの値を超える場合、サーバーは例外をスローします。
+
+:::note
+`0` は、制限がないことを意味します。
+:::
+
+**例**
+
+```xml
+<max_named_collection_num_to_throw>400</max_named_collection_num_to_throw>
+```
+
+
+## max&#95;named&#95;collection&#95;num&#95;to&#95;warn {#max_named_collection_num_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+名前付きコレクションの数が指定された値を超えた場合、ClickHouse server は警告メッセージを `system.warnings` テーブルに追加します。
+
+**例**
+
+```xml
+<max_named_collection_num_to_warn>400</max_named_collection_num_to_warn>
+```
+
+
+## max&#95;open&#95;files {#max_open_files}
+
+最大で開くことのできるファイル数。
+
+:::note
+`getrlimit()` 関数が誤った値を返すため、macOS ではこのオプションの使用を推奨しています。
+:::
+
+**例**
+
+```xml
+<max_open_files>262144</max_open_files>
+```
+
+
+## max_os_cpu_wait_time_ratio_to_drop_connection {#max_os_cpu_wait_time_ratio_to_drop_connection} 
+
+<SettingsInfoBlock type="Float" default_value="0" />
+
+接続を切断するかどうかを判断するために使用される、OS における CPU の待機時間（`OSCPUWaitMicroseconds` メトリクス）とビジー時間（`OSCPUVirtualTimeMicroseconds` メトリクス）の最大比。切断の発生確率の計算には、この比の最小値と最大値の間の線形補間が使用され、この値に達した時点で確率は 1 になります。
+詳細については、[サーバー CPU 高負荷時の動作制御](/operations/settings/server-overload) を参照してください。
+
+## max_outdated_parts_loading_thread_pool_size {#max_outdated_parts_loading_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="32" />起動時に非アクティブなデータパーツ（古いパーツ）の集合を読み込むためのスレッド数。
+
+## max&#95;part&#95;num&#95;to&#95;warn {#max_part_num_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="100000" />
+
+アクティブなパーツの数が指定した値を超えた場合、ClickHouse サーバーは `system.warnings` テーブルに警告メッセージを追加します。
+
+**例**
+
+```xml
+<max_part_num_to_warn>400</max_part_num_to_warn>
+```
+
+
+## max&#95;partition&#95;size&#95;to&#95;drop {#max_partition_size_to_drop}
+
+<SettingsInfoBlock type="UInt64" default_value="50000000000" />
+
+パーティション削除に対する制限です。
+
+[MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) テーブルのサイズが [`max_partition_size_to_drop`](#max_partition_size_to_drop)（バイト単位）を超える場合、[DROP PARTITION](../../sql-reference/statements/alter/partition.md#drop-partitionpart) クエリを使用してパーティションを削除することはできません。
+この設定を適用するために ClickHouse サーバーを再起動する必要はありません。制限を無効化する別の方法として、`<clickhouse-path>/flags/force_drop_table` ファイルを作成する手段もあります。
+
+:::note
+値が `0` の場合、制限なしでパーティションを削除できます。
+
+この制限は DROP TABLE および TRUNCATE TABLE には適用されません。[max&#95;table&#95;size&#95;to&#95;drop](/operations/settings/settings#max_table_size_to_drop) を参照してください。
+:::
+
+**例**
+
+```xml
+<max_partition_size_to_drop>0</max_partition_size_to_drop>
+```
+
+
+## max_parts_cleaning_thread_pool_size {#max_parts_cleaning_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="128" />非アクティブなデータパーツを同時に削除するためのスレッド数。
+
+## max&#95;pending&#95;mutations&#95;execution&#95;time&#95;to&#95;warn {#max_pending_mutations_execution_time_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="86400" />
+
+保留中のミューテーションのいずれかが指定した値（秒）を超えた場合、ClickHouse サーバーは警告メッセージを `system.warnings` テーブルに追加します。
+
+**例**
+
+```xml
+<max_pending_mutations_execution_time_to_warn>10000</max_pending_mutations_execution_time_to_warn>
+```
+
+
+## max&#95;pending&#95;mutations&#95;to&#95;warn {#max_pending_mutations_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="500" />
+
+保留中の mutation の数が指定された値を超えると、ClickHouse サーバーは `system.warnings` テーブルに警告メッセージを追加します。
+
+**例**
+
+```xml
+<max_pending_mutations_to_warn>400</max_pending_mutations_to_warn>
+```
+
+
+## max_prefixes_deserialization_thread_pool_free_size {#max_prefixes_deserialization_thread_pool_free_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+prefixes のデシリアライゼーション用スレッドプール内の**アイドル**スレッド数が `max_prefixes_deserialization_thread_pool_free_size` を超えた場合、ClickHouse はそれらのスレッドが占有しているリソースを解放し、プールのサイズを縮小します。スレッドは必要に応じて再作成されます。
+
+## max_prefixes_deserialization_thread_pool_size {#max_prefixes_deserialization_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+ClickHouse は、MergeTree の Wide パーツにおけるファイルプレフィックスからカラムおよびサブカラムのメタデータを並列に読み取るために、プレフィックスのデシリアライズ用スレッドプールからスレッドを使用します。`max_prefixes_deserialization_thread_pool_size` は、このプール内のスレッド数の上限を指定します。
+
+## max_remote_read_network_bandwidth_for_server {#max_remote_read_network_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+読み取り時に、ネットワーク経由で行われるデータ転送の最大速度を、1 秒あたりのバイト数で指定します。
+
+:::note
+`0`（デフォルト）の場合は無制限を意味します。
+:::
+
+## max_remote_write_network_bandwidth_for_server {#max_remote_write_network_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+サーバーへの書き込み時に、ネットワーク上で行われるデータ交換の最大速度（1 秒あたりのバイト数）。
+
+:::note
+`0`（デフォルト）の場合は無制限を意味します。
+:::
+
+## max_replicated_fetches_network_bandwidth_for_server {#max_replicated_fetches_network_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />レプリケートされたフェッチに対する、ネットワークでのデータ転送の最大速度（1 秒あたりのバイト数）。0 は無制限を意味します。
+
+## max_replicated_sends_network_bandwidth_for_server {#max_replicated_sends_network_bandwidth_for_server} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />レプリケート送信におけるネットワーク上でのデータ転送の最大速度（バイト/秒）。0 を指定すると無制限になります。
+
+## max&#95;replicated&#95;table&#95;num&#95;to&#95;throw {#max_replicated_table_num_to_throw}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+レプリケートテーブルの数がこの値を超えると、サーバーは例外をスローします。
+
+次のデータベースエンジンに属するテーブルのみがカウント対象です：
+
+* Atomic
+* Ordinary
+* Replicated
+* Lazy
+
+:::note
+値 `0` は制限なしを意味します。
+:::
+
+**例**
+
+```xml
+<max_replicated_table_num_to_throw>400</max_replicated_table_num_to_throw>
+```
+
+
+## max_server_memory_usage {#max_server_memory_usage} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+サーバーが使用できるメモリの最大量をバイト単位で指定します。
+
+:::note
+サーバーのメモリ最大使用量は、`max_server_memory_usage_to_ram_ratio` の設定によってさらに制限されます。
+:::
+
+例外的に、値が `0`（デフォルト）の場合、サーバーは利用可能なすべてのメモリを使用できます（ただし、`max_server_memory_usage_to_ram_ratio` による制限は引き続き適用されます）。
+
+## max_server_memory_usage_to_ram_ratio {#max_server_memory_usage_to_ram_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.9" />
+
+サーバーが使用することを許可されているメモリの最大量を、利用可能なメモリ全体に対する比率で指定します。
+
+たとえば、`0.9`（デフォルト）の場合、サーバーは利用可能なメモリの 90% までを使用できます。
+
+メモリ容量の少ないシステムで、メモリ使用量を抑えるために利用します。
+RAM やスワップが少ないホストでは、[`max_server_memory_usage_to_ram_ratio`](#max_server_memory_usage_to_ram_ratio) を 1 より大きな値に設定する必要がある場合があります。
+
+:::note
+サーバーの最大メモリ消費量は、`max_server_memory_usage` の設定によってさらに制限されます。
+:::
+
+## max&#95;session&#95;timeout {#max_session_timeout}
+
+セッションの最大タイムアウト時間（秒）。
+
+例:
+
+```xml
+<max_session_timeout>3600</max_session_timeout>
+```
+
+
+## max&#95;table&#95;num&#95;to&#95;throw {#max_table_num_to_throw}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+テーブル数がこの値を超える場合、サーバーは例外をスローします。
+
+次のテーブルはカウントに含まれません:
+
+* view
+* remote
+* dictionary
+* system
+
+次のデータベースエンジンのテーブルのみをカウントします:
+
+* Atomic
+* Ordinary
+* Replicated
+* Lazy
+
+:::note
+`0` の値は制限がないことを意味します。
+:::
+
+**例**
+
+```xml
+<max_table_num_to_throw>400</max_table_num_to_throw>
+```
+
+
+## max&#95;table&#95;num&#95;to&#95;warn {#max_table_num_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />
+
+アタッチされているテーブルの数が指定された値を超えると、ClickHouse サーバーは `system.warnings` テーブルに警告メッセージを追加します。
+
+**例**
+
+```xml
+<max_table_num_to_warn>400</max_table_num_to_warn>
+```
+
+
+## max&#95;table&#95;size&#95;to&#95;drop {#max_table_size_to_drop}
+
+<SettingsInfoBlock type="UInt64" default_value="50000000000" />
+
+テーブルの削除に関する制限。
+
+[MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) テーブルのサイズが `max_table_size_to_drop`（バイト単位）を超える場合、[`DROP`](../../sql-reference/statements/drop.md) クエリや [`TRUNCATE`](../../sql-reference/statements/truncate.md) クエリを使用して削除することはできません。
+
+:::note
+`0` を指定すると、すべてのテーブルを制限なしで削除できます。
+
+この設定は ClickHouse サーバーを再起動しなくても反映されます。制限を無効化する別の方法として、`<clickhouse-path>/flags/force_drop_table` ファイルを作成することもできます。
+:::
+
+**例**
+
+```xml
+<max_table_size_to_drop>0</max_table_size_to_drop>
+```
+
+
+## max_temporary_data_on_disk_size {#max_temporary_data_on_disk_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+外部集約、JOIN、ソート処理で使用される一時データに対して、ディスク上で使用できる最大容量を指定します。
+この制限を超えたクエリは、例外が発生して失敗します。
+
+:::note
+`0` の値は無制限を意味します。
+:::
+
+関連項目:
+
+- [`max_temporary_data_on_disk_size_for_user`](/operations/settings/settings#max_temporary_data_on_disk_size_for_user)
+- [`max_temporary_data_on_disk_size_for_query`](/operations/settings/settings#max_temporary_data_on_disk_size_for_query)
+
+## max&#95;thread&#95;pool&#95;free&#95;size {#max_thread_pool_free_size}
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+グローバルスレッドプール内の**アイドル**スレッド数が [`max_thread_pool_free_size`](/operations/server-configuration-parameters/settings#max_thread_pool_free_size) を超えると、ClickHouse は一部のスレッドによって占有されているリソースを解放し、プールサイズを縮小します。必要に応じてスレッドは再び作成されます。
+
+**例**
+
+```xml
+<max_thread_pool_free_size>1200</max_thread_pool_free_size>
+```
+
+
+## max&#95;thread&#95;pool&#95;size {#max_thread_pool_size}
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+ClickHouse はクエリを処理する際に Global Thread pool に属するスレッドを使用します。クエリを処理するためのアイドルスレッドがない場合は、プール内に新しいスレッドが作成されます。`max_thread_pool_size` は、プール内のスレッド数の上限を設定します。
+
+**例**
+
+```xml
+<max_thread_pool_size>12000</max_thread_pool_size>
+```
+
+
+## max_unexpected_parts_loading_thread_pool_size {#max_unexpected_parts_loading_thread_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="8" />起動時に非アクティブな予期しないデータパーツ集合を読み込むスレッド数。
+
+## max&#95;view&#95;num&#95;to&#95;throw {#max_view_num_to_throw}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+ビュー数がこの値を超えると、サーバーは例外をスローします。
+
+次のデータベースエンジンのテーブルのみがカウントされます:
+
+* Atomic
+* Ordinary
+* Replicated
+* Lazy
+
+:::note
+`0` の場合は制限なしを意味します。
+:::
+
+**例**
+
+```xml
+<max_view_num_to_throw>400</max_view_num_to_throw>
+```
+
+
+## max&#95;view&#95;num&#95;to&#95;warn {#max_view_num_to_warn}
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+アタッチされているビューの数が指定された値を超えると、ClickHouse サーバーは警告メッセージを `system.warnings` テーブルに記録します。
+
+**例**
+
+```xml
+<max_view_num_to_warn>400</max_view_num_to_warn>
+```
+
+
+## max_waiting_queries {#max_waiting_queries} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+同時に待機状態となるクエリの総数の上限。
+待機中のクエリの実行は、必要なテーブルが非同期で読み込まれている間はブロックされます（[`async_load_databases`](/operations/server-configuration-parameters/settings#async_load_databases) を参照）。
+
+:::note
+待機中のクエリは、以下の設定で制御される制限をチェックする際にはカウントされません。
+
+- [`max_concurrent_queries`](/operations/server-configuration-parameters/settings#max_concurrent_queries)
+- [`max_concurrent_insert_queries`](/operations/server-configuration-parameters/settings#max_concurrent_insert_queries)
+- [`max_concurrent_select_queries`](/operations/server-configuration-parameters/settings#max_concurrent_select_queries)
+- [`max_concurrent_queries_for_user`](/operations/settings/settings#max_concurrent_queries_for_user)
+- [`max_concurrent_queries_for_all_users`](/operations/settings/settings#max_concurrent_queries_for_all_users)
+
+この調整は、サーバー起動直後にこれらの制限にすぐに達してしまうことを避けるために行われます。
+:::
+
+:::note
+
+値 `0`（デフォルト）は無制限を意味します。
+
+この設定は実行時に変更でき、直ちに有効になります。すでに実行中のクエリには影響しません。
+:::
+
+## memory_worker_correct_memory_tracker {#memory_worker_correct_memory_tracker} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+jemalloc や cgroups などの外部ソースからの情報に基づいて、バックグラウンドのメモリワーカーが内部メモリトラッカーを補正するかどうかを制御します。
+
+## memory_worker_period_ms {#memory_worker_period_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+バックグラウンドのメモリワーカーのティック間隔を指定します。このワーカーはメモリトラッカーによるメモリ使用量を補正し、メモリ使用量が高い場合に未使用ページをクリーンアップします。0 に設定すると、メモリ使用元に応じてデフォルト値が使用されます。
+
+## memory_worker_use_cgroup {#memory_worker_use_cgroup} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />現在の cgroup メモリ使用量情報を利用して、メモリトラッキングを補正します。
+
+## merge&#95;tree {#merge_tree}
+
+[MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) テーブルの細かなチューニングを行うための設定です。
+
+詳細については、`MergeTreeSettings.h` ヘッダーファイルを参照してください。
+
+**例**
+
+```xml
+<merge_tree>
+    <max_suspicious_broken_parts>5</max_suspicious_broken_parts>
+</merge_tree>
+```
+
+
+## merge_workload {#merge_workload} 
+
+<SettingsInfoBlock type="String" default_value="default" />
+
+マージ処理とその他のワークロードとの間で、リソースの利用および共有を制御するために使用します。指定した値は、すべてのバックグラウンドマージに対する `workload` 設定値として使用されます。MergeTree の設定で上書きできます。
+
+**関連項目**
+
+- [ワークロードスケジューリング](/operations/workload-scheduling.md)
+
+## merges&#95;mutations&#95;memory&#95;usage&#95;soft&#95;limit {#merges_mutations_memory_usage_soft_limit}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+マージおよびミューテーション処理の実行に使用できる RAM の上限を設定します。
+ClickHouse がこの上限に達すると、新しいバックグラウンドのマージやミューテーション処理はスケジュールされなくなりますが、すでにスケジュール済みのタスクの実行は継続されます。
+
+:::note
+`0` の値は無制限を意味します。
+:::
+
+**例**
+
+```xml
+<merges_mutations_memory_usage_soft_limit>0</merges_mutations_memory_usage_soft_limit>
+```
+
+
+## merges_mutations_memory_usage_to_ram_ratio {#merges_mutations_memory_usage_to_ram_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />
+
+デフォルト値 `merges_mutations_memory_usage_soft_limit` は、`memory_amount * merges_mutations_memory_usage_to_ram_ratio` で計算されます。
+
+**関連項目:**
+
+- [max_memory_usage](/operations/settings/settings#max_memory_usage)
+- [merges_mutations_memory_usage_soft_limit](/operations/server-configuration-parameters/settings#merges_mutations_memory_usage_soft_limit)
+
+## metric&#95;log {#metric_log}
+
+デフォルトでは無効になっています。
+
+**有効化**
+
+メトリクスの履歴収集 [`system.metric_log`](../../operations/system-tables/metric_log.md) を手動で有効化するには、以下の内容を記述した `/etc/clickhouse-server/config.d/metric_log.xml` を作成します。
+
+```xml
+<clickhouse>
+    <metric_log>
+        <database>system</database>
+        <table>metric_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <collect_interval_milliseconds>1000</collect_interval_milliseconds>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+    </metric_log>
+</clickhouse>
+```
+
+**無効化**
+
+`metric_log` の設定を無効化するには、次の内容で `/etc/clickhouse-server/config.d/disable_metric_log.xml` ファイルを作成します：
+
+```xml
+<clickhouse>
+    <metric_log remove="1" />
+</clickhouse>
+```
+
+<SystemLogParameters />
+
+
+## min_os_cpu_wait_time_ratio_to_drop_connection {#min_os_cpu_wait_time_ratio_to_drop_connection} 
+
+<SettingsInfoBlock type="Float" default_value="0" />
+
+接続を切断するかどうかを判断するための、OS における CPU の待機時間（`OSCPUWaitMicroseconds` メトリクス）とビジー時間（`OSCPUVirtualTimeMicroseconds` メトリクス）の最小比率です。切断確率を計算するために、最小比率と最大比率の間で線形補間が使用され、この比率では確率は 0 になります。
+詳細は [サーバー CPU 過負荷時の動作制御](/operations/settings/server-overload) を参照してください。
+
+## mlock&#95;executable {#mlock_executable}
+
+起動後に `mlockall` を実行し、最初のクエリのレイテンシを低減し、高い I/O 負荷時に ClickHouse 実行ファイルがページアウトされるのを防ぎます。
+
+:::note
+このオプションを有効にすることは推奨されますが、その場合、起動時間が最大で数秒ほど長くなります。
+また、この設定は「CAP&#95;IPC&#95;LOCK」ケーパビリティが付与されていないと機能しないことに注意してください。
+:::
+
+**例**
+
+```xml
+<mlock_executable>false</mlock_executable>
+```
+
+
+## mmap_cache_size {#mmap_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1024" />
+
+この設定により、頻繁な open/close 呼び出し（それに伴うページフォルトのため非常にコストが高い）を回避し、複数のスレッドやクエリ間でマッピングを再利用できます。設定値はマッピングされた領域の数（通常はマッピングされたファイル数と同じ）を表します。
+
+マッピングされたファイル内のデータ量は、次のシステムテーブルの以下のメトリクスで監視できます。
+
+- `MMappedFiles`/`MMappedFileBytes`/`MMapCacheCells` in [`system.metrics`](/operations/system-tables/metrics), [`system.metric_log`](/operations/system-tables/metric_log)
+- `CreatedReadBufferMMap`/`CreatedReadBufferMMapFailed`/`MMappedFileCacheHits`/`MMappedFileCacheMisses` in [`system.events`](/operations/system-tables/events), [`system.processes`](/operations/system-tables/processes), [`system.query_log`](/operations/system-tables/query_log), [`system.query_thread_log`](/operations/system-tables/query_thread_log), [`system.query_views_log`](/operations/system-tables/query_views_log)
+
+:::note
+マッピングされたファイル内のデータ量はメモリを直接消費せず、クエリやサーバーのメモリ使用量にも計上されません。これは、このメモリが OS のページキャッシュと同様に破棄可能であるためです。キャッシュは、MergeTree ファミリーのテーブルで古いパーツが削除されるとき（ファイルがクローズされるとき）に自動的にドロップされ、`SYSTEM DROP MMAP CACHE` クエリにより手動でドロップすることもできます。
+
+この設定は実行時に変更でき、即座に有効になります。
+:::
+
+## mutation_workload {#mutation_workload} 
+
+<SettingsInfoBlock type="String" default_value="default" />
+
+ミューテーションとその他のワークロード間で、リソースの利用および共有を制御するために使用します。指定した値は、すべてのバックグラウンドミューテーションで `workload` 設定の値として使用されます。MergeTree の設定で上書きできます。
+
+**関連項目**
+
+- [Workload Scheduling](/operations/workload-scheduling.md)
+
+## mysql&#95;port {#mysql_port}
+
+MySQL プロトコルでクライアントと通信するためのポート。
+
+:::note
+
+* 正の整数は待ち受けるポート番号を指定します
+* 空値は、MySQL プロトコルでのクライアントとの通信を無効にするために使用されます
+  :::
+
+**例**
+
+```xml
+<mysql_port>9004</mysql_port>
+```
+
+
+## mysql_require_secure_transport {#mysql_require_secure_transport} 
+
+true に設定されている場合、[mysql_port](#mysql_port) を介したクライアントとのセキュアな通信が必須になります。`--ssl-mode=none` オプションでの接続は拒否されます。[OpenSSL](#openssl) の設定と併用してください。
+
+## openSSL {#openssl} 
+
+SSL クライアント/サーバー構成。
+
+SSL のサポートは `libpoco` ライブラリによって提供されます。利用可能な構成オプションについては [SSLManager.h](https://github.com/ClickHouse-Extras/poco/blob/master/NetSSL_OpenSSL/include/Poco/Net/SSLManager.h) を参照してください。デフォルト値は [SSLManager.cpp](https://github.com/ClickHouse-Extras/poco/blob/master/NetSSL_OpenSSL/src/SSLManager.cpp) で確認できます。
+
+サーバー/クラアイント構成用のキー:
+
+| オプション                         | 概要                                                                                                                                                                                                                                                                                                                                     | デフォルト値                                                                                     |
+| ----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
+| `privateKeyFile`              | PEM 証明書の秘密鍵ファイルへのパス。このファイルには、鍵と証明書の両方を同時に含めることができます。                                                                                                                                                                                                                                                                                   |                                                                                            |
+| `certificateFile`             | PEM 形式のクライアント／サーバー証明書ファイルへのパス。`privateKeyFile` に証明書が含まれている場合は指定を省略できます。                                                                                                                                                                                                                                                                |                                                                                            |
+| `caConfig`                    | 信頼された CA 証明書を含むファイルまたはディレクトリへのパス。ファイルを指す場合、そのファイルは PEM 形式でなければならず、複数の CA 証明書を含めることができます。ディレクトリを指す場合、そのディレクトリには CA 証明書ごとに 1 つの .pem ファイルを含める必要があります。ファイル名は CA サブジェクト名のハッシュ値で解決されます。詳細は [SSL&#95;CTX&#95;load&#95;verify&#95;locations](https://www.openssl.org/docs/man3.0/man3/SSL_CTX_load_verify_locations.html) の man ページを参照してください。 |                                                                                            |
+| `verificationMode`            | ノード証明書の検証方法です。詳細は [Context](https://github.com/ClickHouse-Extras/poco/blob/master/NetSSL_OpenSSL/include/Poco/Net/Context.h) クラスの説明を参照してください。設定可能な値: `none`, `relaxed`, `strict`, `once`。                                                                                                                                              | `relaxed`                                                                                  |
+| `verificationDepth`           | 検証対象となる証明書チェーンの最大長。証明書チェーンの長さが設定値を超えると、検証は失敗します。                                                                                                                                                                                                                                                                                       | `9`                                                                                        |
+| `loadDefaultCAFile`           | OpenSSL で組み込み CA 証明書を使用するかどうかを指定します。ClickHouse は、組み込み CA 証明書がファイル `/etc/ssl/cert.pem`（またはディレクトリ `/etc/ssl/certs`）か、環境変数 `SSL_CERT_FILE`（または `SSL_CERT_DIR`）で指定されたファイル（またはディレクトリ）に存在すると想定します。                                                                                                                                           | `true`                                                                                     |
+| `cipherList`                  | サポートされている OpenSSL の暗号スイート                                                                                                                                                                                                                                                                                                              | `ALL:!ADH:!LOW:!EXP:!MD5:!3DES:@STRENGTH`                                                  |
+| `cacheSessions`               | セッションのキャッシュを有効または無効にします。`sessionIdContext` と組み合わせて使用する必要があります。指定可能な値: `true`, `false`。                                                                                                                                                                                                                                                 | `false`                                                                                    |
+| `sessionIdContext`            | サーバーが生成する各識別子に付加する、一意なランダム文字列です。文字列の長さは `SSL_MAX_SSL_SESSION_ID_LENGTH` を超えてはなりません。サーバー側でセッションをキャッシュする場合にも、クライアントがキャッシュを要求した場合にも問題を回避できるため、このパラメータの指定を常に推奨します。                                                                                                                                                                         | `$\{application.name\}`                                                                    |
+| `sessionCacheSize`            | サーバーがキャッシュするセッションの最大数です。値を `0` にすると、セッション数は無制限になります。                                                                                                                                                                                                                                                                                   | [1024*20](https://github.com/ClickHouse/boringssl/blob/master/include/openssl/ssl.h#L1978) |
+| `sessionTimeout`              | セッションをサーバー側にキャッシュしておく時間（時間単位）。                                                                                                                                                                                                                                                                                                         | `2`                                                                                        |
+| `extendedVerification`        | 有効にした場合は、証明書の CN または SAN がピアのホスト名と一致していることを確認してください。                                                                                                                                                                                                                                                                                   | `false`                                                                                    |
+| `requireTLSv1`                | TLSv1 接続を必須とします。有効な値: `true`, `false`。                                                                                                                                                                                                                                                                                                 | `false`                                                                                    |
+| `requireTLSv1_1`              | TLSv1.1 接続を必須とします。指定可能な値：`true`、`false`。                                                                                                                                                                                                                                                                                               | `false`                                                                                    |
+| `requireTLSv1_2`              | TLSv1.2 接続を必須とします。許容値: `true`、`false`。                                                                                                                                                                                                                                                                                                 | `false`                                                                                    |
+| `fips`                        | OpenSSL の FIPS モードを有効にします。ライブラリで使用している OpenSSL のバージョンが FIPS をサポートしている場合にのみ有効です。                                                                                                                                                                                                                                                        | `false`                                                                                    |
+| `privateKeyPassphraseHandler` | 秘密鍵にアクセスするためのパスフレーズを要求するクラス（PrivateKeyPassphraseHandler のサブクラス）。たとえば、`<privateKeyPassphraseHandler>`, `<name>KeyFileHandler</name>`, `<options><password>test</password></options>`, `</privateKeyPassphraseHandler>` のように指定します。                                                                                                       | `KeyConsoleHandler`                                                                        |
+| `invalidCertificateHandler`   | 無効な証明書を検証するためのクラス（CertificateHandler のサブクラス）。例：`<invalidCertificateHandler><name>RejectCertificateHandler</name></invalidCertificateHandler>`。                                                                                                                                                                                         | `RejectCertificateHandler`                                                                 |
+| `disableProtocols`            | 使用が禁止されているプロトコル。                                                                                                                                                                                                                                                                                                                       |                                                                                            |
+| `preferServerCiphers`         | サーバー側暗号スイート（クライアント優先）。                                                                                                                                                                                                                                                                                                                 | `false`                                                                                    |
+
+**設定例:**
+
+```xml
+<openSSL>
+    <server>
+        <!-- openssl req -subj "/CN=localhost" -new -newkey rsa:2048 -days 365 -nodes -x509 -keyout /etc/clickhouse-server/server.key -out /etc/clickhouse-server/server.crt -->
+        <certificateFile>/etc/clickhouse-server/server.crt</certificateFile>
+        <privateKeyFile>/etc/clickhouse-server/server.key</privateKeyFile>
+        <!-- openssl dhparam -out /etc/clickhouse-server/dhparam.pem 4096 -->
+        <dhParamsFile>/etc/clickhouse-server/dhparam.pem</dhParamsFile>
+        <verificationMode>none</verificationMode>
+        <loadDefaultCAFile>true</loadDefaultCAFile>
+        <cacheSessions>true</cacheSessions>
+        <disableProtocols>sslv2,sslv3</disableProtocols>
+        <preferServerCiphers>true</preferServerCiphers>
+    </server>
+    <client>
+        <loadDefaultCAFile>true</loadDefaultCAFile>
+        <cacheSessions>true</cacheSessions>
+        <disableProtocols>sslv2,sslv3</disableProtocols>
+        <preferServerCiphers>true</preferServerCiphers>
+        <!-- 自己署名証明書を使用する場合: <verificationMode>none</verificationMode> -->
+        <invalidCertificateHandler>
+            <!-- 自己署名証明書を使用する場合: <name>AcceptCertificateHandler</name> -->
+            <name>RejectCertificateHandler</name>
+        </invalidCertificateHandler>
+    </client>
+</openSSL>
+```
+
+
+## opentelemetry&#95;span&#95;log {#opentelemetry_span_log}
+
+[`opentelemetry_span_log`](../system-tables/opentelemetry_span_log.md) システムテーブルに関する設定です。
+
+<SystemLogParameters />
+
+例：
+
+```xml
+<opentelemetry_span_log>
+    <engine>
+        engine MergeTree
+        partition by toYYYYMM(finish_date)
+        order by (finish_date, finish_time_us, trace_id)
+    </engine>
+    <database>system</database>
+    <table>opentelemetry_span_log</table>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</opentelemetry_span_log>
+```
+
+
+## os_cpu_busy_time_threshold {#os_cpu_busy_time_threshold} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />CPU が有用な処理を行っていると見なすための、OS の CPU ビジー時間（OSCPUVirtualTimeMicroseconds メトリクス）に対する閾値（マイクロ秒単位）です。ビジー時間がこの値未満の場合は、CPU が過負荷状態であるとは見なされません。
+
+## os_threads_nice_value_distributed_cache_tcp_handler {#os_threads_nice_value_distributed_cache_tcp_handler} 
+
+<SettingsInfoBlock type="Int32" default_value="0" />
+
+分散キャッシュ TCP ハンドラーのスレッドに対する Linux の nice 値です。値が小さいほど CPU の優先度が高くなります。
+
+CAP_SYS_NICE ケーパビリティが必要です。付与されていない場合は何も行われません (no-op) となります。
+
+取りうる値の範囲: -20 〜 19。
+
+## os_threads_nice_value_merge_mutate {#os_threads_nice_value_merge_mutate} 
+
+<SettingsInfoBlock type="Int32" default_value="0" />
+
+マージおよびミューテーションスレッドに対する Linux の nice 値です。値が低いほど CPU 優先度は高くなります。
+
+CAP_SYS_NICE ケーパビリティが必要です。ない場合は設定は無効になります。
+
+取り得る値: -20 〜 19。
+
+## os_threads_nice_value_zookeeper_client_send_receive {#os_threads_nice_value_zookeeper_client_send_receive} 
+
+<SettingsInfoBlock type="Int32" default_value="0" />
+
+ZooKeeper クライアントの送受信スレッドに対する Linux の nice 値です。値が小さいほど CPU の優先度が高くなります。
+
+CAP_SYS_NICE ケーパビリティが必要です。ない場合は何も行われません。
+
+取りうる値: -20 〜 19。
+
+## page_cache_free_memory_ratio {#page_cache_free_memory_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.15" />ユーザー空間のページキャッシュには使わずに空けておくメモリ制限値に対する割合。Linux の `min_free_kbytes` の設定に相当します。
+
+## page_cache_history_window_ms {#page_cache_history_window_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />解放されたメモリがユーザー空間のページキャッシュで利用可能になるまでの遅延時間。
+
+## page_cache_max_size {#page_cache_max_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />ユーザー空間ページキャッシュの最大サイズです。キャッシュを無効にするには 0 を設定します。この値が `page_cache_min_size` より大きい場合、キャッシュサイズはこの範囲内で継続的に調整され、合計メモリ使用量が上限（`max_server_memory_usage[_to_ram_ratio]`）を下回るように保ちつつ、利用可能なメモリの大部分を使用するようになります。
+
+## page_cache_min_size {#page_cache_min_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="104857600" />ユーザー空間ページキャッシュの最小サイズ。
+
+## page_cache_policy {#page_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />ユーザー空間ページキャッシュのポリシー名。
+
+## page_cache_shards {#page_cache_shards} 
+
+<SettingsInfoBlock type="UInt64" default_value="4" />ミューテックス競合を減らすため、ユーザー空間ページキャッシュをこの数の分片にストライプします。実験的な機能であり、性能向上が見込める可能性は低いです。
+
+## page_cache_size_ratio {#page_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />ユーザースペースページキャッシュ内の保護キューのサイズを、キャッシュ全体のサイズに対する比率で指定します。
+
+## part&#95;log {#part_log}
+
+[MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) に関連するログイベントを記録します。たとえば、データの追加やマージなどです。ログを使用してマージアルゴリズムをシミュレートし、その特性を比較できます。マージ処理を可視化することもできます。
+
+クエリは、別のファイルではなく [system.part&#95;log](/operations/system-tables/part_log) テーブルに記録されます。このテーブル名は `table` パラメータで構成できます（後述）。
+
+<SystemLogParameters />
+
+**例**
+
+```xml
+<part_log>
+    <database>system</database>
+    <table>part_log</table>
+    <partition_by>toMonday(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</part_log>
+```
+
+
+## parts_kill_delay_period {#parts_kill_delay_period} 
+
+<SettingsInfoBlock type="UInt64" default_value="30" />
+
+SharedMergeTree のパーツを完全に削除するまでの期間。ClickHouse Cloud でのみ利用できます。
+
+## parts_kill_delay_period_random_add {#parts_kill_delay_period_random_add} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+非常に多数のテーブルがある場合に、サンダリング・ハード (thundering herd) 問題が発生して ZooKeeper が DoS 状態になることを避けるために、kill_delay_period に 0〜x 秒の範囲で一様分布に従う値を加算します。ClickHouse Cloud でのみ利用可能です。
+
+## parts_killer_pool_size {#parts_killer_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="128" />
+
+共有された MergeTree の不要なパーツをクリーンアップするためのスレッド数です。ClickHouse Cloud でのみ利用可能です。
+
+## path {#path}
+
+データを格納しているディレクトリへのパス。
+
+:::note
+末尾のスラッシュは必須です。
+:::
+
+**例**
+
+```xml
+<path>/var/lib/clickhouse/</path>
+```
+
+
+## postgresql&#95;port {#postgresql_port}
+
+PostgreSQL プロトコル経由でクライアントと通信するためのポート。
+
+:::note
+
+* 正の整数は待ち受けるポート番号を指定します。
+* 空値は、PostgreSQL プロトコル経由でのクライアントとの通信を無効にするために使用されます。
+  :::
+
+**例**
+
+```xml
+<postgresql_port>9005</postgresql_port>
+```
+
+
+## postgresql_require_secure_transport {#postgresql_require_secure_transport} 
+
+true に設定すると、[postgresql_port](#postgresql_port) 経由でクライアントとのセキュアな通信が必須になります。`sslmode=disable` オプションでの接続は拒否されます。[OpenSSL](#openssl) の設定と併用してください。
+
+## prefetch_threadpool_pool_size {#prefetch_threadpool_pool_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="100" />リモートオブジェクトストレージ用プリフェッチのバックグラウンドプールのサイズ
+
+## prefetch_threadpool_queue_size {#prefetch_threadpool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />プリフェッチ用プールに投入可能なタスクの最大数
+
+## prefixes_deserialization_thread_pool_thread_pool_queue_size {#prefixes_deserialization_thread_pool_thread_pool_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+prefixes deserialization スレッドプールでスケジュール可能なジョブの最大数。
+
+:::note
+値が `0` の場合は無制限を意味します。
+:::
+
+## prepare_system_log_tables_on_startup {#prepare_system_log_tables_on_startup} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+true に設定されている場合、ClickHouse は起動前に設定されているすべての `system.*_log` テーブルを作成します。これらのテーブルに依存する起動スクリプトがある場合に有用です。
+
+## primary_index_cache_policy {#primary_index_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />プライマリ索引キャッシュポリシーの名前です。
+
+## primary_index_cache_prewarm_ratio {#primary_index_cache_prewarm_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.95" />プリウォーム時にマークキャッシュの合計サイズのうち、どの程度を事前に読み込むかを指定する比率です。
+
+## primary_index_cache_size {#primary_index_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="5368709120" />プライマリ索引（MergeTree ファミリーのテーブルの索引）用キャッシュの最大サイズ。
+
+## primary_index_cache_size_ratio {#primary_index_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />プライマリ索引キャッシュにおいて、保護キュー（SLRU ポリシーの場合）のサイズがキャッシュ全体サイズに対して占める比率。
+
+## process&#95;query&#95;plan&#95;packet {#process_query_plan_packet}
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+この設定を有効にすると、QueryPlan パケットを読み込めるようになります。このパケットは、`serialize_query_plan` が有効な場合に分散クエリ向けに送信されます。
+クエリプランのバイナリデシリアライズ処理に存在するバグに起因するセキュリティ上の問題を避けるため、デフォルトでは無効になっています。
+
+**例**
+
+```xml
+<process_query_plan_packet>true</process_query_plan_packet>
+```
+
+
+## processors&#95;profile&#95;log {#processors_profile_log}
+
+[`processors_profile_log`](../system-tables/processors_profile_log.md) システムテーブルの設定です。
+
+<SystemLogParameters />
+
+既定の設定は以下のとおりです。
+
+```xml
+<processors_profile_log>
+    <database>system</database>
+    <table>processors_profile_log</table>
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</processors_profile_log>
+```
+
+
+## prometheus {#prometheus}
+
+[Prometheus](https://prometheus.io) からスクレイプされるメトリクスデータを公開します。
+
+Settings:
+
+* `endpoint` – Prometheus サーバーがメトリクスをスクレイプするための HTTP エンドポイント。先頭は &#39;/&#39; とします。
+* `port` – `endpoint` 用のポート。
+* `metrics` – [system.metrics](/operations/system-tables/metrics) テーブルのメトリクスを公開します。
+* `events` – [system.events](/operations/system-tables/events) テーブルのメトリクスを公開します。
+* `asynchronous_metrics` – [system.asynchronous&#95;metrics](/operations/system-tables/asynchronous_metrics) テーブルから現在のメトリクス値を公開します。
+* `errors` - 直近のサーバー再起動以降に発生した、エラーコードごとのエラー発生回数を公開します。この情報は [system.errors](/operations/system-tables/errors) からも取得できます。
+
+**Example**
+
+```xml
+<clickhouse>
+    <listen_host>0.0.0.0</listen_host>
+    <http_port>8123</http_port>
+    <tcp_port>9000</tcp_port>
+    <!-- highlight-start -->
+    <prometheus>
+        <endpoint>/metrics</endpoint>
+        <port>9363</port>
+        <metrics>true</metrics>
+        <events>true</events>
+        <asynchronous_metrics>true</asynchronous_metrics>
+        <errors>true</errors>
+    </prometheus>
+    <!-- highlight-end -->
+</clickhouse>
+```
+
+次を確認します（`127.0.0.1` を ClickHouse サーバーの IP アドレスまたはホスト名に置き換えてください）:
+
+```bash
+curl 127.0.0.1:9363/metrics
+```
+
+
+## proxy {#proxy}
+
+HTTP および HTTPS リクエスト用のプロキシサーバーを定義します。現在、S3 ストレージ、S3 テーブル関数、および URL 関数で利用できます。
+
+プロキシサーバーを定義する方法は 3 つあります。
+
+* 環境変数
+* プロキシリスト
+* リモートプロキシリゾルバー
+
+特定のホストについては、`no_proxy` を使用してプロキシサーバーをバイパスすることもできます。
+
+**環境変数**
+
+`http_proxy` および `https_proxy` 環境変数を使用すると、特定のプロトコルに対して
+プロキシサーバーを指定できます。これらがシステムに設定されていれば、そのまま利用できます。
+
+これは、あるプロトコルに対してプロキシサーバーが 1 つだけであり、そのプロキシサーバーが変更されない場合に最も簡単な方法です。
+
+**プロキシリスト**
+
+この方法では、あるプロトコルに対して 1 つ以上の
+プロキシサーバーを指定できます。複数のプロキシサーバーが定義されている場合、
+ClickHouse は異なるプロキシをラウンドロビン方式で使用し、サーバー間で
+負荷を分散します。これは、あるプロトコルに対して複数の
+プロキシサーバーが存在し、プロキシサーバーのリストが変更されない場合に最も簡単な方法です。
+
+**Configuration template**
+
+```xml
+<proxy>
+    <http>
+        <uri>http://proxy1</uri>
+        <uri>http://proxy2:3128</uri>
+    </http>
+    <https>
+        <uri>http://proxy1:3128</uri>
+    </https>
+</proxy>
+```
+
+下のタブで親フィールドを選択すると、その子フィールドが表示されます:
+
+<Tabs>
+  <TabItem value="proxy" label="<proxy>" default>
+    | フィールド     | 説明                    |
+    | --------- | --------------------- |
+    | `<http>`  | 1 つ以上の HTTP プロキシのリスト  |
+    | `<https>` | 1 つ以上の HTTPS プロキシのリスト |
+  </TabItem>
+
+  <TabItem value="http_https" label="<http> と <https>">
+    | フィールド   | 説明        |
+    | ------- | --------- |
+    | `<uri>` | プロキシの URI |
+  </TabItem>
+</Tabs>
+
+**リモートプロキシリゾルバ**
+
+プロキシサーバーが動的に変化することがあります。その場合は、リゾルバのエンドポイントを定義できます。ClickHouse はそのエンドポイントに空の GET リクエストを送信し、リモートリゾルバはプロキシホストを返す必要があります。
+ClickHouse はそれを使用して、次のテンプレートに従ってプロキシ URI を生成します: `\{proxy_scheme\}://\{proxy_host\}:{proxy_port}`
+
+**設定テンプレート**
+
+```xml
+<proxy>
+    <http>
+        <resolver>
+            <endpoint>http://resolver:8080/hostname</endpoint>
+            <proxy_scheme>http</proxy_scheme>
+            <proxy_port>80</proxy_port>
+            <proxy_cache_time>10</proxy_cache_time>
+        </resolver>
+    </http>
+
+    <https>
+        <resolver>
+            <endpoint>http://resolver:8080/hostname</endpoint>
+            <proxy_scheme>http</proxy_scheme>
+            <proxy_port>3128</proxy_port>
+            <proxy_cache_time>10</proxy_cache_time>
+        </resolver>
+    </https>
+
+</proxy>
+```
+
+以下のタブで親フィールドを選択すると、その子フィールドが表示されます:
+
+<Tabs>
+  <TabItem value="proxy" label="<proxy>" default>
+    | Field     | Description          |
+    | --------- | -------------------- |
+    | `<http>`  | 1つ以上の resolver のリスト* |
+    | `<https>` | 1つ以上の resolver のリスト* |
+  </TabItem>
+
+  <TabItem value="http_https" label="<http> and <https>">
+    | Field        | Description              |
+    | ------------ | ------------------------ |
+    | `<resolver>` | resolver のエンドポイントとその他の詳細 |
+
+    :::note
+    複数の `<resolver>` 要素を指定できますが、特定のプロトコルについて実際に使用されるのは最初の
+    `<resolver>` だけです。そのプロトコルに対するその他の `<resolver>`
+    要素は無視されます。つまり、(必要な場合は) 負荷分散はリモート側の resolver で実装する必要があります。
+    :::
+  </TabItem>
+
+  <TabItem value="resolver" label="<resolver>">
+    | Field                | Description                                                                                                         |
+    | -------------------- | ------------------------------------------------------------------------------------------------------------------- |
+    | `<endpoint>`         | プロキシ resolver の URI                                                                                                 |
+    | `<proxy_scheme>`     | 最終的なプロキシ URI のプロトコル。`http` または `https` のいずれかを指定できます。                                                                |
+    | `<proxy_port>`       | プロキシ resolver のポート番号                                                                                                |
+    | `<proxy_cache_time>` | resolver から取得した値を ClickHouse がキャッシュする秒数。この値を `0` に設定すると、ClickHouse はすべての HTTP および HTTPS リクエストごとに resolver に問い合わせます。 |
+  </TabItem>
+</Tabs>
+
+**Precedence**
+
+プロキシ設定は次の優先順位で決定されます。
+
+| Order | Setting           |
+| ----- | ----------------- |
+| 1.    | リモートプロキシ resolver |
+| 2.    | プロキシリスト           |
+| 3.    | 環境変数              |
+
+
+ClickHouse は、リクエストプロトコルに対して、最も優先度の高い resolver の種類を確認します。定義されていなければ、
+環境 resolver に到達するまで、次に優先度の高い resolver の種類を順に確認します。
+これにより、複数種類の resolver を併用することも可能になります。
+
+## query&#95;cache {#query_cache}
+
+[Query cache](../query-cache.md) の設定。
+
+利用可能な設定は以下のとおりです。
+
+| Setting                   | Description                                  | Default Value |
+| ------------------------- | -------------------------------------------- | ------------- |
+| `max_size_in_bytes`       | キャッシュの最大サイズ（バイト単位）。`0` の場合、クエリキャッシュは無効化されます。 | `1073741824`  |
+| `max_entries`             | キャッシュに保存される `SELECT` クエリ結果の最大件数。             | `1024`        |
+| `max_entry_size_in_bytes` | キャッシュに保存できる `SELECT` クエリ結果の最大サイズ（バイト単位）。     | `1048576`     |
+| `max_entry_size_in_rows`  | キャッシュに保存できる `SELECT` クエリ結果の最大行数。             | `30000000`    |
+
+:::note
+
+* 設定の変更は直ちに有効になります。
+* クエリキャッシュ用のデータは DRAM 上に確保されます。メモリが逼迫している場合は、`max_size_in_bytes` を小さい値に設定するか、クエリキャッシュを無効化するようにしてください。
+  :::
+
+**例**
+
+```xml
+<query_cache>
+    <max_size_in_bytes>1073741824</max_size_in_bytes>
+    <max_entries>1024</max_entries>
+    <max_entry_size_in_bytes>1048576</max_entry_size_in_bytes>
+    <max_entry_size_in_rows>30000000</max_entry_size_in_rows>
+</query_cache>
+```
+
+
+## query_condition_cache_policy {#query_condition_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />クエリ条件キャッシュのポリシー名。
+
+## query_condition_cache_size {#query_condition_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="104857600" />
+
+クエリ条件キャッシュの最大サイズ。
+:::note
+このSETTINGは実行時に変更でき、その変更は即座に反映されます。
+:::
+
+## query_condition_cache_size_ratio {#query_condition_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />クエリ条件キャッシュにおける保護キューのサイズ（SLRU ポリシーの場合）を、キャッシュ全体のサイズに対する比率で表します。
+
+## query&#95;log {#query_log}
+
+[log&#95;queries=1](../../operations/settings/settings.md) 設定で受信したクエリをログに記録するための設定です。
+
+クエリは別ファイルではなく、[system.query&#95;log](/operations/system-tables/query_log) テーブルに記録されます。`table` パラメータでテーブル名を変更できます（下記参照）。
+
+<SystemLogParameters />
+
+テーブルが存在しない場合、ClickHouse がテーブルを作成します。ClickHouse サーバーをアップデートした際にクエリログの構造が変更されていた場合は、古い構造のテーブルの名前が変更され、新しいテーブルが自動的に作成されます。
+
+**例**
+
+```xml
+<query_log>
+    <database>system</database>
+    <table>query_log</table>
+    <engine>Engine = MergeTree PARTITION BY event_date ORDER BY event_time TTL event_date + INTERVAL 30 day</engine>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</query_log>
+```
+
+
+## query&#95;masking&#95;rules {#query_masking_rules}
+
+正規表現に基づくルールで、サーバーログに保存される前にクエリおよびすべてのログメッセージに適用されます。
+[`system.query_log`](/operations/system-tables/query_log)、[`system.text_log`](/operations/system-tables/text_log)、[`system.processes`](/operations/system-tables/processes) テーブル、およびクライアントへ送信されるログが対象です。これにより、SQL クエリ内の名前、メールアドレス、個人識別子、クレジットカード番号などの機密データがログに漏えいするのを防ぐことができます。
+
+**例**
+
+```xml
+<query_masking_rules>
+    <rule>
+        <name>SSNを隠す</name>
+        <regexp>(^|\D)\d{3}-\d{2}-\d{4}($|\D)</regexp>
+        <replace>000-00-0000</replace>
+    </rule>
+</query_masking_rules>
+```
+
+**設定項目**:
+
+| Setting   | Description                               |
+| --------- | ----------------------------------------- |
+| `name`    | ルール名（オプション）                               |
+| `regexp`  | RE2 互換の正規表現（必須）                           |
+| `replace` | 機密データを置き換えるための文字列（オプション、デフォルトはアスタリスク 6 個） |
+
+マスキングルールはクエリ全体に適用されます（不正な形式の / 解析不能なクエリから機密データが漏えいするのを防ぐため）。
+
+[`system.events`](/operations/system-tables/events) テーブルには `QueryMaskingRulesMatch` カウンタがあり、クエリマスキングルールにマッチした総件数が記録されます。
+
+分散クエリの場合は、各サーバーを個別に設定する必要があります。そうしないと、他ノードに渡されたサブクエリはマスキングされずに保存されます。
+
+
+## query&#95;metric&#95;log {#query_metric_log}
+
+デフォルトでは無効になっています。
+
+**有効化**
+
+メトリクス履歴の収集 [`system.query_metric_log`](../../operations/system-tables/query_metric_log.md) を手動で有効にするには、次の内容で `/etc/clickhouse-server/config.d/query_metric_log.xml` を作成します：
+
+```xml
+<clickhouse>
+    <query_metric_log>
+        <database>system</database>
+        <table>query_metric_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <collect_interval_milliseconds>1000</collect_interval_milliseconds>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+    </query_metric_log>
+</clickhouse>
+```
+
+**無効化**
+
+`query_metric_log` 設定を無効にするには、次の内容でファイル `/etc/clickhouse-server/config.d/disable_query_metric_log.xml` を作成します。
+
+```xml
+<clickhouse>
+    <query_metric_log remove="1" />
+</clickhouse>
+```
+
+<SystemLogParameters />
+
+
+## query&#95;thread&#95;log {#query_thread_log}
+
+[log&#95;query&#95;threads=1](/operations/settings/settings#log_query_threads) 設定を有効にした場合に、受信したクエリのスレッドをログに記録するための設定です。
+
+クエリは、個別のファイルではなく [system.query&#95;thread&#95;log](/operations/system-tables/query_thread_log) テーブルに記録されます。テーブル名は `table` パラメータで変更できます（下記参照）。
+
+<SystemLogParameters />
+
+テーブルが存在しない場合、ClickHouse はテーブルを作成します。ClickHouse サーバーのアップグレード時にクエリスレッドログの構造が変更された場合は、古い構造のテーブルの名前が変更され、新しいテーブルが自動的に作成されます。
+
+**例**
+
+```xml
+<query_thread_log>
+    <database>system</database>
+    <table>query_thread_log</table>
+    <partition_by>toMonday(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</query_thread_log>
+```
+
+
+## query&#95;views&#95;log {#query_views_log}
+
+[log&#95;query&#95;views=1](/operations/settings/settings#log_query_views) 設定により受信したクエリに応じて、ビュー（ライブビュー、マテリアライズドビューなど）をログに記録するための設定です。
+
+クエリは、別ファイルではなく [system.query&#95;views&#95;log](/operations/system-tables/query_views_log) テーブルに記録されます。`table` パラメータ（後述）でテーブル名を変更できます。
+
+<SystemLogParameters />
+
+テーブルが存在しない場合、ClickHouse が作成します。ClickHouse サーバーのアップデート時に query views ログの構造が変更された場合は、古い構造のテーブルの名前が変更され、新しいテーブルが自動的に作成されます。
+
+**例**
+
+```xml
+<query_views_log>
+    <database>system</database>
+    <table>query_views_log</table>
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+</query_views_log>
+```
+
+
+## remap&#95;executable {#remap_executable}
+
+マシンコード（「text」）用メモリをヒュージページを用いて再割り当てするための設定です。
+
+:::note
+この機能は非常に実験的なものです。
+:::
+
+例:
+
+```xml
+<remap_executable>false</remap_executable>
+```
+
+
+## remote&#95;servers {#remote_servers}
+
+[Distributed](../../engines/table-engines/special/distributed.md) テーブルエンジンおよび `cluster` テーブル関数で使用されるクラスタの設定。
+
+**例**
+
+```xml
+<remote_servers incl="clickhouse_remote_servers" />
+```
+
+`incl` 属性の設定値については、「[Configuration files](/operations/configuration-files)」セクションを参照してください。
+
+**関連項目**
+
+* [skip&#95;unavailable&#95;shards](../../operations/settings/settings.md#skip_unavailable_shards)
+* [Cluster Discovery](../../operations/cluster-discovery.md)
+* [Replicated database engine](../../engines/database-engines/replicated.md)
+
+
+## remote&#95;url&#95;allow&#95;hosts {#remote_url_allow_hosts}
+
+URL 関連のストレージエンジンおよびテーブル関数で使用を許可するホストの一覧を指定します。
+
+`\<host\>` XML タグでホストを追加する場合:
+
+* 名前解決 (DNS 解決) の前に名前がチェックされるため、URL 内に記載されているものと完全に同一に指定する必要があります。例: `<host>clickhouse.com</host>`
+* URL 内でポートが明示的に指定されている場合は、host:port 全体が一体としてチェックされます。例: `<host>clickhouse.com:80</host>`
+* ホストをポートなしで指定した場合、そのホストの任意のポートが許可されます。例: `<host>clickhouse.com</host>` が指定されている場合、`clickhouse.com:20` (FTP)、`clickhouse.com:80` (HTTP)、`clickhouse.com:443` (HTTPS) などが許可されます。
+* ホストを IP アドレスとして指定した場合は、URL に記載されているとおりの形でチェックされます。例: `[2a02:6b8:a::a]`。
+* リダイレクトが存在し、リダイレクトのサポートが有効になっている場合は、すべてのリダイレクト (location フィールド) がチェックされます。
+
+例:
+
+```sql
+<remote_url_allow_hosts>
+    <host>clickhouse.com</host>
+</remote_url_allow_hosts>
+```
+
+
+## replica&#95;group&#95;name {#replica_group_name}
+
+Replicated データベース用のレプリカグループ名。
+
+Replicated データベースによって作成されるクラスターは、同じグループ内のレプリカで構成されます。
+DDL クエリは同じグループ内のレプリカのみを待機します。
+
+デフォルトは空です。
+
+**例**
+
+```xml
+<replica_group_name>バックアップ</replica_group_name>
+```
+
+
+## replicated_fetches_http_connection_timeout {#replicated_fetches_http_connection_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />パーツのフェッチ要求に対する HTTP 接続のタイムアウトです。明示的に設定されていない場合は、デフォルトプロファイルの `http_connection_timeout` を継承します。
+
+## replicated_fetches_http_receive_timeout {#replicated_fetches_http_receive_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />フェッチパーツリクエストに対する HTTP 受信タイムアウト。明示的に設定しない場合は、デフォルトプロファイルの `http_receive_timeout` の値を継承します。
+
+## replicated_fetches_http_send_timeout {#replicated_fetches_http_send_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />パーツ取得リクエストに対する HTTP 送信タイムアウト。明示的に設定されていない場合は、デフォルトプロファイル `http_send_timeout` の値が継承されます。
+
+## replicated&#95;merge&#95;tree {#replicated_merge_tree}
+
+[ReplicatedMergeTree](../../engines/table-engines/mergetree-family/mergetree.md) テーブル向けの微調整用設定です。この設定が優先されます。
+
+詳細については、ヘッダーファイル `MergeTreeSettings.h` を参照してください。
+
+**例**
+
+```xml
+<replicated_merge_tree>
+    <max_suspicious_broken_parts>5</max_suspicious_broken_parts>
+</replicated_merge_tree>
+```
+
+
+## restore_threads {#restore_threads} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="16" />RESTORE リクエストの実行に使用されるスレッドの最大数。
+
+## s3_credentials_provider_max_cache_size {#s3_credentials_provider_max_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />キャッシュできる S3 資格情報プロバイダの最大数
+
+## s3_max_redirects {#s3_max_redirects} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />S3 リダイレクトに対して許可されるホップ数の最大値。
+
+## s3_retry_attempts {#s3_retry_attempts} 
+
+<SettingsInfoBlock type="UInt64" default_value="500" />Aws::Client::RetryStrategy 用の設定です。Aws::Client 自体がリトライを行い、0 はリトライしないことを意味します。
+
+## s3queue_disable_streaming {#s3queue_disable_streaming} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />テーブルが作成済みでマテリアライズドビューがアタッチされている場合でも、S3Queue のストリーミングを無効化します
+
+## s3queue&#95;log {#s3queue_log}
+
+`s3queue_log` システムテーブルに関する設定です。
+
+<SystemLogParameters />
+
+既定の設定は次のとおりです。
+
+```xml
+<s3queue_log>
+    <database>system</database>
+    <table>s3queue_log</table>
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+</s3queue_log>
+```
+
+
+## send&#95;crash&#95;reports {#send_crash_reports}
+
+ClickHouse コア開発チームにクラッシュレポートを送信するための設定です。
+
+特に本番導入前の環境では、有効化しておくことを強く推奨します。
+
+Keys:
+
+| Key                   | Description                                                                                             |
+| --------------------- | ------------------------------------------------------------------------------------------------------- |
+| `enabled`             | 機能を有効にするかどうかを制御するブール型フラグです。デフォルトは `true` です。クラッシュレポートを送信したくない場合は `false` に設定します。                        |
+| `send_logical_errors` | `LOGICAL_ERROR` は `assert` のようなもので、ClickHouse のバグを示します。このブール型フラグは、これらの例外を送信するかどうかを制御します（デフォルト: `true`）。 |
+| `endpoint`            | クラッシュレポートの送信先エンドポイント URL を上書きできます。                                                                      |
+
+**推奨される使い方**
+
+```xml
+<send_crash_reports>
+    <enabled>true</enabled>
+</send_crash_reports>
+```
+
+
+## series_keeper_path {#series_keeper_path} 
+
+<SettingsInfoBlock type="String" default_value="/clickhouse/series" />
+
+`generateSerialID` 関数によって生成される、自動インクリメント番号付きの Keeper 内のパスです。各シリーズはこのパス配下のノードになります。
+
+## show_addresses_in_stack_traces {#show_addresses_in_stack_traces} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />true に設定すると、スタックトレースにアドレスを表示します
+
+## shutdown_wait_backups_and_restores {#shutdown_wait_backups_and_restores} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />true に設定すると、ClickHouse はシャットダウン前に、実行中のバックアップおよびリストアが完了するまで待機します。
+
+## shutdown_wait_unfinished {#shutdown_wait_unfinished} 
+
+<SettingsInfoBlock type="UInt64" default_value="5" />未完了のクエリが終了するまで待機する秒数
+
+## shutdown_wait_unfinished_queries {#shutdown_wait_unfinished_queries} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />true に設定すると、ClickHouse はシャットダウン前に実行中のクエリが完了するまで待機します。
+
+## skip_binary_checksum_checks {#skip_binary_checksum_checks} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />ClickHouse バイナリに対するチェックサム整合性検証をスキップします
+
+## ssh&#95;server {#ssh_server}
+
+ホストキーの公開鍵部分は、最初の接続時に SSH クライアント側の known&#95;hosts ファイルに書き込まれます。
+
+Host Key Configurations はデフォルトでは無効になっています。
+ホストキー設定のコメントアウトを外し、対応する ssh キーへのパスを指定して有効化してください：
+
+例：
+
+```xml
+<ssh_server>
+    <host_rsa_key>path_to_the_ssh_key</host_rsa_key>
+    <host_ecdsa_key>path_to_the_ssh_key</host_ecdsa_key>
+    <host_ed25519_key>path_to_the_ssh_key</host_ed25519_key>
+</ssh_server>
+```
+
+
+## startup_mv_delay_ms {#startup_mv_delay_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />マテリアライズドビュー作成の遅延をシミュレートするためのデバッグ用パラメータ。
+
+## storage&#95;configuration {#storage_configuration}
+
+ストレージの複数ディスク構成を行えるようにします。
+
+ストレージ構成は次の構造になります：
+
+```xml
+<storage_configuration>
+    <disks>
+        <!-- 設定 -->
+    </disks>
+    <policies>
+        <!-- 設定 -->
+    </policies>
+</storage_configuration>
+```
+
+
+### ディスクの設定 {#configuration-of-disks}
+
+`disks` の設定は、以下の構造に従います。
+
+```xml
+<storage_configuration>
+    <disks>
+        <disk_name_1>
+            <path>/mnt/fast_ssd/clickhouse/</path>
+        </disk_name_1>
+        <disk_name_2>
+            <path>/mnt/hdd1/clickhouse/</path>
+            <keep_free_space_bytes>10485760</keep_free_space_bytes>
+        </disk_name_2>
+        <disk_name_3>
+            <path>/mnt/hdd2/clickhouse/</path>
+            <keep_free_space_bytes>10485760</keep_free_space_bytes>
+        </disk_name_3>
+        ...
+    </disks>
+</storage_configuration>
+```
+
+上記のサブタグでは、`disks` に対して次の設定を定義します。
+
+| Setting                 | Description                                                   |
+| ----------------------- | ------------------------------------------------------------- |
+| `<disk_name_N>`         | 一意である必要があるディスクの名前。                                            |
+| `path`                  | サーバーデータ（`data` および `shadow` カタログ）が保存されるパス。末尾は `/` である必要があります。 |
+| `keep_free_space_bytes` | ディスク上で予約しておく空き領域のサイズ。                                         |
+
+:::note
+ディスクの順序は問いません。
+:::
+
+
+### ポリシーの設定 {#configuration-of-policies}
+
+上記のサブタグは、`policies` に対して次の設定を定義します。
+
+| Setting                      | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
+|------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| `policy_name_N`              | ポリシー名。ポリシー名は一意である必要があります。                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+| `volume_name_N`              | ボリューム名。ボリューム名は一意である必要があります。                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
+| `disk`                       | ボリューム内にあるディスク。                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
+| `max_data_part_size_bytes`   | このボリューム内の任意のディスク上に存在できるデータ chunk の最大サイズ。マージの結果として予測される chunk サイズが `max_data_part_size_bytes` を超える場合、その chunk は次のボリュームに書き込まれます。基本的に、この機能により、新規 / 小さい chunk をホット (SSD) ボリュームに保存し、大きなサイズに達したときにコールド (HDD) ボリュームへ移動できます。ポリシーにボリュームが 1 つしかない場合、このオプションは使用しないでください。                                                                 |
+| `move_factor`                | ボリューム上の利用可能な空き容量の割合。空き容量がこの割合を下回ると、（存在する場合は）次のボリュームへデータの移動が開始されます。移動の際、chunk はサイズの大きいものから小さいものへ（降順で）ソートされ、合計サイズが `move_factor` の条件を満たす chunk が選択されます。すべての chunk を合わせても条件を満たせない場合は、すべての chunk が移動されます。                                                                                                             |
+| `perform_ttl_move_on_insert` | 挿入時の有効期限 (TTL) 切れデータの移動を無効にします。デフォルト（有効な場合）では、すでに TTL に基づく移動ルールに従って有効期限切れとなっているデータを挿入すると、即座にその移動ルールで指定されたボリューム / ディスクに移動されます。ターゲットのボリューム / ディスクが遅い場合（例: S3）、これは挿入処理を大きく低速化する可能性があります。無効にした場合、有効期限切れのデータ部分はいったんデフォルトのボリュームに書き込まれ、その後すぐに有効期限 (TTL) 用ルールで指定されたボリュームに移動されます。 |
+| `load_balancing`             | ディスクのバランシングポリシー。`round_robin` または `least_used`。                                                                                                                                                                                                                                                                                                                                                                                                                                             |
+| `least_used_ttl_ms`          | すべてのディスク上の利用可能な空き容量を更新するためのタイムアウト（ミリ秒）を設定します（`0` - 常に更新、`-1` - 一切更新しない、デフォルト値は `60000`）。ディスクが ClickHouse のみで使用され、ファイルシステムのオンラインリサイズの対象とならない場合は、`-1` を使用できます。その他のケースでは、最終的に誤った容量割り当てにつながるため、推奨されません。                                                                                                                   |
+| `prefer_not_to_merge`        | このボリューム上のデータパーツのマージを無効にします。注意: これは潜在的に有害で、パフォーマンス低下を引き起こす可能性があります。この設定を有効にすると（推奨しません）、このボリューム上でのデータマージは禁止されます（これは好ましくありません）。これにより、ClickHouse が低速ディスクとどのようにやり取りするかを制御できますが、基本的には使用しないことを推奨します。                                                                                                                        |
+| `volume_priority`            | ボリュームが埋められる優先度（順序）を定義します。値が小さいほど優先度が高くなります。パラメータ値は自然数であり、1 から N（N は指定されたパラメータ値の最大値）までの範囲を欠番なくカバーしている必要があります。                                                                                                                                                                                                                                                       |
+
+`volume_priority` について:
+
+- すべてのボリュームにこのパラメータが設定されている場合、指定された順序で優先されます。
+- _一部の_ ボリュームのみに設定されている場合、設定されていないボリュームは最も低い優先度になります。設定されているボリュームはタグ値に従って優先され、それ以外のボリュームは設定ファイル内での記述順によって相互の優先度が決まります。
+- _どの_ ボリュームにもこのパラメータが設定されていない場合、設定ファイル内での記述順によって順序が決まります。
+- ボリュームの優先度は、同一である必要はありません。
+
+## storage_connections_hard_limit {#storage_connections_hard_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />この制限に達した状態で新規作成を行おうとすると、例外がスローされます。ハードリミットを無効にするには 0 に設定します。この制限はストレージの接続に適用されます。
+
+## storage_connections_soft_limit {#storage_connections_soft_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />この上限を超えた接続の有効期間 (TTL) は大幅に短くなります。この上限はストレージへの接続に適用されます。
+
+## storage_connections_store_limit {#storage_connections_store_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />この上限を超えた接続は、使用後にリセットされます。接続キャッシュを無効にするには 0 を設定します。この上限はストレージの接続に適用されます。
+
+## storage_connections_warn_limit {#storage_connections_warn_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="500" />使用中の接続数がこの上限を超えた場合、警告メッセージがログに書き込まれます。この上限はストレージへの接続に適用されます。
+
+## storage_metadata_write_full_object_key {#storage_metadata_write_full_object_key} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />VERSION_FULL_OBJECT_KEY 形式でディスクのメタデータファイルを書き込みます。デフォルトで有効です。この設定は非推奨となっています。
+
+## storage_shared_set_join_use_inner_uuid {#storage_shared_set_join_use_inner_uuid} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />有効にすると、SharedSet と SharedJoin の作成時に内部 UUID が生成されます。ClickHouse Cloud でのみ利用可能です。
+
+## table_engines_require_grant {#table_engines_require_grant} 
+
+true に設定すると、特定のエンジンを使用してテーブルを作成するには、ユーザーに対する GRANT が必要になります（例: `GRANT TABLE ENGINE ON TinyLog to user`）。
+
+:::note
+デフォルトでは、後方互換性のため、特定のテーブルエンジンを使用してテーブルを作成する際の GRANT はチェックされませんが、これを true に設定することで、この動作を変更できます。
+:::
+
+## tables_loader_background_pool_size {#tables_loader_background_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+バックグラウンドプールで非同期ロードジョブを実行するスレッド数を設定します。バックグラウンドプールは、そのテーブルを待っているクエリが存在しない場合に、サーバー起動後にテーブルを非同期でロードするために使用されます。テーブル数が多い場合は、バックグラウンドプール内のスレッド数を少なく保つことが有用な場合があります。これにより、同時クエリ実行のための CPU リソースを確保できます。
+
+:::note
+`0` を指定すると、利用可能なすべての CPU が使用されます。
+:::
+
+## tables_loader_foreground_pool_size {#tables_loader_foreground_pool_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+フォアグラウンドプールでロードジョブを実行するスレッド数を設定します。フォアグラウンドプールは、サーバーがポートでの待ち受けを開始する前にテーブルを同期的にロードする場合や、ロード完了を待機しているテーブルをロードする場合に使用されます。フォアグラウンドプールはバックグラウンドプールより高い優先度を持ちます。つまり、フォアグラウンドプールでジョブが実行されている間は、バックグラウンドプールで新たなジョブは開始されません。
+
+:::note
+値 `0` の場合は、利用可能なすべての CPU が使用されます。
+:::
+
+## tcp_close_connection_after_queries_num {#tcp_close_connection_after_queries_num} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />TCP 接続ごとに、接続を閉じるまでに実行を許可されるクエリの最大数です。無制限にするには 0 を設定します。
+
+## tcp_close_connection_after_queries_seconds {#tcp_close_connection_after_queries_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />TCP 接続が閉じられるまでの最大存続時間（秒）。接続の存続時間を無制限にするには 0 に設定します。
+
+## tcp&#95;port {#tcp_port}
+
+TCPプロトコル経由でクライアントとの通信に使用するポートです。
+
+**例**
+
+```xml
+<tcp_port>9000</tcp_port>
+```
+
+
+## tcp&#95;port&#95;secure {#tcp_port_secure}
+
+クライアントとのセキュアな通信に使用される TCP ポートです。[OpenSSL](#openssl) の設定と併せて使用します。
+
+**デフォルト値**
+
+```xml
+<tcp_port_secure>9440</tcp_port_secure>
+```
+
+
+## tcp&#95;ssh&#95;port {#tcp_ssh_port}
+
+SSH サーバー用のポートです。ユーザーは、このポートを利用して接続し、PTY 上の組み込みクライアントを使って対話的にクエリを実行できます。
+
+例:
+
+```xml
+<tcp_ssh_port>9022</tcp_ssh_port>
+```
+
+
+## temporary&#95;data&#95;in&#95;cache {#temporary_data_in_cache}
+
+このオプションを使用すると、一時データは特定のディスクに対応するキャッシュ内に保存されます。
+このセクションでは、タイプが `cache` のディスク名を指定する必要があります。
+その場合、キャッシュと一時データは同じ領域を共有し、一時データを作成するためにディスクキャッシュが追い出されることがあります。
+
+:::note
+一時データの保存を構成する際に使用できるオプションは、`tmp_path`、`tmp_policy`、`temporary_data_in_cache` のいずれか 1 つだけです。
+:::
+
+**例**
+
+`local_disk` 用のキャッシュと一時データの両方が、ファイルシステム上の `/tiny_local_cache` に保存され、`tiny_local_cache` によって管理されます。
+
+```xml
+<clickhouse>
+<storage_configuration>
+<disks>
+<local_disk>
+<type>local</type>
+<path>/local_disk/</path>
+</local_disk>
+
+<!-- highlight-start -->
+<tiny_local_cache>
+<type>cache</type>
+<disk>local_disk</disk>
+<path>/tiny_local_cache/</path>
+<max_size_rows>10M</max_size_rows>
+<max_file_segment_size>1M</max_file_segment_size>
+<cache_on_write_operations>1</cache_on_write_operations>
+</tiny_local_cache>
+<!-- highlight-end -->
+</disks>
+</storage_configuration>
+
+<!-- highlight-start -->
+<temporary_data_in_cache>tiny_local_cache</temporary_data_in_cache>
+<!-- highlight-end -->
+</clickhouse>
+```
+
+
+## temporary_data_in_distributed_cache {#temporary_data_in_distributed_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />一時データを分散キャッシュに保存するかどうかを制御します。
+
+## text_index_dictionary_block_cache_max_entries {#text_index_dictionary_block_cache_max_entries} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />テキスト索引用Dictionaryブロックのキャッシュサイズ（エントリ数）。0 を指定すると無効になります。
+
+## テキスト索引 Dictionary ブロックキャッシュポリシー {#text_index_dictionary_block_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />テキスト索引 Dictionary のブロックキャッシュポリシー名。
+
+## text_index_dictionary_block_cache_size {#text_index_dictionary_block_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />テキスト索引用のDictionaryブロックキャッシュのサイズです。0 に設定すると無効になります。
+
+:::note
+この設定は実行時に変更でき、即座に有効になります。
+:::
+
+## text_index_dictionary_block_cache_size_ratio {#text_index_dictionary_block_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />テキスト索引 Dictionary のブロックキャッシュにおける、保護キュー（SLRU ポリシーの場合）のサイズを、キャッシュ全体サイズに対する比率で指定します。
+
+## text_index_header_cache_max_entries {#text_index_header_cache_max_entries} 
+
+<SettingsInfoBlock type="UInt64" default_value="100000" />テキスト索引ヘッダー用キャッシュのサイズ（エントリ数）。0 の場合はキャッシュは無効になります。
+
+## text_index_header_cache_policy {#text_index_header_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />テキスト索引ヘッダーのキャッシュポリシー名。
+
+## text_index_header_cache_size {#text_index_header_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />テキストインデックスヘッダー用キャッシュのサイズ。0 の場合は無効になります。
+
+:::note
+この設定は実行時に変更可能で、即座に反映されます。
+:::
+
+## text_index_header_cache_size_ratio {#text_index_header_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />テキストインデックスヘッダーキャッシュにおいて、SLRU ポリシー使用時の保護キューのサイズを、キャッシュ全体サイズに対する比率で指定します。
+
+## text_index_postings_cache_max_entries {#text_index_postings_cache_max_entries} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />テキストインデックスのポスティングリスト用キャッシュのサイズ（エントリ数）。0 の場合は無効です。
+
+## text_index_postings_cache_policy {#text_index_postings_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />テキスト索引のポスティングリストキャッシュポリシーの名前です。
+
+## text_index_postings_cache_size {#text_index_postings_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="2147483648" />テキストインデックスのポスティングリスト用キャッシュのサイズです。0 の場合は無効になります。
+
+:::note
+この設定は実行時に変更でき、直ちに反映されます。
+:::
+
+## text_index_postings_cache_size_ratio {#text_index_postings_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />テキストインデックスのポスティングリストキャッシュにおいて、SLRU ポリシーを使用する場合の保護キューのサイズを、キャッシュ全体のサイズに対する比率で指定します。
+
+## text&#95;log {#text_log}
+
+テキストメッセージをログに記録するための [text&#95;log](/operations/system-tables/text_log) システムテーブルの設定です。
+
+<SystemLogParameters />
+
+加えて、次の設定があります：
+
+| 設定項目    | 説明                                           | デフォルト値  |
+| ------- | -------------------------------------------- | ------- |
+| `level` | テーブルに保存されるメッセージの最大レベル（デフォルトは `Trace`）を指定します。 | `Trace` |
+
+**例**
+
+```xml
+<clickhouse>
+    <text_log>
+        <level>notice</level>
+        <database>system</database>
+        <table>text_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <max_size_rows>1048576</max_size_rows>
+        <reserved_size_rows>8192</reserved_size_rows>
+        <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+        <flush_on_crash>false</flush_on_crash>
+        <!-- <partition_by>event_date</partition_by> -->
+        <engine>Engine = MergeTree PARTITION BY event_date ORDER BY event_time TTL event_date + INTERVAL 30 day</engine>
+    </text_log>
+</clickhouse>
+```
+
+
+## thread&#95;pool&#95;queue&#95;size {#thread_pool_queue_size}
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+グローバルスレッドプールにスケジュールできるジョブの最大数です。キューサイズを増やすとメモリ使用量が増加します。この値は [`max_thread_pool_size`](/operations/server-configuration-parameters/settings#max_thread_pool_size) と同じにすることを推奨します。
+
+:::note
+`0` を指定すると無制限になります。
+:::
+
+**例**
+
+```xml
+<thread_pool_queue_size>12000</thread_pool_queue_size>
+```
+
+
+## threadpool_local_fs_reader_pool_size {#threadpool_local_fs_reader_pool_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="100" />`local_filesystem_read_method = 'pread_threadpool'` の場合に、ローカルファイルシステムからの読み取りに使用するスレッドプールのスレッド数。
+
+## threadpool_local_fs_reader_queue_size {#threadpool_local_fs_reader_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />ローカルファイルシステムからの読み取りを行うスレッドプールに対してスケジュール可能なジョブの最大数。
+
+## threadpool_remote_fs_reader_pool_size {#threadpool_remote_fs_reader_pool_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="250" />`remote_filesystem_read_method = 'threadpool'` の場合に、リモートファイルシステムからの読み取りに使用されるスレッドプールのスレッド数。
+
+## threadpool_remote_fs_reader_queue_size {#threadpool_remote_fs_reader_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />リモートファイルシステムの読み取りを行うためにスレッドプール上でスケジュール可能なジョブの最大数。
+
+## threadpool_writer_pool_size {#threadpool_writer_pool_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="100" />オブジェクトストレージへの書き込みリクエストを処理するバックグラウンドプールのサイズ
+
+## threadpool_writer_queue_size {#threadpool_writer_queue_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />オブジェクトストレージへの書き込みリクエスト用にバックグラウンドプールへ投入できるタスクの最大数
+
+## throw&#95;on&#95;unknown&#95;workload {#throw_on_unknown_workload}
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+クエリ SETTING `workload` で参照される不明な WORKLOAD へのアクセス時の挙動を定義します。
+
+* `true` の場合、不明な WORKLOAD へアクセスしようとしたクエリから RESOURCE&#95;ACCESS&#95;DENIED 例外がスローされます。WORKLOAD の階層が確立され、WORKLOAD default を含むようになった後に、すべてのクエリに対してリソーススケジューリングを強制するのに有用です。
+* `false`（デフォルト）の場合、不明な WORKLOAD を指す `workload` SETTING を持つクエリには、リソーススケジューリングなしで無制限のアクセスが許可されます。これは、WORKLOAD 階層を構成している段階で、WORKLOAD default が追加される前に重要です。
+
+**Example**
+
+```xml
+<throw_on_unknown_workload>true</throw_on_unknown_workload>
+```
+
+**関連項目**
+
+* [ワークロードのスケジューリング](/operations/workload-scheduling.md)
+
+
+## timezone {#timezone}
+
+サーバーのタイムゾーン。
+
+UTC または地理的な場所を表す IANA タイムゾーン識別子として指定します（例: Africa/Abidjan）。
+
+タイムゾーンは、DateTime 型フィールドをテキスト形式（画面表示やファイル出力）に変換する際や、文字列から DateTime を取得する際に、String と DateTime の形式を相互変換するために必要です。また、入力パラメータとしてタイムゾーンを受け取らない日付や時刻を扱う関数でも、タイムゾーンが使用されます。
+
+**例**
+
+```xml
+<timezone>Asia/Istanbul</timezone>
+```
+
+**関連項目**
+
+* [session&#95;timezone](../settings/settings.md#session_timezone)
+
+
+## tmp&#95;path {#tmp_path}
+
+大規模なクエリを処理するための一時データを保存する、ローカルファイルシステム上のパス。
+
+:::note
+
+* 一時データの保存方法を構成するために指定できるオプションは、`tmp_path`、`tmp_policy`、`temporary_data_in_cache` のいずれか 1 つのみです。
+* パスの末尾のスラッシュは必須です。
+  :::
+
+**例**
+
+```xml
+<tmp_path>/var/lib/clickhouse/tmp/</tmp_path>
+```
+
+
+## tmp&#95;policy {#tmp_policy}
+
+一時データ用ストレージのポリシーです。`tmp` プレフィックスを持つすべてのファイルは起動時に削除されます。
+
+:::note
+`tmp_policy` としてオブジェクトストレージを使用する際の推奨事項:
+
+* 各サーバーごとに別々の `bucket:path` を使用する
+* `metadata_type=plain` を使用する
+* このバケットに対して有効期限 (TTL) を設定することも検討してください
+  :::
+
+:::note
+
+* 一時データストレージを構成するために使用できるオプションは `tmp_path`、`tmp_policy`、`temporary_data_in_cache` のいずれか 1 つだけです。
+* `move_factor`、`keep_free_space_bytes`、`max_data_part_size_bytes` は無視されます。
+* ポリシーはボリュームを *ちょうど 1 つだけ* 持つ必要があります。
+
+詳細については [MergeTree テーブルエンジン](/engines/table-engines/mergetree-family/mergetree) のドキュメントを参照してください。
+:::
+
+**例**
+
+`/disk1` が満杯になった場合、一時データは `/disk2` に保存されます。
+
+```xml
+<clickhouse>
+<storage_configuration>
+<disks>
+<disk1>
+<path>/disk1/</path>
+</disk1>
+<disk2>
+<path>/disk2/</path>
+</disk2>
+</disks>
+
+<policies>
+<!-- highlight-start -->
+<tmp_two_disks>
+<volumes>
+<main>
+<disk>disk1</disk>
+<disk>disk2</disk>
+</main>
+</volumes>
+</tmp_two_disks>
+<!-- highlight-end -->
+</policies>
+</storage_configuration>
+
+<!-- highlight-start -->
+<tmp_policy>tmp_two_disks</tmp_policy>
+<!-- highlight-end -->
+</clickhouse>
+```
+
+
+## top&#95;level&#95;domains&#95;list {#top_level_domains_list}
+
+追加するカスタムトップレベルドメインのリストを定義します。各エントリは `<name>/path/to/file</name>` という形式です。
+
+例えば:
+
+```xml
+<top_level_domains_lists>
+    <public_suffix_list>/path/to/public_suffix_list.dat</public_suffix_list>
+</top_level_domains_lists>
+```
+
+こちらも参照してください:
+
+* 関数 [`cutToFirstSignificantSubdomainCustom`](../../sql-reference/functions/url-functions.md/#cutToFirstSignificantSubdomainCustom) およびそのバリエーション。
+  これらはカスタム TLD リスト名を引数に取り、トップレベルドメインから最初の有意なサブドメインまでを含むドメイン部分を返します。
+
+
+## total_memory_profiler_sample_max_allocation_size {#total_memory_profiler_sample_max_allocation_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />`total_memory_profiler_sample_probability` に等しい確率で、サイズが指定値以下のメモリアロケーションをランダムに収集します。0 は無効を意味します。このしきい値が期待どおりに機能するようにするには、`max_untracked_memory` を 0 に設定することを検討してください。
+
+## total_memory_profiler_sample_min_allocation_size {#total_memory_profiler_sample_min_allocation_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />`total_memory_profiler_sample_probability` と同じ確率で、指定した値以上のサイズのランダムなメモリアロケーションを収集します。0 は無効を意味します。このしきい値を想定どおりに機能させるには、`max_untracked_memory` を 0 に設定することを推奨します。
+
+## total_memory_profiler_step {#total_memory_profiler_step} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />サーバーのメモリ使用量が、指定したステップごとのバイト数しきい値を超えるたびに、メモリプロファイラは割り当て元のスタックトレースを収集します。0 はメモリプロファイラが無効であることを意味します。数メガバイト未満の値を指定すると、サーバーの動作が遅くなります。
+
+## total_memory_tracker_sample_probability {#total_memory_tracker_sample_probability} 
+
+<SettingsInfoBlock type="Double" default_value="0" />
+
+ランダムなメモリアロケーションおよび解放を収集し、指定した確率で `trace_type` が `MemorySample` のレコードとして [system.trace_log](../../operations/system-tables/trace_log.md) システムテーブルに書き込みます。この確率は、アロケーションまたは解放 1 回ごとに適用され、アロケーションサイズには依存しません。サンプリングは、未追跡メモリ量が未追跡メモリの上限（デフォルト値は `4` MiB）を超えた場合にのみ行われることに注意してください。[total_memory_profiler_step](/operations/server-configuration-parameters/settings#total_memory_profiler_step) を小さくすると、この上限も小さくできます。より細かい粒度でサンプリングするには、`total_memory_profiler_step` を `1` に設定できます。
+
+可能な値:
+
+- 正の倍精度浮動小数点数。
+- `0` — ランダムなアロケーションおよび解放を `system.trace_log` システムテーブルに書き込む処理を無効にします。
+
+## trace&#95;log {#trace_log}
+
+[trace&#95;log](/operations/system-tables/trace_log) システムテーブルの動作に関する設定です。
+
+<SystemLogParameters />
+
+デフォルトのサーバー設定ファイル `config.xml` には、次の設定セクションが含まれています。
+
+```xml
+<trace_log>
+    <database>system</database>
+    <table>trace_log</table>
+    <partition_by>toYYYYMM(event_date)</partition_by>
+    <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+    <max_size_rows>1048576</max_size_rows>
+    <reserved_size_rows>8192</reserved_size_rows>
+    <buffer_size_rows_flush_threshold>524288</buffer_size_rows_flush_threshold>
+    <flush_on_crash>false</flush_on_crash>
+    <symbolize>false</symbolize>
+</trace_log>
+```
+
+
+## uncompressed_cache_policy {#uncompressed_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />非圧縮キャッシュポリシーの名前。
+
+## uncompressed_cache_size {#uncompressed_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+MergeTree ファミリーのテーブルエンジンで使用される非圧縮データの最大サイズ（バイト単位）。
+
+サーバー全体で 1 つの共有キャッシュがあります。メモリは要求に応じて割り当てられます。オプション `use_uncompressed_cache` が有効な場合にキャッシュが使用されます。
+
+非圧縮キャッシュは、特にごく短時間で完了するクエリに有効です。
+
+:::note
+値が `0` の場合は無効であることを意味します。
+
+この設定は実行時に変更でき、即座に反映されます。
+:::
+
+## uncompressed_cache_size_ratio {#uncompressed_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />非圧縮キャッシュにおける保護キューのサイズを、キャッシュ全体のサイズに対する比率で指定します（SLRU ポリシーの場合）。
+
+## url&#95;scheme&#95;mappers {#url_scheme_mappers}
+
+短縮またはシンボリックな URL プレフィックスを完全な URL へマッピングするための設定。
+
+例：
+
+```xml
+<url_scheme_mappers>
+    <s3>
+        <to>https://{bucket}.s3.amazonaws.com</to>
+    </s3>
+    <gs>
+        <to>https://storage.googleapis.com/{bucket}</to>
+    </gs>
+    <oss>
+        <to>https://{bucket}.oss.aliyuncs.com</to>
+    </oss>
+</url_scheme_mappers>
+```
+
+
+## use_minimalistic_part_header_in_zookeeper {#use_minimalistic_part_header_in_zookeeper} 
+
+ZooKeeper におけるデータパーツヘッダーの保存方法を制御します。この設定は [`MergeTree`](/engines/table-engines/mergetree-family) ファミリーにのみ適用されます。次の場所で指定できます。
+
+**`config.xml` ファイルの [merge_tree](#merge_tree) セクションでグローバルに指定する場合**
+
+ClickHouse はサーバー上のすべてのテーブルに対してこの設定を使用します。設定はいつでも変更できます。既存のテーブルも、設定が変更されるとその挙動が変わります。
+
+**テーブルごとに指定する場合**
+
+テーブルを作成する際に、対応する [engine setting](../../engines/table-engines/mergetree-family/mergetree.md#table_engine-mergetree-creating-a-table) を指定します。この設定をテーブルに個別指定した場合、そのテーブルの挙動は、グローバル設定が変わっても変化しません。
+
+**設定可能な値**
+
+- `0` — 機能を無効にします。
+- `1` — 機能を有効にします。
+
+[`use_minimalistic_part_header_in_zookeeper = 1`](#use_minimalistic_part_header_in_zookeeper) の場合、[replicated](../../engines/table-engines/mergetree-family/replication.md) テーブルは、データパーツのヘッダーを 1 つの `znode` を用いてコンパクトに保存します。テーブルに多くのカラムが含まれている場合、この保存方式により ZooKeeper に保存されるデータ量を大幅に削減できます。
+
+:::note
+`use_minimalistic_part_header_in_zookeeper = 1` を適用した後は、この設定をサポートしていないバージョンの ClickHouse サーバーへダウングレードできません。クラスタ内のサーバーで ClickHouse をアップグレードする際は注意してください。すべてのサーバーを一度にアップグレードしないでください。ClickHouse の新バージョンは、テスト環境、またはクラスタ内の一部のサーバーで試験する方が安全です。
+
+この設定で既に保存されたデータパーツヘッダーは、以前の（非コンパクトな）表現に戻すことはできません。
+:::
+
+## user&#95;defined&#95;executable&#95;functions&#95;config {#user_defined_executable_functions_config}
+
+実行可能なユーザー定義関数用の設定ファイルへのパスです。
+
+パス:
+
+* 絶対パス、またはサーバーの設定ファイルからの相対パスを指定します。
+* パスにはワイルドカードの * や ? を含めることができます。
+
+参照:
+
+* 「[Executable User Defined Functions](/sql-reference/functions/udf#executable-user-defined-functions)」。
+
+**例**
+
+```xml
+<user_defined_executable_functions_config>*_function.xml</user_defined_executable_functions_config>
+```
+
+
+## user&#95;defined&#95;path {#user_defined_path}
+
+ユーザー定義のファイルを格納するディレクトリです。SQL のユーザー定義関数で使用されます。詳しくは [SQL User Defined Functions](/sql-reference/functions/udf) を参照してください。
+
+**例**
+
+```xml
+<user_defined_path>/var/lib/clickhouse/user_defined/</user_defined_path>
+```
+
+
+## user&#95;directories {#user_directories}
+
+以下の設定を含む設定ファイルのセクションです:
+
+* 事前定義されたユーザーを記述した設定ファイルへのパス。
+* SQL コマンドで作成されたユーザーが保存されるフォルダへのパス。
+* SQL コマンドで作成されたユーザーが保存およびレプリケートされる ZooKeeper ノードパス。
+
+このセクションが指定されている場合、[users&#95;config](/operations/server-configuration-parameters/settings#users_config) と [access&#95;control&#95;path](../../operations/server-configuration-parameters/settings.md#access_control_path) からのパスは使用されません。
+
+`user_directories` セクションには任意の数の項目を含めることができ、項目の順序は優先順位を意味します（上にある項目ほど優先順位が高くなります）。
+
+**例**
+
+```xml
+<user_directories>
+    <users_xml>
+        <path>/etc/clickhouse-server/users.xml</path>
+    </users_xml>
+    <local_directory>
+        <path>/var/lib/clickhouse/access/</path>
+    </local_directory>
+</user_directories>
+```
+
+ユーザー、ロール、行ポリシー、QUOTA、およびプロファイルは ZooKeeper に格納することもできます：
+
+```xml
+<user_directories>
+    <users_xml>
+        <path>/etc/clickhouse-server/users.xml</path>
+    </users_xml>
+    <replicated>
+        <zookeeper_path>/clickhouse/access/</zookeeper_path>
+    </replicated>
+</user_directories>
+```
+
+`memory` セクションおよび `ldap` セクションを定義することもできます。`memory` は情報をディスクに書き込まずメモリ内のみに保存することを意味し、`ldap` は情報を LDAP サーバー上に保存することを意味します。
+
+ローカルに定義されていないユーザーのリモートユーザーディレクトリとして LDAP サーバーを追加するには、次の設定を持つ 1 つの `ldap` セクションを定義します:
+
+| Setting  | Description                                                                                                                                                         |
+| -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `server` | `ldap_servers` 設定セクションで定義された LDAP サーバー名のいずれか。このパラメータは必須で、空にはできません。                                                                                                  |
+| `roles`  | LDAP サーバーから取得された各ユーザーに割り当てられる、ローカルに定義されたロールの一覧を持つセクション。ロールが指定されていない場合、ユーザーは認証後にいかなる操作も実行できません。列挙されたロールのいずれかが認証時点でローカルに定義されていない場合、指定されたパスワードが誤っている場合と同様に、認証試行は失敗します。 |
+
+**例**
+
+```xml
+<ldap>
+    <server>my_ldap_server</server>
+        <roles>
+            <my_local_role1 />
+            <my_local_role2 />
+        </roles>
+</ldap>
+```
+
+
+## user&#95;files&#95;path {#user_files_path}
+
+ユーザーファイルを格納するディレクトリです。テーブル関数 [file()](../../sql-reference/table-functions/file.md)、[fileCluster()](../../sql-reference/table-functions/fileCluster.md) で使用されます。
+
+**例**
+
+```xml
+<user_files_path>/var/lib/clickhouse/user_files/</user_files_path>
+```
+
+
+## user&#95;scripts&#95;path {#user_scripts_path}
+
+ユーザースクリプトファイルを格納するディレクトリです。Executable ユーザー定義関数で使用されます。詳細は [Executable User Defined Functions](/sql-reference/functions/udf#executable-user-defined-functions) を参照してください。
+
+**例**
+
+```xml
+<user_scripts_path>/var/lib/clickhouse/user_scripts/</user_scripts_path>
+```
+
+型:
+
+デフォルト値:
+
+
+## users&#95;config {#users_config}
+
+次の内容を含むファイルへのパスです：
+
+* ユーザー設定
+* アクセス権限
+* 設定プロファイル
+* クォータ設定
+
+**例**
+
+```xml
+<users_config>users.xml</users_config>
+```
+
+
+## validate&#95;tcp&#95;client&#95;information {#validate_tcp_client_information}
+
+<SettingsInfoBlock type="Bool" default_value="0" />クエリパケットを受信した際にクライアント情報の検証を有効にするかどうかを制御します。
+
+デフォルトでは `false` です：
+
+```xml
+<validate_tcp_client_information>false</validate_tcp_client_information>
+```
+
+
+## vector_similarity_index_cache_max_entries {#vector_similarity_index_cache_max_entries} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000000" />ベクトル類似度索引用キャッシュのサイズ（エントリ数）。設定値が 0 の場合は無効になります。
+
+## vector_similarity_index_cache_policy {#vector_similarity_index_cache_policy} 
+
+<SettingsInfoBlock type="String" default_value="SLRU" />ベクトル類似度索引キャッシュポリシーの名前。
+
+## vector_similarity_index_cache_size {#vector_similarity_index_cache_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="5368709120" />ベクトル類似性索引用キャッシュのサイズです。0 を指定すると無効になります。
+
+:::note
+この設定は実行時に変更可能で、直ちに反映されます。
+:::
+
+## vector_similarity_index_cache_size_ratio {#vector_similarity_index_cache_size_ratio} 
+
+<SettingsInfoBlock type="Double" default_value="0.5" />ベクトル類似度索引キャッシュにおける（SLRU ポリシーの場合の）保護キューのサイズが、キャッシュ全体サイズに対して占める割合を表します。
+
+## wait&#95;dictionaries&#95;load&#95;at&#95;startup {#wait_dictionaries_load_at_startup}
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+この設定は、`dictionaries_lazy_load` が `false` の場合の動作を指定します。
+（`dictionaries_lazy_load` が `true` の場合、この設定は何の影響も与えません。）
+
+`wait_dictionaries_load_at_startup` が `false` の場合、サーバーは起動時にすべての Dictionary の読み込みを開始し、その読み込みと並行して接続を受け付けます。
+ある Dictionary がクエリ内で初めて使用されるとき、その Dictionary がまだ読み込まれていない場合は、クエリはその Dictionary の読み込みが完了するまで待機します。
+`wait_dictionaries_load_at_startup` を `false` に設定すると、ClickHouse の起動を高速化できますが、一部のクエリの実行が遅くなる可能性があります
+（いくつかの Dictionary の読み込み完了を待つ必要があるため）。
+
+`wait_dictionaries_load_at_startup` が `true` の場合、サーバーは起動時に、すべての Dictionary の読み込み（成功・失敗を問わず）が完了するまで待機し、その後で接続の受け付けを開始します。
+
+**例**
+
+```xml
+<wait_dictionaries_load_at_startup>true</wait_dictionaries_load_at_startup>
+```
+
+
+## workload&#95;path {#workload_path}
+
+すべての `CREATE WORKLOAD` および `CREATE RESOURCE` クエリの保存先として使用されるディレクトリです。デフォルトでは、サーバーのワーキングディレクトリ配下の `/workload/` フォルダが使用されます。
+
+**例**
+
+```xml
+<workload_path>/var/lib/clickhouse/workload/</workload_path>
+```
+
+**関連項目**
+
+* [ワークロード階層](/operations/workload-scheduling.md#workloads)
+* [workload&#95;zookeeper&#95;path](#workload_zookeeper_path)
+
+
+## workload&#95;zookeeper&#95;path {#workload_zookeeper_path}
+
+ZooKeeper ノードへのパスです。すべての `CREATE WORKLOAD` および `CREATE RESOURCE` クエリのストレージとして使用されます。整合性を保つため、すべての SQL 定義は 1 つの znode の値として保存されます。デフォルトでは ZooKeeper は使用されず、定義は [ディスク](#workload_path) 上に保存されます。
+
+**例**
+
+```xml
+<workload_zookeeper_path>/clickhouse/workload/definitions.sql</workload_zookeeper_path>
+```
+
+**関連項目**
+
+* [Workload Hierarchy](/operations/workload-scheduling.md#workloads)
+* [workload&#95;path](#workload_path)
+
+
+## zookeeper {#zookeeper}
+
+ClickHouse が [ZooKeeper](http://zookeeper.apache.org/) クラスターと連携するための設定を含みます。ClickHouse は、レプリケーテッドテーブルを使用する場合に、レプリカのメタデータを保存するために ZooKeeper を使用します。レプリケーテッドテーブルを使用しない場合、このセクションのパラメータは省略できます。
+
+以下の設定はサブタグで指定できます:
+
+| Setting                                    | Description                                                                                                                                                    |
+| ------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `node`                                     | ZooKeeper エンドポイント。複数のエンドポイントを設定できます。例: `<node index="1"><host>example_host</host><port>2181</port></node>`。`index` 属性は、ZooKeeper クラスターへの接続を試行する際のノードの順序を指定します。 |
+| `session_timeout_ms`                       | クライアントセッションの最大タイムアウト時間 (ミリ秒)。                                                                                                                                  |
+| `operation_timeout_ms`                     | 1 つの操作の最大タイムアウト時間 (ミリ秒)。                                                                                                                                       |
+| `root` (optional)                          | ClickHouse サーバーが使用する znode のルートとして使用される znode。                                                                                                                 |
+| `fallback_session_lifetime.min` (optional) | プライマリが利用できない場合にフォールバックノードへの ZooKeeper セッション存続時間の最小制限 (ロードバランシング)。秒単位で指定。デフォルト: 3 時間。                                                                           |
+| `fallback_session_lifetime.max` (optional) | プライマリが利用できない場合にフォールバックノードへの ZooKeeper セッション存続時間の最大制限 (ロードバランシング)。秒単位で指定。デフォルト: 6 時間。                                                                           |
+| `identity` (optional)                      | 要求された znode にアクセスするために ZooKeeper によって要求されるユーザー名とパスワード。                                                                                                         |
+| `use_compression` (optional)               | `true` に設定すると Keeper プロトコルで圧縮を有効にします。                                                                                                                          |
+
+また、ZooKeeper ノードの選択アルゴリズムを指定できる `zookeeper_load_balancing` 設定 (任意) もあります:
+
+| Algorithm Name                  | Description                                                            |
+| ------------------------------- | ---------------------------------------------------------------------- |
+| `random`                        | ZooKeeper ノードのうち 1 つをランダムに選択します。                                       |
+| `in_order`                      | 最初の ZooKeeper ノードを選択し、それが利用できない場合は 2 番目、その次という順に選択します。                 |
+| `nearest_hostname`              | サーバーのホスト名と最も類似したホスト名を持つ ZooKeeper ノードを選択します。ホスト名は名前の接頭辞で比較されます。        |
+| `hostname_levenshtein_distance` | `nearest_hostname` と同様ですが、ホスト名をレーベンシュタイン距離で比較します。                      |
+| `first_or_random`               | 最初の ZooKeeper ノードを選択し、それが利用できない場合は残りの ZooKeeper ノードのうち 1 つをランダムに選択します。 |
+| `round_robin`                   | 最初の ZooKeeper ノードを選択し、再接続が発生した場合は次のノードを選択します。                          |
+
+**設定例**
+
+```xml
+<zookeeper>
+    <node>
+        <host>example1</host>
+        <port>2181</port>
+    </node>
+    <node>
+        <host>example2</host>
+        <port>2181</port>
+    </node>
+    <session_timeout_ms>30000</session_timeout_ms>
+    <operation_timeout_ms>10000</operation_timeout_ms>
+    <!-- オプション。Chroot サフィックス。存在している必要があります。 -->
+    <root>/path/to/zookeeper/node</root>
+    <!-- オプション。Zookeeper ダイジェスト ACL 文字列。 -->
+    <identity>user:password</identity>
+    <!--<zookeeper_load_balancing>random / in_order / nearest_hostname / hostname_levenshtein_distance / first_or_random / round_robin</zookeeper_load_balancing>-->
+    <zookeeper_load_balancing>random</zookeeper_load_balancing>
+</zookeeper>
+```
+
+**関連項目**
+
+* [レプリケーション](../../engines/table-engines/mergetree-family/replication.md)
+* [ZooKeeper Programmer&#39;s Guide](http://zookeeper.apache.org/doc/current/zookeeperProgrammers.html)
+* [ClickHouse と ZooKeeper 間のオプションのセキュア通信](/operations/ssl-zookeeper)
+
+
+## zookeeper&#95;log {#zookeeper_log}
+
+[`zookeeper_log`](/operations/system-tables/zookeeper_log) システムテーブルに関する設定です。
+
+以下の設定は、サブタグごとに構成できます:
+
+<SystemLogParameters />
+
+**例**
+
+```xml
+<clickhouse>
+    <zookeeper_log>
+        <database>system</database>
+        <table>zookeeper_log</table>
+        <flush_interval_milliseconds>7500</flush_interval_milliseconds>
+        <ttl>event_date + INTERVAL 1 WEEK DELETE</ttl>
+    </zookeeper_log>
+</clickhouse>
+```
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/operations/settings/merge-tree-settings.md b/i18n/jp/docusaurus-plugin-content-docs/current/operations/settings/merge-tree-settings.md
new file mode 100644
index 00000000000..98750e94558
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/operations/settings/merge-tree-settings.md
@@ -0,0 +1,3066 @@
+---
+description: '`system.merge_tree_settings` に含まれる MergeTree の設定'
+slug: /operations/settings/merge-tree-settings
+title: 'MergeTree テーブルの設定'
+doc_type: 'reference'
+---
+
+import ExperimentalBadge from '@theme/badges/ExperimentalBadge';
+import BetaBadge from '@theme/badges/BetaBadge';
+import SettingsInfoBlock from '@theme/SettingsInfoBlock/SettingsInfoBlock';
+import VersionHistory from '@theme/VersionHistory/VersionHistory';
+
+システムテーブル `system.merge_tree_settings` には、グローバルに設定されている MergeTree の設定が表示されます。
+
+MergeTree の設定は、サーバー設定ファイルの `merge_tree` セクションで設定するか、`CREATE TABLE` 文の `SETTINGS` 句で個々の `MergeTree` テーブルごとに指定できます。
+
+設定 `max_suspicious_broken_parts` をカスタマイズする例:
+
+すべての `MergeTree` テーブルに対するデフォルト値をサーバー設定ファイルで設定します:
+
+```text
+<merge_tree>
+    <max_suspicious_broken_parts>5</max_suspicious_broken_parts>
+</merge_tree>
+```
+
+特定のテーブル用の設定:
+
+```sql
+CREATE TABLE tab
+(
+    `A` Int64
+)
+ENGINE = MergeTree
+ORDER BY tuple()
+SETTINGS max_suspicious_broken_parts = 500;
+```
+
+特定のテーブルの設定は `ALTER TABLE ... MODIFY SETTING` を使用して変更します。
+
+```sql
+ALTER TABLE tab MODIFY SETTING max_suspicious_broken_parts = 100;
+
+-- グローバルデフォルトにリセット（system.merge_tree_settings の値）
+ALTER TABLE tab RESET SETTING max_suspicious_broken_parts;
+```
+
+
+## MergeTree の設定 {#mergetree-settings}
+
+{/* 以下の設定は、次のスクリプトによって自動生成されたものです
+  https://github.com/ClickHouse/clickhouse-docs/blob/main/scripts/settings/autogenerate-settings.sh
+  */ }
+
+
+## adaptive_write_buffer_initial_size {#adaptive_write_buffer_initial_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="16384" />
+
+アダプティブな書き込みバッファの初期サイズ
+
+## add_implicit_sign_column_constraint_for_collapsing_engine {#add_implicit_sign_column_constraint_for_collapsing_engine} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+true の場合は、CollapsingMergeTree または VersionedCollapsingMergeTree テーブルの `sign` カラムに対して暗黙の制約を追加し、有効な値（`1` と `-1`）のみを許可します。
+
+## add_minmax_index_for_numeric_columns {#add_minmax_index_for_numeric_columns} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+有効にすると、テーブル内のすべての数値カラムに min-max（スキップ）索引が追加されます。
+
+## add_minmax_index_for_string_columns {#add_minmax_index_for_string_columns} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+有効にすると、テーブル内のすべての文字列カラムに対して、min-max（スキップ）型の索引が追加されます。
+
+## allow_coalescing_columns_in_partition_or_order_key {#allow_coalescing_columns_in_partition_or_order_key} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.6"},{"label": "0"},{"label": "パーティションキーまたはソートキーで coalescing カラムを使用できるようにする新しい設定。"}]}]}/>
+
+有効にすると、CoalescingMergeTree テーブル内の coalescing カラムをパーティションキーまたはソートキーとして使用できるようになります。
+
+## allow_experimental_replacing_merge_with_cleanup {#allow_experimental_replacing_merge_with_cleanup} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+`is_deleted` カラムを持つ ReplacingMergeTree に対して、実験的な CLEANUP マージを許可します。有効にすると、`OPTIMIZE ... FINAL CLEANUP` を使用して、パーティション内のすべてのパーツを 1 つのパーツに手動でマージし、削除済みの行をすべて削除できるようになります。
+
+また、`min_age_to_force_merge_seconds`、`min_age_to_force_merge_on_partition_only`、`enable_replacing_merge_with_cleanup_for_min_age_to_force_merge` の各設定により、バックグラウンドでこの種のマージを自動的に実行できるようにもなります。
+
+## allow&#95;experimental&#95;reverse&#95;key {#allow_experimental_reverse_key}
+
+<ExperimentalBadge />
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "24.12"},{"label": "0"},{"label": "New setting"}]}]} />
+
+MergeTree のソートキーにおいて降順の並び順をサポートします。
+この設定は、時系列分析や Top-N クエリで特に有用であり、クエリ性能を最適化するためにデータを逆時系列で保存できるようにします。
+
+`allow_experimental_reverse_key` を有効にすると、MergeTree テーブルの `ORDER BY` 句の中で降順の並び順を定義できます。これにより、降順のクエリに対して `ReadInReverseOrder` ではなく、より効率的な `ReadInOrder` 最適化を利用できるようになります。
+
+**例**
+
+```sql
+CREATE TABLE example
+(
+time DateTime,
+key Int32,
+value String
+) ENGINE = MergeTree
+ORDER BY (time DESC, key)  -- time フィールドを降順でソート
+SETTINGS allow_experimental_reverse_key = 1;
+
+SELECT * FROM example WHERE key = 'xxx' ORDER BY time DESC LIMIT 10;
+```
+
+クエリに `ORDER BY time DESC` を指定すると、`ReadInOrder` が適用されます。
+
+**デフォルト値:** false
+
+
+## allow_floating_point_partition_key {#allow_floating_point_partition_key} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+パーティションキーとして浮動小数点数を使用できるようにします。
+
+取り得る値:
+
+- `0` — 浮動小数点のパーティションキーは許可されません。
+- `1` — 浮動小数点のパーティションキーは許可されます。
+
+## allow_nullable_key {#allow_nullable_key} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+Nullable 型を主キーとして許可します。
+
+## allow_part_offset_column_in_projections {#allow_part_offset_column_in_projections} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "1"},{"label": "プロジェクションで _part_offset カラムを使用できるようになりました。"}]}, {"id": "row-2","items": [{"label": "25.5"},{"label": "0"},{"label": "新しい設定です。安定するまで、親パーツの _part_offset カラムを使用するプロジェクションの作成を防ぎます。"}]}]}/>
+
+プロジェクションに対する SELECT クエリで '_part_offset' カラムの使用を許可します。
+
+## allow_reduce_blocking_parts_task {#allow_reduce_blocking_parts_task} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "1"},{"label": "現在 SMT は既定で ZooKeeper から古いブロッキングパーツを削除します"}]}, {"id": "row-2","items": [{"label": "25.1"},{"label": "0"},{"label": "Cloud 同期"}]}]}/>
+
+共有 MergeTree テーブルのブロッキングパーツを減らすバックグラウンドタスクです。
+ClickHouse Cloud でのみ利用可能です。
+
+## allow_remote_fs_zero_copy_replication {#allow_remote_fs_zero_copy_replication} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+この設定はまだ安定していないため、本番環境では使用しないでください。
+
+## allow_summing_columns_in_partition_or_order_key {#allow_summing_columns_in_partition_or_order_key} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": "0"},{"label": "SummingMergeTree テーブルの集計カラムをパーティションキーまたはソートキーに使用可能にする新しい設定"}]}]}/>
+
+有効にすると、SummingMergeTree テーブル内の集計カラムをパーティションキーまたはソートキーとして使用できるようになります。
+
+## allow_suspicious_indices {#allow_suspicious_indices} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+同一の式を持つプライマリ／セカンダリ索引およびソートキーを拒否します。
+
+## allow_vertical_merges_from_compact_to_wide_parts {#allow_vertical_merges_from_compact_to_wide_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+コンパクトパーツからワイドパーツへの垂直マージを許可します。この設定は、すべてのレプリカで同じ値にする必要があります。
+
+## alter_column_secondary_index_mode {#alter_column_secondary_index_mode} 
+
+<SettingsInfoBlock type="AlterColumnSecondaryIndexMode" default_value="rebuild" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.12"},{"label": "rebuild"},{"label": "Change the behaviour to allow ALTER `column` when they have dependent secondary indices"}]}]}/>
+
+セカンダリ索引でカバーされているカラムを変更する `ALTER` コマンドを許可するかどうかと、許可する場合にどのような処理を行うかを設定します。デフォルトでは、そのような `ALTER` コマンドは許可され、索引は再構築されます。
+
+可能な値:
+
+- `rebuild` (default): `ALTER` コマンド内のカラムの影響を受けるすべてのセカンダリ索引を再構築します。
+- `throw`: セカンダリ索引に含まれるカラムに対するあらゆる `ALTER` を、例外をスローして禁止します。
+- `drop`: 依存するセカンダリ索引を削除します。新しいパーツにはその索引が含まれなくなり、再作成するには `MATERIALIZE INDEX` が必要です。
+- `compatibility`: もとの動作に合わせます: `ALTER ... MODIFY COLUMN` では `throw`、`ALTER ... UPDATE/DELETE` では `rebuild` になります。
+- `ignore`: 上級者向けです。索引を不整合な状態のままにし、不正確なクエリ結果が返される可能性があります。
+
+## always_fetch_merged_part {#always_fetch_merged_part} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+true の場合、このレプリカはパーツをマージせず、常に他のレプリカから
+マージ済みパーツをダウンロードします。
+
+設定可能な値:
+
+- true, false
+
+## always_use_copy_instead_of_hardlinks {#always_use_copy_instead_of_hardlinks} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+mutations/replaces/detaches などの処理中に、ハードリンクの作成ではなく常にデータをコピーするようにします。
+
+## apply_patches_on_merge {#apply_patches_on_merge} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "1"},{"label": "New setting"}]}]}/>
+
+true に設定すると、マージ時にパッチパーツが適用されます
+
+## assign_part_uuids {#assign_part_uuids} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+有効にすると、新しく作成される各パーツに一意の識別子が割り当てられます。
+有効化する前に、すべてのレプリカが UUID バージョン 4 をサポートしていることを確認してください。
+
+## async_block_ids_cache_update_wait_ms {#async_block_ids_cache_update_wait_ms} 
+
+<SettingsInfoBlock type="Milliseconds" default_value="100" />
+
+各 insert イテレーションが async_block_ids_cache の更新完了を待機する時間
+
+## async_insert {#async_insert} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+true の場合、INSERT クエリによるデータはキューに格納され、その後バックグラウンドでテーブルへフラッシュされます。
+
+## auto_statistics_types {#auto_statistics_types} 
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.10"},{"label": ""},{"label": "新しい設定"}]}]}/>
+
+適切なすべてのカラムに対して自動的に計算する統計タイプを、カンマ区切りで指定したリスト。
+サポートされている統計タイプ: tdigest, countmin, minmax, uniq。
+
+## background_task_preferred_step_execution_time_ms {#background_task_preferred_step_execution_time_ms} 
+
+<SettingsInfoBlock type="Milliseconds" default_value="50" />
+
+マージまたはミューテーションの 1 ステップを実行するための目標時間（ミリ秒単位）。  
+1 ステップの処理にそれ以上の時間がかかる場合は、この目標時間を超過することがあります。
+
+## cache_populated_by_fetch {#cache_populated_by_fetch} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+:::note
+この設定は ClickHouse Cloud にのみ適用されます。
+:::
+
+`cache_populated_by_fetch` が無効（デフォルト設定）の場合、新しいデータパーツは、
+それらのパーツを必要とするクエリが実行されたときにのみファイルシステムキャッシュに
+読み込まれます。
+
+有効にすると、`cache_populated_by_fetch` により、クエリによるトリガーを必要とせずに、
+すべてのノードがストレージから新しいデータパーツを各ノードのファイルシステムキャッシュに
+読み込むようになります。
+
+**関連項目**
+
+- [ignore_cold_parts_seconds](/operations/settings/settings#ignore_cold_parts_seconds)
+- [prefer_warmed_unmerged_parts_seconds](/operations/settings/settings#prefer_warmed_unmerged_parts_seconds)
+- [cache_warmer_threads](/operations/settings/settings#cache_warmer_threads)
+
+## cache_populated_by_fetch_filename_regexp {#cache_populated_by_fetch_filename_regexp} 
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.6"},{"label": ""},{"label": "New setting"}]}]}/>
+
+:::note
+この設定は ClickHouse Cloud にのみ適用されます。
+:::
+
+空でない場合は、`cache_populated_by_fetch` が有効なときに、フェッチ後この正規表現に一致するファイルのみがキャッシュに事前読み込みされます。
+
+## check_delay_period {#check_delay_period} 
+
+<SettingsInfoBlock type="UInt64" default_value="60" />
+
+これは廃止された設定で、何の効果もありません。
+
+## check_sample_column_is_correct {#check_sample_column_is_correct} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+テーブル作成時に、サンプリング用のカラムまたはサンプリング式で使用するカラムのデータ型が正しいかどうかをチェックします。データ型は符号なしの
+[整数型](/sql-reference/data-types/int-uint) のいずれかである必要があります: `UInt8`, `UInt16`,
+`UInt32`, `UInt64`。
+
+可能な値:
+
+- `true`  — チェックを有効にします。
+- `false` — テーブル作成時のチェックを無効にします。
+
+デフォルト値: `true`。
+
+デフォルトでは、ClickHouse サーバーはテーブル作成時にサンプリング用のカラム、またはサンプリング式用のカラムのデータ型をチェックします。すでにサンプリング式が正しくないテーブルが存在しており、サーバーの起動時に例外を発生させたくない場合は、`check_sample_column_is_correct` を `false` に設定します。
+
+## clean_deleted_rows {#clean_deleted_rows} 
+
+<SettingsInfoBlock type="CleanDeletedRows" default_value="Never" />
+
+この設定は廃止されており、何も行いません。
+
+## cleanup_delay_period {#cleanup_delay_period} 
+
+<SettingsInfoBlock type="UInt64" default_value="30" />
+
+古いキューのログ、ブロックのハッシュ、およびパーツをクリーンアップするための最小間隔。
+
+## cleanup_delay_period_random_add {#cleanup_delay_period_random_add} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+`cleanup_delay_period` に 0 から x 秒までの一様分布に従う値を加算し、
+テーブル数が非常に多い場合に発生し得る thundering herd 問題と、それに続く ZooKeeper への DoS を回避します。
+
+## cleanup_thread_preferred_points_per_iteration {#cleanup_thread_preferred_points_per_iteration} 
+
+<SettingsInfoBlock type="UInt64" default_value="150" />
+
+バックグラウンドのクリーンアップ処理における推奨バッチサイズ（ポイントは抽象的な単位ですが、1 ポイントはおおよそ挿入ブロック 1 個に相当します）。
+
+## cleanup_threads {#cleanup_threads} 
+
+<SettingsInfoBlock type="UInt64" default_value="128" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## columns_and_secondary_indices_sizes_lazy_calculation {#columns_and_secondary_indices_sizes_lazy_calculation} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "1"},{"label": "カラムおよびセカンダリインデックスのサイズを初回リクエスト時に遅延計算する新しい設定"}]}]}/>
+
+テーブルの初期化時ではなく、最初のリクエスト時にカラムおよびセカンダリインデックスのサイズを遅延計算します。
+
+## columns_to_prewarm_mark_cache {#columns_to_prewarm_mark_cache} 
+
+（有効な場合の）マークキャッシュを事前ウォームしておくカラムのリスト。空の場合はすべてのカラムが対象になります。
+
+## compact_parts_max_bytes_to_buffer {#compact_parts_max_bytes_to_buffer} 
+
+<SettingsInfoBlock type="UInt64" default_value="134217728" />
+
+ClickHouse Cloud でのみ利用可能です。コンパクトパーツにおいて、1つのストライプに書き込む最大バイト数。
+
+## compact_parts_max_granules_to_buffer {#compact_parts_max_granules_to_buffer} 
+
+<SettingsInfoBlock type="UInt64" default_value="128" />
+
+ClickHouse Cloud でのみ利用可能です。compact パーツで 1 つのストライプに書き込むグラニュール数の上限。
+
+## compact_parts_merge_max_bytes_to_prefetch_part {#compact_parts_merge_max_bytes_to_prefetch_part} 
+
+<SettingsInfoBlock type="UInt64" default_value="16777216" />
+
+ClickHouse Cloud でのみ利用可能です。マージ中に compact パーツ全体をメモリに読み込む際の、パーツの最大サイズを指定します。
+
+## compatibility_allow_sampling_expression_not_in_primary_key {#compatibility_allow_sampling_expression_not_in_primary_key} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+サンプリング式が PRIMARY KEY に含まれていないテーブルの作成を許可します。これは、後方互換性のために不正な定義のテーブルを一時的に許可してサーバーを稼働させる必要がある場合にのみ使用します。
+
+## compress_marks {#compress_marks} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+マークの圧縮をサポートし、マークファイルのサイズを削減してネットワーク転送を高速化します。
+
+## compress_primary_key {#compress_primary_key} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+主キーを圧縮し、主キーファイルのサイズを削減してネットワーク転送を高速化します。
+
+## concurrent_part_removal_threshold {#concurrent_part_removal_threshold} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+非アクティブなデータパーツの数が少なくともこの値以上の場合にのみ、
+（'max_part_removal_threads' を参照）パーツの同時削除を有効にします。
+
+## deduplicate_merge_projection_mode {#deduplicate_merge_projection_mode} 
+
+<SettingsInfoBlock type="DeduplicateMergeProjectionMode" default_value="throw" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "24.8"},{"label": "throw"},{"label": "一貫性のないプロジェクションの作成を許可しない"}]}]}/>
+
+非クラシックな MergeTree、すなわち (Replicated, Shared) MergeTree を使用するテーブルに対して、
+プロジェクションの作成を許可するかどうかを制御します。`ignore` オプションは後方互換性のためだけに存在し、
+誤った結果を招く可能性があります。許可されている場合には、
+マージ時にプロジェクションに対してどのアクションを取るか (drop するか rebuild するか) を指定します。
+クラシックな MergeTree はこの設定を無視します。
+この設定は `OPTIMIZE DEDUPLICATE` も制御しますが、すべての MergeTree ファミリーのエンジンに対して有効です。
+オプション `lightweight_mutation_projection_mode` と同様に、これはパーツレベルの設定です。
+
+設定可能な値:
+
+- `ignore`
+- `throw`
+- `drop`
+- `rebuild`
+
+## default_compression_codec {#default_compression_codec} 
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": ""},{"label": "新しい設定"}]}]}/>
+
+テーブル定義内で特定のカラムに対して圧縮コーデックが定義されていない場合に使用される、デフォルトの圧縮コーデックを指定します。
+カラムに対する圧縮コーデックの選択優先順位:
+
+1. テーブル定義内でそのカラムに対して定義された圧縮コーデック
+2. `default_compression_codec`（この設定）で定義された圧縮コーデック
+3. `compression` 設定で定義されたデフォルトの圧縮コーデック  
+
+デフォルト値: 空文字列（未定義）。
+
+## detach_not_byte_identical_parts {#detach_not_byte_identical_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+マージまたはミューテーション後に、他のレプリカ上のデータパーツとバイト単位で同一でない場合、そのレプリカ上のデータパーツをデタッチするかどうかを制御します。無効の場合、そのデータパーツは削除されます。このようなパーツを後で分析したい場合は、この設定を有効にしてください。
+
+この設定は、[データのレプリケーション](/engines/table-engines/mergetree-family/replacingmergetree) が有効になっている `MergeTree` テーブルに適用されます。
+
+取り得る値:
+
+- `0` — パーツは削除されます。
+- `1` — パーツはデタッチされます。
+
+## detach_old_local_parts_when_cloning_replica {#detach_old_local_parts_when_cloning_replica} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+失われたレプリカを修復する際に、古いローカルパーツを削除しないようにします。
+
+取りうる値:
+
+- `true`
+- `false`
+
+## disable_detach_partition_for_zero_copy_replication {#disable_detach_partition_for_zero_copy_replication} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+ゼロコピー レプリケーションでの `DETACH PARTITION` クエリを無効化します。
+
+## disable_fetch_partition_for_zero_copy_replication {#disable_fetch_partition_for_zero_copy_replication} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+ゼロコピー レプリケーション用の FETCH PARTITION クエリを無効化します。
+
+## disable_freeze_partition_for_zero_copy_replication {#disable_freeze_partition_for_zero_copy_replication} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+ゼロコピー レプリケーション用の FREEZE PARTITION クエリを無効にします。
+
+## disk {#disk} 
+
+ストレージディスクの名前です。storage policy の代わりに指定できます。
+
+## dynamic_serialization_version {#dynamic_serialization_version} 
+
+<SettingsInfoBlock type="MergeTreeDynamicSerializationVersion" default_value="v2" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "v2"},{"label": "Dynamic データ型のシリアル化バージョンを制御する設定を追加"}]}]}/>
+
+Dynamic データ型のシリアル化バージョン。互換性のために必要です。
+
+設定可能な値:
+
+- `v1`
+- `v2`
+- `v3`
+
+## enable_block_number_column {#enable_block_number_column} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+各行の _block_number カラムを永続的に保存します。
+
+## enable_block_offset_column {#enable_block_offset_column} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+マージ時に仮想カラム `_block_number` を永続化します。
+
+## enable_index_granularity_compression {#enable_index_granularity_compression} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+可能な場合は、メモリ上の索引粒度の値を圧縮します。
+
+## enable_max_bytes_limit_for_min_age_to_force_merge {#enable_max_bytes_limit_for_min_age_to_force_merge} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "min_age_to_force_merge 用の最大バイト数を制限する新しい設定を追加。"}]}, {"id": "row-2","items": [{"label": "25.1"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+`min_age_to_force_merge_seconds` と
+`min_age_to_force_merge_on_partition_only` の両設定が、
+`max_bytes_to_merge_at_max_space_in_pool` の設定に従うかどうかを制御します。
+
+設定可能な値:
+
+- `true`
+- `false`
+
+## enable_mixed_granularity_parts {#enable_mixed_granularity_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+`index_granularity_bytes` 設定を使用してグラニュールのサイズを制御する方式への移行を有効または無効にします。バージョン 19.11 以前は、グラニュールサイズを制限するための `index_granularity` 設定しかありませんでした。
+`index_granularity_bytes` 設定は、大きな行（数十〜数百メガバイト）を持つテーブルからデータを選択する際に ClickHouse のパフォーマンスを向上させます。
+大きな行を持つテーブルがある場合は、そのテーブルに対してこの設定を有効にすることで、`SELECT` クエリの効率を高めることができます。
+
+## enable_replacing_merge_with_cleanup_for_min_age_to_force_merge {#enable_replacing_merge_with_cleanup_for_min_age_to_force_merge} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.3"},{"label": "0"},{"label": "ReplacingMergeTree に対して自動 CLEANUP マージを許可する新しい設定"}]}]}/>
+
+パーティションを 1 つのパーツにマージする際に、ReplacingMergeTree に対して CLEANUP マージを使用するかどうかを制御します。`allow_experimental_replacing_merge_with_cleanup`、
+`min_age_to_force_merge_seconds`、`min_age_to_force_merge_on_partition_only`
+が有効になっている必要があります。
+
+可能な値:
+
+- `true`
+- `false`
+
+## enable_the_endpoint_id_with_zookeeper_name_prefix {#enable_the_endpoint_id_with_zookeeper_name_prefix} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+レプリケーテッド MergeTree テーブルで、`zookeeper` 名をプレフィックスとする endpoint id を有効にします。
+
+## enable_vertical_merge_algorithm {#enable_vertical_merge_algorithm} 
+
+<SettingsInfoBlock type="UInt64" default_value="1" />
+
+Vertical マージアルゴリズムを有効化します。
+
+## enforce_index_structure_match_on_partition_manipulation {#enforce_index_structure_match_on_partition_manipulation} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "24.12"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+パーティション操作クエリ（`ATTACH/MOVE/REPLACE PARTITION`）で指定される宛先テーブルに対してこの設定が有効になっている場合、ソーステーブルと宛先テーブルの索引およびプロジェクションは完全に一致している必要があります。そうでない場合、宛先テーブルはソーステーブルの索引およびプロジェクションの上位集合を持つことができます。
+
+## escape_variant_subcolumn_filenames {#escape_variant_subcolumn_filenames} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "1"},{"label": "Wide パーツ内の Variant 型サブカラム用に作成されるファイル名に含まれる特殊記号をエスケープ"}]}]}/>
+
+MergeTree テーブルの Wide パーツにおいて、Variant データ型のサブカラム用に作成されるファイル名に含まれる特殊記号をエスケープします。互換性を保つために必要です。
+
+## exclude_deleted_rows_for_part_size_in_merge {#exclude_deleted_rows_for_part_size_in_merge} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+有効にすると、パーツの推定実データサイズ（つまり、`DELETE FROM` によって削除された行を除外したサイズ）がマージ対象パーツの選択時に使用されます。この挙動は、この設定を有効化した後に実行された `DELETE FROM` の影響を受けたデータパーツに対してのみ有効である点に注意してください。
+
+取りうる値:
+
+- `true`
+- `false`
+
+**関連項目**
+
+- [load_existing_rows_count_for_old_parts](#load_existing_rows_count_for_old_parts) 設定
+
+## exclude&#95;materialize&#95;skip&#95;indexes&#95;on&#95;merge {#exclude_materialize_skip_indexes_on_merge}
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.10"},{"label": ""},{"label": "新しい設定。"}]}]} />
+
+カンマ区切りで指定された skip インデックスのリストを、マージ時に構築および保存の対象から除外します。
+[materialize&#95;skip&#95;indexes&#95;on&#95;merge](#materialize_skip_indexes_on_merge) が false の場合は効果がありません。
+
+除外された skip インデックスであっても、明示的な
+[MATERIALIZE INDEX](/sql-reference/statements/alter/skipping-index.md/#materialize-index) クエリ、または
+[materialize&#95;skip&#95;indexes&#95;on&#95;insert](/operations/settings/settings.md/#materialize_skip_indexes_on_insert)
+セッション設定に応じて INSERT 時に構築および保存されます。
+
+例：
+
+```sql
+CREATE TABLE tab
+(
+a UInt64,
+b UInt64,
+INDEX idx_a a TYPE minmax,
+INDEX idx_b b TYPE set(3)
+)
+ENGINE = MergeTree ORDER BY tuple() SETTINGS exclude_materialize_skip_indexes_on_merge = 'idx_a';
+
+INSERT INTO tab SELECT number, number / 50 FROM numbers(100); -- この設定はINSERT時には影響しません
+
+-- idx_aはバックグラウンドマージまたはOPTIMIZE TABLE FINALによる明示的なマージ時の更新から除外されます
+
+-- リストを指定することで複数の索引を除外できます
+ALTER TABLE tab MODIFY SETTING exclude_materialize_skip_indexes_on_merge = 'idx_a, idx_b';
+
+-- デフォルト設定、マージ時の更新から除外される索引はありません
+ALTER TABLE tab MODIFY SETTING exclude_materialize_skip_indexes_on_merge = '';
+```
+
+
+## execute_merges_on_single_replica_time_threshold {#execute_merges_on_single_replica_time_threshold} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />
+
+この設定値が 0 より大きい場合、1 つのレプリカのみが直ちにマージを開始し、他のレプリカはローカルでマージを実行する代わりに、その時間の間、マージ結果をダウンロードできるようになるまで待機します。選択されたレプリカがその時間内にマージを完了しない場合は、標準的な動作にフォールバックします。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## fault_probability_after_part_commit {#fault_probability_after_part_commit} 
+
+<SettingsInfoBlock type="Float" default_value="0" />
+
+テスト目的の設定です。変更しないでください。
+
+## fault_probability_before_part_commit {#fault_probability_before_part_commit} 
+
+<SettingsInfoBlock type="Float" default_value="0" />
+
+テスト用です。変更しないでください。
+
+## finished_mutations_to_keep {#finished_mutations_to_keep} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+完了したミューテーションのレコードを何件保持するかを指定します。0 の場合は、すべてのレコードを保持します。
+
+## force_read_through_cache_for_merges {#force_read_through_cache_for_merges} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+マージ時にファイルシステムキャッシュを経由した読み取りを強制する
+
+## fsync_after_insert {#fsync_after_insert} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+挿入で生成される各パーツごとに fsync を実行します。挿入性能が大きく低下するため、ワイドなパーツとの併用は推奨されません。
+
+## fsync_part_directory {#fsync_part_directory} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+すべてのパートに対する操作（書き込み、リネームなど）が完了した後に、パートディレクトリに対して fsync を実行します。
+
+## in_memory_parts_enable_wal {#in_memory_parts_enable_wal} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## in_memory_parts_insert_sync {#in_memory_parts_insert_sync} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+これは廃止された設定であり、現在は効果がありません。
+
+## inactive_parts_to_delay_insert {#inactive_parts_to_delay_insert} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+テーブル内の単一のパーティションに存在する非アクティブなパーツの数が
+`inactive_parts_to_delay_insert` の値を超えた場合、`INSERT` 処理は意図的に
+遅延されます。
+
+:::tip
+サーバーがパーツを十分な速さでクリーンアップできない場合の対策として有効です。
+:::
+
+取りうる値:
+
+- 任意の正の整数。
+
+## inactive_parts_to_throw_insert {#inactive_parts_to_throw_insert} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+1 つのパーティション内の非アクティブなパーツの数が
+`inactive_parts_to_throw_insert` の値を超えると、`INSERT` は次のエラーで中断されます。
+
+> "Too many inactive parts (N). Parts cleaning are processing significantly
+slower than inserts" という例外が発生します。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## index_granularity {#index_granularity} 
+
+<SettingsInfoBlock type="UInt64" default_value="8192" />
+
+インデックスのマーク間のデータ行数の最大値です。つまり、1 つのプライマリキー値に対応する行数です。
+
+## index_granularity_bytes {#index_granularity_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="10485760" />
+
+データグラニュールの最大サイズ（バイト単位）。
+
+グラニュールのサイズを行数だけで制限するには、`0` に設定します（非推奨）。
+
+## initialization_retry_period {#initialization_retry_period} 
+
+<SettingsInfoBlock type="Seconds" default_value="60" />
+
+テーブル初期化の再試行間隔（秒単位）。
+
+## kill_delay_period {#kill_delay_period} 
+
+<SettingsInfoBlock type="UInt64" default_value="30" />
+
+この設定は廃止されており、何の効果もありません。
+
+## kill_delay_period_random_add {#kill_delay_period_random_add} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## kill_threads {#kill_threads} 
+
+<SettingsInfoBlock type="UInt64" default_value="128" />
+
+廃止された設定で、現在は何の効果もありません。
+
+## lightweight_mutation_projection_mode {#lightweight_mutation_projection_mode} 
+
+<SettingsInfoBlock type="LightweightMutationProjectionMode" default_value="throw" />
+
+デフォルトでは、論理削除 `DELETE` は PROJECTION を持つテーブルでは動作しません。これは、PROJECTION 内の行が `DELETE` 操作の影響を受ける可能性があるためです。そのため、デフォルト値は `throw` です。ただし、このオプションで挙動を変更できます。値を `drop` または `rebuild` にすると、削除は PROJECTION を持つテーブルでも動作します。`drop` は PROJECTION 自体を削除するため、現在のクエリでは PROJECTION が削除されるぶん高速になる可能性がありますが、将来のクエリでは PROJECTION が存在しないため遅くなる可能性があります。`rebuild` は PROJECTION を再構築するため、現在のクエリのパフォーマンスには影響する可能性がありますが、将来のクエリは高速化される可能性があります。ここで重要なのは、これらのオプションはパーツレベルでのみ動作する点です。つまり、影響を受けないパーツ内の PROJECTION は、drop や rebuild のようなアクションがトリガーされることなく、そのまま保持されます。
+
+Possible values:
+
+- `throw`
+- `drop`
+- `rebuild`
+
+## load_existing_rows_count_for_old_parts {#load_existing_rows_count_for_old_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+[exclude_deleted_rows_for_part_size_in_merge](#exclude_deleted_rows_for_part_size_in_merge)
+と併せて有効にした場合、既存データパーツに対する削除済み行数が
+テーブルの起動時に計算されます。テーブルのロードが遅くなる可能性がある点に注意してください。
+
+可能な値:
+
+- `true`
+- `false`
+
+**関連項目**
+
+- [exclude_deleted_rows_for_part_size_in_merge](#exclude_deleted_rows_for_part_size_in_merge) 設定
+
+## lock_acquire_timeout_for_background_operations {#lock_acquire_timeout_for_background_operations} 
+
+<SettingsInfoBlock type="Seconds" default_value="120" />
+
+マージやミューテーションなどのバックグラウンド操作で、テーブルロックの取得失敗とみなすまでの待機時間（秒）。
+
+## marks_compress_block_size {#marks_compress_block_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="65536" />
+
+マーク圧縮ブロックサイズ。圧縮対象となるブロックの実際のサイズです。
+
+## marks_compression_codec {#marks_compression_codec} 
+
+<SettingsInfoBlock type="String" default_value="ZSTD(3)" />
+
+marks に使用される圧縮コーデックです。marks はサイズが小さくキャッシュされるため、
+デフォルトでは ZSTD(3) による圧縮が使用されます。
+
+## materialize_skip_indexes_on_merge {#materialize_skip_indexes_on_merge} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1"},{"label": "新しい設定"}]}]}/>
+
+有効な場合、マージ時に新しいパーツに対してスキップ索引を構築および保存します。
+無効な場合、明示的に [MATERIALIZE INDEX](/sql-reference/statements/alter/skipping-index.md/#materialize-index)
+または [INSERT 時](/operations/settings/settings.md/#materialize_skip_indexes_on_insert) に作成および保存できます。
+
+よりきめ細かい制御が必要な場合は、[exclude_materialize_skip_indexes_on_merge](#exclude_materialize_skip_indexes_on_merge) も参照してください。
+
+## materialize_ttl_recalculate_only {#materialize_ttl_recalculate_only} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+MATERIALIZE TTL 実行時にのみ TTL 情報を再計算します
+
+## max_avg_part_size_for_too_many_parts {#max_avg_part_size_for_too_many_parts} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />
+
+`parts_to_delay_insert` と `parts_to_throw_insert` に基づく「too many parts」チェックは、（該当するパーティション内の）平均パーツサイズが指定されたしきい値を超えない場合にのみ有効になります。平均パーツサイズが指定されたしきい値より大きい場合、INSERT は遅延も拒否もされません。これは、パーツが正常にマージされてより大きなパーツになっていれば、単一のサーバー上の単一テーブルに数百テラバイト規模のデータを保持できることを意味します。この設定は、非アクティブなパーツやパーツ総数に対するしきい値には影響しません。
+
+## max_bytes_to_merge_at_max_space_in_pool {#max_bytes_to_merge_at_max_space_in_pool} 
+
+<SettingsInfoBlock type="UInt64" default_value="161061273600" />
+
+利用可能なリソースが十分にある場合に、1つのパーツにマージされるパーツの合計サイズ（バイト単位）の上限です。自動バックグラウンドマージによって作成されうるパーツサイズのおおよその最大値に相当します。（0 はマージが無効化されることを意味します）
+
+取り得る値:
+
+- 任意の非負の整数。
+
+マージスケジューラは、定期的にパーティション内のパーツのサイズと数を分析し、プール内に十分な空きリソースがある場合はバックグラウンドマージを開始します。ソースパーツの合計サイズが `max_bytes_to_merge_at_max_space_in_pool` を超えるまでマージが行われます。
+
+[OPTIMIZE FINAL](/sql-reference/statements/optimize) によって開始されたマージは `max_bytes_to_merge_at_max_space_in_pool` を無視します（空きディスク容量のみが考慮されます）。
+
+## max_bytes_to_merge_at_min_space_in_pool {#max_bytes_to_merge_at_min_space_in_pool} 
+
+<SettingsInfoBlock type="UInt64" default_value="1048576" />
+
+バックグラウンドプール内で利用可能なリソースが最小限しかない場合に、1つのパーツにマージできる
+パーツの合計サイズ（バイト単位）の最大値。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+`max_bytes_to_merge_at_min_space_in_pool` は、（プール内で）利用可能なディスク容量が不足している場合でも
+マージできるパーツの合計サイズの上限を定義します。
+これは、小さなパーツの数と `Too many parts` エラーの発生確率を減らすために必要です。
+マージ処理では、マージ対象パーツ合計サイズの2倍のディスク容量を予約します。
+そのため、空きディスク容量が少ない場合、空き容量自体は存在するものの、
+その容量が進行中の大規模なマージによってすでに予約されていて他のマージが開始できず、
+挿入のたびに小さなパーツの数が増加する状況が発生する可能性があります。
+
+## max_cleanup_delay_period {#max_cleanup_delay_period} 
+
+<SettingsInfoBlock type="UInt64" default_value="300" />
+
+古いキューログ、ブロックハッシュ、およびパーツをクリーンアップするための最大期間。
+
+## max_compress_block_size {#max_compress_block_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+テーブルへの書き込み時に、圧縮を行う前の非圧縮データブロックの最大サイズです。この設定はグローバル設定でも指定できます
+（[max_compress_block_size](/operations/settings/merge-tree-settings#max_compress_block_size)
+設定を参照）。テーブル作成時に指定した値は、この設定に対するグローバル値を上書きします。
+
+## max&#95;concurrent&#95;queries {#max_concurrent_queries}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+MergeTree テーブルに関連して同時に実行されるクエリの最大数。
+クエリは他の `max_concurrent_queries` 設定によっても引き続き制限されます。
+
+設定可能な値:
+
+* 正の整数。
+* `0` — 無制限。
+
+デフォルト値: `0`（無制限）。
+
+**例**
+
+```xml
+<max_concurrent_queries>50</max_concurrent_queries>
+```
+
+
+## max&#95;delay&#95;to&#95;insert {#max_delay_to_insert}
+
+<SettingsInfoBlock type="UInt64" default_value="1" />
+
+`INSERT` の遅延を計算するために使用される秒数の値です。単一のパーティション内のアクティブなパーツ数が
+[parts&#95;to&#95;delay&#95;insert](#parts_to_delay_insert) の値を超えた場合に適用されます。
+
+設定可能な値:
+
+* 任意の正の整数。
+
+`INSERT` の遅延（ミリ秒）は次の式で計算されます。
+
+```code
+max_k = parts_to_throw_insert - parts_to_delay_insert
+k = 1 + parts_count_in_partition - parts_to_delay_insert
+delay_milliseconds = pow(max_delay_to_insert * 1000, k / max_k)
+```
+
+例えば、あるパーティションにアクティブなパーツが 299 個あり、parts&#95;to&#95;throw&#95;insert
+= 300、parts&#95;to&#95;delay&#95;insert = 150、max&#95;delay&#95;to&#95;insert = 1 の場合、`INSERT` は
+`pow( 1 * 1000, (1 + 299 - 150) / (300 - 150) ) = 1000`
+ミリ秒遅延します。
+
+バージョン 23.1 から、式は次のように変更されました:
+
+```code
+allowed_parts_over_threshold = parts_to_throw_insert - parts_to_delay_insert
+parts_over_threshold = parts_count_in_partition - parts_to_delay_insert + 1
+delay_milliseconds = max(min_delay_to_insert_ms, (max_delay_to_insert * 1000)
+* parts_over_threshold / allowed_parts_over_threshold)
+```
+
+例えば、あるパーティションに 224 個のアクティブなパーツがあり、parts&#95;to&#95;throw&#95;insert
+= 300、parts&#95;to&#95;delay&#95;insert = 150、max&#95;delay&#95;to&#95;insert = 1、
+min&#95;delay&#95;to&#95;insert&#95;ms = 10 の場合、`INSERT` は `max( 10, 1 * 1000 *
+(224 - 150 + 1) / (300 - 150) ) = 500` ミリ秒だけ遅延します。
+
+
+## max_delay_to_mutate_ms {#max_delay_to_mutate_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+多数の未完了のmutationが存在する場合における、MergeTreeテーブルのmutationの最大遅延時間（ミリ秒単位）。
+
+## max_digestion_size_per_segment {#max_digestion_size_per_segment} 
+
+<SettingsInfoBlock type="UInt64" default_value="268435456" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "268435456"},{"label": "Obsolete setting"}]}]}/>
+
+廃止されたSETTINGで、現在は何の効果もありません。
+
+## max_file_name_length {#max_file_name_length} 
+
+<SettingsInfoBlock type="UInt64" default_value="127" />
+
+ハッシュ化せずにそのまま保持するファイル名の最大長。
+この設定は、`replace_long_file_name_to_hash` が有効な場合にのみ効果があります。
+この設定値にはファイル拡張子の長さは含まれません。そのため、
+ファイルシステムのエラーを避けるために、ファイル名の最大長（通常 255 バイト）
+よりも余裕を持たせた値に設定することを推奨します。
+
+## max_files_to_modify_in_alter_columns {#max_files_to_modify_in_alter_columns} 
+
+<SettingsInfoBlock type="UInt64" default_value="75" />
+
+ファイルの変更（削除、追加）対象数がこの設定値より大きい場合、ALTER は適用されません。
+
+取りうる値:
+
+- 任意の正の整数。
+
+デフォルト値: 75
+
+## max_files_to_remove_in_alter_columns {#max_files_to_remove_in_alter_columns} 
+
+<SettingsInfoBlock type="UInt64" default_value="50" />
+
+削除対象となるファイル数がこの設定値を超える場合、ALTER を実行しません。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## max_merge_delayed_streams_for_parallel_write {#max_merge_delayed_streams_for_parallel_write} 
+
+<SettingsInfoBlock type="UInt64" default_value="40" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": "40"},{"label": "New setting"}]}]}/>
+
+並列でフラッシュされるストリーム（カラム）の最大数。
+マージにおける max_insert_delayed_streams_for_parallel_write の類似設定です。Vertical マージでのみ有効です。
+
+## max_merge_selecting_sleep_ms {#max_merge_selecting_sleep_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="60000" />
+
+パーツが選択されなかった後、再度マージ対象のパーツを選択しようとするまで待機する最大時間です。値を小さくすると、background_schedule_pool でのタスク選択が頻繁に実行されるようになり、大規模クラスター環境では ZooKeeper へのリクエストが大量に発生します。
+
+## max_number_of_merges_with_ttl_in_pool {#max_number_of_merges_with_ttl_in_pool} 
+
+<SettingsInfoBlock type="UInt64" default_value="2" />
+
+プール内の有効期限 (TTL) を持つマージの数が指定値を超えている場合、新しい有効期限 (TTL) 付きマージを割り当てません。これは通常のマージ用のスレッドを確保し、エラー「Too many parts」を回避するためです。
+
+## max_number_of_mutations_for_replica {#max_number_of_mutations_for_replica} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+各レプリカにおけるパーツの mutation 数を、指定した値に制限します。
+0 の場合、レプリカあたりの mutation 数には制限がありません（ただし、実行は他の設定によって制約される可能性があります）。
+
+## max_part_loading_threads {#max_part_loading_threads} 
+
+<SettingsInfoBlock type="MaxThreads" default_value="'auto(1)'" />
+
+廃止済みの設定で、何の効果もありません。
+
+## max_part_removal_threads {#max_part_removal_threads} 
+
+<SettingsInfoBlock type="MaxThreads" default_value="'auto(1)'" />
+
+この設定は廃止されており、何の効果もありません。
+
+## max_partitions_to_read {#max_partitions_to_read} 
+
+<SettingsInfoBlock type="Int64" default_value="-1" />
+
+1つのクエリでアクセスできるパーティションの最大数を制限します。
+
+テーブル作成時に指定した設定値は、
+クエリレベルの設定で上書きすることができます。
+
+可能な値:
+
+- 任意の正の整数。
+
+クエリの複雑さに関する設定 [max_partitions_to_read](/operations/settings/settings#max_partitions_to_read) を、
+クエリ / セッション / プロファイル単位で指定することもできます。
+
+## max_parts_in_total {#max_parts_in_total} 
+
+<SettingsInfoBlock type="UInt64" default_value="100000" />
+
+あるテーブルのすべてのパーティションにおけるアクティブなパーツ数の合計が
+`max_parts_in_total` の値を超えた場合、`Too many parts (N)` 例外が発生して
+`INSERT` が中断されます。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+テーブル内のパーツ数が多いと ClickHouse クエリのパフォーマンスが低下し、
+ClickHouse の起動時間が長くなります。多くの場合、これは誤った設計
+（パーティション戦略の選択ミス、パーティションが小さすぎるなど）の結果です。
+
+## max_parts_to_merge_at_once {#max_parts_to_merge_at_once} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+一度にマージできるパーツの最大数（0 の場合は無効）。  
+OPTIMIZE FINALクエリには影響しません。
+
+## max_postpone_time_for_failed_mutations_ms {#max_postpone_time_for_failed_mutations_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="300000" />
+
+失敗した mutation を再実行するまで延期する最大時間。
+
+## max_postpone_time_for_failed_replicated_fetches_ms {#max_postpone_time_for_failed_replicated_fetches_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="60000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": "60000"},{"label": "レプリケーションキュー内のフェッチタスクを延期可能にする新しい設定を追加しました。"}]}]}/>
+
+失敗したレプリケーションのフェッチ処理を延期できる最大時間。
+
+## max_postpone_time_for_failed_replicated_merges_ms {#max_postpone_time_for_failed_replicated_merges_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="60000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": "60000"},{"label": "レプリケーションキュー内のマージタスクを延期できるようにする新しい設定を追加。"}]}]}/>
+
+失敗したレプリケートマージを延期できる最大時間。
+
+## max_postpone_time_for_failed_replicated_tasks_ms {#max_postpone_time_for_failed_replicated_tasks_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="300000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": "300000"},{"label": "レプリケーションキュー内のタスクを延期できるようにする新しい設定を追加しました。"}]}]}/>
+
+失敗したレプリケーションタスクに対する最大延期時間です。タスクが fetch、merge、mutation のいずれでもない場合にこの値が使用されます。
+
+## max_projections {#max_projections} 
+
+<SettingsInfoBlock type="UInt64" default_value="25" />
+
+MergeTree テーブルに対する PROJECTION の最大数。
+
+## max_replicated_fetches_network_bandwidth {#max_replicated_fetches_network_bandwidth} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+[replicated](../../engines/table-engines/mergetree-family/replication.md)
+フェッチに対して、ネットワーク上のデータ交換の最大速度を 1 秒あたりのバイト数で制限します。この設定は、サーバーに適用される
+[`max_replicated_fetches_network_bandwidth_for_server`](/operations/settings/merge-tree-settings#max_replicated_fetches_network_bandwidth)
+設定とは異なり、特定のテーブルに適用されます。
+
+サーバー全体のネットワーク帯域と特定テーブル向けのネットワーク帯域の両方を制限できますが、その場合はテーブルレベルの設定値をサーバーレベルの値よりも小さくする必要があります。そうでない場合、サーバーは
+`max_replicated_fetches_network_bandwidth_for_server` 設定のみを考慮します。
+
+この設定は厳密に守られるわけではありません。
+
+設定可能な値:
+
+- 正の整数。
+- `0` — 無制限。
+
+デフォルト値: `0`。
+
+**使用例**
+
+新しいノードを追加または置き換えるためにデータをレプリケートする際、その速度を制限する目的で使用できます。
+
+## max_replicated_logs_to_keep {#max_replicated_logs_to_keep} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+非アクティブなレプリカが存在する場合に、ClickHouse Keeper のログ内に保持できるレコード数の上限を指定します。この値を超えると、非アクティブなレプリカは失われたものと見なされます。
+
+Possible values:
+
+- 正の整数。
+
+## max_replicated_merges_in_queue {#max_replicated_merges_in_queue} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+ReplicatedMergeTree のキュー内で、パーツのマージおよびミューテーションタスクを同時に実行できる最大数を指定します。
+
+## max_replicated_merges_with_ttl_in_queue {#max_replicated_merges_with_ttl_in_queue} 
+
+<SettingsInfoBlock type="UInt64" default_value="1" />
+
+ReplicatedMergeTree のキュー内で、有効期限 (TTL) を伴うパーツのマージタスクを同時に許可する数を指定します。
+
+## max_replicated_mutations_in_queue {#max_replicated_mutations_in_queue} 
+
+<SettingsInfoBlock type="UInt64" default_value="8" />
+
+ReplicatedMergeTree のキュー内で、パーツに対するミューテーションタスクを同時にいくつまで許可するかを指定します。
+
+## max_replicated_sends_network_bandwidth {#max_replicated_sends_network_bandwidth} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+ネットワーク経由でのデータ交換の最大速度を、[replicated](/engines/table-engines/mergetree-family/replacingmergetree) での送信について、1 秒あたりのバイト数で制限します。この設定はサーバーレベルではなく特定のテーブルに適用されます。サーバーレベルで適用される設定は
+[`max_replicated_sends_network_bandwidth_for_server`](/operations/settings/merge-tree-settings#max_replicated_sends_network_bandwidth)
+です。
+
+サーバー全体のネットワーク帯域と特定テーブルのネットワーク帯域の両方を制限することもできますが、その場合はテーブルレベルの設定値をサーバーレベルの値より小さくする必要があります。そうでない場合、サーバーは
+`max_replicated_sends_network_bandwidth_for_server` の設定のみを考慮します。
+
+この設定は厳密に守られるとは限りません。
+
+設定可能な値:
+
+- 正の整数。
+- `0` — 無制限。
+
+**使用例**
+
+新しいノードを追加または置き換える際に、データのレプリケーション速度を制限する目的で使用できます。
+
+## max_suspicious_broken_parts {#max_suspicious_broken_parts} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+1つのパーティション内の壊れたパーツの数が
+`max_suspicious_broken_parts` の値を超えた場合、自動削除は行われません。
+
+設定可能な値:
+
+- 正の整数。
+
+## max_suspicious_broken_parts_bytes {#max_suspicious_broken_parts_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />
+
+すべての破損したパーツの合計サイズの上限です。この値を超えた場合、自動削除は行われません。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## max_uncompressed_bytes_in_patches {#max_uncompressed_bytes_in_patches} 
+
+<SettingsInfoBlock type="UInt64" default_value="32212254720" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "32212254720"},{"label": "新しい設定"}]}]}/>
+
+すべてのパッチパーツに含まれるデータの非圧縮時サイズの上限（バイト単位）です。
+すべてのパッチパーツに含まれるデータ量がこの値を超えると、論理更新は拒否されます。
+0 は無制限を意味します。
+
+## merge_max_block_size {#merge_max_block_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="8192" />
+
+マージされたパーツからメモリに読み込まれる行数。
+
+可能な値:
+
+- 任意の正の整数。
+
+マージ処理では、パーツから `merge_max_block_size` 行ずつブロック単位で行を読み込み、
+それらをマージして結果を新しいパーツに書き込みます。読み込まれたブロックは RAM 上に配置されるため、
+`merge_max_block_size` はマージに必要な RAM の量に影響します。
+そのため、行の幅が非常に広いテーブルでは、マージが大量の RAM を消費する可能性があります
+（平均行サイズが 100kb で、10 個のパーツをマージする場合、
+(100kb * 10 * 8192) = 約 8GB の RAM が必要になります）。`merge_max_block_size` を小さくすると、
+マージに必要な RAM 量を減らすことができますが、マージ処理は遅くなります。
+
+## merge_max_block_size_bytes {#merge_max_block_size_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="10485760" />
+
+マージ処理時に作成されるブロックのサイズ（バイト数）を指定します。デフォルト値は
+`index_granularity_bytes` と同じです。
+
+## merge_max_bytes_to_prewarm_cache {#merge_max_bytes_to_prewarm_cache} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1073741824"},{"label": "Cloud sync"}]}]}/>
+
+ClickHouse Cloud でのみ利用可能です。マージ処理中にキャッシュをプリウォームする際の、コンパクトまたはパック形式のパーツの最大サイズです。
+
+## merge_max_dynamic_subcolumns_in_wide_part {#merge_max_dynamic_subcolumns_in_wide_part} 
+
+<SettingsInfoBlock type="UInt64Auto" default_value="auto" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "auto"},{"label": "マージ後の Wide パートにおいて、データ型で指定されたパラメータに関係なく、動的サブカラムの数を制限するための新しい設定を追加。"}]}]}/>
+
+マージ後の Wide データパート内で、各カラムに対して作成される動的サブカラムの最大数を指定します。
+これにより、データ型で指定された動的パラメータに関係なく、Wide データパート内で作成されるファイル数を削減できます。
+
+例えば、テーブルに JSON(max_dynamic_paths=1024) 型のカラムがあり、設定 merge_max_dynamic_subcolumns_in_wide_part が 128 に設定されている場合、
+Wide データパートへのマージ後には、このパート内の動的パスの数は 128 に抑えられ、動的サブカラムとして書き込まれるパスも 128 個のみになります。
+
+## merge_selecting_sleep_ms {#merge_selecting_sleep_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />
+
+パーツが選択されなかった場合に、再度マージ対象のパーツを選択しようとするまで待機する最小時間。設定値を小さくすると、background_schedule_pool でのタスク選択が頻繁にトリガーされ、大規模クラスタでは ZooKeeper へのリクエストが大量に発生します。
+
+## merge_selecting_sleep_slowdown_factor {#merge_selecting_sleep_slowdown_factor} 
+
+<SettingsInfoBlock type="Float" default_value="1.2" />
+
+マージ選択タスクのスリープ時間は、マージ対象がない場合にはこの係数を掛け、マージが割り当てられた場合にはこの係数で割ります。
+
+## merge_selector_algorithm {#merge_selector_algorithm} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="MergeSelectorAlgorithm" default_value="Simple" />
+
+マージに使用するパーツを選択するアルゴリズム
+
+## merge_selector_base {#merge_selector_base} 
+
+<SettingsInfoBlock type="Float" default_value="5" />
+
+割り当てられたマージ処理における書き込み増幅に影響します（上級者向けの設定です。動作を理解していない場合は変更しないでください）。Simple および StochasticSimple マージセレクタで機能します。
+
+## merge_selector_blurry_base_scale_factor {#merge_selector_blurry_base_scale_factor} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+パーティション内のパーツ数に応じて、このロジックがいつ適用されるかを制御します。係数が大きいほど、反応の開始はより遅くなります。
+
+## merge_selector_enable_heuristic_to_remove_small_parts_at_right {#merge_selector_enable_heuristic_to_remove_small_parts_at_right} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+マージ対象のパーツを選択する際に、範囲の右側にあるパーツについて、そのサイズが合計サイズ `sum_size` に対する指定比率 (0.01) 未満の場合に、そのパーツをマージ対象から外すヒューリスティックを有効にします。
+Simple および StochasticSimple マージセレクタで動作します。
+
+## merge_selector_window_size {#merge_selector_window_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+一度に対象とするパーツ数。
+
+## merge_total_max_bytes_to_prewarm_cache {#merge_total_max_bytes_to_prewarm_cache} 
+
+<SettingsInfoBlock type="UInt64" default_value="16106127360" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "16106127360"},{"label": "Cloud sync"}]}]}/>
+
+ClickHouse Cloud でのみ利用可能。マージ処理中にキャッシュをプレウォームする際に対象となるパーツの合計最大サイズ（バイト単位）。
+
+## merge_tree_clear_old_broken_detached_parts_ttl_timeout_seconds {#merge_tree_clear_old_broken_detached_parts_ttl_timeout_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="2592000" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## merge_tree_clear_old_parts_interval_seconds {#merge_tree_clear_old_parts_interval_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="1" />
+
+古いパーツ、WAL、およびミューテーションのクリーンアップを ClickHouse が実行する間隔（秒）を設定します。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## merge_tree_clear_old_temporary_directories_interval_seconds {#merge_tree_clear_old_temporary_directories_interval_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="60" />
+
+ClickHouse が古い一時ディレクトリをクリーンアップする間隔（秒）を設定します。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## merge_tree_enable_clear_old_broken_detached {#merge_tree_enable_clear_old_broken_detached} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+この設定は廃止されており、何も行いません。
+
+## merge_with_recompression_ttl_timeout {#merge_with_recompression_ttl_timeout} 
+
+<SettingsInfoBlock type="Int64" default_value="14400" />
+
+再圧縮の有効期限 (TTL) を伴うマージを再度実行するまでの最小遅延時間（秒単位）。
+
+## merge_with_ttl_timeout {#merge_with_ttl_timeout} 
+
+<SettingsInfoBlock type="Int64" default_value="14400" />
+
+削除の有効期限 (TTL) を含むマージ処理を再実行するまでの最小遅延（秒）。
+
+## merge_workload {#merge_workload} 
+
+マージ処理とその他のワークロード間でのリソースの利用および共有方法を制御するために使用します。指定した値は、このテーブルのバックグラウンドマージに対する `workload` 設定値として使用されます。指定しなかった場合（空文字列の場合）は、サーバー設定の `merge_workload` が代わりに使用されます。
+
+**関連項目**
+
+- [Workload Scheduling](/operations/workload-scheduling.md)
+
+## min_absolute_delay_to_close {#min_absolute_delay_to_close} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+リクエストの処理を停止してクローズするまでの最小の絶対遅延時間であり、この間はステータスチェックで `Ok` を返しません。
+
+## min_age_to_force_merge_on_partition_only {#min_age_to_force_merge_on_partition_only} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+`min_age_to_force_merge_seconds` をパーティション全体に対してのみ適用し、部分的なサブセットには適用しないかどうかを制御します。
+
+デフォルトでは、`max_bytes_to_merge_at_max_space_in_pool` 設定を無視します
+（`enable_max_bytes_limit_for_min_age_to_force_merge` を参照）。
+
+指定可能な値:
+
+- true, false
+
+## min_age_to_force_merge_seconds {#min_age_to_force_merge_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+範囲内のすべてのパーツが `min_age_to_force_merge_seconds` の値より古い場合に、パーツをマージします。
+
+デフォルトでは、`max_bytes_to_merge_at_max_space_in_pool` の設定を無視します
+（`enable_max_bytes_limit_for_min_age_to_force_merge` を参照）。
+
+設定可能な値:
+
+- 正の整数
+
+## min_bytes_for_compact_part {#min_bytes_for_compact_part} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+この設定は廃止されており、何の効果もありません。
+
+## min_bytes_for_full_part_storage {#min_bytes_for_full_part_storage} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+ClickHouse Cloud でのみ利用可能。データパーツに対して packed ではなく full タイプのストレージを使用するための、非圧縮時のサイズの最小値（バイト単位）。
+
+## min_bytes_for_wide_part {#min_bytes_for_wide_part} 
+
+<SettingsInfoBlock type="UInt64" default_value="10485760" />
+
+`Wide` 形式で保存されるデータパーツに対して許可される、最小のバイト数／行数です。これらの設定は、片方のみ、両方、またはいずれも設定しなくてもかまいません。
+
+## min_bytes_to_prewarm_caches {#min_bytes_to_prewarm_caches} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "24.12"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+新しいパーツに対してマークキャッシュおよびプライマリ索引キャッシュを事前ウォームアップするための最小サイズ（非圧縮バイト数）
+
+## min_bytes_to_rebalance_partition_over_jbod {#min_bytes_to_rebalance_partition_over_jbod} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+新しい大きなパーツをボリュームディスク [JBOD](https://en.wikipedia.org/wiki/Non-RAID_drive_architectures) 間で分散する際に、バランス調整を有効にするための最小バイト数を設定します。
+
+設定可能な値:
+
+- 正の整数。
+- `0` — バランス調整を無効にします。
+
+**使用方法**
+
+`min_bytes_to_rebalance_partition_over_jbod` の値は、
+[max_bytes_to_merge_at_max_space_in_pool](/operations/settings/merge-tree-settings#max_bytes_to_merge_at_max_space_in_pool)
+/ 1024 の値より小さくしてはいけません。そうでない場合、ClickHouse は例外をスローします。
+
+## min_compress_block_size {#min_compress_block_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+次のマークを書き込む際に、圧縮を行うために必要となる非圧縮データブロックの最小サイズです。この設定はグローバル設定でも指定できます（[min_compress_block_size](/operations/settings/merge-tree-settings#min_compress_block_size) 設定を参照）。テーブル作成時に指定した値は、この設定についてグローバル設定で指定された値を上書きします。
+
+## min_compressed_bytes_to_fsync_after_fetch {#min_compressed_bytes_to_fsync_after_fetch} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+フェッチ後のパーツに対して `fsync` を実行するための、圧縮済みデータのバイト数の最小値（0 の場合は無効）
+
+## min_compressed_bytes_to_fsync_after_merge {#min_compressed_bytes_to_fsync_after_merge} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+マージ後のパーツに対して `fsync` を実行する際の、圧縮済みデータの最小バイト数（0 の場合は無効）
+
+## min_delay_to_insert_ms {#min_delay_to_insert_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+単一のパーティション内にマージされていないパーツが多数存在する場合に、MergeTree テーブルへのデータ挿入に適用される最小遅延時間（ミリ秒単位）。
+
+## min_delay_to_mutate_ms {#min_delay_to_mutate_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+未完了のmutationが多数ある場合における、MergeTreeテーブルのmutation実行までの最小遅延時間（ミリ秒）
+
+## min_free_disk_bytes_to_perform_insert {#min_free_disk_bytes_to_perform_insert} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+データを挿入するために、ディスクの空き容量として確保されていなければならない最小バイト数です。利用可能な空きバイト数が
+`min_free_disk_bytes_to_perform_insert` より小さい場合には、例外がスローされ、
+挿入は実行されません。この設定には次のような特徴があります。
+
+- `keep_free_space_bytes` 設定を考慮します。
+- `INSERT` 操作によって書き込まれるデータ量は考慮しません。
+- 正の（ゼロ以外の）バイト数が指定されている場合にのみチェックされます。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+:::note
+`min_free_disk_bytes_to_perform_insert` と `min_free_disk_ratio_to_perform_insert`
+の両方が指定されている場合、ClickHouse は、より大きな空きディスク容量で
+挿入を実行できるようにする方の値を優先して使用します。
+:::
+
+## min_free_disk_ratio_to_perform_insert {#min_free_disk_ratio_to_perform_insert} 
+
+<SettingsInfoBlock type="Float" default_value="0" />
+
+`INSERT` を実行するために必要な、空きディスク容量の総ディスク容量に対する最小比率です。0 から 1 の間の浮動小数点値である必要があります。この設定には次の特徴があります。
+
+- `keep_free_space_bytes` 設定を考慮します。
+- `INSERT` 操作によって書き込まれるデータ量は考慮しません。
+- 正の (非ゼロ) 比率が指定されている場合にのみチェックされます。
+
+設定可能な値:
+
+- Float, 0.0 - 1.0
+
+`min_free_disk_ratio_to_perform_insert` と
+`min_free_disk_bytes_to_perform_insert` の両方が指定されている場合、ClickHouse は、より多くの空きディスク容量がある状態で `INSERT` を実行できる方の値を採用します。
+
+## min_index_granularity_bytes {#min_index_granularity_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="1024" />
+
+データグラニュールの許可される最小サイズ（バイト単位）。
+
+`index_granularity_bytes` が極端に小さいテーブルを誤って作成することを防ぐためのセーフガードとして機能します。
+
+## min_level_for_full_part_storage {#min_level_for_full_part_storage} 
+
+<SettingsInfoBlock type="UInt32" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.10"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+ClickHouse Cloud でのみ利用可能。データパートに対して、packed 形式ではなく full 形式のストレージを使用するための最小パートレベル。
+
+## min_level_for_wide_part {#min_level_for_wide_part} 
+
+<SettingsInfoBlock type="UInt32" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.10"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+`Compact` 形式ではなく `Wide` 形式のデータパートを作成するために必要な最小パートレベル。
+
+## min&#95;marks&#95;to&#95;honor&#95;max&#95;concurrent&#95;queries {#min_marks_to_honor_max_concurrent_queries}
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+クエリに対して [max&#95;concurrent&#95;queries](#max_concurrent_queries) 設定を適用する際に、そのクエリで読み取られる必要があるマーク数の下限。
+
+:::note
+クエリは、他の `max_concurrent_queries` 設定によっても引き続き制限されます。
+:::
+
+設定可能な値:
+
+* 正の整数。
+* `0` — 無効（`max_concurrent_queries` の制限はどのクエリにも適用されない）。
+
+**例**
+
+```xml
+<min_marks_to_honor_max_concurrent_queries>10</min_marks_to_honor_max_concurrent_queries>
+```
+
+
+## min_merge_bytes_to_use_direct_io {#min_merge_bytes_to_use_direct_io} 
+
+<SettingsInfoBlock type="UInt64" default_value="10737418240" />
+
+マージ処理でストレージディスクに対して direct I/O アクセスを使用するために必要となる、最小のデータ量です。データパーツをマージする際、ClickHouse はマージ対象となるすべてのデータの合計ストレージ容量を計算します。その容量が `min_merge_bytes_to_use_direct_io` バイトを超えると、ClickHouse はストレージディスクへの読み書きを direct I/O インターフェイス（`O_DIRECT` オプション）を使って行います。`min_merge_bytes_to_use_direct_io = 0` の場合、direct I/O は無効化されます。
+
+## min_parts_to_merge_at_once {#min_parts_to_merge_at_once} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+マージセレクタが一度の処理でマージ対象として選択できるデータパーツの最小数です
+（エキスパート向けの SETTING です。動作を理解していない場合は変更しないでください）。
+0 の場合は無効になります。この SETTING は Simple および StochasticSimple マージセレクタで機能します。
+
+## min_relative_delay_to_close {#min_relative_delay_to_close} 
+
+<SettingsInfoBlock type="UInt64" default_value="300" />
+
+他のレプリカとの最小許容遅延。この値を超えると、接続をクローズし、リクエストの処理を停止し、
+ステータスチェック時に Ok を返さなくなります。
+
+## min_relative_delay_to_measure {#min_relative_delay_to_measure} 
+
+<SettingsInfoBlock type="UInt64" default_value="120" />
+
+絶対遅延がこの値以上の場合にのみ、レプリカの相対遅延を計算します。
+
+## min_relative_delay_to_yield_leadership {#min_relative_delay_to_yield_leadership} 
+
+<SettingsInfoBlock type="UInt64" default_value="120" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## min_replicated_logs_to_keep {#min_replicated_logs_to_keep} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+ZooKeeper ログ内の直近のレコードを、たとえ古くなっていてもおおよそこの数だけ保持します。これはテーブルの動作には影響せず、クリーンアップ前の ZooKeeper ログを診断する目的にのみ使用されます。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## min_rows_for_compact_part {#min_rows_for_compact_part} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+この設定は廃止されており、何の効果もありません。
+
+## min_rows_for_full_part_storage {#min_rows_for_full_part_storage} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+ClickHouse Cloud でのみ利用可能です。データパーツに対して packed 形式ではなく full 形式のストレージを使用するための最小行数を指定します。
+
+## min_rows_for_wide_part {#min_rows_for_wide_part} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+`Compact` 形式ではなく `Wide` 形式のデータパートを作成するために必要な最小行数。
+
+## min_rows_to_fsync_after_merge {#min_rows_to_fsync_after_merge} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+マージ後のパーツに対して `fsync` を実行する際の行数の下限値（0 の場合は無効）
+
+## mutation_workload {#mutation_workload} 
+
+ミューテーションとその他のワークロード間で、リソースの使用および共有方法を制御するために使用します。指定された値は、このテーブルのバックグラウンドミューテーションに対する `workload` 設定値として使用されます。指定されていない場合（空文字列の場合）は、サーバー設定の `mutation_workload` が代わりに使用されます。
+
+**関連項目**
+
+- [Workload Scheduling](/operations/workload-scheduling.md)
+
+## non_replicated_deduplication_window {#non_replicated_deduplication_window} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+非レプリケートな
+[MergeTree](../../engines/table-engines/mergetree-family/mergetree.md) テーブルにおいて、
+重複チェックのためにハッシュ値が保持される、直近で挿入されたブロックの数。
+
+設定可能な値:
+
+- 任意の正の整数。
+- `0`（重複排除を無効化）。
+
+[replicated_deduplication_window](#replicated_deduplication_window) 設定を参照してください。
+レプリケートテーブルと同様の重複排除メカニズムが使用され、作成されたパーツのハッシュ値はディスク上のローカルファイルに書き込まれます。
+
+## notify_newest_block_number {#notify_newest_block_number} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "Cloud sync"}]}]}/>
+
+最新のブロック番号を SharedJoin または SharedSet に通知します。ClickHouse Cloud でのみ利用可能です。
+
+## nullable_serialization_version {#nullable_serialization_version} 
+
+<SettingsInfoBlock type="MergeTreeNullableSerializationVersion" default_value="basic" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.12"},{"label": "basic"},{"label": "新しい設定"}]}]}/>
+
+`Nullable(T)` カラムで使用されるシリアライズ方式を制御します。
+
+指定可能な値:
+
+- basic — `Nullable(T)` に対して標準的なシリアライズ方式を使用します。
+
+- allow_sparse — `Nullable(T)` でスパースエンコーディングを使用できるようにします。
+
+## number_of_free_entries_in_pool_to_execute_mutation {#number_of_free_entries_in_pool_to_execute_mutation} 
+
+<SettingsInfoBlock type="UInt64" default_value="20" />
+
+プール内の空きエントリ数が指定値より少ない場合は、パーツのミューテーションを実行しません。これは、通常のマージ用にスレッドを残しておき、「Too many parts」エラーを回避するためです。
+
+Possible values:
+
+- 任意の正の整数値。
+
+**Usage**
+
+The value of the `number_of_free_entries_in_pool_to_execute_mutation` setting
+should be less than the value of the [background_pool_size](/operations/server-configuration-parameters/settings.md/#background_pool_size)
+
+* [background_merges_mutations_concurrency_ratio](/operations/server-configuration-parameters/settings.md/#background_merges_mutations_concurrency_ratio).
+Otherwise, ClickHouse will throw an exception.
+
+## number_of_free_entries_in_pool_to_execute_optimize_entire_partition {#number_of_free_entries_in_pool_to_execute_optimize_entire_partition} 
+
+<SettingsInfoBlock type="UInt64" default_value="25" />
+
+プール内の空きエントリ数が指定された数より少ない場合、バックグラウンドでパーティション全体の最適化を実行しません(このタスクは`min_age_to_force_merge_seconds`が設定され、`min_age_to_force_merge_on_partition_only`が有効な場合に生成されます)。これは、通常のマージ用に空きスレッドを確保し、「パーツが多すぎる」エラーを回避するためです。
+
+設定可能な値:
+
+- 正の整数
+
+`number_of_free_entries_in_pool_to_execute_optimize_entire_partition`設定の値は、
+[background_pool_size](/operations/server-configuration-parameters/settings.md/#background_pool_size)
+
+* [background_merges_mutations_concurrency_ratio](/operations/server-configuration-parameters/settings.md/#background_merges_mutations_concurrency_ratio)
+の値より小さくする必要があります。
+そうでない場合、ClickHouseは例外をスローします。
+
+## number_of_free_entries_in_pool_to_lower_max_size_of_merge {#number_of_free_entries_in_pool_to_lower_max_size_of_merge} 
+
+<SettingsInfoBlock type="UInt64" default_value="8" />
+
+プール（またはレプリケートキュー）内の空きエントリ数が指定された数より少なくなると、処理するマージ（またはキューに投入するマージ）の最大サイズを縮小し始めます。
+これは、小さなマージが処理されるようにして、長時間実行されるマージでプールが埋まってしまうのを防ぐためです。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## number_of_mutations_to_delay {#number_of_mutations_to_delay} 
+
+<SettingsInfoBlock type="UInt64" default_value="500" />
+
+テーブルに未完了の mutation が少なくともこの数だけある場合、テーブルの mutation を意図的に遅延させます。
+0 に設定した場合は無効になります。
+
+## number_of_mutations_to_throw {#number_of_mutations_to_throw} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+テーブルに未完了の mutation がこの値以上存在する場合、'Too many mutations' 例外をスローします。0 を設定すると無効になります。
+
+## number_of_partitions_to_consider_for_merge {#number_of_partitions_to_consider_for_merge} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "10"},{"label": "Cloud sync"}]}]}/>
+
+ClickHouse Cloud でのみ利用可能です。マージ対象として考慮するパーティションの上限となる N を指定します。パーティションは、そのパーティション内でマージ可能なデータパーツ数を重みとして、重み付きランダムに選択されます。
+
+## object_serialization_version {#object_serialization_version} 
+
+<SettingsInfoBlock type="MergeTreeObjectSerializationVersion" default_value="v2" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "v2"},{"label": "JSON シリアル化のバージョンを制御する設定を追加"}]}]}/>
+
+JSON データ型用のシリアル化バージョン。互換性を保つために必要です。
+
+指定可能な値:
+
+- `v1`
+- `v2`
+- `v3`
+
+共有データのシリアル化バージョンの変更をサポートするのは、バージョン `v3` のみです。
+
+## object_shared_data_buckets_for_compact_part {#object_shared_data_buckets_for_compact_part} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="8" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "8"},{"label": "Compact パーツにおける JSON 共有データシリアル化のバケット数を制御する SETTING を追加"}]}]}/>
+
+Compact パーツにおける JSON 共有データシリアル化のバケット数。`map_with_buckets` および `advanced` 共有データシリアル化で使用されます。
+
+## object_shared_data_buckets_for_wide_part {#object_shared_data_buckets_for_wide_part} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="32" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "32"},{"label": "Wide パーツにおける JSON 共有データシリアル化のバケット数を制御するための設定を追加"}]}]}/>
+
+Wide パーツにおける JSON 共有データシリアル化時のバケット数。`map_with_buckets` および `advanced` 共有データシリアル化で使用されます。
+
+## object_shared_data_serialization_version {#object_shared_data_serialization_version} 
+
+<SettingsInfoBlock type="MergeTreeObjectSharedDataSerializationVersion" default_value="map" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "map"},{"label": "JSON シリアル化バージョンを制御するための設定を追加"}]}]}/>
+
+JSON データ型内の共有データに対するシリアル化バージョンです。
+
+指定可能な値:
+
+- `map` - 共有データを `Map(String, String)` として保存します。
+- `map_with_buckets` - 共有データを複数の個別の `Map(String, String)` カラムとして保存します。バケットを使用することで、共有データから個々のパスを読み取る処理が高速になります。
+- `advanced` - 共有データから個々のパスを読み取る処理を大幅に高速化するために設計された、専用の共有データシリアル化方式です。  
+このシリアル化方式では、多くの追加情報を保存するため、ディスク上の共有データのストレージサイズが増加することに注意してください。
+
+`map_with_buckets` および `advanced` シリアル化におけるバケット数は、設定
+[object_shared_data_buckets_for_compact_part](#object_shared_data_buckets_for_compact_part)/[object_shared_data_buckets_for_wide_part](#object_shared_data_buckets_for_wide_part)
+によって決定されます。
+
+## object_shared_data_serialization_version_for_zero_level_parts {#object_shared_data_serialization_version_for_zero_level_parts} 
+
+<SettingsInfoBlock type="MergeTreeObjectSharedDataSerializationVersion" default_value="map" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "map"},{"label": "ゼロレベルパーツに対する JSON シリアル化バージョンを制御する設定を追加"}]}]}/>
+
+この設定では、挿入時に作成されるゼロレベルパーツに対して、JSON 型内の共有データのシリアル化バージョンを個別に指定できます。
+ゼロレベルパーツに対しては、共有データのシリアル化として `advanced` を使用しないことを推奨します。挿入時間が大きく増加する可能性があるためです。
+
+## old_parts_lifetime {#old_parts_lifetime} 
+
+<SettingsInfoBlock type="Seconds" default_value="480" />
+
+予期しないサーバー再起動時のデータ損失を防ぐために、非アクティブなパーツを保持しておく時間（秒）。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+複数のパーツを新しいパーツにマージした後、ClickHouse は元の
+パーツを非アクティブとしてマークし、`old_parts_lifetime` 秒経過してからのみ削除します。
+非アクティブなパーツは、現在のクエリで使用されていない場合、すなわち
+そのパーツの `refcount` が 1 の場合に削除されます。
+
+新しいパーツに対しては `fsync` は呼び出されないため、しばらくの間、新しいパーツは
+サーバーの RAM（OS キャッシュ）内にしか存在しません。サーバーが予期せず再起動された場合、
+新しいパーツは失われたり破損したりする可能性があります。データを保護するため、
+非アクティブなパーツはすぐには削除されません。
+
+起動時に ClickHouse はパーツの整合性をチェックします。マージされた
+パーツが破損している場合、ClickHouse は非アクティブなパーツをアクティブリストに戻し、
+後で再度マージします。その後、破損したパーツはリネームされ（`broken_`
+プレフィックスが追加され）、`detached` フォルダに移動されます。マージされたパーツが
+破損していない場合、元の非アクティブなパーツがリネームされ（`ignored_`
+プレフィックスが追加され）、`detached` フォルダに移動されます。
+
+デフォルトの `dirty_expire_centisecs` の値（Linux カーネルの設定）は 30 秒です
+（書き込まれたデータが RAM のみに保持される最大時間）。しかし、
+ディスクシステムへの負荷が高い場合、データの書き込みはさらに遅れる可能性があります。
+実験的な検証により、`old_parts_lifetime` の値として 480 秒が選択されており、
+この時間内に新しいパーツが確実にディスクに書き込まれることが保証されています。
+
+## optimize_row_order {#optimize_row_order} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+挿入時に行の順序を最適化して、新しく挿入されるテーブルパーツの圧縮率を
+向上させるかどうかを制御します。
+
+通常の MergeTree エンジンテーブルに対してのみ効果があります。
+特殊な MergeTree エンジンテーブル（例: CollapsingMergeTree）には影響しません。
+
+MergeTree テーブルは（オプションで）[compression codecs](/sql-reference/statements/create/table#column_compression_codec)
+を使用して圧縮されます。LZ4 や ZSTD のような汎用圧縮コーデックは、データにパターンが存在する場合に
+最大の圧縮率を達成します。同じ値が長く連続しているデータは、一般的に非常によく圧縮されます。
+
+この設定が有効な場合、ClickHouse は新しく挿入されるパーツ内のデータを、
+新しいテーブルパーツのカラム全体で同一値が連続する「ラン」の数が最小になるような
+行順序で保存しようと試みます。
+言い換えると、同一値ランの数が少ないほど、それぞれのランは長くなり、
+圧縮が良好になります。
+
+最適な行順序を見つけることは計算量的に実行不可能（NP 困難）です。
+そのため、ClickHouse はヒューリスティクスを用いて、元の行順序よりも
+圧縮率を改善できる行順序を高速に見つけます。
+
+<details markdown="1">
+
+<summary>行順序を見つけるためのヒューリスティクス</summary>
+
+一般に、テーブル（またはテーブルパーツ）の行は自由に並べ替えることができ、
+SQL では行順序が異なっていても同じテーブル（テーブルパーツ）とみなされます。
+
+テーブルに primary key が定義されている場合、この行の並べ替えの自由度は
+制限されます。ClickHouse では、primary key `C1, C2, ..., CN` により、
+テーブルの行はカラム `C1`, `C2`, ... `Cn` によってソートされることが
+要求されます（[clustered index](https://en.wikipedia.org/wiki/Database_index#Clustered)）。
+その結果、行は「同値類」の内部でのみ並べ替えることができます。
+すなわち、primary key のカラムにおいて同じ値を持つ行同士が
+同じ同値類を構成します。
+直感的には、`DateTime64` タイプのタイムスタンプカラムを含むような
+高カーディナリティの primary key は、多数の小さな同値類を生み出します。
+同様に、低カーディナリティの primary key を持つテーブルでは、
+少数の大きな同値類になります。primary key を持たないテーブルは、
+すべての行を含む単一の同値類からなる極端なケースに相当します。
+
+同値類が少なく大きいほど、行を再シャッフルする自由度は高くなります。
+
+各同値類の内部で最適な行順序を見つけるために適用される
+ヒューリスティクスは、D. Lemire, O. Kaser による
+[Reordering columns for smaller indexes](https://doi.org/10.1016/j.ins.2011.02.002)
+で提案されており、primary key 以外のカラムのカーディナリティを
+昇順に並べることで、各同値類内の行をソートすることに基づいています。
+
+これは次の 3 ステップを実行します:
+1. primary key カラムの行値に基づいて、すべての同値類を見つけます。
+2. 各同値類について、primary key 以外のカラムのカーディナリティを
+（通常は推定により）計算します。
+3. 各同値類について、primary key 以外のカラムのカーディナリティが
+昇順になるように行をソートします。
+
+</details>
+
+有効にすると、新しいデータの行順序を解析し最適化するために、
+挿入処理に追加の CPU コストがかかります。
+データの特性にもよりますが、INSERT の実行時間は 30〜50% 程度
+長くなることが予想されます。
+LZ4 または ZSTD の圧縮率は、平均して 20〜40% 改善します。
+
+この設定は、primary key を持たないテーブル、または低カーディナリティの
+primary key（すなわち、primary key の異なる値の種類が少ないテーブル）に対して
+最も効果的に機能します。
+`DateTime64` 型のタイムスタンプカラムを含むような
+高カーディナリティの primary key を持つテーブルでは、
+この設定によるメリットは期待できません。
+
+## part_moves_between_shards_delay_seconds {#part_moves_between_shards_delay_seconds} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="UInt64" default_value="30" />
+
+パーツを分片間で移動する前後に待機する時間（秒）。
+
+## part_moves_between_shards_enable {#part_moves_between_shards_enable} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+パーツを分片間で移動するための実験的／未完成の機能です。  
+この機能はシャーディング式を考慮しません。
+
+## parts_to_delay_insert {#parts_to_delay_insert} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+単一のパーティション内のアクティブなパーツ数が
+`parts_to_delay_insert` の値を超えた場合、`INSERT` は人工的に遅延させられます。
+
+指定可能な値:
+
+- 任意の正の整数。
+
+ClickHouse は `INSERT` の実行時間を人工的に長くし（sleep を追加し）、バックグラウンドのマージ処理が、追加される速度よりも速くパーツをマージできるようにします。
+
+## parts_to_throw_insert {#parts_to_throw_insert} 
+
+<SettingsInfoBlock type="UInt64" default_value="3000" />
+
+単一のパーティション内のアクティブなパーツ数が
+`parts_to_throw_insert` の値を超えると、`INSERT` は `Too many
+parts (N). Merges are processing significantly slower than inserts`
+という例外とともに中断されます。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+`SELECT` クエリのパフォーマンスを最大化するには、処理対象となるパーツ数を
+最小限に抑える必要があります。詳細は [Merge Tree](/development/architecture#merge-tree) を参照してください。
+
+バージョン 23.6 より前では、この設定は 300 に設定されていました。より高い
+値に設定することで `Too many parts`
+エラーが発生する確率を下げることができますが、その一方で `SELECT`
+のパフォーマンスが低下する可能性があります。また、マージに問題
+（たとえばディスク容量不足など）が生じた場合、元の値 300 のときよりも
+その問題に気づくタイミングが遅くなります。
+
+## prefer_fetch_merged_part_size_threshold {#prefer_fetch_merged_part_size_threshold} 
+
+<SettingsInfoBlock type="UInt64" default_value="10737418240" />
+
+パーツのサイズの合計がこのしきい値を超え、かつレプリケーションログエントリの作成からの経過時間が
+`prefer_fetch_merged_part_time_threshold` より大きい場合、ローカルでマージを実行するのではなく、
+レプリカからマージ済みパーツを取得することを優先します。これは、非常に時間のかかるマージ処理を高速化するためです。
+
+取りうる値:
+
+- 任意の正の整数。
+
+## prefer_fetch_merged_part_time_threshold {#prefer_fetch_merged_part_time_threshold} 
+
+<SettingsInfoBlock type="Seconds" default_value="3600" />
+
+レプリケーションログ（ClickHouse Keeper または ZooKeeper）のエントリが作成されてからの経過時間がこのしきい値を超え、かつパーツのサイズの合計が `prefer_fetch_merged_part_size_threshold` より大きい場合、ローカルでマージを実行するのではなく、レプリカからマージ済みパーツを取得することを優先します。これは、非常に長時間かかるマージを高速化するためのものです。
+
+設定可能な値:
+
+- 正の整数。
+
+## prewarm_mark_cache {#prewarm_mark_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+true の場合、挿入、マージ、フェッチ時およびサーバー起動時にマークをマークキャッシュに保存して、マークキャッシュを事前にウォームアップします。
+
+## prewarm_primary_key_cache {#prewarm_primary_key_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "24.12"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+true の場合、primary index cache は、挿入、マージ、フェッチ時およびサーバー起動時に marks を mark cache に保存することで事前にウォームアップされます
+
+## primary_key_compress_block_size {#primary_key_compress_block_size} 
+
+<SettingsInfoBlock type="NonZeroUInt64" default_value="65536" />
+
+プライマリキーの圧縮ブロックサイズ。圧縮するブロックの実際のサイズです。
+
+## primary_key_compression_codec {#primary_key_compression_codec} 
+
+<SettingsInfoBlock type="String" default_value="ZSTD(3)" />
+
+primary key に対して使用される圧縮コーデックです。primary key は十分に小さく、キャッシュされるため、デフォルトの圧縮方式は ZSTD(3) です。
+
+## primary_key_lazy_load {#primary_key_lazy_load} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+テーブルの初期化時ではなく、最初に使用されたときにプライマリキーをメモリに読み込みます。多数のテーブルが存在する場合にメモリ使用量を節約できます。
+
+## primary_key_ratio_of_unique_prefix_values_to_skip_suffix_columns {#primary_key_ratio_of_unique_prefix_values_to_skip_suffix_columns} 
+
+<SettingsInfoBlock type="Float" default_value="0.9" />
+
+データパート内で primary key のカラムの値が少なくともこの割合で変化する場合、後続のカラムをメモリに読み込むことをスキップします。これにより、primary key の不要なカラムを読み込まないことでメモリ使用量を削減できます。
+
+## ratio&#95;of&#95;defaults&#95;for&#95;sparse&#95;serialization {#ratio_of_defaults_for_sparse_serialization}
+
+<SettingsInfoBlock type="Float" default_value="0.9375" />
+
+カラム内の *all* 値に対する *default* 値の数の最小比率です。
+この値を設定すると、そのカラムはスパースシリアライゼーションを使って保存されます。
+
+カラムがスパース（ほとんどがゼロ）である場合、ClickHouse はそれをスパース形式でエンコードし、
+クエリ時にデータを完全に展開することなく、自動的に計算を最適化できます。
+このスパースシリアライゼーションを有効にするには、
+`ratio_of_defaults_for_sparse_serialization` を 1.0 未満に設定します。
+値が 1.0 以上の場合、カラムは常に通常のフルシリアライゼーションで書き込まれます。
+
+指定可能な値:
+
+* スパースシリアライゼーションを有効にする場合は `0` から `1` の間の Float
+* スパースシリアライゼーションを使用しない場合は `1.0`（またはそれ以上）
+
+**例**
+
+次のテーブルでは、`s` カラムは 95% の行で空文字列であることに注目してください。
+`my_regular_table` ではスパースシリアライゼーションを使用せず、
+`my_sparse_table` では `ratio_of_defaults_for_sparse_serialization` を 0.95 に設定しています。
+
+```sql
+CREATE TABLE my_regular_table
+(
+`id` UInt64,
+`s` String
+)
+ENGINE = MergeTree
+ORDER BY id;
+
+INSERT INTO my_regular_table
+SELECT
+number AS id,
+number % 20 = 0 ? toString(number): '' AS s
+FROM
+numbers(10000000);
+
+
+CREATE TABLE my_sparse_table
+(
+`id` UInt64,
+`s` String
+)
+ENGINE = MergeTree
+ORDER BY id
+SETTINGS ratio_of_defaults_for_sparse_serialization = 0.95;
+
+INSERT INTO my_sparse_table
+SELECT
+number,
+number % 20 = 0 ? toString(number): ''
+FROM
+numbers(10000000);
+```
+
+`my_sparse_table` の `s` カラムは、ディスク上のストレージ使用量が少なくなっていることに注目してください。
+
+```sql
+SELECT table, name, data_compressed_bytes, data_uncompressed_bytes FROM system.columns
+WHERE table LIKE 'my_%_table';
+```
+
+```response
+┌─table────────────┬─name─┬─data_compressed_bytes─┬─data_uncompressed_bytes─┐
+│ my_regular_table │ id   │              37790741 │                75488328 │
+│ my_regular_table │ s    │               2451377 │                12683106 │
+│ my_sparse_table  │ id   │              37790741 │                75488328 │
+│ my_sparse_table  │ s    │               2283454 │                 9855751 │
+└──────────────────┴──────┴───────────────────────┴─────────────────────────┘
+```
+
+カラムがスパースエンコーディングを使用しているかどうかは、`system.parts_columns` テーブルの `serialization_kind` カラムを参照して確認できます。
+
+```sql
+SELECT column, serialization_kind FROM system.parts_columns
+WHERE table LIKE 'my_sparse_table';
+```
+
+`s` のうち、どのパーツがスパースシリアル化で保存されているかを確認できます。
+
+```response
+┌─column─┬─serialization_kind─┐
+│ id     │ Default            │
+│ s      │ Default            │
+│ id     │ Default            │
+│ s      │ Default            │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+│ id     │ Default            │
+│ s      │ Sparse             │
+└────────┴────────────────────┘
+```
+
+
+## reduce_blocking_parts_sleep_ms {#reduce_blocking_parts_sleep_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "5000"},{"label": "Cloud sync"}]}]}/>
+
+ClickHouse Cloud でのみ利用可能です。範囲が削除/置換されなかった場合に、ブロックされているパーツの削減を再試行するまで待機する最小時間です。値を小さくすると、`background_schedule_pool` 内のタスクが頻繁にトリガーされ、大規模クラスターでは ZooKeeper へのリクエストが大量に発生します。
+
+## refresh_parts_interval {#refresh_parts_interval} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.4"},{"label": "0"},{"label": "A new setting"}]}]}/>
+
+ゼロより大きい値に設定されている場合、基盤となるファイルシステムからデータパーツの一覧を更新し、裏側でデータが更新されていないかを確認します。
+テーブルが読み取り専用ディスク上にある場合にのみ設定できます（これは、そのテーブルが読み取り専用レプリカであり、データは別のレプリカから書き込まれていることを意味します）。
+
+## refresh_statistics_interval {#refresh_statistics_interval} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+統計キャッシュの更新間隔（秒）。0 に設定すると、更新は行われません。
+
+## remote_fs_execute_merges_on_single_replica_time_threshold {#remote_fs_execute_merges_on_single_replica_time_threshold} 
+
+<SettingsInfoBlock type="Seconds" default_value="10800" />
+
+この設定が 0 より大きい値に設定されている場合、マージされたパーツが共有ストレージ上にあるときは、単一のレプリカのみが直ちにマージを開始します。
+
+:::note
+Zero-copy レプリケーションはまだ本番環境での利用に適していません
+Zero-copy レプリケーションは ClickHouse バージョン 22.8 以降ではデフォルトで無効になっています。
+
+この機能は本番環境での使用は推奨されません。
+:::
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## remote_fs_zero_copy_path_compatible_mode {#remote_fs_zero_copy_path_compatible_mode} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+変換処理中は、互換モードでゼロコピーを実行します。
+
+## remote_fs_zero_copy_zookeeper_path {#remote_fs_zero_copy_zookeeper_path} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="String" default_value="/clickhouse/zero_copy" />
+
+zero-copy に関するテーブル非依存の情報を格納するための ZooKeeper パス。
+
+## remove_empty_parts {#remove_empty_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+有効期限 (TTL)、mutation、または collapsing マージアルゴリズムによる処理の結果、空になったパーツを削除します。
+
+## remove_rolled_back_parts_immediately {#remove_rolled_back_parts_immediately} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+未完成の実験的機能用の設定です。
+
+## remove_unused_patch_parts {#remove_unused_patch_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "1"},{"label": "New setting"}]}]}/>
+
+バックグラウンドで、すべてのアクティブなパーツに適用済みのパッチパーツを削除します。
+
+## replace_long_file_name_to_hash {#replace_long_file_name_to_hash} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+カラムのファイル名が長すぎる（`max_file_name_length` バイトを超える）場合、SipHash128 の値に置き換えます。
+
+## replicated_can_become_leader {#replicated_can_become_leader} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+true の場合、このノード上のレプリケーテッドテーブルのレプリカはリーダーの役割を獲得しようとします。
+
+設定可能な値:
+
+- `true`
+- `false`
+
+## replicated_deduplication_window {#replicated_deduplication_window} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "10000"},{"label": "デフォルト値の増加"}]}]}/>
+
+ClickHouse Keeper が重複チェックのためのハッシュサムを保持する対象となる、直近で挿入されたブロックの数。
+
+設定可能な値:
+
+- 任意の正の整数。
+- 0（重複排除を無効にする）
+
+`Insert` コマンドは 1 つ以上のブロック（パーツ）を作成します。
+[挿入の重複排除](../../engines/table-engines/mergetree-family/replication.md)では、
+レプリケーテッドテーブルに書き込む際、ClickHouse は作成されたパーツの
+ハッシュサムを ClickHouse Keeper に書き込みます。ハッシュサムは直近の
+`replicated_deduplication_window` 個のブロックについてのみ保存されます。
+最も古いハッシュサムは ClickHouse Keeper から削除されます。
+
+`replicated_deduplication_window` の値が大きいと、比較するエントリ数が増えるため
+`Insert` が遅くなります。ハッシュサムは、フィールド名と型の構成および挿入された
+パーツ（バイト列）のデータから計算されます。
+
+## replicated_deduplication_window_for_async_inserts {#replicated_deduplication_window_for_async_inserts} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+ClickHouse Keeper が重複チェックのためにハッシュ値を保持しておく、
+非同期インサートされた直近のブロックの数。
+
+設定可能な値:
+
+- 任意の正の整数。
+- 0（`async_inserts` に対する重複排除を無効化）
+
+[Async Insert](/operations/settings/settings#async_insert) コマンドは、
+1 つ以上のブロック（パーツ）にキャッシュされます。[insert deduplication](/engines/table-engines/mergetree-family/replication)
+のため、レプリケートテーブルに書き込む際、ClickHouse は各 insert の
+ハッシュ値を ClickHouse Keeper に書き込みます。ハッシュ値は、直近の
+`replicated_deduplication_window_for_async_inserts` 個のブロックについてのみ
+保存されます。最も古いハッシュ値は ClickHouse Keeper から削除されます。
+`replicated_deduplication_window_for_async_inserts` の値が大きいと、
+より多くのエントリを比較する必要があるため、`Async Inserts` が遅くなります。
+ハッシュ値は、フィールド名と型の組み合わせおよび INSERT のデータ
+（バイトストリーム）から計算されます。
+
+## replicated_deduplication_window_seconds {#replicated_deduplication_window_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="3600" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.10"},{"label": "3600"},{"label": "decrease default value"}]}]}/>
+
+挿入されたブロックのハッシュ値が ClickHouse Keeper から削除されるまでの秒数。
+
+可能な値:
+
+- 任意の正の整数。
+
+[replicated_deduplication_window](#replicated_deduplication_window) と同様に、
+`replicated_deduplication_window_seconds` は、挿入の重複排除のためにブロックの
+ハッシュ値をどれだけの期間保持するかを指定します。
+`replicated_deduplication_window_seconds` より古いハッシュ値は、
+`replicated_deduplication_window` より小さい場合でも ClickHouse Keeper から削除されます。
+
+この時間はウォールクロック時間ではなく、最新レコードの時刻を基準とします。
+そのレコードが唯一のものである場合は、無期限に保持されます。
+
+## replicated_deduplication_window_seconds_for_async_inserts {#replicated_deduplication_window_seconds_for_async_inserts} 
+
+<SettingsInfoBlock type="UInt64" default_value="604800" />
+
+非同期挿入のハッシュ値が ClickHouse Keeper から削除されるまでの秒数。
+
+可能な値:
+
+- 任意の正の整数。
+
+[replicated_deduplication_window_for_async_inserts](#replicated_deduplication_window_for_async_inserts) と同様に、
+`replicated_deduplication_window_seconds_for_async_inserts` は、非同期挿入の重複排除のために
+ブロックのハッシュ値をどれくらいの期間保持するかを指定します。
+`replicated_deduplication_window_seconds_for_async_inserts` より古いハッシュ値は、
+`replicated_deduplication_window_for_async_inserts` より小さい場合でも
+ClickHouse Keeper から削除されます。
+
+時間はウォールクロック時刻ではなく、最新レコードの時刻に対して相対的です。
+それが唯一のレコードであるかぎり、永久に保存されます。
+
+## replicated_fetches_http_connection_timeout {#replicated_fetches_http_connection_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />
+
+この設定は廃止されており、何の効果もありません。
+
+## replicated_fetches_http_receive_timeout {#replicated_fetches_http_receive_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />
+
+廃止された設定で、現在は何の効果もありません。
+
+## replicated_fetches_http_send_timeout {#replicated_fetches_http_send_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="0" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## replicated_max_mutations_in_one_entry {#replicated_max_mutations_in_one_entry} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+1 つの MUTATE_PART エントリ内でマージして一度に実行できる mutation コマンドの最大数（0 は無制限）
+
+## replicated_max_parallel_fetches {#replicated_max_parallel_fetches} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+廃止された設定で、何の効果もありません。
+
+## replicated_max_parallel_fetches_for_host {#replicated_max_parallel_fetches_for_host} 
+
+<SettingsInfoBlock type="UInt64" default_value="15" />
+
+廃止された設定であり、現在は効果がありません。
+
+## replicated_max_parallel_fetches_for_table {#replicated_max_parallel_fetches_for_table} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+廃止された設定であり、現在は効果がありません。
+
+## replicated_max_parallel_sends {#replicated_max_parallel_sends} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+廃止された設定であり、現在は何も行いません。
+
+## replicated_max_parallel_sends_for_table {#replicated_max_parallel_sends_for_table} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+廃止された設定で、現在は何の効果もありません。
+
+## replicated_max_ratio_of_wrong_parts {#replicated_max_ratio_of_wrong_parts} 
+
+<SettingsInfoBlock type="Float" default_value="0.5" />
+
+誤ったパーツ数とパーツ総数の比率がこの値未満の場合は、
+起動を許可します。
+
+取りうる値:
+
+- Float, 0.0 - 1.0
+
+## search_orphaned_parts_disks {#search_orphaned_parts_disks} 
+
+<SettingsInfoBlock type="SearchOrphanedPartsDisks" default_value="any" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "any"},{"label": "New setting"}]}]}/>
+
+ClickHouse は、データパーツが未定義（ポリシーに含まれていない）なディスク上に存在して取りこぼされることがないよう、任意の ATTACH または CREATE テーブル実行時にすべてのディスクを走査して孤立パーツを検索します。
+孤立パーツは、ディスクがストレージポリシーから除外された場合など、安全でないストレージ再構成によって発生する可能性があります。
+この設定は、ディスクの属性に基づいて、検索対象とするディスクの範囲を制限します。
+
+設定可能な値:
+
+- any - 範囲は制限されません。
+- local - 範囲はローカルディスクに限定されます。
+- none - 空の範囲。検索を実行しません。
+
+## serialization_info_version {#serialization_info_version} 
+
+<SettingsInfoBlock type="MergeTreeSerializationInfoVersion" default_value="with_types" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "with_types"},{"label": "カスタム文字列シリアル化を可能にする新しい形式への変更"}]}, {"id": "row-2","items": [{"label": "25.10"},{"label": "basic"},{"label": "新しい設定"}]}]}/>
+
+`serialization.json` の書き込み時に使用されるシリアル化情報バージョン。
+この設定は、クラスターのアップグレード時の互換性を確保するために必要です。
+
+設定可能な値:
+
+- `basic` - 基本的な形式。
+- `with_types` - 追加の `types_serialization_versions` フィールドを持つ形式で、型ごとにシリアル化バージョンを指定できます。
+  これにより `string_serialization_version` のような設定が有効になります。
+
+ローリングアップグレード中は、`basic` に設定して、新しいサーバーが
+古いサーバーと互換性のあるデータ パーツを生成するようにします。アップグレード完了後は、
+型ごとのシリアル化バージョンを有効にするために `WITH_TYPES` に切り替えます。
+
+## shared_merge_tree_activate_coordinated_merges_tasks {#shared_merge_tree_activate_coordinated_merges_tasks} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "0"},{"label": "New settings"}]}, {"id": "row-2","items": [{"label": "25.8"},{"label": "0"},{"label": "New settings"}]}, {"id": "row-3","items": [{"label": "25.7"},{"label": "0"},{"label": "New settings"}]}, {"id": "row-4","items": [{"label": "25.6"},{"label": "0"},{"label": "New settings"}]}, {"id": "row-5","items": [{"label": "25.10"},{"label": "0"},{"label": "New settings"}]}]}/>
+
+協調マージタスクの再スケジューリングを有効にします。  
+`shared_merge_tree_enable_coordinated_merges=0` の場合でも、マージコーディネータの統計情報が蓄積され、コールドスタート時の挙動改善に役立つため有用です。
+
+## shared_merge_tree_create_per_replica_metadata_nodes {#shared_merge_tree_create_per_replica_metadata_nodes} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "0"},{"label": "Keeper 内のメタデータ量を削減します。"}]}, {"id": "row-2","items": [{"label": "25.1"},{"label": "1"},{"label": "Cloud との同期"}]}]}/>
+
+ZooKeeper で、レプリカごとの /metadata および /columns ノードの作成を有効にします。
+ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_disable_merges_and_mutations_assignment {#shared_merge_tree_disable_merges_and_mutations_assignment} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+SharedMergeTree に対するマージの割り当てを停止します。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_empty_partition_lifetime {#shared_merge_tree_empty_partition_lifetime} 
+
+<SettingsInfoBlock type="Seconds" default_value="86400" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "86400"},{"label": "New setting"}]}]}/>
+
+パーツを持たないパーティションを Keeper 内に保持しておく時間（秒）。
+
+## shared_merge_tree_enable_automatic_empty_partitions_cleanup {#shared_merge_tree_enable_automatic_empty_partitions_cleanup} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+空のパーティションに対応する Keeper エントリのクリーンアップを有効にします。
+
+## shared_merge_tree_enable_coordinated_merges {#shared_merge_tree_enable_coordinated_merges} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+協調的マージ戦略を有効にします
+
+## shared_merge_tree_enable_keeper_parts_extra_data {#shared_merge_tree_enable_keeper_parts_extra_data} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.3"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+仮想パーツに属性を書き込み、Keeper でブロックをコミットできるようにします
+
+## shared_merge_tree_enable_outdated_parts_check {#shared_merge_tree_enable_outdated_parts_check} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1"},{"label": "Cloud sync"}]}]}/>
+
+古くなったパーツのチェックを有効にします。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_idle_parts_update_seconds {#shared_merge_tree_idle_parts_update_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="3600" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "3600"},{"label": "Cloud 同期"}]}]}/>
+
+shared merge tree において、ZooKeeper のウォッチによってトリガーされないパーツ更新を行うための秒単位の間隔。ClickHouse Cloud でのみ利用可能です
+
+## shared_merge_tree_initial_parts_update_backoff_ms {#shared_merge_tree_initial_parts_update_backoff_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="50" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "50"},{"label": "New setting"}]}]}/>
+
+パーツ更新の初期バックオフ時間。ClickHouse Cloud でのみ利用可能です
+
+## shared_merge_tree_interserver_http_connection_timeout_ms {#shared_merge_tree_interserver_http_connection_timeout_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "100"},{"label": "新しい設定"}]}]}/>
+
+サーバー間 HTTP 接続のタイムアウト値。ClickHouse Cloud でのみ利用可能です
+
+## shared_merge_tree_interserver_http_timeout_ms {#shared_merge_tree_interserver_http_timeout_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="10000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "10000"},{"label": "Cloud sync"}]}]}/>
+
+サーバー間 HTTP 通信のタイムアウト値。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_leader_update_period_random_add_seconds {#shared_merge_tree_leader_update_period_random_add_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "10"},{"label": "Cloud sync"}]}]}/>
+
+shared_merge_tree_leader_update_period に対して、0〜x 秒の一様分布からの値を加算し、
+thundering herd 問題を回避します。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_leader_update_period_seconds {#shared_merge_tree_leader_update_period_seconds} 
+
+<SettingsInfoBlock type="UInt64" default_value="30" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "30"},{"label": "Cloud sync"}]}]}/>
+
+パーツ更新におけるリーダー権限を再確認する最大間隔。
+ClickHouse Cloud でのみ利用可能。
+
+## shared_merge_tree_max_outdated_parts_to_process_at_once {#shared_merge_tree_max_outdated_parts_to_process_at_once} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1000"},{"label": "Cloud sync"}]}]}/>
+
+1 回の HTTP リクエストで、リーダーが削除対象として確認を試みる古いパーツの最大数です。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_max_parts_update_backoff_ms {#shared_merge_tree_max_parts_update_backoff_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="5000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "5000"},{"label": "新しい設定"}]}]}/>
+
+パーツ更新のための最大バックオフ時間。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_max_parts_update_leaders_in_total {#shared_merge_tree_max_parts_update_leaders_in_total} 
+
+<SettingsInfoBlock type="UInt64" default_value="6" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "6"},{"label": "Cloud sync"}]}]}/>
+
+パーツの更新リーダーの最大数です。ClickHouse Cloud でのみ利用可能です
+
+## shared_merge_tree_max_parts_update_leaders_per_az {#shared_merge_tree_max_parts_update_leaders_per_az} 
+
+<SettingsInfoBlock type="UInt64" default_value="2" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "2"},{"label": "Cloud sync"}]}]}/>
+
+パーツ更新リーダーの最大数です。ClickHouse Cloud でのみ利用可能です
+
+## shared_merge_tree_max_replicas_for_parts_deletion {#shared_merge_tree_max_replicas_for_parts_deletion} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "10"},{"label": "Cloud sync"}]}]}/>
+
+パーツ削除（killer thread）に参加するレプリカの最大数。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_max_replicas_to_merge_parts_for_each_parts_range {#shared_merge_tree_max_replicas_to_merge_parts_for_each_parts_range} 
+
+<SettingsInfoBlock type="UInt64" default_value="5" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "5"},{"label": "Cloud sync"}]}]}/>
+
+競合する可能性のあるマージの割り当てを試行するレプリカの最大数（マージ割り当て時の冗長な競合を回避するため）。0 を指定すると無効になります。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_max_suspicious_broken_parts {#shared_merge_tree_max_suspicious_broken_parts} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "0"},{"label": "SMT における疑わしい破損パーツの最大数。この値を超える場合は自動デタッチを拒否します。"}]}]}/>
+
+SMT における疑わしい破損パーツの最大数。この値を超える場合は自動デタッチを拒否します。
+
+## shared_merge_tree_max_suspicious_broken_parts_bytes {#shared_merge_tree_max_suspicious_broken_parts_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "0"},{"label": "SMT におけるすべての破損パーツの合計サイズの上限。この値を超える場合は自動 detach を拒否する。"}]}]}/>
+
+SMT におけるすべての破損パーツの合計サイズの上限。この値を超えると自動 detach を拒否する。
+
+## shared_merge_tree_memo_ids_remove_timeout_seconds {#shared_merge_tree_memo_ids_remove_timeout_seconds} 
+
+<SettingsInfoBlock type="Int64" default_value="1800" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1800"},{"label": "Cloud sync"}]}]}/>
+
+挿入の再試行時に誤った動作を避けるために、挿入時のメモ化 ID をどのくらいの期間保持するかを指定します。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_merge_coordinator_election_check_period_ms {#shared_merge_tree_merge_coordinator_election_check_period_ms} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Milliseconds" default_value="30000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "30000"},{"label": "New setting"}]}]}/>
+
+merge coordinator の選出を行うスレッドの実行間隔
+
+## shared_merge_tree_merge_coordinator_factor {#shared_merge_tree_merge_coordinator_factor} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Float" default_value="1.1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "1.100000023841858"},{"label": "新しい設定"}]}, {"id": "row-2","items": [{"label": "25.10"},{"label": "1.100000023841858"},{"label": "負荷後のコーディネーターのスリープ時間を短縮"}]}]}/>
+
+コーディネータースレッドの遅延時間を調整する係数
+
+## shared_merge_tree_merge_coordinator_fetch_fresh_metadata_period_ms {#shared_merge_tree_merge_coordinator_fetch_fresh_metadata_period_ms} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Milliseconds" default_value="10000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "10000"},{"label": "New setting"}]}]}/>
+
+merge coordinator が最新のメタデータを取得するために ZooKeeper と同期する頻度
+
+## shared_merge_tree_merge_coordinator_max_merge_request_size {#shared_merge_tree_merge_coordinator_max_merge_request_size} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="UInt64" default_value="20" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "20"},{"label": "New setting"}]}]}/>
+
+coordinator が MergerMutator に対して一度に要求できるマージの数
+
+## shared_merge_tree_merge_coordinator_max_period_ms {#shared_merge_tree_merge_coordinator_max_period_ms} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Milliseconds" default_value="10000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "10000"},{"label": "New setting"}]}]}/>
+
+マージコーディネーター・スレッドの実行間隔の最大時間
+
+## shared_merge_tree_merge_coordinator_merges_prepare_count {#shared_merge_tree_merge_coordinator_merges_prepare_count} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "100"},{"label": "New setting"}]}]}/>
+
+コーディネーターが準備してワーカー間に分配するマージエントリの数
+
+## shared_merge_tree_merge_coordinator_min_period_ms {#shared_merge_tree_merge_coordinator_min_period_ms} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Milliseconds" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "1"},{"label": "New setting"}]}]}/>
+
+マージコーディネータースレッドの実行間隔の最小値
+
+## shared_merge_tree_merge_worker_fast_timeout_ms {#shared_merge_tree_merge_worker_fast_timeout_ms} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Milliseconds" default_value="100" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "100"},{"label": "New setting"}]}]}/>
+
+マージワーカースレッドが即時の処理の後に状態を更新する必要がある場合に使用されるタイムアウト値
+
+## shared_merge_tree_merge_worker_regular_timeout_ms {#shared_merge_tree_merge_worker_regular_timeout_ms} 
+
+<BetaBadge/>
+
+<SettingsInfoBlock type="Milliseconds" default_value="10000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.5"},{"label": "10000"},{"label": "New setting"}]}]}/>
+
+マージワーカースレッドが実行される間隔
+
+## shared_merge_tree_outdated_parts_group_size {#shared_merge_tree_outdated_parts_group_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="2" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "2"},{"label": "New setting"}]}]}/>
+
+古くなったパーツのクリーンアップを行う際に、同じランデブーハッシュグループに属するレプリカの数。
+ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_partitions_hint_ratio_to_reload_merge_pred_for_mutations {#shared_merge_tree_partitions_hint_ratio_to_reload_merge_pred_for_mutations} 
+
+<SettingsInfoBlock type="Float" default_value="0.5" />
+
+`<candidate partitions for mutations only (partitions that cannot be merged)>/<candidate partitions for mutations>` の比率がこの設定値より大きい場合に、merge/mutate の選択タスクで merge predicate を再読み込みします。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_parts_load_batch_size {#shared_merge_tree_parts_load_batch_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="32" />
+
+一度にスケジュールするパーツメタデータ取得ジョブの数。ClickHouse Cloud でのみ利用可能です
+
+## shared_merge_tree_postpone_next_merge_for_locally_merged_parts_ms {#shared_merge_tree_postpone_next_merge_for_locally_merged_parts_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "Cloud sync"}]}]}/>
+
+ローカルでマージされたパーツを、そのパーツを含む新しいマージを開始せずに保持しておく時間です。
+他のレプリカがそのパーツをフェッチし、このマージを開始できるようにするための猶予を与えます。
+ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_postpone_next_merge_for_locally_merged_parts_rows_threshold {#shared_merge_tree_postpone_next_merge_for_locally_merged_parts_rows_threshold} 
+
+<SettingsInfoBlock type="UInt64" default_value="1000000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1000000"},{"label": "Cloud sync"}]}]}/>
+
+ローカルでマージした直後に、そのパーツへの次のマージの割り当てを延期するための、パーツの最小サイズ（行数）。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_range_for_merge_window_size {#shared_merge_tree_range_for_merge_window_size} 
+
+<SettingsInfoBlock type="UInt64" default_value="10" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "10"},{"label": "Cloud sync"}]}]}/>
+
+このパーツを含む新しいマージを開始せずに、ローカルでマージ済みパーツを保持しておく時間。
+他のレプリカがそのパーツをフェッチして、このマージを開始できるようにするための猶予を与えます。
+ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_read_virtual_parts_from_leader {#shared_merge_tree_read_virtual_parts_from_leader} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1"},{"label": "Cloud sync"}]}]}/>
+
+可能な場合には、リーダーから仮想パーツを読み取ります。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_try_fetch_part_in_memory_data_from_replicas {#shared_merge_tree_try_fetch_part_in_memory_data_from_replicas} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "他のレプリカからメモリ上のパーツデータを取得するための新しい設定"}]}]}/>
+
+有効にすると、すべてのレプリカが、すでにデータが存在している他のレプリカから、メモリ上のパーツデータ（プライマリキー、パーティション情報など）を取得しようとします。
+
+## shared_merge_tree_update_replica_flags_delay_ms {#shared_merge_tree_update_replica_flags_delay_ms} 
+
+<SettingsInfoBlock type="Milliseconds" default_value="30000" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "30000"},{"label": "新しい設定"}]}]}/>
+
+バックグラウンドスケジュールに従って、レプリカがフラグを再読み込みしようとする間隔を指定します。
+
+## shared_merge_tree_use_metadata_hints_cache {#shared_merge_tree_use_metadata_hints_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "1"},{"label": "Cloud sync"}]}]}/>
+
+有効にすると、他のレプリカ上のインメモリキャッシュから FS キャッシュのヒントを要求できるようになります。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_use_outdated_parts_compact_format {#shared_merge_tree_use_outdated_parts_compact_format} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "1"},{"label": "古いパーツ v3 をデフォルトで有効化"}]}, {"id": "row-2","items": [{"label": "25.1"},{"label": "0"},{"label": "Cloud 同期"}]}]}/>
+
+古いパーツにコンパクト形式を使用します。Keeper への負荷を軽減し、古いパーツの処理を改善します。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_use_too_many_parts_count_from_virtual_parts {#shared_merge_tree_use_too_many_parts_count_from_virtual_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.1"},{"label": "0"},{"label": "Cloud sync"}]}]}/>
+
+有効化すると、「too many parts」カウンタはローカルレプリカの状態ではなく、Keeper 内で共有されるデータに基づいて動作します。ClickHouse Cloud でのみ利用可能です。
+
+## shared_merge_tree_virtual_parts_discovery_batch {#shared_merge_tree_virtual_parts_discovery_batch} 
+
+<ExperimentalBadge/>
+
+<SettingsInfoBlock type="UInt64" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "1"},{"label": "New setting"}]}]}/>
+
+1 回のバッチでまとめて実行するパーティション検出の数を指定します
+
+## simultaneous_parts_removal_limit {#simultaneous_parts_removal_limit} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+多くの古いパーツが存在する場合、クリーンアップスレッドは 1 回のイテレーションごとに最大
+`simultaneous_parts_removal_limit` 個のパーツを削除しようとします。
+`simultaneous_parts_removal_limit` が `0` に設定されている場合は、無制限を意味します。
+
+## sleep_before_commit_local_part_in_replicated_table_ms {#sleep_before_commit_local_part_in_replicated_table_ms} 
+
+<SettingsInfoBlock type="Milliseconds" default_value="0" />
+
+テスト目的で使用します。変更しないでください。
+
+## sleep_before_loading_outdated_parts_ms {#sleep_before_loading_outdated_parts_ms} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+テスト目的の設定です。変更しないでください。
+
+## storage_policy {#storage_policy} 
+
+<SettingsInfoBlock type="String" default_value="default" />
+
+ストレージディスクのポリシー名
+
+## string_serialization_version {#string_serialization_version} 
+
+<SettingsInfoBlock type="MergeTreeStringSerializationVersion" default_value="with_size_stream" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.11"},{"label": "with_size_stream"},{"label": "サイズを別ストリームで扱う新しい形式に変更"}]}, {"id": "row-2","items": [{"label": "25.10"},{"label": "single_stream"},{"label": "新しい設定を追加"}]}]}/>
+
+トップレベルの `String` カラムに対するシリアライズ形式を制御します。
+
+この設定が有効になるのは、`serialization_info_version` が "with_types" に設定されている場合のみです。
+`with_size_stream` に設定すると、トップレベルの `String` カラムはインラインではなく、
+文字列長を保持する `.size` サブカラムを別途用いてシリアライズされます。これにより実際の `.size`
+サブカラムを利用でき、圧縮効率が向上する可能性があります。
+
+ネストされた `String` 型（例: `Nullable`、`LowCardinality`、`Array`、`Map` 内）は、
+`Tuple` 内に現れる場合を除き、影響を受けません。
+
+指定可能な値:
+
+- `single_stream` — サイズをインラインで保持する標準的なシリアライズ形式を使用します。
+- `with_size_stream` — トップレベルの `String` カラムに対し、サイズ用の別ストリームを使用します。
+
+## table_disk {#table_disk} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.2"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+これは table disk であり、パスやエンドポイントはテーブルデータを指すように指定し、データベース全体のデータを指してはいけません。この設定は s3_plain/s3_plain_rewritable/web に対してのみ指定できます。
+
+## temporary_directories_lifetime {#temporary_directories_lifetime} 
+
+<SettingsInfoBlock type="Seconds" default_value="86400" />
+
+`tmp_` ディレクトリを保持しておく時間（秒）を指定します。この値を下げるべきではありません。
+この設定の値が低すぎると、マージやミューテーション（merge, mutation）が正常に動作しない可能性があります。
+
+## try_fetch_recompressed_part_timeout {#try_fetch_recompressed_part_timeout} 
+
+<SettingsInfoBlock type="Seconds" default_value="7200" />
+
+再圧縮を伴うマージを開始するまでのタイムアウト（秒単位）。この時間中、ClickHouse は、この再圧縮マージが割り当てられているレプリカから再圧縮済みパーツのフェッチを試みます。
+
+多くの場合、再圧縮は処理が遅いため、このタイムアウトに達するまでは再圧縮を伴うマージを開始せず、代わりに、この再圧縮マージが割り当てられているレプリカから再圧縮済みパーツのフェッチを試みます。
+
+設定可能な値:
+
+- 任意の正の整数。
+
+## ttl_only_drop_parts {#ttl_only_drop_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+MergeTree テーブルのパーツ内のすべての行が `TTL` 設定に従って有効期限 (TTL) 切れとなった場合に、そのパーツを丸ごと削除するかどうかを制御します。
+
+`ttl_only_drop_parts` が無効（デフォルト）の場合、`TTL` 設定に基づいて有効期限が切れた行だけが削除されます。
+
+`ttl_only_drop_parts` が有効な場合、そのパーツ内のすべての行の有効期限 (TTL) が切れていれば、パーツ全体が削除されます。
+
+## use_adaptive_write_buffer_for_dynamic_subcolumns {#use_adaptive_write_buffer_for_dynamic_subcolumns} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+動的サブカラムの書き込み時にアダプティブな書き込みバッファーを使用できるようにし、メモリ使用量を削減します
+
+## use_async_block_ids_cache {#use_async_block_ids_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+true の場合、非同期 insert のハッシュ値をキャッシュします。
+
+設定可能な値:
+
+- `true`
+- `false`
+
+複数の非同期 insert を含むブロックは、複数のハッシュ値を生成します。
+一部の insert が重複している場合、Keeper は 1 回の RPC で重複しているハッシュ値を 1 つだけ返すため、不要な RPC の再試行が発生します。
+このキャッシュは Keeper 内のハッシュ値のパスを監視します。Keeper で更新が検知されると、キャッシュは可能な限り早く更新され、それによってメモリ上で重複した insert をフィルタリングできるようになります。
+
+## use_compact_variant_discriminators_serialization {#use_compact_variant_discriminators_serialization} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+Variant データ型の discriminator をバイナリシリアライズする際のコンパクトモードを有効にします。
+このモードでは、格納されている値のほとんどが 1 種類の Variant であるか、NULL 値が大量に存在する場合に、パーツ内で discriminator を格納するために必要なメモリ使用量を大幅に削減できます。
+
+## use_const_adaptive_granularity {#use_const_adaptive_granularity} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+パーツ全体に対して常に一定の粒度を使用します。これにより、索引の粒度値をメモリ内で圧縮できます。これは、列数の少ないテーブルを扱う非常に大規模なワークロードで有用な場合があります。
+
+## use_metadata_cache {#use_metadata_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+廃止された設定で、現在は何の効果もありません。
+
+## use_minimalistic_checksums_in_zookeeper {#use_minimalistic_checksums_in_zookeeper} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+ZooKeeper 内のパーツのチェックサムには、通常の形式（数十 KB）ではなく、より小さい形式（数十バイト）を使用します。設定を有効にする前に、すべてのレプリカが新しい形式をサポートしていることを確認してください。
+
+## use_minimalistic_part_header_in_zookeeper {#use_minimalistic_part_header_in_zookeeper} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+ZooKeeper におけるデータパーツのヘッダーの格納方法を指定します。有効にすると、ZooKeeper
+に保存されるデータ量が少なくなります。詳細は[こちら](/operations/server-configuration-parameters/settings#use_minimalistic_part_header_in_zookeeper)を参照してください。
+
+## use_primary_key_cache {#use_primary_key_cache} 
+
+<SettingsInfoBlock type="Bool" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "24.12"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+すべての索引をメモリ上に保持する代わりに、プライマリキー索引用のキャッシュを使用します。特に非常に大きなテーブルで有用です。
+
+## vertical_merge_algorithm_min_bytes_to_activate {#vertical_merge_algorithm_min_bytes_to_activate} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+縦方向マージアルゴリズムを有効化するための、マージ対象パーツの非圧縮サイズ（バイト単位）の最小（おおよその）合計値。
+
+## vertical_merge_algorithm_min_columns_to_activate {#vertical_merge_algorithm_min_columns_to_activate} 
+
+<SettingsInfoBlock type="UInt64" default_value="11" />
+
+Vertical マージアルゴリズムを有効化するために必要な、主キー (PK) 以外のカラム数の最小値。
+
+## vertical_merge_algorithm_min_rows_to_activate {#vertical_merge_algorithm_min_rows_to_activate} 
+
+<SettingsInfoBlock type="UInt64" default_value="131072" />
+
+Vertical merge アルゴリズムを有効化するために必要な、
+マージ対象パーツ内の行数の最小（概算）合計値。
+
+## vertical_merge_optimize_lightweight_delete {#vertical_merge_optimize_lightweight_delete} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.9"},{"label": "1"},{"label": "New setting"}]}]}/>
+
+true の場合、垂直マージ時の論理削除の最適化が有効になります。
+
+## vertical_merge_remote_filesystem_prefetch {#vertical_merge_remote_filesystem_prefetch} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+true の場合、マージ時に次のカラム用のデータをリモートファイルシステムから先読みします
+
+## wait_for_unique_parts_send_before_shutdown_ms {#wait_for_unique_parts_send_before_shutdown_ms} 
+
+<SettingsInfoBlock type="Milliseconds" default_value="0" />
+
+シャットダウン前に、テーブルは現在のレプリカにのみ存在するユニークなパーツが他のレプリカによってフェッチされるまで、設定された時間だけ待機します（0 の場合は無効）。
+
+## write_ahead_log_bytes_to_fsync {#write_ahead_log_bytes_to_fsync} 
+
+<SettingsInfoBlock type="UInt64" default_value="104857600" />
+
+この設定は廃止されており、現在は効果を持ちません。
+
+## write_ahead_log_interval_ms_to_fsync {#write_ahead_log_interval_ms_to_fsync} 
+
+<SettingsInfoBlock type="UInt64" default_value="100" />
+
+この設定は廃止されており、何の効果もありません。
+
+## write_ahead_log_max_bytes {#write_ahead_log_max_bytes} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />
+
+廃止された設定であり、現在は何の効果もありません。
+
+## write_final_mark {#write_final_mark} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+廃止された設定であり、現在は何も行いません。
+
+## write_marks_for_substreams_in_compact_parts {#write_marks_for_substreams_in_compact_parts} 
+
+<SettingsInfoBlock type="Bool" default_value="1" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.8"},{"label": "1"},{"label": "デフォルトで Compact パーツ内のサブストリームに対してマークを書き込むように有効化"}]}, {"id": "row-2","items": [{"label": "25.5"},{"label": "0"},{"label": "新しい設定"}]}]}/>
+
+Compact パーツ内で、カラムごとではなくサブストリームごとにマークを書き込むことを有効化します。
+これにより、データパーツから個々のサブカラムを効率よく読み取ることができます。
+
+例えば、カラム `t Tuple(a String, b UInt32, c Array(Nullable(UInt32)))` は次のサブストリームにシリアライズされます:
+
+- タプル要素 `a` の String データ用の `t.a`
+- タプル要素 `b` の UInt32 データ用の `t.b`
+- タプル要素 `c` の配列サイズ用の `t.c.size0`
+- タプル要素 `c` の入れ子配列要素の null マップ用の `t.c.null`
+- タプル要素 `c` の入れ子配列要素の UInt32 データ用の `t.c`
+
+この設定が有効な場合、これら 5 つのサブストリームそれぞれにマークを書き込みます。つまり、必要に応じてグラニュールから各サブストリームのデータを個別に読み取ることができます。例えば、サブカラム `t.c` を読み取りたい場合は、サブストリーム `t.c.size0`、`t.c.null`、`t.c` のデータのみを読み取り、サブストリーム `t.a` および `t.b` からはデータを読み取りません。この設定が無効な場合は、
+トップレベルカラム `t` に対してのみマークを書き込みます。これは、特定のサブストリームのデータだけが必要な場合でも、常にグラニュールからカラム全体のデータを読み取ることを意味します。
+
+## zero_copy_concurrent_part_removal_max_postpone_ratio {#zero_copy_concurrent_part_removal_max_postpone_ratio} 
+
+<SettingsInfoBlock type="Float" default_value="0.05" />
+
+より小さな独立した範囲を得るために、削除を延期するトップレベルパーツの最大割合です。変更しないことを推奨します。
+
+## zero_copy_concurrent_part_removal_max_split_times {#zero_copy_concurrent_part_removal_max_split_times} 
+
+<SettingsInfoBlock type="UInt64" default_value="5" />
+
+独立した Outdated パーツの範囲を、より小さなサブレンジに分割する際の再帰の最大深さです。変更しないことを推奨します。
+
+## zero_copy_merge_mutation_min_parts_size_sleep_before_lock {#zero_copy_merge_mutation_min_parts_size_sleep_before_lock} 
+
+<SettingsInfoBlock type="UInt64" default_value="1073741824" />
+
+zero-copy レプリケーションが有効になっている場合、マージまたはミューテーション対象のパーツサイズに応じて、ロックを取得しようとする前にランダムな時間だけ待機します
+
+## zero_copy_merge_mutation_min_parts_size_sleep_no_scale_before_lock {#zero_copy_merge_mutation_min_parts_size_sleep_no_scale_before_lock} 
+
+<SettingsInfoBlock type="UInt64" default_value="0" />
+
+<VersionHistory rows={[{"id": "row-1","items": [{"label": "25.3"},{"label": "0"},{"label": "New setting"}]}]}/>
+
+zero-copy レプリケーションが有効な場合、マージまたはミューテーションのロックを試行する前に、0〜500ms の範囲でランダムな時間だけスリープします。
+
+## zookeeper_session_expiration_check_period {#zookeeper_session_expiration_check_period} 
+
+<SettingsInfoBlock type="Seconds" default_value="60" />
+
+ZooKeeper セッションの有効期限をチェックする間隔（秒単位）。
+
+取り得る値:
+
+- 任意の正の整数。
\ No newline at end of file
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md b/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
new file mode 100644
index 00000000000..10aad2b30c5
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
@@ -0,0 +1,161 @@
+---
+description: '集約関数のランディングページ（集約関数の完全な一覧）'
+sidebar_position: 36
+slug: /sql-reference/aggregate-functions/reference/
+title: '集約関数'
+toc_folder_title: 'リファレンス'
+toc_hidden: true
+doc_type: 'landing-page'
+---
+
+# 集約関数 {#aggregate-functions}
+
+ClickHouse は、標準的な SQL 集約関数（[sum](../reference/sum.md)、[avg](../reference/avg.md)、[min](../reference/min.md)、[max](../reference/max.md)、[count](../reference/count.md)）に加えて、さらに幅広い集約関数をサポートしています。
+
+{/* このページの目次テーブルは、
+  https://github.com/ClickHouse/clickhouse-docs/blob/main/scripts/autogenerate-table-of-contents.sh
+  によって、YAML フロントマターの slug、description、title フィールドから自動生成されています。
+
+  誤りを見つけた場合は、該当ページの YAML フロントマターを編集してください。
+  */ }
+
+{/*AUTOGENERATED_START*/ }
+
+| ページ                                                                                                                         | 概要                                                                                                                                                                            |
+| --------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [aggThrow](/sql-reference/aggregate-functions/reference/aggthrow)                                                           | この関数は例外安全性をテストするために使用できます。指定した確率で、生成時に例外をスローします。                                                                                                                              |
+| [analysisOfVariance](/sql-reference/aggregate-functions/reference/analysis_of_variance)                                     | 一元配置分散分析（ANOVA）用の統計検定を提供します。これは、正規分布に従う複数のグループの観測値について、すべてのグループの平均が同一かどうかを判定するための検定です。                                                                                        |
+| [any](/sql-reference/aggregate-functions/reference/any)                                                                     | 指定したカラムで最初に出現した値を選択します。                                                                                                                                                       |
+| [anyHeavy](/sql-reference/aggregate-functions/reference/anyheavy)                                                           | heavy hitters アルゴリズムを使用して、頻繁に出現する値を選択します。各クエリ実行スレッドにおいて、全ケースの過半数で出現する値がある場合、その値が返されます。通常、結果は決定的ではありません。                                                                       |
+| [anyLast](/sql-reference/aggregate-functions/reference/anylast)                                                             | カラム内で最後に出現した値を返します。                                                                                                                                                           |
+| [approx&#95;top&#95;k](/sql-reference/aggregate-functions/reference/approxtopk)                                             | 指定されたカラム内で、おおよそ最も頻繁に出現する値とその出現回数の配列を返します。                                                                                                                                     |
+| [approx&#95;top&#95;sum](/sql-reference/aggregate-functions/reference/approxtopsum)                                         | 指定したカラムにおける、おおよそ最も頻出する値とその出現回数を配列で返します。                                                                                                                                       |
+| [argMax](/sql-reference/aggregate-functions/reference/argmax)                                                               | 最大の `val` に対応する `arg` を計算します。                                                                                                                                                 |
+| [argMin](/sql-reference/aggregate-functions/reference/argmin)                                                               | 最小の `val` 値に対応する `arg` の値を計算します。最小となる `val` が同じ行が複数ある場合、どの行の `arg` が返されるかは未定義です。                                                                                              |
+| [argAndMax](/sql-reference/aggregate-functions/reference/argandmax)                                                         | 最大の `val` 値に対応する `arg` と `val` の値を計算します。最大値となる `val` を持つ行が複数存在する場合、どの `arg` および `val` が返されるかは非決定的です。                                                                          |
+| [argAndMin](/sql-reference/aggregate-functions/reference/argandmin)                                                         | 最小の `val` 値に対する `arg` と `val` の値を計算します。最小となる同じ `val` を持つ行が複数ある場合、どの行に対応する `arg` と `val` が返されるかは保証されていません。                                                                     |
+| [groupArrayArray](/sql-reference/aggregate-functions/reference/grouparrayarray)                                             | 複数の配列をまとめて、それらを要素とする配列にします。                                                                                                                                                   |
+| [avg](/sql-reference/aggregate-functions/reference/avg)                                                                     | 算術平均を求めます。                                                                                                                                                                    |
+| [avgWeighted](/sql-reference/aggregate-functions/reference/avgweighted)                                                     | 加重算術平均を求めます。                                                                                                                                                                  |
+| [boundingRatio](/sql-reference/aggregate-functions/reference/boundingRatio)                                                 | 値のグループ内で、最も左端の点と最も右端の点の間の傾き（スロープ）を計算する集約関数です。                                                                                                                                 |
+| [categoricalInformationValue](/sql-reference/aggregate-functions/reference/categoricalinformationvalue)                     | 各カテゴリごとに `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` の値を計算します。                                                                                             |
+| [contingency](/sql-reference/aggregate-functions/reference/contingency)                                                     | `contingency` 関数は、連関係数（contingency coefficient）を計算します。これは、テーブル内の 2 つのカラム間の関連の強さを測定する値です。計算方法は `cramersV` 関数と似ていますが、平方根の中の分母が異なります。                                            |
+| [corr](/sql-reference/aggregate-functions/reference/corr)                                                                   | ピアソンの相関係数を計算します。                                                                                                                                                              |
+| [corrMatrix](/sql-reference/aggregate-functions/reference/corrmatrix)                                                       | N 個の変数に対する相関行列を計算します。                                                                                                                                                         |
+| [corrStable](/sql-reference/aggregate-functions/reference/corrstable)                                                       | Pearson の相関係数を、数値的に安定したアルゴリズムで計算します。                                                                                                                                          |
+| [count](/sql-reference/aggregate-functions/reference/count)                                                                 | 行数、または NULL 以外の値の数をカウントします。                                                                                                                                                   |
+| [covarPop](/sql-reference/aggregate-functions/reference/covarpop)                                                           | 母集団共分散を計算します                                                                                                                                                                  |
+| [covarPopMatrix](/sql-reference/aggregate-functions/reference/covarpopmatrix)                                               | N 個の変数間の母共分散行列を返します。                                                                                                                                                          |
+| [covarPopStable](/sql-reference/aggregate-functions/reference/covarpopstable)                                               | 母共分散を計算します                                                                                                                                                                    |
+| [covarSamp](/sql-reference/aggregate-functions/reference/covarsamp)                                                         | `Σ((x - x̅)(y - y̅)) / (n - 1)` の値を計算します                                                                                                                                      |
+| [covarSampMatrix](/sql-reference/aggregate-functions/reference/covarsampmatrix)                                             | N 個の変数間の標本共分散行列を返します。                                                                                                                                                         |
+| [covarSampStable](/sql-reference/aggregate-functions/reference/covarsampstable)                                             | covarSamp と同様ですが、計算誤差をより小さく抑えられる反面、動作は遅くなります。                                                                                                                                 |
+| [cramersV](/sql-reference/aggregate-functions/reference/cramersv)                                                           | `cramersV` 関数の結果は 0（変数間に全く連関がないことに対応）から 1 までの範囲を取り、各値が他方によって完全に一意に決定される場合にのみ 1 となります。これは、2 つの変数間の連関の強さを、それらのとりうる最大限の変動に対する割合として表したものとみなせます。                                   |
+| [cramersVBiasCorrected](/sql-reference/aggregate-functions/reference/cramersvbiascorrected)                                 | バイアス補正を適用した Cramer&#39;s V を計算します。                                                                                                                                            |
+| [deltaSum](/sql-reference/aggregate-functions/reference/deltasum)                                                           | 連続する行の値の差を合計します。                                                                                                                                                              |
+| [deltaSumTimestamp](/sql-reference/aggregate-functions/reference/deltasumtimestamp)                                         | 連続する行同士の差分を加算します。差分が負の場合は無視されます。                                                                                                                                              |
+| [entropy](/sql-reference/aggregate-functions/reference/entropy)                                                             | 値からなるカラムのシャノンエントロピーを計算します。                                                                                                                                                    |
+| [estimateCompressionRatio](/sql-reference/aggregate-functions/reference/estimateCompressionRatio)                           | 指定されたカラムに対して、実際に圧縮を行うことなく圧縮率を推定します。                                                                                                                                           |
+| [exponentialMovingAverage](/sql-reference/aggregate-functions/reference/exponentialMovingAverage)                           | 指定された期間における値の指数移動平均を計算します。                                                                                                                                                    |
+| [exponentialTimeDecayedAvg](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedAvg)                         | 時刻 `t` における時系列データの値に対する指数平滑加重移動平均を返します。                                                                                                                                       |
+| [exponentialTimeDecayedCount](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedCount)                     | 時間インデックス `t` における時系列データの累積的な指数減衰を返します。                                                                                                                                        |
+| [exponentialTimeDecayedMax](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedMax)                         | 時系列データに対して計算された指数平滑移動平均について、時間インデックス `t` における値と `t-1` における値のうち、大きい方の値を返します。                                                                                                   |
+| [exponentialTimeDecayedSum](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedSum)                         | 時間インデックス `t` における時系列の指数平滑移動平均値の総和を返します。                                                                                                                                       |
+| [first&#95;value](/sql-reference/aggregate-functions/reference/first_value)                                                 | これは `any` のエイリアスですが、Window Functions との互換性を保つために導入されました。Window Functions では `NULL` 値を処理する必要がある場合があり（デフォルトでは、すべての ClickHouse 集約関数は `NULL` 値を無視します）、そのために用いられます。                |
+| [flameGraph](/sql-reference/aggregate-functions/reference/flame_graph)                                                      | スタックトレースのリストからフレームグラフを生成する集約関数です。                                                                                                                                             |
+| [groupArray](/sql-reference/aggregate-functions/reference/grouparray)                                                       | 引数値の配列を作成します。配列への値の追加順序は任意（順序は未定義）です。                                                                                                                                         |
+| [groupArrayInsertAt](/sql-reference/aggregate-functions/reference/grouparrayinsertat)                                       | 配列の指定された位置に値を挿入します。                                                                                                                                                           |
+| [groupArrayIntersect](/sql-reference/aggregate-functions/reference/grouparrayintersect)                                     | 指定された配列の共通部分を返します（指定されたすべての配列に存在する要素を返します）。                                                                                                                                   |
+| [groupArrayLast](/sql-reference/aggregate-functions/reference/grouparraylast)                                               | 最後の引数の値から配列を作成します。                                                                                                                                                            |
+| [groupArrayMovingAvg](/sql-reference/aggregate-functions/reference/grouparraymovingavg)                                     | 入力値の移動平均を計算します。                                                                                                                                                               |
+| [groupArrayMovingSum](/sql-reference/aggregate-functions/reference/grouparraymovingsum)                                     | 入力値の移動合計を計算します。                                                                                                                                                               |
+| [groupArraySample](/sql-reference/aggregate-functions/reference/grouparraysample)                                           | サンプルとなる引数値の配列を作成します。生成される配列のサイズは `max_size` 個の要素に制限されます。引数値をランダムに選択して配列に追加します。                                                                                                |
+| [groupArraySorted](/sql-reference/aggregate-functions/reference/grouparraysorted)                                           | 先頭N個の要素を昇順に並べた配列を返します。                                                                                                                                                        |
+| [timeSeriesGroupArray](/sql-reference/aggregate-functions/reference/timeSeriesGroupArray)                                   | 時系列データをタイムスタンプで昇順に並べ替えます。                                                                                                                                                     |
+| [groupBitAnd](/sql-reference/aggregate-functions/reference/groupbitand)                                                     | 一連の数値に対してビット単位の `AND` を適用します。                                                                                                                                                 |
+| [groupBitmap](/sql-reference/aggregate-functions/reference/groupbitmap)                                                     | 符号なし整数カラムに対してビットマップまたは集約計算を行うと、UInt64 型の基数を返します。関数名にサフィックス `-State` を付けると、ビットマップオブジェクトを返します。                                                                                  |
+| [groupBitmapAnd](/sql-reference/aggregate-functions/reference/groupbitmapand)                                               | ビットマップカラム同士の AND を計算し、その結果の要素数を UInt64 型で返します。-State 接尾辞を付けると、ビットマップオブジェクトを返します。                                                                                              |
+| [groupBitmapOr](/sql-reference/aggregate-functions/reference/groupbitmapor)                                                 | ビットマップカラム同士の OR を計算し、その結果の基数を UInt64 型で返します。サフィックスに -State を付けると、ビットマップオブジェクトを返します。これは `groupBitmapMerge` と同等です。                                                              |
+| [groupBitmapXor](/sql-reference/aggregate-functions/reference/groupbitmapxor)                                               | ビットマップカラムの XOR を計算し、UInt64 型の要素数（cardinality）を返します。サフィックス -State を付けて使用した場合は、ビットマップオブジェクトを返します。                                                                               |
+| [groupBitOr](/sql-reference/aggregate-functions/reference/groupbitor)                                                       | 一連の数値に対してビット単位の `OR` 演算を行います。                                                                                                                                                 |
+| [groupBitXor](/sql-reference/aggregate-functions/reference/groupbitxor)                                                     | 数値列にビット単位の `XOR` を適用します。                                                                                                                                                      |
+| [groupUniqArray](/sql-reference/aggregate-functions/reference/groupuniqarray)                                               | さまざまな引数の値から配列を作成します。                                                                                                                                                          |
+| [intervalLengthSum](/sql-reference/aggregate-functions/reference/intervalLengthSum)                                         | 数値軸上のすべての区間の和集合の長さを計算します。                                                                                                                                                     |
+| [kolmogorovSmirnovTest](/sql-reference/aggregate-functions/reference/kolmogorovsmirnovtest)                                 | 2つの母集団からの標本に対して Kolmogorov-Smirnov 検定を適用します。                                                                                                                                  |
+| [kurtPop](/sql-reference/aggregate-functions/reference/kurtpop)                                                             | データ列の尖度を計算します。                                                                                                                                                                |
+| [kurtSamp](/sql-reference/aggregate-functions/reference/kurtsamp)                                                           | シーケンスの標本尖度を算出します。                                                                                                                                                             |
+| [largestTriangleThreeBuckets](/sql-reference/aggregate-functions/reference/largestTriangleThreeBuckets)                     | 入力データに Largest-Triangle-Three-Buckets アルゴリズムを適用します。                                                                                                                           |
+| [last&#95;value](/sql-reference/aggregate-functions/reference/last_value)                                                   | 最後に出現した値を選択します。`anyLast` と類似していますが、NULL も許容します。                                                                                                                               |
+| [mannWhitneyUTest](/sql-reference/aggregate-functions/reference/mannwhitneyutest)                                           | 2つの母集団から得られた標本に対して、Mann-Whitneyの順位検定を適用します。                                                                                                                                   |
+| [max](/sql-reference/aggregate-functions/reference/max)                                                                     | 値のグループにおける最大値を計算する集約関数です。                                                                                                                                                     |
+| [maxIntersections](/sql-reference/aggregate-functions/reference/maxintersections)                                           | 一連の区間について、区間同士が交差する回数の最大値を（すべての区間が少なくとも一度は互いに交差する場合に）計算する集約関数。                                                                                                                |
+| [maxIntersectionsPosition](/sql-reference/aggregate-functions/reference/maxintersectionsposition)                           | `maxIntersections` 関数が出現する位置を算出する集約関数。                                                                                                                                        |
+| [maxMap](/sql-reference/aggregate-functions/reference/maxmap)                                                               | `key` 配列で指定されたキーに従って、`value` 配列から最大値を求めます。                                                                                                                                    |
+| [meanZTest](/sql-reference/aggregate-functions/reference/meanztest)                                                         | 2つの母集団から得た標本に対して平均のZ検定を適用します。                                                                                                                                                 |
+| [median](/sql-reference/aggregate-functions/reference/median)                                                               | `median*` 関数は、対応する `quantile*` 関数のエイリアスです。数値データサンプルの中央値を計算します。                                                                                                                |
+| [min](/sql-reference/aggregate-functions/reference/min)                                                                     | 値のグループにおける最小値を計算する集約関数。                                                                                                                                                       |
+| [minMap](/sql-reference/aggregate-functions/reference/minmap)                                                               | `key` 配列で指定されたキーごとに、`value` 配列から最小値を計算します。                                                                                                                                    |
+| [quantile](/sql-reference/aggregate-functions/reference/quantile)                                                           | 数値データ列の近似分位数を計算します。                                                                                                                                                           |
+| [quantileBFloat16](/sql-reference/aggregate-functions/reference/quantilebfloat16)                                           | bfloat16 型の値からなるサンプルの近似分位数を計算します。                                                                                                                                             |
+| [quantileDD](/sql-reference/aggregate-functions/reference/quantileddsketch)                                                 | 相対誤差保証付きで標本の近似分位数を計算します。                                                                                                                                                      |
+| [quantileDeterministic](/sql-reference/aggregate-functions/reference/quantiledeterministic)                                 | 数値データのシーケンスに対して近似分位数を計算します。                                                                                                                                                   |
+| [quantileExact 関数](/sql-reference/aggregate-functions/reference/quantileexact)                                              | quantileExact, quantileExactLow, quantileExactHigh, quantileExactExclusive, quantileExactInclusive 関数                                                                         |
+| [quantileExactWeighted](/sql-reference/aggregate-functions/reference/quantileexactweighted)                                 | 各要素の重みを考慮して、数値データ列の分位数を正確に計算します。                                                                                                                                              |
+| [quantileGK](/sql-reference/aggregate-functions/reference/quantileGK)                                                       | Greenwald-Khanna アルゴリズムを使用して、数値データ列の分位数を計算します。                                                                                                                                |
+| [quantileExactWeightedInterpolated](/sql-reference/aggregate-functions/reference/quantileExactWeightedInterpolated)         | 各要素の重みを考慮し、数値データ系列の分位点を線形補間で計算します。                                                                                                                                            |
+| [quantileInterpolatedWeighted](/sql-reference/aggregate-functions/reference/quantileInterpolatedWeighted)                   | 各要素の重みを考慮し、線形補間を用いて数値データ系列の分位数を計算します。                                                                                                                                         |
+| [quantiles 系関数](/sql-reference/aggregate-functions/reference/quantiles)                                                     | quantiles, quantilesExactExclusive, quantilesExactInclusive, quantilesGK                                                                                                      |
+| [quantileTDigest](/sql-reference/aggregate-functions/reference/quantiletdigest)                                             | `t-digest` アルゴリズムを使用して、数値データ系列の近似的な分位点を計算します。                                                                                                                                 |
+| [quantileTDigestWeighted](/sql-reference/aggregate-functions/reference/quantiletdigestweighted)                             | `t-digest` アルゴリズムを使用して、数値データ系列の近似分位数を計算します。                                                                                                                                   |
+| [quantileTiming](/sql-reference/aggregate-functions/reference/quantiletiming)                                               | 指定された精度で数値データシーケンスの分位数を計算します。                                                                                                                                                 |
+| [quantileTimingWeighted](/sql-reference/aggregate-functions/reference/quantiletimingweighted)                               | 指定された精度で、各要素の重みに基づいて数値データ系列の分位数を計算します。                                                                                                                                        |
+| [rankCorr](/sql-reference/aggregate-functions/reference/rankCorr)                                                           | 順位相関係数を計算します。                                                                                                                                                                 |
+| [simpleLinearRegression](/sql-reference/aggregate-functions/reference/simplelinearregression)                               | 1次元の線形回帰（単回帰）を実行します。                                                                                                                                                          |
+| [singleValueOrNull](/sql-reference/aggregate-functions/reference/singlevalueornull)                                         | 集約関数 `singleValueOrNull` は、`x = ALL (SELECT ...)` のようなサブクエリ演算子を実装するために使用されます。データ内に NULL ではない一意の値がただ 1 つだけ存在するかどうかを確認します。                                                      |
+| [skewPop](/sql-reference/aggregate-functions/reference/skewpop)                                                             | 列の歪度を計算します。                                                                                                                                                                   |
+| [skewSamp](/sql-reference/aggregate-functions/reference/skewsamp)                                                           | シーケンスの標本歪度を計算します。                                                                                                                                                             |
+| [sparkbar](/sql-reference/aggregate-functions/reference/sparkbar)                                                           | この関数は、区間 `[min_x, max_x]` における値 `x` と、その値の反復頻度 `y` に対する度数ヒストグラムをプロットします。                                                                                                      |
+| [stddevPop](/sql-reference/aggregate-functions/reference/stddevpop)                                                         | 結果は varPop の平方根に等しくなります。                                                                                                                                                      |
+| [stddevPopStable](/sql-reference/aggregate-functions/reference/stddevpopstable)                                             | 結果は varPop の平方根と等しくなります。stddevPop と異なり、この関数は数値的に安定なアルゴリズムを使用します。                                                                                                              |
+| [stddevSamp](/sql-reference/aggregate-functions/reference/stddevsamp)                                                       | 結果は varSamp の平方根です                                                                                                                                                            |
+| [stddevSampStable](/sql-reference/aggregate-functions/reference/stddevsampstable)                                           | 結果は varSamp の平方根と等しくなります。この関数は varSamp とは異なり、数値的に安定なアルゴリズムを使用します。                                                                                                             |
+| [stochasticLinearRegression](/sql-reference/aggregate-functions/reference/stochasticlinearregression)                       | この関数は確率的線形回帰を実装します。学習率、L2 正則化係数、ミニバッチサイズを任意に指定でき、重み更新のためのいくつかの手法（Adam、単純な SGD、Momentum、Nesterov）をサポートします。                                                                     |
+| [stochasticLogisticRegression](/sql-reference/aggregate-functions/reference/stochasticlogisticregression)                   | この関数は確率的ロジスティック回帰を実装します。二値分類問題に使用でき、stochasticLinearRegression と同じカスタムパラメータをサポートし、動作も同様です。                                                                                    |
+| [studentTTest](/sql-reference/aggregate-functions/reference/studentttest)                                                   | 2つの母集団からの標本にスチューデントの t 検定を適用します。                                                                                                                                              |
+| [studentTTestOneSample](/sql-reference/aggregate-functions/reference/studentttestonesample)                                 | 既知の母平均が与えられた標本に 1 標本 Student の t 検定を適用します。                                                                                                                                    |
+| [sum](/sql-reference/aggregate-functions/reference/sum)                                                                     | 合計を計算します。数値に対してのみ使用できます。                                                                                                                                                      |
+| [sumCount](/sql-reference/aggregate-functions/reference/sumcount)                                                           | 数値の合計を計算すると同時に、行数もカウントします。この関数は ClickHouse のクエリオプティマイザーで使用されます。クエリ内に複数の `sum`、`count`、`avg` 関数がある場合、それらを 1 つの `sumCount` 関数に置き換えることで、計算結果を再利用できます。この関数を明示的に呼び出す必要があるケースはまれです。 |
+| [sumKahan](/sql-reference/aggregate-functions/reference/sumkahan)                                                           | Kahan 補償和アルゴリズムを用いて数値の総和を計算します                                                                                                                                                |
+| [sumMap](/sql-reference/aggregate-functions/reference/summap)                                                               | `key` 配列で指定されたキーに従って、1 つ以上の `value` 配列を合計します。ソートされたキー配列と、それぞれのキーに対応する値をオーバーフローなしで合計した配列から成るタプルを返します。                                                                          |
+| [sumMapWithOverflow](/sql-reference/aggregate-functions/reference/summapwithoverflow)                                       | `key` 配列で指定されたキーに従って、`value` 配列を集計します。ソート済みのキーの配列と、それぞれのキーに対応して合計された値の配列という、2 つの配列からなるタプルを返します。オーバーフローありで加算を行う点で、sumMap 関数と異なります。                                             |
+| [sumWithOverflow](/sql-reference/aggregate-functions/reference/sumwithoverflow)                                             | 数値の合計を計算し、結果のデータ型は入力パラメータと同じになります。合計がこのデータ型の最大値を超えた場合、オーバーフローした結果として計算されます。                                                                                                   |
+| [theilsU](/sql-reference/aggregate-functions/reference/theilsu)                                                             | `theilsU` 関数は、テーブル内の 2 つのカラム間の関連性を測る指標である Theils&#39; U 不確実性係数を計算します。                                                                                                         |
+| [topK](/sql-reference/aggregate-functions/reference/topk)                                                                   | 指定したカラム内で、おおよそ頻度が高い値の配列を返します。返される配列は、値そのものではなく、値のおおよその出現頻度が高い順（降順）にソートされます。                                                                                                   |
+| [topKWeighted](/sql-reference/aggregate-functions/reference/topkweighted)                                                   | 指定されたカラム内で、頻出すると推定される値の配列を返します。返される配列は、値そのものではなく、値の推定出現頻度に基づいて降順にソートされます。また、値の重みも考慮されます。                                                                                      |
+| [uniq](/sql-reference/aggregate-functions/reference/uniq)                                                                   | 引数の異なる値の概算個数を計算します。                                                                                                                                                           |
+| [uniqCombined](/sql-reference/aggregate-functions/reference/uniqcombined)                                                   | 引数の異なる値の概数を計算します。                                                                                                                                                             |
+| [uniqCombined64](/sql-reference/aggregate-functions/reference/uniqcombined64)                                               | 異なる引数の値のおおよその数を計算します。`uniqCombined` と同じですが、String データ型だけでなく、すべてのデータ型に対して 64ビットハッシュを使用します。                                                                                     |
+| [uniqExact](/sql-reference/aggregate-functions/reference/uniqexact)                                                         | 引数の異なる値の正確な個数を計算します。                                                                                                                                                          |
+| [uniqHLL12](/sql-reference/aggregate-functions/reference/uniqhll12)                                                         | HyperLogLog アルゴリズムを使用して、引数として与えられた異なる値のおおよその数を計算します。                                                                                                                          |
+| [uniqTheta](/sql-reference/aggregate-functions/reference/uniqthetasketch)                                                   | Theta Sketch Framework を使用して、引数の異なる値のおおよその個数を計算します。                                                                                                                           |
+| [varPop](/sql-reference/aggregate-functions/reference/varPop)                                                               | 母分散を計算します。                                                                                                                                                                    |
+| [varPopStable](/sql-reference/aggregate-functions/reference/varpopstable)                                                   | 母分散を返します。varPop とは異なり、この関数は数値的に安定なアルゴリズムを使用します。処理は遅くなりますが、計算誤差は小さくなります。                                                                                                       |
+| [varSamp](/sql-reference/aggregate-functions/reference/varSamp)                                                             | データセットの標本分散を計算します。                                                                                                                                                            |
+| [varSampStable](/sql-reference/aggregate-functions/reference/varsampstable)                                                 | データセットの標本分散を計算します。`varSamp` とは異なり、この関数は数値的に安定したアルゴリズムを使用します。処理は遅くなりますが、計算誤差をより小さく抑えられます。                                                                                      |
+| [welchTTest](/sql-reference/aggregate-functions/reference/welchttest)                                                       | 2つの母集団からの標本に Welch の t 検定を行います。                                                                                                                                               |
+| [distinctDynamicTypes](/sql-reference/aggregate-functions/reference/distinctdynamictypes)                                   | Dynamic カラムに保存されている重複のないデータ型の一覧を返します。                                                                                                                                         |
+| [distinctJSONPaths](/sql-reference/aggregate-functions/reference/distinctjsonpaths)                                         | JSON カラムに格納されたパスの一意な一覧を算出します。                                                                                                                                                 |
+| [timeSeriesDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDeltaToGrid)                                 | 指定されたグリッド上の時系列データに対して、PromQL 風の delta を計算する集約関数。                                                                                                                              |
+| [timeSeriesInstantDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantDeltaToGrid)                   | 指定されたグリッドに従って時系列データに対し、PromQL 風の idelta を計算する集約関数。                                                                                                                            |
+| [timeSeriesInstantRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantRateToGrid)                     | 指定されたグリッドに従い、時系列データに対して PromQL ライクな irate を計算する集約関数。                                                                                                                          |
+| [timeSeriesLastTwoSamples](/sql-reference/aggregate-functions/reference/timeSeriesLastTwoSamples)                           | PromQL ライクな irate および idelta 計算向けに時系列データを再サンプリングするための集約関数                                                                                                                     |
+| [timeSeriesRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesRateToGrid)                                   | 指定されたグリッド上の時系列データに対して PromQL 風の rate を計算する集約関数。                                                                                                                               |
+| [timeSeriesResampleToGridWithStaleness](/sql-reference/aggregate-functions/reference/timeSeriesResampleToGridWithStaleness) | 指定したグリッドに従ってタイムシリーズデータを再サンプリングする集約関数。                                                                                                                                         |
+| [timeSeriesDerivToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDerivToGrid)                                 | 指定されたグリッドに沿って、時系列データに対し PromQL 風の微分を計算する集約関数。                                                                                                                                 |
+| [timeSeriesPredictLinearToGrid](/sql-reference/aggregate-functions/reference/timeSeriesPredictLinearToGrid)                 | 指定されたグリッド上の時系列データに対して、PromQL 風の線形予測を行う集約関数。                                                                                                                                   |
+| [timeSeriesChangesToGrid](/sql-reference/aggregate-functions/reference/timeSeriesChangesToGrid)                             | 指定したグリッド上の時系列データに対して、PromQL と同様の変化量を計算する集約関数です。                                                                                                                               |
+| [timeSeriesResetsToGrid](/sql-reference/aggregate-functions/reference/timeSeriesResetsToGrid)                               | 指定されたグリッド上の時系列データに対して、PromQL 風のリセットを計算する集約関数。                                                                                                                                 |
+| [groupConcat](/sql-reference/aggregate-functions/reference/groupconcat)                                                     | 文字列のグループから、必要に応じて区切り文字で区切りながら連結した文字列を生成し、さらに必要に応じて要素数の最大数で制限できます。                                                                                                             |
+| [quantilePrometheusHistogram](/sql-reference/aggregate-functions/reference/quantilePrometheusHistogram)                     | ヒストグラムの分位点を線形補間で計算します。                                                                                                                                                        |
+
+{/*AUTOGENERATED_END*/ }
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/functions/ext-dict-functions.md b/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/functions/ext-dict-functions.md
new file mode 100644
index 00000000000..e989acfe601
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/functions/ext-dict-functions.md
@@ -0,0 +1,2214 @@
+---
+description: '辞書操作用の関数に関するドキュメント'
+sidebar_label: '辞書'
+slug: /sql-reference/functions/ext-dict-functions
+title: '辞書操作用の関数'
+doc_type: 'reference'
+---
+
+# 辞書を扱う関数 {#functions-for-working-with-dictionaries}
+
+:::note
+[DDL クエリ](../../sql-reference/statements/create/dictionary.md)で作成された辞書の場合、`dict_name` パラメーターは `<database>.<dict_name>` のように完全修飾名で指定する必要があります。省略した場合は、現在のデータベースが使用されます。
+:::
+
+辞書の接続と設定の方法については、[辞書](../../sql-reference/dictionaries/index.md)を参照してください。
+
+## 例となる辞書 {#example-dictionary}
+
+このセクションの例では、次の辞書を使用します。以下で説明する関数の例を実行するには、これらを ClickHouse で作成してください。
+
+<details>
+<summary>dictGet&lt;T&gt; および dictGet&lt;T&gt;OrDefault 関数用の例となる辞書</summary>
+
+```sql
+-- 必要なすべてのデータ型を含むテーブルを作成
+CREATE TABLE all_types_test (
+    `id` UInt32,
+    
+    -- String 型
+    `String_value` String,
+    
+    -- 符号なし整数型
+    `UInt8_value` UInt8,
+    `UInt16_value` UInt16,
+    `UInt32_value` UInt32,
+    `UInt64_value` UInt64,
+    
+    -- 符号付き整数型
+    `Int8_value` Int8,
+    `Int16_value` Int16,
+    `Int32_value` Int32,
+    `Int64_value` Int64,
+    
+    -- 浮動小数点型
+    `Float32_value` Float32,
+    `Float64_value` Float64,
+    
+    -- 日付/時刻型
+    `Date_value` Date,
+    `DateTime_value` DateTime,
+    
+    -- ネットワーク型
+    `IPv4_value` IPv4,
+    `IPv6_value` IPv6,
+    
+    -- UUID 型
+    `UUID_value` UUID
+) ENGINE = MergeTree() 
+ORDER BY id;
+```
+```sql
+-- テストデータを挿入
+INSERT INTO all_types_test VALUES
+(
+    1,                              -- id
+    'ClickHouse',                   -- String
+    100,                            -- UInt8
+    5000,                           -- UInt16
+    1000000,                        -- UInt32
+    9223372036854775807,            -- UInt64
+    -100,                           -- Int8
+    -5000,                          -- Int16
+    -1000000,                       -- Int32
+    -9223372036854775808,           -- Int64
+    123.45,                         -- Float32
+    987654.123456,                  -- Float64
+    '2024-01-15',                   -- Date
+    '2024-01-15 10:30:00',          -- DateTime
+    '192.168.1.1',                  -- IPv4
+    '2001:db8::1',                  -- IPv6
+    '550e8400-e29b-41d4-a716-446655440000' -- UUID
+)
+```
+
+```sql
+-- 辞書を作成
+CREATE DICTIONARY all_types_dict
+(
+    id UInt32,
+    String_value String,
+    UInt8_value UInt8,
+    UInt16_value UInt16,
+    UInt32_value UInt32,
+    UInt64_value UInt64,
+    Int8_value Int8,
+    Int16_value Int16,
+    Int32_value Int32,
+    Int64_value Int64,
+    Float32_value Float32,
+    Float64_value Float64,
+    Date_value Date,
+    DateTime_value DateTime,
+    IPv4_value IPv4,
+    IPv6_value IPv6,
+    UUID_value UUID
+)
+PRIMARY KEY id
+SOURCE(CLICKHOUSE(HOST 'localhost' PORT 9000 USER 'default' TABLE 'all_types_test' DB 'default'))
+LAYOUT(HASHED())
+LIFETIME(MIN 300 MAX 600);
+```
+</details>
+
+<details>
+<summary>dictGetAll 用の例となる辞書</summary>
+
+regexp ツリー辞書用のデータを保存するテーブルを作成します：
+
+```sql
+CREATE TABLE regexp_os(
+    id UInt64,
+    parent_id UInt64,
+    regexp String,
+    keys Array(String),
+    values Array(String)
+)
+ENGINE = Memory;
+```
+
+テーブルにデータを挿入します：
+
+```sql
+INSERT INTO regexp_os 
+SELECT *
+FROM s3(
+    'https://datasets-documentation.s3.eu-west-3.amazonaws.com/' ||
+    'user_agent_regex/regexp_os.csv'
+);
+```
+
+regexp ツリー辞書を作成します：
+
+```sql
+CREATE DICTIONARY regexp_tree
+(
+    regexp String,
+    os_replacement String DEFAULT 'Other',
+    os_v1_replacement String DEFAULT '0',
+    os_v2_replacement String DEFAULT '0',
+    os_v3_replacement String DEFAULT '0',
+    os_v4_replacement String DEFAULT '0'
+)
+PRIMARY KEY regexp
+SOURCE(CLICKHOUSE(TABLE 'regexp_os'))
+LIFETIME(MIN 0 MAX 0)
+LAYOUT(REGEXP_TREE);
+```
+</details>
+
+<details>
+  <summary>範囲キー Dictionary の例</summary>
+
+  入力テーブルを作成します：
+
+  ```sql
+  CREATE TABLE range_key_dictionary_source_table
+  (
+      key UInt64,
+      start_date Date,
+      end_date Date,
+      value String,
+      value_nullable Nullable(String)
+  )
+  ENGINE = TinyLog();
+  ```
+
+  データを入力テーブルに挿入します：
+
+  ```sql
+  INSERT INTO range_key_dictionary_source_table VALUES(1, toDate('2019-05-20'), toDate('2019-05-20'), 'First', 'First');
+  INSERT INTO range_key_dictionary_source_table VALUES(2, toDate('2019-05-20'), toDate('2019-05-20'), 'Second', NULL);
+  INSERT INTO range_key_dictionary_source_table VALUES(3, toDate('2019-05-20'), toDate('2019-05-20'), 'Third', 'Third');
+  ```
+
+  Dictionary を作成します：
+
+  ```sql
+  CREATE DICTIONARY range_key_dictionary
+  (
+      key UInt64,
+      start_date Date,
+      end_date Date,
+      value String,
+      value_nullable Nullable(String)
+  )
+  PRIMARY KEY key
+  SOURCE(CLICKHOUSE(HOST 'localhost' PORT tcpPort() TABLE 'range_key_dictionary_source_table'))
+  LIFETIME(MIN 1 MAX 1000)
+  LAYOUT(RANGE_HASHED())
+  RANGE(MIN start_date MAX end_date);
+  ```
+</details>
+
+<details>
+  <summary>複合キー Dictionary の例</summary>
+
+  ソーステーブルを作成します：
+
+  ```sql
+  CREATE TABLE dict_mult_source
+  (
+  id UInt32,
+  c1 UInt32,
+  c2 String
+  ) ENGINE = Memory;
+  ```
+
+  データをソーステーブルに挿入します：
+
+  ```sql
+  INSERT INTO dict_mult_source VALUES
+  (1, 1, '1'),
+  (2, 2, '2'),
+  (3, 3, '3');
+  ```
+
+  Dictionary を作成します：
+
+  ```sql
+  CREATE DICTIONARY ext_dict_mult
+  (
+      id UInt32,
+      c1 UInt32,
+      c2 String
+  )
+  PRIMARY KEY id
+  SOURCE(CLICKHOUSE(HOST 'localhost' PORT 9000 USER 'default' TABLE 'dict_mult_source' DB 'default'))
+  LAYOUT(FLAT())
+  LIFETIME(MIN 0 MAX 0);
+  ```
+</details>
+
+<details>
+  <summary>階層型 Dictionary の例</summary>
+
+  ソーステーブルを作成します：
+
+  ```sql
+  CREATE TABLE hierarchy_source
+  (
+    id UInt64,
+    parent_id UInt64,
+    name String
+  ) ENGINE = Memory;
+  ```
+
+  データをソーステーブルに挿入します：
+
+  ```sql
+  INSERT INTO hierarchy_source VALUES
+  (0, 0, 'Root'),
+  (1, 0, 'Level 1 - Node 1'),
+  (2, 1, 'Level 2 - Node 2'),
+  (3, 1, 'Level 2 - Node 3'),
+  (4, 2, 'Level 3 - Node 4'),
+  (5, 2, 'Level 3 - Node 5'),
+  (6, 3, 'Level 3 - Node 6');
+
+  -- 0 (Root)
+  -- └── 1 (レベル 1 - ノード 1)
+  --     ├── 2 (レベル 2 - ノード 2)
+  --     │   ├── 4 (レベル 3 - ノード 4)
+  --     │   └── 5 (レベル 3 - ノード 5)
+  --     └── 3 (レベル 2 - ノード 3)
+  --         └── 6 (レベル 3 - ノード 6)
+  ```
+
+  Dictionary を作成します：
+
+  ```sql
+  CREATE DICTIONARY hierarchical_dictionary
+  (
+      id UInt64,
+      parent_id UInt64 HIERARCHICAL,
+      name String
+  )
+  PRIMARY KEY id
+  SOURCE(CLICKHOUSE(HOST 'localhost' PORT 9000 USER 'default' TABLE 'hierarchy_source' DB 'default'))
+  LAYOUT(HASHED())
+  LIFETIME(MIN 300 MAX 600);
+  ```
+</details>
+
+{/* 
+  以下のタグ内の内容は、ドキュメントフレームワークのビルド時に
+  system.functions から生成されたドキュメントで置き換えられます。タグを変更したり削除したりしないでください。
+  詳細は次を参照してください: https://github.com/ClickHouse/clickhouse-docs/blob/main/contribute/autogenerated-documentation-from-source.md
+  */ }
+
+{/*AUTOGENERATED_START*/ }
+
+
+## dictGet {#dictGet}
+
+導入バージョン: v18.16
+
+Dictionary から値を取得します。
+
+**構文**
+
+```sql
+dictGet('dict_name', attr_names, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_names` — Dictionary のカラム名、またはカラム名のタプル。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。`UInt64` または `Tuple(T)` を返す式。[`UInt64`](/sql-reference/data-types/int-uint) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+キーが見つかった場合、`id_expr` に対応する Dictionary の属性値を返します。
+キーが見つからない場合、その属性に対して Dictionary の設定で指定された `<null_value>` 要素の内容を返します。
+
+**例**
+
+**単一の属性を取得する**
+
+```sql title=Query
+SELECT dictGet('ext_dict_test', 'c1', toUInt64(1)) AS val
+```
+
+```response title=Response
+1
+```
+
+**複数の属性**
+
+```sql title=Query
+SELECT
+    dictGet('ext_dict_mult', ('c1','c2'), number + 1) AS val,
+    toTypeName(val) AS type
+FROM system.numbers
+LIMIT 3;
+```
+
+```response title=Response
+┌─val─────┬─type───────────┐
+│ (1,'1') │ Tuple(        ↴│
+│         │↳    c1 UInt32,↴│
+│         │↳    c2 String) │
+│ (2,'2') │ Tuple(        ↴│
+│         │↳    c1 UInt32,↴│
+│         │↳    c2 String) │
+│ (3,'3') │ Tuple(        ↴│
+│         │↳    c1 UInt32,↴│
+│         │↳    c2 String) │
+└─────────┴────────────────┘
+```
+
+
+## dictGetAll {#dictGetAll}
+
+導入バージョン: v23.5
+
+Dictionary の設定に関わらず、属性値を `All` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetAll(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応するものが存在しない場合は、Dictionary 設定でその属性に対して指定されている `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT
+    'Mozilla/5.0 (Linux; Android 12; SM-G998B) Mobile Safari/537.36' AS user_agent,
+
+    -- 該当するすべてのパターンにマッチします
+    dictGetAll('regexp_tree', 'os_replacement', 'Mozilla/5.0 (Linux; Android 12; SM-G998B) Mobile Safari/537.36') AS all_matches,
+
+    -- 最初にマッチしたもののみを返します
+    dictGet('regexp_tree', 'os_replacement', 'Mozilla/5.0 (Linux; Android 12; SM-G998B) Mobile Safari/537.36') AS first_match;
+```
+
+```response title=Response
+┌─user_agent─────────────────────────────────────────────────────┬─all_matches─────────────────────────────┬─first_match─┐
+│ Mozilla/5.0 (Linux; Android 12; SM-G998B) Mobile Safari/537.36 │ ['Android','Android','Android','Linux'] │ Android     │
+└────────────────────────────────────────────────────────────────┴─────────────────────────────────────────┴─────────────┘
+```
+
+
+## dictGetChildren {#dictGetChildren}
+
+導入バージョン: v21.4
+
+第1レベルの子要素をインデックスの配列として返します。これは [dictGetHierarchy](#dictGetHierarchy) に対する逆変換です。
+
+**構文**
+
+```sql
+dictGetChildren(dict_name, key)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `key` — チェック対象のキー。[`const String`](/sql-reference/data-types/string)
+
+**戻り値**
+
+指定したキーの第一階層の子要素（直下の子要素）を返します。[`Array(UInt64)`](/sql-reference/data-types/array)
+
+**例**
+
+**Dictionary の第一階層の子要素を取得する**
+
+```sql title=Query
+SELECT dictGetChildren('hierarchical_dictionary', 2);
+```
+
+```response title=Response
+┌─dictGetChild⋯ionary', 2)─┐
+│ [4,5]                    │
+└──────────────────────────┘
+```
+
+
+## dictGetDate {#dictGetDate}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `Date` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetDate(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合は、その属性について Dictionary 設定で指定された `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetDate('all_types_dict', 'Date_value', 1)
+```
+
+```response title=Response
+┌─dictGetDate(⋯_value', 1)─┐
+│               2020-01-01 │
+└──────────────────────────┘
+```
+
+
+## dictGetDateOrDefault {#dictGetDateOrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の設定に関係なく、属性値を `Date` データ型に変換するか、キーが見つからない場合は指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetDateOrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary の属性（カラム）の名前。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存します）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーの行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+存在しない場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+ClickHouse は、属性の値をパースできない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetDate('all_types_dict', 'Date_value', 1);
+
+-- 存在しないキーの場合、指定されたデフォルト値を返す
+SELECT dictGetDateOrDefault('all_types_dict', 'Date_value', 999, toDate('1970-01-01'));
+```
+
+```response title=Response
+┌─dictGetDate(⋯_value', 1)─┐
+│               2024-01-15 │
+└──────────────────────────┘
+┌─dictGetDateO⋯70-01-01'))─┐
+│               1970-01-01 │
+└──────────────────────────┘
+```
+
+
+## dictGetDateTime {#dictGetDateTime}
+
+導入バージョン: v1.1
+
+Dictionary の設定に依存せず、Dictionary 属性の値を `DateTime` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetDateTime(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の構成に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+それ以外の場合は、Dictionary の構成でその属性に対して指定されている `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外を送出します。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetDateTime('all_types_dict', 'DateTime_value', 1)
+```
+
+```response title=Response
+┌─dictGetDateT⋯_value', 1)─┐
+│      2024-01-15 10:30:00 │
+└──────────────────────────┘
+```
+
+
+## dictGetDateTimeOrDefault {#dictGetDateTimeOrDefault}
+
+導入: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `DateTime` データ型に変換します。キーが見つからない場合は、指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetDateTimeOrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存します）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーの行が存在しない場合に返される値（複数可）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+存在しない場合は `default_value_expr` パラメータとして渡された値を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外を送出します。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetDateTime('all_types_dict', 'DateTime_value', 1);
+
+-- 存在しないキーの場合、指定されたデフォルト値を返す
+SELECT dictGetDateTimeOrDefault('all_types_dict', 'DateTime_value', 999, toDateTime('1970-01-01 00:00:00'));
+```
+
+```response title=Response
+┌─dictGetDateT⋯_value', 1)─┐
+│      2024-01-15 10:30:00 │
+└──────────────────────────┘
+┌─dictGetDateT⋯0:00:00'))──┐
+│      1970-01-01 00:00:00 │
+└──────────────────────────┘
+```
+
+
+## dictGetDescendants {#dictGetDescendants}
+
+導入バージョン: v21.4
+
+[`dictGetChildren`](#dictGetChildren) 関数を `level` 回再帰的に適用した場合と同様に、すべての子孫を返します。
+
+**構文**
+
+```sql
+dictGetDescendants(dict_name, key, level)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `key` — チェック対象のキー。[`const String`](/sql-reference/data-types/string)
+* `level` — 階層レベル。`level = 0` の場合、末端までのすべての子孫を返します。[`UInt8`](/sql-reference/data-types/int-uint)
+
+**返り値**
+
+指定されたキーに対する子孫を返します。[`Array(UInt64)`](/sql-reference/data-types/array)
+
+**例**
+
+**Dictionary の第 1 階層の子要素を取得する**
+
+```sql title=Query
+-- 以下の階層型Dictionaryを考えます:
+-- 0 (ルート)
+-- └── 1 (レベル1 - ノード1)
+--     ├── 2 (レベル2 - ノード2)
+--     │   ├── 4 (レベル3 - ノード4)
+--     │   └── 5 (レベル3 - ノード5)
+--     └── 3 (レベル2 - ノード3)
+--         └── 6 (レベル3 - ノード6)
+
+SELECT dictGetDescendants('hierarchical_dictionary', 0, 2)
+```
+
+```response title=Response
+┌─dictGetDesce⋯ary', 0, 2)─┐
+│ [3,2]                    │
+└──────────────────────────┘
+```
+
+
+## dictGetFloat32 {#dictGetFloat32}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary 設定に関係なく `Float32` 型に変換します。
+
+**構文**
+
+```sql
+dictGetFloat32(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary の設定に応じて、Dictionary のキー型の値またはタプル値を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary 設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetFloat32('all_types_dict', 'Float32_value', 1)
+```
+
+```response title=Response
+┌─dictGetFloat⋯_value', 1)─┐
+│               -123.123   │
+└──────────────────────────┘
+```
+
+
+## dictGetFloat32OrDefault {#dictGetFloat32OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `Float32` データ型に変換するか、キーが見つからない場合は指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetFloat32OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary で定義されたキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーの行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+存在しない場合は、`default_value_expr` パラメータで渡された値を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetFloat32('all_types_dict', 'Float32_value', 1);
+
+-- 存在しないキーの場合、指定されたデフォルト値（-1.0）を返す
+SELECT dictGetFloat32OrDefault('all_types_dict', 'Float32_value', 999, -1.0);
+```
+
+```response title=Response
+┌─dictGetFloat⋯_value', 1)─┐
+│                   123.45 │
+└──────────────────────────┘
+┌─dictGetFloat⋯e', 999, -1)─┐
+│                       -1  │
+└───────────────────────────┘
+```
+
+
+## dictGetFloat64 {#dictGetFloat64}
+
+導入されたバージョン: v1.1
+
+Dictionary の設定に関係なく、Dictionary の属性値を `Float64` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetFloat64(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**返り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合は、Dictionary 設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetFloat64('all_types_dict', 'Float64_value', 1)
+```
+
+```response title=Response
+┌─dictGetFloat⋯_value', 1)─┐
+│                 -123.123 │
+└──────────────────────────┘
+```
+
+
+## dictGetFloat64OrDefault {#dictGetFloat64OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `Float64` データ型に変換します。キーが見つからない場合は、指定したデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetFloat64OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値（または複数の値）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+存在しない場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+ClickHouse は、属性の値をパースできない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetFloat64('all_types_dict', 'Float64_value', 1);
+
+-- キーが存在しない場合、指定されたデフォルト値（nan）を返す
+SELECT dictGetFloat64OrDefault('all_types_dict', 'Float64_value', 999, nan);
+```
+
+```response title=Response
+┌─dictGetFloat⋯_value', 1)─┐
+│            987654.123456 │
+└──────────────────────────┘
+┌─dictGetFloat⋯, 999, nan)─┐
+│                      nan │
+└──────────────────────────┘
+```
+
+
+## dictGetHierarchy {#dictGetHierarchy}
+
+導入されたバージョン: v1.1
+
+[階層型 Dictionary](../../sql-reference/dictionaries/index.md#hierarchical-dictionaries) 内のキーについて、そのすべての親を含む配列を生成します。
+
+**構文**
+
+```sql
+dictGetHierarchy(dict_name, key)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `key` — キー値。[`const String`](/sql-reference/data-types/string)
+
+**戻り値**
+
+指定したキーに対応する親を返します。[`Array(UInt64)`](/sql-reference/data-types/array)
+
+**例**
+
+**キーに対する階層を取得する**
+
+```sql title=Query
+SELECT dictGetHierarchy('hierarchical_dictionary', 5)
+```
+
+```response title=Response
+┌─dictGetHiera⋯ionary', 5)─┐
+│ [5,2,1]                  │
+└──────────────────────────┘
+```
+
+
+## dictGetIPv4 {#dictGetIPv4}
+
+導入バージョン: v1.1
+
+Dictionary の設定に関係なく、その属性値を `IPv4` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetIPv4(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値がない場合は、Dictionary の設定でその属性に指定された `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetIPv4('all_types_dict', 'IPv4_value', 1)
+```
+
+```response title=Response
+┌─dictGetIPv4('all_⋯ 'IPv4_value', 1)─┐
+│ 192.168.0.1                         │
+└─────────────────────────────────────┘
+```
+
+
+## dictGetIPv4OrDefault {#dictGetIPv4OrDefault}
+
+導入バージョン: v23.1
+
+Dictionary の設定に関係なく、Dictionary の属性の値を `IPv4` データ型に変換し、キーが見つからない場合は指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetIPv4OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値（複数可）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+存在しない場合は `default_value_expr` パラメータとして渡された値を返します。
+
+:::note
+属性の値をパースできない場合、またはその値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetIPv4('all_types_dict', 'IPv4_value', 1);
+
+-- 存在しないキーの場合、指定されたデフォルト値を返す
+SELECT dictGetIPv4OrDefault('all_types_dict', 'IPv4_value', 999, toIPv4('0.0.0.0'));
+```
+
+```response title=Response
+┌─dictGetIPv4('all_⋯ 'IPv4_value', 1)─┐
+│ 192.168.0.1                         │
+└─────────────────────────────────────┘
+┌─dictGetIPv4OrDefa⋯0.0.0.0'))─┐
+│ 0.0.0.0                      │
+└──────────────────────────────┘
+```
+
+
+## dictGetIPv6 {#dictGetIPv6}
+
+導入: v23.1
+
+Dictionary の設定にかかわらず、属性値を `IPv6` データ型として取得します。
+
+**構文**
+
+```sql
+dictGetIPv6(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary の属性値を返します。
+対応する値がない場合は、Dictionary 設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetIPv6('all_types_dict', 'IPv6_value', 1)
+```
+
+```response title=Response
+┌─dictGetIPv6('all_⋯ 'IPv6_value', 1)─┐
+│ 2001:db8:85a3::8a2e:370:7334        │
+└─────────────────────────────────────┘
+```
+
+
+## dictGetIPv6OrDefault {#dictGetIPv6OrDefault}
+
+導入バージョン: v23.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `IPv6` データ型に変換するか、キーが見つからない場合には指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetIPv6OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の構成に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値（複数可）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合は `default_value_expr` パラメータとして渡された値を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetIPv6('all_types_dict', 'IPv6_value', 1);
+
+-- 存在しないキーの場合、指定されたデフォルト値を返す
+SELECT dictGetIPv6OrDefault('all_types_dict', 'IPv6_value', 999, '::1'::IPv6);
+```
+
+```response title=Response
+┌─dictGetIPv6('all_⋯ 'IPv6_value', 1)─┐
+│ 2001:db8:85a3::8a2e:370:7334        │
+└─────────────────────────────────────┘
+┌─dictGetIPv6OrDefa⋯:1'::IPv6)─┐
+│ ::1                          │
+└──────────────────────────────┘
+```
+
+
+## dictGetInt16 {#dictGetInt16}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `Int16` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetInt16(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値（Dictionary の設定内容に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+それ以外の場合は、Dictionary の設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外を発生させます。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetInt16('all_types_dict', 'Int16_value', 1)
+```
+
+```response title=Response
+┌─dictGetInt16⋯_value', 1)─┐
+│                    -5000 │
+└──────────────────────────┘
+```
+
+
+## dictGetInt16OrDefault {#dictGetInt16OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の設定にかかわらず属性値を `Int16` 型として取得し、キーが見つからない場合は指定したデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetInt16OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary で定義されたキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値（複数の場合あり）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary の属性値を返し、
+存在しない場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+ClickHouse は、属性値を解析できない場合、またはその値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetInt16('all_types_dict', 'Int16_value', 1);
+
+-- キーが存在しない場合、指定したデフォルト値（-1）を返す
+SELECT dictGetInt16OrDefault('all_types_dict', 'Int16_value', 999, -1);
+```
+
+```response title=Response
+┌─dictGetInt16⋯_value', 1)─┐
+│                    -5000 │
+└──────────────────────────┘
+┌─dictGetInt16⋯', 999, -1)─┐
+│                       -1 │
+└──────────────────────────┘
+```
+
+
+## dictGetInt32 {#dictGetInt32}
+
+導入バージョン：v1.1
+
+Dictionary の設定に関係なく、その属性値を `Int32` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetInt32(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**返り値**
+
+`id_expr` に対応する Dictionary の属性値を返します。
+対応する値がない場合は、その属性について Dictionary の設定で指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetInt32('all_types_dict', 'Int32_value', 1)
+```
+
+```response title=Response
+┌─dictGetInt32⋯_value', 1)─┐
+│                -1000000  │
+└──────────────────────────┘
+```
+
+
+## dictGetInt32OrDefault {#dictGetInt32OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `Int32` データ型に変換します。キーが見つからない場合は、指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetInt32OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が含まれていない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary の属性の値を返します。
+対応する値が存在しない場合は、`default_value_expr` パラメーターとして渡された値を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetInt32('all_types_dict', 'Int32_value', 1);
+
+-- キーが存在しない場合、指定したデフォルト値（-1）を返す
+SELECT dictGetInt32OrDefault('all_types_dict', 'Int32_value', 999, -1);
+```
+
+```response title=Response
+┌─dictGetInt32⋯_value', 1)─┐
+│                -1000000  │
+└──────────────────────────┘
+┌─dictGetInt32⋯', 999, -1)─┐
+│                       -1 │
+└──────────────────────────┘
+```
+
+
+## dictGetInt64 {#dictGetInt64}
+
+導入: v1.1
+
+Dictionary の設定に関係なく、Dictionary の属性の値を `Int64` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetInt64(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、または（Dictionary の設定に依存して）値のタプルを返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary 設定でその属性に指定された `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値を解釈できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetInt64('all_types_dict', 'Int64_value', 1)
+```
+
+```response title=Response
+┌─dictGetInt64⋯_value', 1)───┐
+│       -9223372036854775807 │
+└────────────────────────────┘
+```
+
+
+## dictGetInt64OrDefault {#dictGetInt64OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `Int64` データ型に変換するか、キーが見つからない場合は指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetInt64OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定による）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary の属性値を返し、
+該当しない場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+ClickHouse は、属性値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetInt64('all_types_dict', 'Int64_value', 1);
+
+-- キーが存在しない場合、指定したデフォルト値（-1）を返す
+SELECT dictGetInt64OrDefault('all_types_dict', 'Int64_value', 999, -1);
+```
+
+```response title=Response
+┌─dictGetInt64⋯_value', 1)─┐
+│     -9223372036854775808 │
+└──────────────────────────┘
+┌─dictGetInt64⋯', 999, -1)─┐
+│                       -1 │
+└──────────────────────────┘
+```
+
+
+## dictGetInt8 {#dictGetInt8}
+
+導入バージョン: v1.1
+
+Dictionary の設定に関係なく、Dictionary の属性値を `Int8` データ型に変換して返します。
+
+**構文**
+
+```sql
+dictGetInt8(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、または値のタプルを返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary の設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値をパースできない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetInt8('all_types_dict', 'Int8_value', 1)
+```
+
+```response title=Response
+┌─dictGetInt8(⋯_value', 1)─┐
+│                     -100 │
+└──────────────────────────┘
+```
+
+
+## dictGetInt8OrDefault {#dictGetInt8OrDefault}
+
+v1.1 で導入
+
+Dictionary の設定に関係なく、Dictionary の属性値を `Int8` データ型に変換し、キーが見つからない場合は指定したデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetInt8OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**返される値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合には `default_value_expr` パラメータとして渡された値を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetInt8('all_types_dict', 'Int8_value', 1);
+
+-- キーが存在しない場合、指定したデフォルト値（-1）を返す
+SELECT dictGetInt8OrDefault('all_types_dict', 'Int8_value', 999, -1);
+```
+
+```response title=Response
+┌─dictGetInt8(⋯_value', 1)─┐
+│                     -100 │
+└──────────────────────────┘
+┌─dictGetInt8O⋯', 999, -1)─┐
+│                       -1 │
+└──────────────────────────┘
+```
+
+
+## dictGetKeys {#dictGetKeys}
+
+導入バージョン: v25.12
+
+指定された値と等しい属性を持つ Dictionary のキーを返します。これは、単一の属性に対する `dictGet` 関数の逆の動作です。
+
+`dictGetKeys` が使用するクエリごとの逆引きキャッシュのサイズ上限を設定するには、`max_reverse_dictionary_lookup_cache_size_bytes` を使用します。
+このキャッシュは、同じクエリ内で Dictionary を再スキャンする必要がないように、各属性値に対応するシリアライズ済みのキーのタプルを保存します。
+このキャッシュはクエリ間で永続化されません。上限に達すると、LRU によってエントリが削除されます。
+入力のカーディナリティが低く、ワーキングセットがキャッシュに収まるような大きな Dictionary に対して最も効果的です。キャッシュを無効にするには `0` を設定します。
+
+**構文**
+
+```sql
+dictGetKeys('dict_name', 'attr_name', value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — 照合する属性名。[`String`](/sql-reference/data-types/string)
+* `value_expr` — 属性と照合する値。[`Expression`](/sql-reference/data-types/special-data-types/expression)
+
+**戻り値**
+
+単一キーの Dictionary の場合: 属性が `value_expr` と等しいキーの配列。複合キーの Dictionary の場合: 属性が `value_expr` と等しいキーのタプルの配列。Dictionary 内に `value_expr` に対応する属性が存在しない場合は、空の配列が返されます。属性の値を解析できない場合、または値を属性のデータ型に変換できない場合、ClickHouse は例外をスローします。
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetKeys('task_id_to_priority_dictionary', 'priority_level', 'high') AS ids;
+```
+
+```response title=Response
+┌─-ids──┐
+│ [4,2] │
+└───────┘
+```
+
+
+## dictGetOrDefault {#dictGetOrDefault}
+
+導入バージョン: v18.16
+
+Dictionary から値を取得し、キーが見つからない場合はデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetOrDefault('dict_name', attr_names, id_expr, default_value)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_names` — Dictionary のカラム名、またはカラム名のタプル。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。UInt64 または Tuple(T) を返す式です。[`UInt64`](/sql-reference/data-types/int-uint) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value` — キーが見つからない場合に返すデフォルト値。型は属性のデータ型と一致している必要があります。
+
+**戻り値**
+
+キーが見つかった場合、`id_expr` に対応する Dictionary 属性の値を返します。
+キーが見つからない場合は、指定された `default_value` を返します。
+
+**例**
+
+**デフォルト値付きで値を取得**
+
+```sql title=Query
+SELECT dictGetOrDefault('ext_dict_mult', 'c1', toUInt64(999), 0) AS val
+```
+
+```response title=Response
+0
+```
+
+
+## dictGetOrNull {#dictGetOrNull}
+
+導入バージョン: v21.4
+
+Dictionary から値を取得し、キーが見つからない場合は NULL を返します。
+
+**構文**
+
+```sql
+dictGetOrNull('dict_name', 'attr_name', id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。文字列リテラル。 - `attr_name` — 取得するカラム名。文字列リテラル。 - `id_expr` — キー値。Dictionary のキー型の値を返す式。
+
+**戻り値**
+
+キーが見つかった場合は、`id_expr` に対応する Dictionary 属性値を返します。
+キーが見つからない場合は、`NULL` を返します。
+
+**例**
+
+**レンジキーを使用する Dictionary の例**
+
+```sql title=Query
+SELECT
+    (number, toDate('2019-05-20')),
+    dictGetOrNull('range_key_dictionary', 'value', number, toDate('2019-05-20')),
+FROM system.numbers LIMIT 5 FORMAT TabSeparated;
+```
+
+```response title=Response
+(0,'2019-05-20')  \N
+(1,'2019-05-20')  最初
+(2,'2019-05-20')  2番目
+(3,'2019-05-20')  3番目
+(4,'2019-05-20')  \N
+```
+
+
+## dictGetString {#dictGetString}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定にかかわらず `String` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetString(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary の設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外を発生させます。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetString('all_types_dict', 'String_value', 1)
+```
+
+```response title=Response
+┌─dictGetString(⋯_value', 1)─┐
+│ test string                │
+└────────────────────────────┘
+```
+
+
+## dictGetStringOrDefault {#dictGetStringOrDefault}
+
+導入: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `String` 型に変換します。キーが見つからない場合は、指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetStringOrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合は `default_value_expr` パラメータとして渡された値を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetString('all_types_dict', 'String_value', 1);
+
+-- キーが存在しない場合、指定したデフォルト値を返す
+SELECT dictGetStringOrDefault('all_types_dict', 'String_value', 999, 'default');
+```
+
+```response title=Response
+┌─dictGetString(⋯_value', 1)─┐
+│ test string                │
+└────────────────────────────┘
+┌─dictGetStringO⋯ 999, 'default')─┐
+│ default                         │
+└─────────────────────────────────┘
+```
+
+
+## dictGetUInt16 {#dictGetUInt16}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定内容に関係なく `UInt16` 型に変換します。
+
+**構文**
+
+```sql
+dictGetUInt16(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary 設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetUInt16('all_types_dict', 'UInt16_value', 1)
+```
+
+```response title=Response
+┌─dictGetUInt1⋯_value', 1)─┐
+│                     5000 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt16OrDefault {#dictGetUInt16OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の設定に関係なく、Dictionary の属性値を `UInt16` データ型に変換し、キーが見つからない場合は指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetUInt16OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値（複数可）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+存在しない場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+属性の値を解析できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外を送出します。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetUInt16('all_types_dict', 'UInt16_value', 1);
+
+-- 存在しないキーの場合、指定したデフォルト値(0)を返す
+SELECT dictGetUInt16OrDefault('all_types_dict', 'UInt16_value', 999, 0);
+```
+
+```response title=Response
+┌─dictGetUInt1⋯_value', 1)─┐
+│                     5000 │
+└──────────────────────────┘
+┌─dictGetUInt1⋯e', 999, 0)─┐
+│                        0 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt32 {#dictGetUInt32}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `UInt32` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetUInt32(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合には、Dictionary の設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+属性の値をパースできない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外を送出します。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetUInt32('all_types_dict', 'UInt32_value', 1)
+```
+
+```response title=Response
+┌─dictGetUInt3⋯_value', 1)─┐
+│                  1000000 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt32OrDefault {#dictGetUInt32OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定内容に関係なく `UInt32` 型に変換し、キーが見つからない場合には指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetUInt32OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定による）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary の属性値を返し、
+存在しない場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+属性値を解釈できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetUInt32('all_types_dict', 'UInt32_value', 1);
+
+-- 存在しないキーの場合、指定したデフォルト値(0)を返す
+SELECT dictGetUInt32OrDefault('all_types_dict', 'UInt32_value', 999, 0);
+```
+
+```response title=Response
+┌─dictGetUInt3⋯_value', 1)─┐
+│                  1000000 │
+└──────────────────────────┘
+┌─dictGetUInt3⋯e', 999, 0)─┐
+│                        0 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt64 {#dictGetUInt64}
+
+導入: v1.1
+
+Dictionary の属性の値を、Dictionary の設定に関係なく `UInt64` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetUInt64(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値（Dictionary の構成に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary の構成でその属性に対して指定されている `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetUInt64('all_types_dict', 'UInt64_value', 1)
+```
+
+```response title=Response
+┌─dictGetUInt6⋯_value', 1)─┐
+│      9223372036854775807 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt64OrDefault {#dictGetUInt64OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の設定に関係なく Dictionary の属性値を `UInt64` 型に変換し、キーが見つからない場合は指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetUInt64OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合は `default_value_expr` パラメータで渡された値を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetUInt64('all_types_dict', 'UInt64_value', 1);
+
+-- キーが存在しない場合、指定されたデフォルト値 (0) を返す
+SELECT dictGetUInt64OrDefault('all_types_dict', 'UInt64_value', 999, 0);
+```
+
+```response title=Response
+┌─dictGetUInt6⋯_value', 1)─┐
+│      9223372036854775807 │
+└──────────────────────────┘
+┌─dictGetUInt6⋯e', 999, 0)─┐
+│                        0 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt8 {#dictGetUInt8}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定内容に関係なく `UInt8` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetUInt8(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合には、Dictionary の設定で当該属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値を解析できない場合、または値が属性のデータ型と一致しない場合には例外を送出します。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetUInt8('all_types_dict', 'UInt8_value', 1)
+```
+
+```response title=Response
+┌─dictGetUInt8⋯_value', 1)─┐
+│                      100 │
+└──────────────────────────┘
+```
+
+
+## dictGetUInt8OrDefault {#dictGetUInt8OrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の属性値を、Dictionary の設定に関係なく `UInt8` データ型に変換するか、キーが見つからない場合は指定したデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetUInt8OrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーとなる値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+それ以外の場合には `default_value_expr` パラメータとして渡された値を返します。
+
+:::note
+ClickHouse は、属性の値をパースできない場合、または値が属性のデータ型と一致しない場合に例外を送出します。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- 存在するキーの場合
+SELECT dictGetUInt8('all_types_dict', 'UInt8_value', 1);
+
+-- 存在しないキーの場合は、指定したデフォルト値(0)を返す
+SELECT dictGetUInt8OrDefault('all_types_dict', 'UInt8_value', 999, 0);
+```
+
+```response title=Response
+┌─dictGetUInt8⋯_value', 1)─┐
+│                      100 │
+└──────────────────────────┘
+┌─dictGetUInt8⋯e', 999, 0)─┐
+│                        0 │
+└──────────────────────────┘
+```
+
+
+## dictGetUUID {#dictGetUUID}
+
+v1.1 で導入
+
+Dictionary の設定に関係なく、Dictionary の属性値を `UUID` データ型に変換します。
+
+**構文**
+
+```sql
+dictGetUUID(dict_name, attr_name, id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キーの値。Dictionary のキー型の値、またはタプル値（Dictionary の設定に依存）を返す式。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返します。
+対応する値が存在しない場合は、Dictionary の設定でその属性に対して指定された `<null_value>` 要素の内容を返します。
+
+:::note
+ClickHouse は、属性の値をパースできない場合、または値が属性のデータ型と一致しない場合に例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+SELECT dictGetUUID('all_types_dict', 'UUID_value', 1)
+```
+
+```response title=Response
+┌─dictGetUUID(⋯_value', 1)─────────────┐
+│ 123e4567-e89b-12d3-a456-426614174000 │
+└──────────────────────────────────────┘
+```
+
+
+## dictGetUUIDOrDefault {#dictGetUUIDOrDefault}
+
+導入バージョン: v1.1
+
+Dictionary の設定に関係なく、Dictionary の属性の値を `UUID` データ型に変換します。キーが見つからない場合は、指定されたデフォルト値を返します。
+
+**構文**
+
+```sql
+dictGetUUIDOrDefault(dict_name, attr_name, id_expr, default_value_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `attr_name` — Dictionary のカラム名。[`String`](/sql-reference/data-types/string) または [`Tuple(String)`](/sql-reference/data-types/tuple)
+* `id_expr` — キー値。Dictionary のキー型の値、またはタプル値を返す式（Dictionary の設定に依存します）。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+* `default_value_expr` — Dictionary に `id_expr` キーを持つ行が存在しない場合に返される値。[`Expression`](/sql-reference/data-types/special-data-types/expression) または [`Tuple(T)`](/sql-reference/data-types/tuple)
+
+**戻り値**
+
+`id_expr` に対応する Dictionary 属性の値を返し、
+対応する値が存在しない場合は `default_value_expr` パラメータで指定された値を返します。
+
+:::note
+属性の値を解釈できない場合、または値が属性のデータ型と一致しない場合、ClickHouse は例外をスローします。
+:::
+
+**例**
+
+**使用例**
+
+```sql title=Query
+-- キーが存在する場合
+SELECT dictGetUUID('all_types_dict', 'UUID_value', 1);
+
+-- キーが存在しない場合、指定したデフォルト値を返す
+SELECT dictGetUUIDOrDefault('all_types_dict', 'UUID_value', 999, '00000000-0000-0000-0000-000000000000'::UUID);
+```
+
+```response title=Response
+┌─dictGetUUID('all_t⋯ 'UUID_value', 1)─┐
+│ 550e8400-e29b-41d4-a716-446655440000 │
+└──────────────────────────────────────┘
+┌─dictGetUUIDOrDefa⋯000000000000'::UUID)─┐
+│ 00000000-0000-0000-0000-000000000000   │
+└────────────────────────────────────────┘
+```
+
+
+## dictHas {#dictHas}
+
+導入バージョン: v1.1
+
+Dictionary にキーが存在するかどうかを確認します。
+
+**構文**
+
+```sql
+dictHas('dict_name', id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `id_expr` — キー値。[`const String`](/sql-reference/data-types/string)
+
+**戻り値**
+
+キーが存在する場合は `1`、存在しない場合は `0` を返します。[`UInt8`](/sql-reference/data-types/int-uint)
+
+**例**
+
+**Dictionary 内でキーの存在を確認する**
+
+```sql title=Query
+-- 以下の階層型Dictionaryを考えます:
+-- 0 (ルート)
+-- └── 1 (レベル1 - ノード1)
+--     ├── 2 (レベル2 - ノード2)
+--     │   ├── 4 (レベル3 - ノード4)
+--     │   └── 5 (レベル3 - ノード5)
+--     └── 3 (レベル2 - ノード3)
+--         └── 6 (レベル3 - ノード6)
+
+SELECT dictHas('hierarchical_dictionary', 2);
+SELECT dictHas('hierarchical_dictionary', 7);
+```
+
+```response title=Response
+┌─dictHas('hie⋯ionary', 2)─┐
+│                        1 │
+└──────────────────────────┘
+┌─dictHas('hie⋯ionary', 7)─┐
+│                        0 │
+└──────────────────────────┘
+```
+
+
+## dictIsIn {#dictIsIn}
+
+導入バージョン: v1.1
+
+Dictionary 内の階層チェーン全体を対象に、キーの先祖をチェックします。
+
+**構文**
+
+```sql
+dictIsIn(dict_name, child_id_expr, ancestor_id_expr)
+```
+
+**引数**
+
+* `dict_name` — Dictionary の名前。[`String`](/sql-reference/data-types/string)
+* `child_id_expr` — チェック対象のキー。[`String`](/sql-reference/data-types/string)
+* `ancestor_id_expr` — キー `child_id_expr` の想定される祖先キー。[`const String`](/sql-reference/data-types/string)
+
+**返り値**
+
+`child_id_expr` が `ancestor_id_expr` の子でない場合は `0` を返し、`child_id_expr` が `ancestor_id_expr` の子である場合、または `child_id_expr` が `ancestor_id_expr` と等しい場合は `1` を返します。[`UInt8`](/sql-reference/data-types/int-uint)
+
+**例**
+
+**階層関係の確認**
+
+```sql title=Query
+-- 有効な階層
+SELECT dictIsIn('hierarchical_dictionary', 6, 3)
+
+-- 無効な階層
+SELECT dictIsIn('hierarchical_dictionary', 3, 5)
+```
+
+```response title=Response
+┌─dictIsIn('hi⋯ary', 6, 3)─┐
+│                        1 │
+└──────────────────────────┘
+┌─dictIsIn('hi⋯ary', 3, 5)─┐
+│                        0 │
+└──────────────────────────┘
+```
+
+{/*AUTOGENERATED_END*/ }
diff --git a/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/statements/select/limit.md b/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/statements/select/limit.md
new file mode 100644
index 00000000000..381d92de282
--- /dev/null
+++ b/i18n/jp/docusaurus-plugin-content-docs/current/sql-reference/statements/select/limit.md
@@ -0,0 +1,141 @@
+---
+description: 'LIMIT 句のドキュメント'
+sidebar_label: 'LIMIT'
+slug: /sql-reference/statements/select/limit
+title: 'LIMIT 句'
+doc_type: 'reference'
+---
+
+# LIMIT 句 {#limit-clause}
+
+`LIMIT` 句は、クエリの結果として返される行数を制御します。
+
+## 基本構文 {#basic-syntax}
+
+**先頭の行を選択:**
+
+```sql
+LIMIT m
+```
+
+結果セットから先頭の `m` 行を返します。結果セットのレコード数が `m` 未満の場合は、すべてのレコードを返します。
+
+**代替 TOP 構文（MS SQL Server 互換）：**
+
+```sql
+-- SELECT TOP 数値|パーセント カラム名 FROM テーブル名
+SELECT TOP 10 * FROM numbers(100);
+SELECT TOP 0.1 * FROM numbers(100);
+```
+
+これは `LIMIT m` と同等であり、Microsoft SQL Server 用のクエリとの互換性を保つために使用できます。
+
+**オフセット指定付き SELECT:**
+
+```sql
+LIMIT m OFFSET n
+-- または同等に:
+LIMIT n, m
+```
+
+最初の `n` 行をスキップし、その後の `m` 行を返します。
+
+どちらの形式でも、`n` と `m` は 0 以上の整数でなければなりません。
+
+
+## 負の LIMIT {#negative-limits}
+
+負の値を使用して、結果セットの*末尾*から行を選択します。
+
+| 構文 | 結果 |
+|--------|--------|
+| `LIMIT -m` | 末尾の `m` 行 |
+| `LIMIT -m OFFSET -n` | 末尾の `n` 行をスキップした後の末尾の `m` 行 |
+| `LIMIT m OFFSET -n` | 末尾の `n` 行をスキップした後の先頭の `m` 行 |
+| `LIMIT -m OFFSET n` | 先頭の `n` 行をスキップした後の末尾の `m` 行 |
+
+`LIMIT -n, -m` 構文は `LIMIT -m OFFSET -n` と同等です。
+
+## 小数による LIMIT {#fractional-limits}
+
+0 から 1 の間の小数値を使って、行の一定割合を選択できます:
+
+| 構文 | 結果 |
+|--------|--------|
+| `LIMIT 0.1` | 先頭 10% の行 |
+| `LIMIT 1 OFFSET 0.5` | 中央の行 |
+| `LIMIT 0.25 OFFSET 0.5` | 第3四分位（先頭 50% をスキップした後の 25% の行） |
+
+:::note
+
+- 小数は 0 より大きく 1 より小さい [Float64](../../data-types/float.md) 型の値でなければなりません。
+- 小数で指定された行数は、最も近い整数に丸められます。
+:::
+
+## 制限タイプの組み合わせ {#combining-limit-types}
+
+標準の整数と小数や負のオフセットを組み合わせて使用できます。
+
+```sql
+LIMIT 10 OFFSET 0.5    -- 中間地点から10行
+LIMIT 10 OFFSET -20    -- 最後の20行をスキップした後の10行
+```
+
+
+## LIMIT ... WITH TIES {#limit--with-ties-modifier}
+
+`WITH TIES` 修飾子は、LIMIT 句で取得される最後の行と同じ `ORDER BY` の値を持つ行を、追加で結果に含めます。
+
+```sql
+SELECT * FROM (
+    SELECT number % 50 AS n FROM numbers(100)
+) ORDER BY n LIMIT 0, 5
+```
+
+```response
+┌─n─┐
+│ 0 │
+│ 0 │
+│ 1 │
+│ 1 │
+│ 2 │
+└───┘
+```
+
+`WITH TIES` を指定すると、最後の値と同じ値を持つすべての行が含まれます。
+
+```sql
+SELECT * FROM (
+    SELECT number % 50 AS n FROM numbers(100)
+) ORDER BY n LIMIT 0, 5 WITH TIES
+```
+
+```response
+┌─n─┐
+│ 0 │
+│ 0 │
+│ 1 │
+│ 1 │
+│ 2 │
+│ 2 │
+└───┘
+```
+
+行 6 は、行 5 と同じ値（`2`）を持つため含まれます。
+
+:::note
+`WITH TIES` は負の LIMIT 値ではサポートされていません。
+:::
+
+この修飾子は、[`ORDER BY ... WITH FILL`](/sql-reference/statements/select/order-by#order-by-expr-with-fill-modifier) 修飾子と組み合わせて使用できます。
+
+
+## 考慮事項 {#considerations}
+
+**非決定的な結果:** [`ORDER BY`](../../../sql-reference/statements/select/order-by.md) 句がない場合、返される行は任意のものとなり、クエリの実行ごとに結果が変わる可能性があります。
+
+**サーバー側の制限:** 返される行数は、[limit 設定](../../../operations/settings/settings.md#limit) によっても影響を受けます。
+
+## 関連項目 {#see-also}
+
+- [LIMIT BY](/sql-reference/statements/select/limit-by) — 値のグループごとに行数を制限でき、各カテゴリ内で上位 N 件の結果を取得するのに便利です。
\ No newline at end of file
diff --git a/i18n/ru/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md b/i18n/ru/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
index f778a6a1dcf..f8b7824bf59 100644
--- a/i18n/ru/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
+++ b/i18n/ru/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
@@ -21,141 +21,141 @@ ClickHouse поддерживает все стандартные агрегат
 
 {/*AUTOGENERATED_START*/ }
 
-| Страница                                                                                                                    | Описание                                                                                                                                                                                                                                                                                                                                                  |
-| --------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| [aggThrow](/sql-reference/aggregate-functions/reference/aggthrow)                                                           | Эта функция может использоваться для проверки безопасной работы кода при исключениях. При создании она будет генерировать исключение с указанной вероятностью.                                                                                                                                                                                            |
-| [analysisOfVariance](/sql-reference/aggregate-functions/reference/analysis_of_variance)                                     | Предоставляет статистический критерий для однофакторного дисперсионного анализа (ANOVA-тест). Это критерий для нескольких групп нормально распределённых наблюдений, позволяющий определить, одинаковы ли средние значения во всех группах или нет.                                                                                                       |
-| [any](/sql-reference/aggregate-functions/reference/any)                                                                     | Возвращает первое встретившееся значение столбца.                                                                                                                                                                                                                                                                                                         |
-| [anyHeavy](/sql-reference/aggregate-functions/reference/anyheavy)                                                           | Выбирает часто встречающееся значение с использованием алгоритма «heavy hitters». Если существует значение, которое встречается более чем в половине случаев в каждом из потоков выполнения запроса, возвращается это значение. Как правило, результат недетерминирован.                                                                                  |
-| [anyLast](/sql-reference/aggregate-functions/reference/anylast)                                                             | Возвращает последнее встретившееся значение столбца.                                                                                                                                                                                                                                                                                                      |
-| [approx&#95;top&#95;k](/sql-reference/aggregate-functions/reference/approxtopk)                                             | Возвращает массив приблизительно наиболее часто встречающихся значений и их частот в указанном столбце.                                                                                                                                                                                                                                                   |
-| [approx&#95;top&#95;sum](/sql-reference/aggregate-functions/reference/approxtopsum)                                         | Возвращает массив приблизительно наиболее часто встречающихся значений в указанном столбце и соответствующих им счётчиков.                                                                                                                                                                                                                                |
-| [argMax](/sql-reference/aggregate-functions/reference/argmax)                                                               | Вычисляет значение `arg` при максимальном значении `val`.                                                                                                                                                                                                                                                                                                 |
-| [argMin](/sql-reference/aggregate-functions/reference/argmin)                                                               | Вычисляет значение `arg` для минимального значения `val`. Если существует несколько строк с одинаковым значением `val`, являющимся максимальным, то то, какое из связанных значений `arg` будет возвращено, не определено.                                                                                                                                |
-| [argAndMax](/sql-reference/aggregate-functions/reference/argandmax)                                                         | Вычисляет значения `arg` и `val` для максимального значения `val`. Если существует несколько строк с одинаковым максимальным значением `val`, то какие из соответствующих значений `arg` и `val` будут возвращены, недетерминированно.                                                                                                                    |
-| [argAndMin](/sql-reference/aggregate-functions/reference/argandmin)                                                         | Вычисляет значения `arg` и `val` для минимального значения `val`. Если существует несколько строк с одинаковым минимальным значением `val`, то выбор того, какие связанные `arg` и `val` будут возвращены, недетерминирован.                                                                                                                              |
-| [groupArrayArray](/sql-reference/aggregate-functions/reference/grouparrayarray)                                             | Объединяет массивы в один массив, элементы которого представляют собой исходные массивы.                                                                                                                                                                                                                                                                  |
-| [avg](/sql-reference/aggregate-functions/reference/avg)                                                                     | Вычисляет арифметическое среднее.                                                                                                                                                                                                                                                                                                                         |
-| [avgWeighted](/sql-reference/aggregate-functions/reference/avgweighted)                                                     | Вычисляет взвешенное арифметическое среднее.                                                                                                                                                                                                                                                                                                              |
-| [boundingRatio](/sql-reference/aggregate-functions/reference/boundingRatio)                                                 | Агрегатная функция, вычисляющая наклон между самой левой и самой правой точками в группе значений.                                                                                                                                                                                                                                                        |
-| [categoricalInformationValue](/sql-reference/aggregate-functions/reference/categoricalinformationvalue)                     | Вычисляет значение `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` для каждой категории.                                                                                                                                                                                                                                                   |
-| [contingency](/sql-reference/aggregate-functions/reference/contingency)                                                     | Функция `contingency` вычисляет коэффициент сопряжённости — величину, которая измеряет степень связи между двумя столбцами в таблице. Расчёт аналогичен функции `cramersV`, но используется другой знаменатель под знаком квадратного корня.                                                                                                              |
-| [corr](/sql-reference/aggregate-functions/reference/corr)                                                                   | Вычисляет коэффициент корреляции Пирсона.                                                                                                                                                                                                                                                                                                                 |
-| [corrMatrix](/sql-reference/aggregate-functions/reference/corrmatrix)                                                       | Вычисляет матрицу корреляции для N переменных.                                                                                                                                                                                                                                                                                                            |
-| [corrStable](/sql-reference/aggregate-functions/reference/corrstable)                                                       | Вычисляет коэффициент корреляции Пирсона, но при этом использует численно устойчивый алгоритм.                                                                                                                                                                                                                                                            |
-| [count](/sql-reference/aggregate-functions/reference/count)                                                                 | Подсчитывает количество строк или значений, отличных от NULL.                                                                                                                                                                                                                                                                                             |
-| [covarPop](/sql-reference/aggregate-functions/reference/covarpop)                                                           | Вычисляет ковариацию генеральной совокупности                                                                                                                                                                                                                                                                                                             |
-| [covarPopMatrix](/sql-reference/aggregate-functions/reference/covarpopmatrix)                                               | Возвращает ковариационную матрицу генеральной совокупности по N переменным.                                                                                                                                                                                                                                                                               |
-| [covarPopStable](/sql-reference/aggregate-functions/reference/covarpopstable)                                               | Вычисляет ковариацию по генеральной совокупности                                                                                                                                                                                                                                                                                                          |
-| [covarSamp](/sql-reference/aggregate-functions/reference/covarsamp)                                                         | Вычисляет значение выражения `Σ((x - x̅)(y - y̅)) / (n - 1)`                                                                                                                                                                                                                                                                                              |
-| [covarSampMatrix](/sql-reference/aggregate-functions/reference/covarsampmatrix)                                             | Возвращает выборочную ковариационную матрицу для N переменных.                                                                                                                                                                                                                                                                                            |
-| [covarSampStable](/sql-reference/aggregate-functions/reference/covarsampstable)                                             | Аналогична `covarSamp`, но работает медленнее, при этом обеспечивая меньшую погрешность вычислений.                                                                                                                                                                                                                                                       |
-| [cramersV](/sql-reference/aggregate-functions/reference/cramersv)                                                           | Результат функции `cramersV` лежит в диапазоне от 0 (значение 0 соответствует отсутствию зависимости между переменными) до 1 и может достигать 1 только в том случае, если каждое значение полностью определяется другим. Его можно рассматривать как степень связи между двумя переменными, выраженную в процентах от её максимально возможной величины. |
-| [cramersVBiasCorrected](/sql-reference/aggregate-functions/reference/cramersvbiascorrected)                                 | Вычисляет V Крамера с поправкой на смещение.                                                                                                                                                                                                                                                                                                              |
-| [deltaSum](/sql-reference/aggregate-functions/reference/deltasum)                                                           | Вычисляет сумму арифметических разностей между соседними строками.                                                                                                                                                                                                                                                                                        |
-| [deltaSumTimestamp](/sql-reference/aggregate-functions/reference/deltasumtimestamp)                                         | Вычисляет разность между соседними строками. Если разность отрицательная, она игнорируется.                                                                                                                                                                                                                                                               |
-| [entropy](/sql-reference/aggregate-functions/reference/entropy)                                                             | Вычисляет энтропию Шеннона для столбца значений.                                                                                                                                                                                                                                                                                                          |
-| [estimateCompressionRatio](/sql-reference/aggregate-functions/reference/estimateCompressionRatio)                           | Оценивает коэффициент сжатия для указанного столбца без фактического выполнения сжатия.                                                                                                                                                                                                                                                                   |
-| [exponentialMovingAverage](/sql-reference/aggregate-functions/reference/exponentialMovingAverage)                           | Вычисляет экспоненциальное скользящее среднее значений за заданный период времени.                                                                                                                                                                                                                                                                        |
-| [exponentialTimeDecayedAvg](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedAvg)                         | Возвращает экспоненциально сглаженное взвешенное скользящее среднее значений временного ряда в момент времени `t`.                                                                                                                                                                                                                                        |
-| [exponentialTimeDecayedCount](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedCount)                     | Возвращает накопленное экспоненциальное затухание во временном ряду в момент времени с индексом `t`.                                                                                                                                                                                                                                                      |
-| [exponentialTimeDecayedMax](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedMax)                         | Возвращает максимальное значение экспоненциально сглаженного скользящего среднего между его значениями в моменты времени `t` и `t-1`.                                                                                                                                                                                                                     |
-| [exponentialTimeDecayedSum](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedSum)                         | Возвращает сумму значений экспоненциально сглаженного скользящего среднего временного ряда в момент времени `t`.                                                                                                                                                                                                                                          |
-| [first&#95;value](/sql-reference/aggregate-functions/reference/first_value)                                                 | Это псевдоним агрегатной функции `any`, но он был введён для совместимости с оконными функциями (Window Functions), где иногда необходимо обрабатывать значения `NULL` (по умолчанию все агрегатные функции ClickHouse игнорируют значения `NULL`).                                                                                                       |
-| [flameGraph](/sql-reference/aggregate-functions/reference/flame_graph)                                                      | Агрегатная функция, которая строит flamegraph на основе списка трассировок стека.                                                                                                                                                                                                                                                                         |
-| [groupArray](/sql-reference/aggregate-functions/reference/grouparray)                                                       | Создаёт массив значений аргументов. Значения могут добавляться в массив в произвольном порядке.                                                                                                                                                                                                                                                           |
-| [groupArrayInsertAt](/sql-reference/aggregate-functions/reference/grouparrayinsertat)                                       | Вставляет значение в массив на указанную позицию.                                                                                                                                                                                                                                                                                                         |
-| [groupArrayIntersect](/sql-reference/aggregate-functions/reference/grouparrayintersect)                                     | Возвращает пересечение указанных массивов (все элементы, которые присутствуют во всех указанных массивах).                                                                                                                                                                                                                                                |
-| [groupArrayLast](/sql-reference/aggregate-functions/reference/grouparraylast)                                               | Создает массив из последних значений переданного аргумента.                                                                                                                                                                                                                                                                                               |
-| [groupArrayMovingAvg](/sql-reference/aggregate-functions/reference/grouparraymovingavg)                                     | Вычисляет скользящее среднее значений на входе.                                                                                                                                                                                                                                                                                                           |
-| [groupArrayMovingSum](/sql-reference/aggregate-functions/reference/grouparraymovingsum)                                     | Вычисляет скользящую сумму входных значений.                                                                                                                                                                                                                                                                                                              |
-| [groupArraySample](/sql-reference/aggregate-functions/reference/grouparraysample)                                           | Создаёт массив выборочных значений аргументов. Размер результирующего массива составляет не более `max_size` элементов. Значения аргументов выбираются и добавляются в массив случайным образом.                                                                                                                                                          |
-| [timeSeriesGroupArray](/sql-reference/aggregate-functions/reference/timeSeriesGroupArray)                                   | Сортирует временные ряды по временной метке в порядке возрастания.                                                                                                                                                                                                                                                                                        |
-| [groupArraySorted](/sql-reference/aggregate-functions/reference/grouparraysorted)                                           | Возвращает массив с первыми N элементами в порядке возрастания.                                                                                                                                                                                                                                                                                           |
-| [groupBitAnd](/sql-reference/aggregate-functions/reference/groupbitand)                                                     | Выполняет побитовую операцию `AND` над последовательностью чисел.                                                                                                                                                                                                                                                                                         |
-| [groupBitmap](/sql-reference/aggregate-functions/reference/groupbitmap)                                                     | Bitmap- или агрегирующие вычисления по беззнаковому целочисленному столбцу возвращают кардинальность типа UInt64; если добавить суффикс -State, возвращается объект bitmap                                                                                                                                                                                |
-| [groupBitmapAnd](/sql-reference/aggregate-functions/reference/groupbitmapand)                                               | Вычисляет операцию AND для битмапового столбца и возвращает мощность множества в виде значения типа UInt64; при добавлении суффикса -State возвращает объект битмапа.                                                                                                                                                                                     |
-| [groupBitmapOr](/sql-reference/aggregate-functions/reference/groupbitmapor)                                                 | Вычисляет побитовое OR битмап-столбца и возвращает мощность множества типа UInt64; если добавить суффикс -State, функция возвращает объект битмапа. Эквивалентна `groupBitmapMerge`.                                                                                                                                                                      |
-| [groupBitmapXor](/sql-reference/aggregate-functions/reference/groupbitmapxor)                                               | Вычисляет XOR bitmap-столбца и возвращает кардинальность в виде значения типа UInt64; при использовании с суффиксом -State возвращает объект bitmap                                                                                                                                                                                                       |
-| [groupBitOr](/sql-reference/aggregate-functions/reference/groupbitor)                                                       | Выполняет побитовое `OR` над последовательностью чисел.                                                                                                                                                                                                                                                                                                   |
-| [groupBitXor](/sql-reference/aggregate-functions/reference/groupbitxor)                                                     | Применяет операцию побитового `XOR` к последовательности чисел.                                                                                                                                                                                                                                                                                           |
-| [groupUniqArray](/sql-reference/aggregate-functions/reference/groupuniqarray)                                               | Создаёт массив из значений аргументов.                                                                                                                                                                                                                                                                                                                    |
-| [intervalLengthSum](/sql-reference/aggregate-functions/reference/intervalLengthSum)                                         | Вычисляет общую длину объединения всех интервалов (отрезков на числовой оси).                                                                                                                                                                                                                                                                             |
-| [kolmogorovSmirnovTest](/sql-reference/aggregate-functions/reference/kolmogorovsmirnovtest)                                 | Применяет критерий Колмогорова–Смирнова к выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                                     |
-| [kurtPop](/sql-reference/aggregate-functions/reference/kurtpop)                                                             | Вычисляет эксцесс последовательности значений.                                                                                                                                                                                                                                                                                                            |
-| [kurtSamp](/sql-reference/aggregate-functions/reference/kurtsamp)                                                           | Вычисляет выборочный эксцесс для последовательности.                                                                                                                                                                                                                                                                                                      |
-| [largestTriangleThreeBuckets](/sql-reference/aggregate-functions/reference/largestTriangleThreeBuckets)                     | Применяет алгоритм Largest-Triangle-Three-Buckets к входным данным.                                                                                                                                                                                                                                                                                       |
-| [last&#95;value](/sql-reference/aggregate-functions/reference/last_value)                                                   | Выбирает последнее встреченное значение, аналогично `anyLast`, но допускает значение NULL.                                                                                                                                                                                                                                                                |
-| [mannWhitneyUTest](/sql-reference/aggregate-functions/reference/mannwhitneyutest)                                           | Применяет ранговый критерий Манна — Уитни к выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                                   |
-| [max](/sql-reference/aggregate-functions/reference/max)                                                                     | Агрегатная функция, вычисляющая максимум по группе значений.                                                                                                                                                                                                                                                                                              |
-| [maxIntersections](/sql-reference/aggregate-functions/reference/maxintersections)                                           | Агрегатная функция, вычисляющая максимальное количество пересечений в группе интервалов (при условии, что все интервалы пересекаются хотя бы один раз).                                                                                                                                                                                                   |
-| [maxIntersectionsPosition](/sql-reference/aggregate-functions/reference/maxintersectionsposition)                           | Агрегатная функция, вычисляющая позиции вхождений функции maxIntersections.                                                                                                                                                                                                                                                                               |
-| [maxMap](/sql-reference/aggregate-functions/reference/maxmap)                                                               | Вычисляет максимум из массива `value` по ключам, указанным в массиве `key`.                                                                                                                                                                                                                                                                               |
-| [meanZTest](/sql-reference/aggregate-functions/reference/meanztest)                                                         | Применяет z‑критерий для проверки среднего по выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                                 |
-| [median](/sql-reference/aggregate-functions/reference/median)                                                               | Функции `median*` являются синонимами соответствующих функций `quantile*`. Они вычисляют медиану числовой выборки данных.                                                                                                                                                                                                                                 |
-| [min](/sql-reference/aggregate-functions/reference/min)                                                                     | Агрегатная функция, вычисляющая минимум по группе значений.                                                                                                                                                                                                                                                                                               |
-| [minMap](/sql-reference/aggregate-functions/reference/minmap)                                                               | Вычисляет минимальное значение из массива `value` по ключам, указанным в массиве `key`.                                                                                                                                                                                                                                                                   |
-| [quantile](/sql-reference/aggregate-functions/reference/quantile)                                                           | Вычисляет приближённый квантиль последовательности числовых данных.                                                                                                                                                                                                                                                                                       |
-| [quantileBFloat16](/sql-reference/aggregate-functions/reference/quantilebfloat16)                                           | Вычисляет приближённый квантиль выборки, состоящей из чисел типа bfloat16.                                                                                                                                                                                                                                                                                |
-| [quantileDD](/sql-reference/aggregate-functions/reference/quantileddsketch)                                                 | Вычисляет приближённый квантиль выборки с гарантированной относительной погрешностью.                                                                                                                                                                                                                                                                     |
-| [quantileDeterministic](/sql-reference/aggregate-functions/reference/quantiledeterministic)                                 | Вычисляет приближённый квантиль для числовой последовательности данных.                                                                                                                                                                                                                                                                                   |
-| [Функции quantileExact](/sql-reference/aggregate-functions/reference/quantileexact)                                         | функции quantileExact, quantileExactLow, quantileExactHigh, quantileExactExclusive, quantileExactInclusive                                                                                                                                                                                                                                                |
-| [quantileExactWeighted](/sql-reference/aggregate-functions/reference/quantileexactweighted)                                 | Точно вычисляет квантиль последовательности числовых данных с учётом веса каждого элемента.                                                                                                                                                                                                                                                               |
-| [quantileGK](/sql-reference/aggregate-functions/reference/quantileGK)                                                       | Вычисляет квантиль последовательности числовых данных с использованием алгоритма Гринвальда–Кханны.                                                                                                                                                                                                                                                       |
-| [quantileExactWeightedInterpolated](/sql-reference/aggregate-functions/reference/quantileExactWeightedInterpolated)         | Вычисляет квантиль последовательности числовых данных с использованием линейной интерполяции с учётом веса каждого элемента.                                                                                                                                                                                                                              |
-| [quantileInterpolatedWeighted](/sql-reference/aggregate-functions/reference/quantileInterpolatedWeighted)                   | Вычисляет квантиль последовательности числовых данных с использованием линейной интерполяции с учётом веса каждого элемента.                                                                                                                                                                                                                              |
-| [Функции quantiles](/sql-reference/aggregate-functions/reference/quantiles)                                                 | quantiles, quantilesExactExclusive, quantilesExactInclusive, quantilesGK                                                                                                                                                                                                                                                                                  |
-| [quantileTDigest](/sql-reference/aggregate-functions/reference/quantiletdigest)                                             | Вычисляет приближённый квантиль для числовой последовательности данных с помощью алгоритма t-digest.                                                                                                                                                                                                                                                      |
-| [quantileTDigestWeighted](/sql-reference/aggregate-functions/reference/quantiletdigestweighted)                             | Вычисляет приближённый квантиль последовательности числовых данных с использованием алгоритма t-digest.                                                                                                                                                                                                                                                   |
-| [quantileTiming](/sql-reference/aggregate-functions/reference/quantiletiming)                                               | С заданной точностью вычисляет квантиль числовой последовательности.                                                                                                                                                                                                                                                                                      |
-| [quantileTimingWeighted](/sql-reference/aggregate-functions/reference/quantiletimingweighted)                               | С определённой точностью вычисляет квантиль числовой последовательности данных с учётом веса каждого её элемента.                                                                                                                                                                                                                                         |
-| [rankCorr](/sql-reference/aggregate-functions/reference/rankCorr)                                                           | Вычисляет коэффициент ранговой корреляции.                                                                                                                                                                                                                                                                                                                |
-| [simpleLinearRegression](/sql-reference/aggregate-functions/reference/simplelinearregression)                               | Выполняет простую (одномерную) линейную регрессию.                                                                                                                                                                                                                                                                                                        |
-| [singleValueOrNull](/sql-reference/aggregate-functions/reference/singlevalueornull)                                         | Агрегатная функция `singleValueOrNull` используется для реализации операторов с подзапросами, таких как `x = ALL (SELECT ...)`. Она проверяет, существует ли ровно одно уникальное значение, отличное от NULL, в данных.                                                                                                                                  |
-| [skewPop](/sql-reference/aggregate-functions/reference/skewpop)                                                             | Вычисляет коэффициент асимметрии последовательности.                                                                                                                                                                                                                                                                                                      |
-| [skewSamp](/sql-reference/aggregate-functions/reference/skewsamp)                                                           | Вычисляет выборочную асимметрию последовательности.                                                                                                                                                                                                                                                                                                       |
-| [sparkbar](/sql-reference/aggregate-functions/reference/sparkbar)                                                           | Функция строит частотную гистограмму для значений `x` и частоты повторения `y` этих значений на интервале `[min_x, max_x]`.                                                                                                                                                                                                                               |
-| [stddevPop](/sql-reference/aggregate-functions/reference/stddevpop)                                                         | Результат равен квадратному корню от varPop.                                                                                                                                                                                                                                                                                                              |
-| [stddevPopStable](/sql-reference/aggregate-functions/reference/stddevpopstable)                                             | Результат равен квадратному корню из varPop. В отличие от stddevPop, эта функция использует численно устойчивый алгоритм.                                                                                                                                                                                                                                 |
-| [stddevSamp](/sql-reference/aggregate-functions/reference/stddevsamp)                                                       | Результат равен квадратному корню из varSamp.                                                                                                                                                                                                                                                                                                             |
-| [stddevSampStable](/sql-reference/aggregate-functions/reference/stddevsampstable)                                           | Результат равен квадратному корню из varSamp. В отличие от функции varSamp, эта функция использует численно устойчивый алгоритм.                                                                                                                                                                                                                          |
-| [stochasticLinearRegression](/sql-reference/aggregate-functions/reference/stochasticlinearregression)                       | Эта функция реализует стохастическую линейную регрессию. Она поддерживает пользовательские параметры скорости обучения, коэффициента L2-регуляризации, размера мини-батча и предоставляет несколько методов для обновления весов (Adam, простой SGD, Momentum, Nesterov).                                                                                 |
-| [stochasticLogisticRegression](/sql-reference/aggregate-functions/reference/stochasticlogisticregression)                   | Эта функция реализует стохастическую логистическую регрессию. Ее можно использовать для задач бинарной классификации; она поддерживает те же настраиваемые параметры, что и функция stochasticLinearRegression, и работает аналогичным образом.                                                                                                           |
-| [studentTTest](/sql-reference/aggregate-functions/reference/studentttest)                                                   | Применяет t-критерий Стьюдента к выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                                              |
-| [studentTTestOneSample](/sql-reference/aggregate-functions/reference/studentttestonesample)                                 | Применяет одновыборочный t-критерий Стьюдента к выборке и известному значению среднего генеральной совокупности.                                                                                                                                                                                                                                          |
-| [sum](/sql-reference/aggregate-functions/reference/sum)                                                                     | Вычисляет сумму. Применима только к числовым значениям.                                                                                                                                                                                                                                                                                                   |
-| [sumCount](/sql-reference/aggregate-functions/reference/sumcount)                                                           | Вычисляет сумму чисел и одновременно считает количество строк. Функция используется оптимизатором запросов ClickHouse: если в запросе присутствует несколько функций `sum`, `count` или `avg`, их можно заменить одной функцией `sumCount`, чтобы повторно использовать результаты вычислений. Как правило, нет необходимости вызывать эту функцию явно.  |
-| [sumKahan](/sql-reference/aggregate-functions/reference/sumkahan)                                                           | Вычисляет сумму чисел с использованием компенсированного алгоритма суммирования Кэхэна                                                                                                                                                                                                                                                                    |
-| [sumMap](/sql-reference/aggregate-functions/reference/summap)                                                               | Суммирует один или несколько массивов `value` в соответствии с ключами, заданными в массиве `key`. Возвращает кортеж массивов: ключи в отсортированном порядке, а затем значения, просуммированные для соответствующих ключей без переполнения.                                                                                                           |
-| [sumMapWithOverflow](/sql-reference/aggregate-functions/reference/summapwithoverflow)                                       | Суммирует массив `value` в соответствии с ключами, указанными в массиве `key`. Возвращает кортеж из двух массивов: ключи в отсортированном порядке и значения, суммированные для соответствующих ключей. Отличается от функции sumMap тем, что выполняет суммирование с переполнением.                                                                    |
-| [sumWithOverflow](/sql-reference/aggregate-functions/reference/sumwithoverflow)                                             | Вычисляет сумму чисел, используя для результата тот же тип данных, что и у входных параметров. Если сумма превышает максимальное значение для этого типа данных, она вычисляется с переполнением.                                                                                                                                                         |
-| [theilsU](/sql-reference/aggregate-functions/reference/theilsu)                                                             | Функция `theilsU` вычисляет коэффициент неопределённости Тейла U (Theil&#39;s U), величину, которая измеряет взаимосвязь между двумя столбцами в таблице.                                                                                                                                                                                                 |
-| [topK](/sql-reference/aggregate-functions/reference/topk)                                                                   | Возвращает массив приблизительно самых частых значений в указанном столбце. Результирующий массив упорядочен по убыванию их приблизительной частоты (а не по самим значениям).                                                                                                                                                                            |
-| [topKWeighted](/sql-reference/aggregate-functions/reference/topkweighted)                                                   | Возвращает массив приблизительно наиболее частых значений в указанном столбце. Полученный массив отсортирован по убыванию приблизительной частоты значений (а не по самим значениям). Также учитывается вес значения.                                                                                                                                     |
-| [uniq](/sql-reference/aggregate-functions/reference/uniq)                                                                   | Вычисляет приблизительное количество различных значений аргумента.                                                                                                                                                                                                                                                                                        |
-| [uniqCombined](/sql-reference/aggregate-functions/reference/uniqcombined)                                                   | Вычисляет приблизительное количество уникальных значений аргумента.                                                                                                                                                                                                                                                                                       |
-| [uniqCombined64](/sql-reference/aggregate-functions/reference/uniqcombined64)                                               | Вычисляет приблизительное количество различных значений аргумента. Аналогична uniqCombined, но использует 64-битный хэш для всех типов данных, а не только для типа данных String.                                                                                                                                                                        |
-| [uniqExact](/sql-reference/aggregate-functions/reference/uniqexact)                                                         | Вычисляет точное количество уникальных значений аргумента.                                                                                                                                                                                                                                                                                                |
-| [uniqHLL12](/sql-reference/aggregate-functions/reference/uniqhll12)                                                         | Вычисляет приблизительное число различных значений аргумента с использованием алгоритма HyperLogLog.                                                                                                                                                                                                                                                      |
-| [uniqTheta](/sql-reference/aggregate-functions/reference/uniqthetasketch)                                                   | Вычисляет приблизительное количество различных значений аргумента с использованием фреймворка Theta Sketch.                                                                                                                                                                                                                                               |
-| [varPop](/sql-reference/aggregate-functions/reference/varPop)                                                               | Вычисляет дисперсию генеральной совокупности.                                                                                                                                                                                                                                                                                                             |
-| [varPopStable](/sql-reference/aggregate-functions/reference/varpopstable)                                                   | Возвращает генеральную дисперсию. В отличие от varPop эта функция использует численно устойчивый алгоритм. Работает медленнее, но даёт меньшую вычислительную погрешность.                                                                                                                                                                                |
-| [varSamp](/sql-reference/aggregate-functions/reference/varSamp)                                                             | Вычисляет выборочную дисперсию набора данных.                                                                                                                                                                                                                                                                                                             |
-| [varSampStable](/sql-reference/aggregate-functions/reference/varsampstable)                                                 | Вычисляет выборочную дисперсию набора данных. В отличие от `varSamp`, эта функция использует численно устойчивый алгоритм. Работает медленнее, но обеспечивает меньшую вычислительную погрешность.                                                                                                                                                        |
-| [welchTTest](/sql-reference/aggregate-functions/reference/welchttest)                                                       | Применяет t‑критерий Уэлча к выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                                                  |
-| [distinctDynamicTypes](/sql-reference/aggregate-functions/reference/distinctdynamictypes)                                   | Вычисляет список уникальных типов данных, хранящихся в столбце типа Dynamic.                                                                                                                                                                                                                                                                              |
-| [distinctJSONPaths](/sql-reference/aggregate-functions/reference/distinctjsonpaths)                                         | Возвращает список уникальных путей, хранящихся в JSON-столбце.                                                                                                                                                                                                                                                                                            |
-| [timeSeriesDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDeltaToGrid)                                 | Агрегатная функция, вычисляющая delta в стиле PromQL над данными временных рядов на заданной сетке.                                                                                                                                                                                                                                                       |
-| [timeSeriesInstantDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantDeltaToGrid)                   | Агрегирующая функция, вычисляющая PromQL-подобный idelta для данных временных рядов на заданной сетке.                                                                                                                                                                                                                                                    |
-| [timeSeriesInstantRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantRateToGrid)                     | Агрегирующая функция, вычисляющая PromQL-подобный irate по временным рядам на указанной сетке.                                                                                                                                                                                                                                                            |
-| [timeSeriesLastTwoSamples](/sql-reference/aggregate-functions/reference/timeSeriesLastTwoSamples)                           | Агрегатная функция для ресемплирования данных временных рядов для расчёта PromQL-подобных irate и idelta                                                                                                                                                                                                                                                  |
-| [timeSeriesRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesRateToGrid)                                   | Агрегатная функция, вычисляющая PromQL-подобный rate для данных временных рядов на заданной сетке.                                                                                                                                                                                                                                                        |
-| [timeSeriesResampleToGridWithStaleness](/sql-reference/aggregate-functions/reference/timeSeriesResampleToGridWithStaleness) | Агрегатная функция, выполняющая ресемплинг данных временных рядов на заданную сетку.                                                                                                                                                                                                                                                                      |
-| [timeSeriesDerivToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDerivToGrid)                                 | Агрегатная функция, вычисляющая производную в стиле PromQL по данным временных рядов на заданной сетке.                                                                                                                                                                                                                                                   |
-| [timeSeriesPredictLinearToGrid](/sql-reference/aggregate-functions/reference/timeSeriesPredictLinearToGrid)                 | Агрегатная функция, вычисляющая линейный прогноз в стиле PromQL по данным временных рядов на заданной сетке.                                                                                                                                                                                                                                              |
-| [timeSeriesChangesToGrid](/sql-reference/aggregate-functions/reference/timeSeriesChangesToGrid)                             | Агрегатная функция, вычисляющая изменения в стиле PromQL по данным временных рядов на заданной сетке.                                                                                                                                                                                                                                                     |
-| [timeSeriesResetsToGrid](/sql-reference/aggregate-functions/reference/timeSeriesResetsToGrid)                               | Агрегатная функция, вычисляющая сбросы в стиле PromQL по данным временных рядов на заданной сетке.                                                                                                                                                                                                                                                        |
-| [groupConcat](/sql-reference/aggregate-functions/reference/groupconcat)                                                     | Вычисляет строку, полученную конкатенацией строк из группы, с необязательным разделителем и необязательным ограничением на максимальное число элементов.                                                                                                                                                                                                  |
-| [quantilePrometheusHistogram](/sql-reference/aggregate-functions/reference/quantilePrometheusHistogram)                     | Вычисляет квантиль по гистограмме с использованием линейной интерполяции.                                                                                                                                                                                                                                                                                 |
+| Страница                                                                                                                    | Описание                                                                                                                                                                                                                                                                                                                                           |
+| --------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [aggThrow](/sql-reference/aggregate-functions/reference/aggthrow)                                                           | Эта функция может использоваться для проверки гарантий безопасности при возникновении исключений. При создании она будет выбрасывать исключение с указанной вероятностью.                                                                                                                                                                          |
+| [analysisOfVariance](/sql-reference/aggregate-functions/reference/analysis_of_variance)                                     | Предоставляет статистический тест для однофакторного дисперсионного анализа (тест ANOVA). Это тест для нескольких групп нормально распределённых наблюдений, позволяющий определить, имеют ли все группы одинаковое среднее значение или нет.                                                                                                      |
+| [any](/sql-reference/aggregate-functions/reference/any)                                                                     | Возвращает первое встреченное значение в столбце.                                                                                                                                                                                                                                                                                                  |
+| [anyHeavy](/sql-reference/aggregate-functions/reference/anyheavy)                                                           | Выбирает часто встречающееся значение с использованием алгоритма «heavy hitters». Если существует значение, которое более чем в половине случаев встречается в каждом потоке выполнения запроса, возвращается именно оно. Обычно результат не детерминирован.                                                                                      |
+| [anyLast](/sql-reference/aggregate-functions/reference/anylast)                                                             | Выбирает последнее встретившееся значение столбца.                                                                                                                                                                                                                                                                                                 |
+| [approx&#95;top&#95;k](/sql-reference/aggregate-functions/reference/approxtopk)                                             | Возвращает массив приблизительно наиболее частых значений и количества их вхождений в указанном столбце.                                                                                                                                                                                                                                           |
+| [approx&#95;top&#95;sum](/sql-reference/aggregate-functions/reference/approxtopsum)                                         | Возвращает массив приблизительно наиболее часто встречающихся значений и их количеств в указанном столбце.                                                                                                                                                                                                                                         |
+| [argMax](/sql-reference/aggregate-functions/reference/argmax)                                                               | Вычисляет значение `arg`, соответствующее максимальному значению `val`.                                                                                                                                                                                                                                                                            |
+| [argMin](/sql-reference/aggregate-functions/reference/argmin)                                                               | Вычисляет значение `arg` для минимального значения `val`. Если существует несколько строк с одинаковым минимальным значением `val`, то то, какое из соответствующих значений `arg` будет возвращено, не является детерминированным.                                                                                                                |
+| [argAndMax](/sql-reference/aggregate-functions/reference/argandmax)                                                         | Вычисляет значения `arg` и `val` для максимального значения `val`. Если существует несколько строк с одинаковым максимальным значением `val`, то то, какие из соответствующих `arg` и `val` будут возвращены, не определено.                                                                                                                       |
+| [argAndMin](/sql-reference/aggregate-functions/reference/argandmin)                                                         | Вычисляет значения `arg` и `val` для минимального значения `val`. Если существует несколько строк с одинаковым минимальным значением `val`, то какие именно из соответствующих значений `arg` и `val` будут возвращены, не гарантируется.                                                                                                          |
+| [groupArrayArray](/sql-reference/aggregate-functions/reference/grouparrayarray)                                             | Объединяет массивы в один массив массивов.                                                                                                                                                                                                                                                                                                         |
+| [avg](/sql-reference/aggregate-functions/reference/avg)                                                                     | Вычисляет среднее арифметическое.                                                                                                                                                                                                                                                                                                                  |
+| [avgWeighted](/sql-reference/aggregate-functions/reference/avgweighted)                                                     | Вычисляет взвешенное арифметическое среднее.                                                                                                                                                                                                                                                                                                       |
+| [boundingRatio](/sql-reference/aggregate-functions/reference/boundingRatio)                                                 | Агрегатная функция, вычисляющая наклон между самой левой и самой правой точками в группе значений.                                                                                                                                                                                                                                                 |
+| [categoricalInformationValue](/sql-reference/aggregate-functions/reference/categoricalinformationvalue)                     | Вычисляет значение `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` для каждой категории.                                                                                                                                                                                                                                            |
+| [contingency](/sql-reference/aggregate-functions/reference/contingency)                                                     | Функция `contingency` вычисляет коэффициент сопряжённости — значение, которое измеряет степень связи между двумя столбцами в таблице. Вычисление аналогично функции `cramersV`, но использует другой знаменатель в выражении под знаком квадратного корня.                                                                                         |
+| [corr](/sql-reference/aggregate-functions/reference/corr)                                                                   | Вычисляет коэффициент корреляции Пирсона.                                                                                                                                                                                                                                                                                                          |
+| [corrMatrix](/sql-reference/aggregate-functions/reference/corrmatrix)                                                       | Вычисляет матрицу корреляции для N переменных.                                                                                                                                                                                                                                                                                                     |
+| [corrStable](/sql-reference/aggregate-functions/reference/corrstable)                                                       | Вычисляет коэффициент корреляции Пирсона, используя численно устойчивый алгоритм.                                                                                                                                                                                                                                                                  |
+| [count](/sql-reference/aggregate-functions/reference/count)                                                                 | Подсчитывает количество строк или значений, отличных от NULL.                                                                                                                                                                                                                                                                                      |
+| [covarPop](/sql-reference/aggregate-functions/reference/covarpop)                                                           | Вычисляет ковариацию по генеральной совокупности                                                                                                                                                                                                                                                                                                   |
+| [covarPopMatrix](/sql-reference/aggregate-functions/reference/covarpopmatrix)                                               | Возвращает матрицу ковариаций генеральной совокупности для N переменных.                                                                                                                                                                                                                                                                           |
+| [covarPopStable](/sql-reference/aggregate-functions/reference/covarpopstable)                                               | Вычисляет ковариацию генеральной совокупности                                                                                                                                                                                                                                                                                                      |
+| [covarSamp](/sql-reference/aggregate-functions/reference/covarsamp)                                                         | Вычисляет значение выражения `Σ((x - x̅)(y - y̅)) / (n - 1)`                                                                                                                                                                                                                                                                                       |
+| [covarSampMatrix](/sql-reference/aggregate-functions/reference/covarsampmatrix)                                             | Возвращает выборочную ковариационную матрицу для N переменных.                                                                                                                                                                                                                                                                                     |
+| [covarSampStable](/sql-reference/aggregate-functions/reference/covarsampstable)                                             | Аналогична `covarSamp`, но работает медленнее при меньшей вычислительной погрешности.                                                                                                                                                                                                                                                              |
+| [cramersV](/sql-reference/aggregate-functions/reference/cramersv)                                                           | Результат функции `cramersV` лежит в диапазоне от 0 (что соответствует отсутствию связи между переменными) до 1 и может достигать 1 только в том случае, если каждое значение полностью определяется другим. Эту величину можно рассматривать как меру связи между двумя переменными, выраженную в процентах от их максимально возможной вариации. |
+| [cramersVBiasCorrected](/sql-reference/aggregate-functions/reference/cramersvbiascorrected)                                 | Вычисляет V Крамера, но с поправкой на смещение.                                                                                                                                                                                                                                                                                                   |
+| [deltaSum](/sql-reference/aggregate-functions/reference/deltasum)                                                           | Суммирует арифметическую разность между соседними строками.                                                                                                                                                                                                                                                                                        |
+| [deltaSumTimestamp](/sql-reference/aggregate-functions/reference/deltasumtimestamp)                                         | Вычисляет разности между соседними строками и суммирует их. Отрицательные разности игнорируются.                                                                                                                                                                                                                                                   |
+| [entropy](/sql-reference/aggregate-functions/reference/entropy)                                                             | Вычисляет энтропию Шеннона для столбца значений.                                                                                                                                                                                                                                                                                                   |
+| [estimateCompressionRatio](/sql-reference/aggregate-functions/reference/estimateCompressionRatio)                           | Оценивает коэффициент сжатия для заданного столбца, не выполняя его сжатие.                                                                                                                                                                                                                                                                        |
+| [exponentialMovingAverage](/sql-reference/aggregate-functions/reference/exponentialMovingAverage)                           | Вычисляет экспоненциальное скользящее среднее значений за заданный интервал времени.                                                                                                                                                                                                                                                               |
+| [exponentialTimeDecayedAvg](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedAvg)                         | Возвращает экспоненциально сглаженное взвешенное скользящее среднее значений временного ряда в момент времени `t`.                                                                                                                                                                                                                                 |
+| [exponentialTimeDecayedCount](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedCount)                     | Возвращает накопленное экспоненциальное затухание для временного ряда в момент времени с индексом `t`.                                                                                                                                                                                                                                             |
+| [exponentialTimeDecayedMax](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedMax)                         | Возвращает максимум из значений вычисленного экспоненциально сглаженного скользящего среднего во времени: в момент с индексом `t` и в момент `t-1`.                                                                                                                                                                                                |
+| [exponentialTimeDecayedSum](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedSum)                         | Возвращает сумму значений экспоненциально сглаженного скользящего среднего временного ряда в момент времени `t`.                                                                                                                                                                                                                                   |
+| [first&#95;value](/sql-reference/aggregate-functions/reference/first_value)                                                 | Это псевдоним для any, но он был добавлен для совместимости с Window Functions, где иногда требуется обрабатывать значения `NULL` (по умолчанию все агрегатные функции ClickHouse игнорируют значения `NULL`).                                                                                                                                     |
+| [flameGraph](/sql-reference/aggregate-functions/reference/flame_graph)                                                      | Агрегатная функция, строящая флеймграф по списку трассировок стека.                                                                                                                                                                                                                                                                                |
+| [groupArray](/sql-reference/aggregate-functions/reference/grouparray)                                                       | Создаёт массив значений аргументов. Значения могут добавляться в массив в произвольном (неопределённом) порядке.                                                                                                                                                                                                                                   |
+| [groupArrayInsertAt](/sql-reference/aggregate-functions/reference/grouparrayinsertat)                                       | Вставляет значение в массив на указанную позицию.                                                                                                                                                                                                                                                                                                  |
+| [groupArrayIntersect](/sql-reference/aggregate-functions/reference/grouparrayintersect)                                     | Возвращает пересечение заданных массивов (все элементы, которые присутствуют во всех этих массивах).                                                                                                                                                                                                                                               |
+| [groupArrayLast](/sql-reference/aggregate-functions/reference/grouparraylast)                                               | Создает массив из значений последнего аргумента.                                                                                                                                                                                                                                                                                                   |
+| [groupArrayMovingAvg](/sql-reference/aggregate-functions/reference/grouparraymovingavg)                                     | Вычисляет скользящее среднее для входных значений.                                                                                                                                                                                                                                                                                                 |
+| [groupArrayMovingSum](/sql-reference/aggregate-functions/reference/grouparraymovingsum)                                     | Вычисляет скользящую сумму входных значений.                                                                                                                                                                                                                                                                                                       |
+| [groupArraySample](/sql-reference/aggregate-functions/reference/grouparraysample)                                           | Создает массив примеров значений аргумента. Размер результирующего массива ограничен `max_size` элементами. Значения аргумента выбираются и добавляются в массив случайным образом.                                                                                                                                                                |
+| [groupArraySorted](/sql-reference/aggregate-functions/reference/grouparraysorted)                                           | Возвращает массив из первых N элементов, упорядоченных по возрастанию.                                                                                                                                                                                                                                                                             |
+| [timeSeriesGroupArray](/sql-reference/aggregate-functions/reference/timeSeriesGroupArray)                                   | Сортирует временные ряды по метке времени в порядке возрастания.                                                                                                                                                                                                                                                                                   |
+| [groupBitAnd](/sql-reference/aggregate-functions/reference/groupbitand)                                                     | Применяет операцию побитового `AND` к последовательности чисел.                                                                                                                                                                                                                                                                                    |
+| [groupBitmap](/sql-reference/aggregate-functions/reference/groupbitmap)                                                     | Выполняет bitmap- или агрегатные вычисления по беззнаковому целочисленному столбцу, возвращает мощность множества в виде значения типа UInt64, а при добавлении суффикса -State возвращает объект bitmap                                                                                                                                           |
+| [groupBitmapAnd](/sql-reference/aggregate-functions/reference/groupbitmapand)                                               | Выполняет побитовую операцию AND над bitmap-столбцом, возвращает кардинальность множества в виде значения типа UInt64; если добавить суффикс -State, то возвращает bitmap-объект.                                                                                                                                                                  |
+| [groupBitmapOr](/sql-reference/aggregate-functions/reference/groupbitmapor)                                                 | Вычисляет логическое ИЛИ по битмап-столбцу и возвращает кардинальность типа UInt64; при добавлении суффикса -State возвращает объект битмапа. Эквивалентна функции `groupBitmapMerge`.                                                                                                                                                             |
+| [groupBitmapXor](/sql-reference/aggregate-functions/reference/groupbitmapxor)                                               | Вычисляет XOR битового столбца и возвращает кардинальность (cardinality) типа UInt64; если используется с суффиксом -State, то возвращает объект битовой карты                                                                                                                                                                                     |
+| [groupBitOr](/sql-reference/aggregate-functions/reference/groupbitor)                                                       | Применяет побитовую операцию `OR` к последовательности чисел.                                                                                                                                                                                                                                                                                      |
+| [groupBitXor](/sql-reference/aggregate-functions/reference/groupbitxor)                                                     | Применяет побитовую операцию `XOR` к последовательности чисел.                                                                                                                                                                                                                                                                                     |
+| [groupUniqArray](/sql-reference/aggregate-functions/reference/groupuniqarray)                                               | Создаёт массив из значений переданных аргументов.                                                                                                                                                                                                                                                                                                  |
+| [intervalLengthSum](/sql-reference/aggregate-functions/reference/intervalLengthSum)                                         | Вычисляет общую длину объединения всех диапазонов (отрезков на числовой прямой).                                                                                                                                                                                                                                                                   |
+| [kolmogorovSmirnovTest](/sql-reference/aggregate-functions/reference/kolmogorovsmirnovtest)                                 | Применяет критерий Колмогорова–Смирнова к выборкам из двух распределений.                                                                                                                                                                                                                                                                          |
+| [kurtPop](/sql-reference/aggregate-functions/reference/kurtpop)                                                             | Вычисляет эксцесс для последовательности.                                                                                                                                                                                                                                                                                                          |
+| [kurtSamp](/sql-reference/aggregate-functions/reference/kurtsamp)                                                           | Вычисляет выборочный эксцесс для последовательности.                                                                                                                                                                                                                                                                                               |
+| [largestTriangleThreeBuckets](/sql-reference/aggregate-functions/reference/largestTriangleThreeBuckets)                     | Применяет алгоритм «Largest-Triangle-Three-Buckets» к входным данным.                                                                                                                                                                                                                                                                              |
+| [last&#95;value](/sql-reference/aggregate-functions/reference/last_value)                                                   | Выбирает последнее встретившееся значение, аналогично `anyLast`, но допускает значение NULL.                                                                                                                                                                                                                                                       |
+| [mannWhitneyUTest](/sql-reference/aggregate-functions/reference/mannwhitneyutest)                                           | Применяет ранговый критерий Манна — Уитни к выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                            |
+| [max](/sql-reference/aggregate-functions/reference/max)                                                                     | Агрегатная функция, вычисляющая максимум по группе значений.                                                                                                                                                                                                                                                                                       |
+| [maxIntersections](/sql-reference/aggregate-functions/reference/maxintersections)                                           | Агрегатная функция, вычисляющая максимальное количество одновременных пересечений в группе интервалов (при условии, что все интервалы пересекаются хотя бы один раз).                                                                                                                                                                              |
+| [maxIntersectionsPosition](/sql-reference/aggregate-functions/reference/maxintersectionsposition)                           | Агрегатная функция, вычисляющая позиции вхождений функции maxIntersections.                                                                                                                                                                                                                                                                        |
+| [maxMap](/sql-reference/aggregate-functions/reference/maxmap)                                                               | Вычисляет максимальное значение в массиве `value` по ключам, указанным в массиве `key`.                                                                                                                                                                                                                                                            |
+| [meanZTest](/sql-reference/aggregate-functions/reference/meanztest)                                                         | Применяет z‑критерий для сравнения средних по выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                          |
+| [median](/sql-reference/aggregate-functions/reference/median)                                                               | Функции `median*` являются псевдонимами соответствующих функций `quantile*`. Они вычисляют медиану выборки числовых данных.                                                                                                                                                                                                                        |
+| [min](/sql-reference/aggregate-functions/reference/min)                                                                     | Агрегатная функция, вычисляющая минимальное значение по группе значений.                                                                                                                                                                                                                                                                           |
+| [minMap](/sql-reference/aggregate-functions/reference/minmap)                                                               | Вычисляет минимальное значение из массива `value` по ключам, указанным в массиве `key`.                                                                                                                                                                                                                                                            |
+| [quantile](/sql-reference/aggregate-functions/reference/quantile)                                                           | Вычисляет приближённый квантиль последовательности числовых данных.                                                                                                                                                                                                                                                                                |
+| [quantileBFloat16](/sql-reference/aggregate-functions/reference/quantilebfloat16)                                           | Вычисляет приближённый квантиль выборки, состоящей из чисел типа bfloat16.                                                                                                                                                                                                                                                                         |
+| [quantileDD](/sql-reference/aggregate-functions/reference/quantileddsketch)                                                 | Вычисляет приближённый квантиль выборки с гарантированной относительной погрешностью.                                                                                                                                                                                                                                                              |
+| [quantileDeterministic](/sql-reference/aggregate-functions/reference/quantiledeterministic)                                 | Вычисляет приближённое значение квантили для числовой последовательности данных.                                                                                                                                                                                                                                                                   |
+| [Функции quantileExact](/sql-reference/aggregate-functions/reference/quantileexact)                                         | функции quantileExact, quantileExactLow, quantileExactHigh, quantileExactExclusive, quantileExactInclusive                                                                                                                                                                                                                                         |
+| [quantileExactWeighted](/sql-reference/aggregate-functions/reference/quantileexactweighted)                                 | Точно вычисляет квантиль последовательности числовых данных с учетом веса каждого значения.                                                                                                                                                                                                                                                        |
+| [quantileGK](/sql-reference/aggregate-functions/reference/quantileGK)                                                       | Вычисляет квантиль числовой последовательности данных с использованием алгоритма Гринвальда — Ханны (Greenwald-Khanna).                                                                                                                                                                                                                            |
+| [quantileExactWeightedInterpolated](/sql-reference/aggregate-functions/reference/quantileExactWeightedInterpolated)         | Вычисляет квантиль последовательности числовых данных с использованием линейной интерполяции с учётом веса каждого элемента.                                                                                                                                                                                                                       |
+| [quantileInterpolatedWeighted](/sql-reference/aggregate-functions/reference/quantileInterpolatedWeighted)                   | Вычисляет квантиль последовательности числовых данных с использованием линейной интерполяции с учётом веса каждого элемента.                                                                                                                                                                                                                       |
+| [Функции quantiles](/sql-reference/aggregate-functions/reference/quantiles)                                                 | quantiles, quantilesExactExclusive, quantilesExactInclusive, quantilesGK                                                                                                                                                                                                                                                                           |
+| [quantileTDigest](/sql-reference/aggregate-functions/reference/quantiletdigest)                                             | Вычисляет приближённый квантиль последовательности числовых данных с помощью алгоритма t-digest.                                                                                                                                                                                                                                                   |
+| [quantileTDigestWeighted](/sql-reference/aggregate-functions/reference/quantiletdigestweighted)                             | Вычисляет приближённый квантиль по числовой последовательности данных на основе алгоритма t-digest.                                                                                                                                                                                                                                                |
+| [quantileTiming](/sql-reference/aggregate-functions/reference/quantiletiming)                                               | Вычисляет квантиль числовой последовательности данных с заданной точностью.                                                                                                                                                                                                                                                                        |
+| [quantileTimingWeighted](/sql-reference/aggregate-functions/reference/quantiletimingweighted)                               | С заданной точностью вычисляет квантиль числовой последовательности с учётом веса каждого её элемента.                                                                                                                                                                                                                                             |
+| [rankCorr](/sql-reference/aggregate-functions/reference/rankCorr)                                                           | Вычисляет коэффициент ранговой корреляции.                                                                                                                                                                                                                                                                                                         |
+| [simpleLinearRegression](/sql-reference/aggregate-functions/reference/simplelinearregression)                               | Выполняет простую (одномерную) линейную регрессию.                                                                                                                                                                                                                                                                                                 |
+| [singleValueOrNull](/sql-reference/aggregate-functions/reference/singlevalueornull)                                         | Агрегатная функция `singleValueOrNull` используется для реализации операторов с подзапросами, таких как `x = ALL (SELECT ...)`. Она проверяет, есть ли в данных ровно одно уникальное значение, отличное от NULL.                                                                                                                                  |
+| [skewPop](/sql-reference/aggregate-functions/reference/skewpop)                                                             | Вычисляет коэффициент асимметрии последовательности.                                                                                                                                                                                                                                                                                               |
+| [skewSamp](/sql-reference/aggregate-functions/reference/skewsamp)                                                           | Вычисляет выборочный коэффициент асимметрии последовательности.                                                                                                                                                                                                                                                                                    |
+| [sparkbar](/sql-reference/aggregate-functions/reference/sparkbar)                                                           | Функция строит гистограмму частот для значений `x` и их частоты повторения `y` на интервале `[min_x, max_x]`.                                                                                                                                                                                                                                      |
+| [stddevPop](/sql-reference/aggregate-functions/reference/stddevpop)                                                         | Результат равен квадратному корню из varPop.                                                                                                                                                                                                                                                                                                       |
+| [stddevPopStable](/sql-reference/aggregate-functions/reference/stddevpopstable)                                             | Результат равен квадратному корню из varPop. В отличие от stddevPop, эта функция использует численно стабильный алгоритм.                                                                                                                                                                                                                          |
+| [stddevSamp](/sql-reference/aggregate-functions/reference/stddevsamp)                                                       | Результат равен квадратному корню результата функции varSamp                                                                                                                                                                                                                                                                                       |
+| [stddevSampStable](/sql-reference/aggregate-functions/reference/stddevsampstable)                                           | Результат равен квадратному корню из результата varSamp. В отличие от функции varSamp, эта функция использует численно устойчивый алгоритм.                                                                                                                                                                                                        |
+| [stochasticLinearRegression](/sql-reference/aggregate-functions/reference/stochasticlinearregression)                       | Эта функция реализует стохастическую линейную регрессию. Она поддерживает пользовательские параметры для скорости обучения, коэффициента L2-регуляризации, размера мини-батча и несколько методов обновления весов (Adam, простой SGD, Momentum, Nesterov).                                                                                        |
+| [stochasticLogisticRegression](/sql-reference/aggregate-functions/reference/stochasticlogisticregression)                   | Эта функция реализует стохастическую логистическую регрессию. Она может использоваться для решения задачи бинарной классификации, поддерживает те же настраиваемые параметры, что и stochasticLinearRegression, и работает аналогичным образом.                                                                                                    |
+| [studentTTest](/sql-reference/aggregate-functions/reference/studentttest)                                                   | Применяет t-критерий Стьюдента к выборкам из двух генеральных совокупностей.                                                                                                                                                                                                                                                                       |
+| [studentTTestOneSample](/sql-reference/aggregate-functions/reference/studentttestonesample)                                 | Применяет одновыборочный t-критерий Стьюдента к выборке и известному среднему значению генеральной совокупности.                                                                                                                                                                                                                                   |
+| [sum](/sql-reference/aggregate-functions/reference/sum)                                                                     | Вычисляет сумму. Применимо только к числам.                                                                                                                                                                                                                                                                                                        |
+| [sumCount](/sql-reference/aggregate-functions/reference/sumcount)                                                           | Вычисляет сумму чисел и одновременно считает количество строк. Функция используется оптимизатором запросов ClickHouse: если в запросе присутствует несколько функций `sum`, `count` или `avg`, их можно заменить одной функцией `sumCount`, чтобы повторно использовать результаты вычислений. Функцию редко требуется вызывать напрямую.          |
+| [sumKahan](/sql-reference/aggregate-functions/reference/sumkahan)                                                           | Вычисляет сумму чисел с использованием алгоритма компенсированного суммирования Кэхэна                                                                                                                                                                                                                                                             |
+| [sumMap](/sql-reference/aggregate-functions/reference/summap)                                                               | Суммирует один или несколько массивов `value` в соответствии с ключами из массива `key`. Возвращает кортеж массивов: ключи в отсортированном порядке, далее значения, просуммированные для соответствующих ключей без переполнения.                                                                                                                |
+| [sumMapWithOverflow](/sql-reference/aggregate-functions/reference/summapwithoverflow)                                       | Подсчитывает сумму элементов массива `value` с учётом ключей, указанных в массиве `key`. Возвращает кортеж из двух массивов: ключи в отсортированном порядке и значения, просуммированные для соответствующих ключей. Отличается от функции sumMap тем, что выполняет суммирование с переполнением.                                                |
+| [sumWithOverflow](/sql-reference/aggregate-functions/reference/sumwithoverflow)                                             | Вычисляет сумму чисел, используя для результата тот же тип данных, что и для входных параметров. Если сумма превышает максимальное значение для этого типа данных, она вычисляется с переполнением.                                                                                                                                                |
+| [theilsU](/sql-reference/aggregate-functions/reference/theilsu)                                                             | Функция `theilsU` вычисляет коэффициент неопределённости U Тейла — показатель, характеризующий взаимосвязь между двумя столбцами в таблице.                                                                                                                                                                                                        |
+| [topK](/sql-reference/aggregate-functions/reference/topk)                                                                   | Возвращает массив приблизительно наиболее часто встречающихся значений в указанном столбце. Полученный массив упорядочен по убыванию их приблизительной частоты (а не по самим значениям).                                                                                                                                                         |
+| [topKWeighted](/sql-reference/aggregate-functions/reference/topkweighted)                                                   | Возвращает массив примерно наиболее часто встречающихся значений в указанном столбце. Полученный массив отсортирован по убыванию примерной частоты значений (а не по самим значениям). При этом учитывается вес значения.                                                                                                                          |
+| [uniq](/sql-reference/aggregate-functions/reference/uniq)                                                                   | Вычисляет примерное количество уникальных значений аргумента.                                                                                                                                                                                                                                                                                      |
+| [uniqCombined](/sql-reference/aggregate-functions/reference/uniqcombined)                                                   | Вычисляет приблизительное число различных значений аргумента.                                                                                                                                                                                                                                                                                      |
+| [uniqCombined64](/sql-reference/aggregate-functions/reference/uniqcombined64)                                               | Вычисляет приблизительное количество различных значений аргумента. Аналогична uniqCombined, но использует 64-битный хэш для всех типов данных, а не только для String.                                                                                                                                                                             |
+| [uniqExact](/sql-reference/aggregate-functions/reference/uniqexact)                                                         | Вычисляет точное количество различных значений аргумента.                                                                                                                                                                                                                                                                                          |
+| [uniqHLL12](/sql-reference/aggregate-functions/reference/uniqhll12)                                                         | Вычисляет приблизительное количество различных значений аргумента с использованием алгоритма HyperLogLog.                                                                                                                                                                                                                                          |
+| [uniqTheta](/sql-reference/aggregate-functions/reference/uniqthetasketch)                                                   | Вычисляет приблизительное количество различных значений аргумента с использованием фреймворка Theta Sketch.                                                                                                                                                                                                                                        |
+| [varPop](/sql-reference/aggregate-functions/reference/varPop)                                                               | Вычисляет генеральную дисперсию.                                                                                                                                                                                                                                                                                                                   |
+| [varPopStable](/sql-reference/aggregate-functions/reference/varpopstable)                                                   | Возвращает генеральную дисперсию. В отличие от varPop, эта функция использует численно устойчивый алгоритм. Она работает медленнее, но даёт меньшую вычислительную погрешность.                                                                                                                                                                    |
+| [varSamp](/sql-reference/aggregate-functions/reference/varSamp)                                                             | Вычисляет выборочную дисперсию набора данных.                                                                                                                                                                                                                                                                                                      |
+| [varSampStable](/sql-reference/aggregate-functions/reference/varsampstable)                                                 | Вычисляет выборочную дисперсию набора данных. В отличие от `varSamp`, эта функция использует численно устойчивый алгоритм. Работает медленнее, но обеспечивает меньшую вычислительную погрешность.                                                                                                                                                 |
+| [welchTTest](/sql-reference/aggregate-functions/reference/welchttest)                                                       | Применяет t‑критерий Уэлча к выборкам из двух совокупностей.                                                                                                                                                                                                                                                                                       |
+| [distinctDynamicTypes](/sql-reference/aggregate-functions/reference/distinctdynamictypes)                                   | Вычисляет список уникальных типов данных, хранящихся в столбце Dynamic.                                                                                                                                                                                                                                                                            |
+| [distinctJSONPaths](/sql-reference/aggregate-functions/reference/distinctjsonpaths)                                         | Вычисляет список уникальных путей, хранящихся в JSON-столбце.                                                                                                                                                                                                                                                                                      |
+| [timeSeriesDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDeltaToGrid)                                 | Агрегатная функция, вычисляющая дельту в стиле PromQL для данных временных рядов на заданной сетке.                                                                                                                                                                                                                                                |
+| [timeSeriesInstantDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantDeltaToGrid)                   | Агрегатная функция, вычисляющая PromQL-подобный idelta для данных временных рядов на заданной сетке.                                                                                                                                                                                                                                               |
+| [timeSeriesInstantRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantRateToGrid)                     | Агрегатная функция, вычисляющая PromQL‑подобный irate для данных временных рядов на заданной временной сетке.                                                                                                                                                                                                                                      |
+| [timeSeriesLastTwoSamples](/sql-reference/aggregate-functions/reference/timeSeriesLastTwoSamples)                           | Агрегатная функция для ресемплирования временных рядов при вычислении функций irate и idelta по аналогии с PromQL                                                                                                                                                                                                                                  |
+| [timeSeriesRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesRateToGrid)                                   | Агрегирующая функция, вычисляющая PromQL-подобный rate по данным временных рядов на заданной временной сетке.                                                                                                                                                                                                                                      |
+| [timeSeriesResampleToGridWithStaleness](/sql-reference/aggregate-functions/reference/timeSeriesResampleToGridWithStaleness) | Агрегатная функция для ресемплирования данных временных рядов по заданной временной сетке.                                                                                                                                                                                                                                                         |
+| [timeSeriesDerivToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDerivToGrid)                                 | Агрегатная функция, вычисляющая производную, аналогичную PromQL, по данным временных рядов на заданной сетке.                                                                                                                                                                                                                                      |
+| [timeSeriesPredictLinearToGrid](/sql-reference/aggregate-functions/reference/timeSeriesPredictLinearToGrid)                 | Агрегатная функция, вычисляющая линейный прогноз по данным временных рядов в стиле PromQL на заданной сетке.                                                                                                                                                                                                                                       |
+| [timeSeriesChangesToGrid](/sql-reference/aggregate-functions/reference/timeSeriesChangesToGrid)                             | Агрегатная функция, вычисляющая изменения в данных временных рядов в стиле PromQL на заданной временной сетке.                                                                                                                                                                                                                                     |
+| [timeSeriesResetsToGrid](/sql-reference/aggregate-functions/reference/timeSeriesResetsToGrid)                               | Агрегатная функция, вычисляющая сбросы в стиле PromQL по данным временных рядов на заданной сетке.                                                                                                                                                                                                                                                 |
+| [groupConcat](/sql-reference/aggregate-functions/reference/groupconcat)                                                     | Вычисляет строку, полученную конкатенацией группы строк, с необязательным разделителем и необязательным ограничением на максимальное число элементов.                                                                                                                                                                                              |
+| [quantilePrometheusHistogram](/sql-reference/aggregate-functions/reference/quantilePrometheusHistogram)                     | Вычисляет квантиль по гистограмме с помощью линейной интерполяции.                                                                                                                                                                                                                                                                                 |
 
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diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md b/i18n/zh/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
index 1f6f7cc1b1a..728ba4f7ad9 100644
--- a/i18n/zh/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
+++ b/i18n/zh/docusaurus-plugin-content-docs/current/sql-reference/aggregate-functions/reference/index.md
@@ -21,141 +21,141 @@ ClickHouse 支持所有标准 SQL 聚合函数（[sum](../reference/sum.md)、[a
 
 {/*AUTOGENERATED_START*/ }
 
-| 页面                                                                                                                          | 说明                                                                                                                          |
-| --------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------- |
-| [aggThrow](/sql-reference/aggregate-functions/reference/aggthrow)                                                           | 此函数可用于测试异常安全性。它会在创建时以指定的概率抛出异常。                                                                                             |
-| [analysisOfVariance](/sql-reference/aggregate-functions/reference/analysis_of_variance)                                     | 提供用于单因素方差分析（ANOVA）的统计检验。该检验针对多个服从正态分布的观测组，用于判断各组的均值是否相同。                                                                    |
-| [any](/sql-reference/aggregate-functions/reference/any)                                                                     | 选取某列中首次出现的值。                                                                                                                |
-| [anyHeavy](/sql-reference/aggregate-functions/reference/anyheavy)                                                           | 使用 heavy hitters 算法选取一个频繁出现的值。如果在每个查询执行线程中，都存在一个值，其出现次数超过该线程处理中案例的一半，则返回该值。通常，该结果是非确定性的。                                    |
-| [anyLast](/sql-reference/aggregate-functions/reference/anylast)                                                             | 选择某列中最后出现的值。                                                                                                                |
-| [approx&#95;top&#95;k](/sql-reference/aggregate-functions/reference/approxtopk)                                             | 返回一个数组，包含指定列中近似出现频率最高的值及其出现次数。                                                                                              |
-| [approx&#95;top&#95;sum](/sql-reference/aggregate-functions/reference/approxtopsum)                                         | 返回一个数组，其中包含指定列中近似出现频率最高的值及其计数。                                                                                              |
-| [argMax](/sql-reference/aggregate-functions/reference/argmax)                                                               | 计算使 `val` 取得最大值时的 `arg`。                                                                                                    |
-| [argMin](/sql-reference/aggregate-functions/reference/argmin)                                                               | 计算最小 `val` 值对应的 `arg` 值。若存在多行具有相同的 `val` 且为最小值时，将返回哪一个关联的 `arg` 是不确定的。                                                      |
-| [argAndMax](/sql-reference/aggregate-functions/reference/argandmax)                                                         | 计算最大 `val` 值对应的 `arg` 和 `val`。如果存在多行的 `val` 相同且为最大值，则返回的对应 `arg` 和 `val` 是不确定的。                                             |
-| [argAndMin](/sql-reference/aggregate-functions/reference/argandmin)                                                         | 计算最小 `val` 值对应的 `arg` 和 `val`。如果有多行的 `val` 相同且都是最小值，则返回哪一行对应的 `arg` 和 `val` 是不确定的。                                          |
-| [groupArrayArray](/sql-reference/aggregate-functions/reference/grouparrayarray)                                             | 将多个数组聚合成一个包含这些数组的更大数组。                                                                                                      |
-| [avg](/sql-reference/aggregate-functions/reference/avg)                                                                     | 计算算术平均数。                                                                                                                    |
-| [avgWeighted](/sql-reference/aggregate-functions/reference/avgweighted)                                                     | 计算加权算术平均数。                                                                                                                  |
-| [boundingRatio](/sql-reference/aggregate-functions/reference/boundingRatio)                                                 | 用于计算一组数据中最左端点和最右端点之间斜率的聚合函数。                                                                                                |
-| [categoricalInformationValue](/sql-reference/aggregate-functions/reference/categoricalinformationvalue)                     | 对于每个类别，计算 `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` 的值。                                                |
-| [contingency](/sql-reference/aggregate-functions/reference/contingency)                                                     | `contingency` 函数计算列联系数（contingency coefficient），即用于度量表中两列之间关联程度的数值。其计算方式类似于 `cramersV` 函数，但在平方根中的分母不同。                      |
-| [corr](/sql-reference/aggregate-functions/reference/corr)                                                                   | 计算皮尔逊相关系数。                                                                                                                  |
-| [corrMatrix](/sql-reference/aggregate-functions/reference/corrmatrix)                                                       | 计算 N 个变量的相关系数矩阵。                                                                                                            |
-| [corrStable](/sql-reference/aggregate-functions/reference/corrstable)                                                       | 计算 Pearson 相关系数，但采用数值稳定的算法。                                                                                                 |
-| [count](/sql-reference/aggregate-functions/reference/count)                                                                 | 统计行数或非 NULL 值的数量。                                                                                                           |
-| [covarPop](/sql-reference/aggregate-functions/reference/covarpop)                                                           | 计算总体协方差                                                                                                                     |
-| [covarPopMatrix](/sql-reference/aggregate-functions/reference/covarpopmatrix)                                               | 返回 N 个变量的总体协方差矩阵。                                                                                                           |
-| [covarPopStable](/sql-reference/aggregate-functions/reference/covarpopstable)                                               | 计算总体协方差值                                                                                                                    |
-| [covarSamp](/sql-reference/aggregate-functions/reference/covarsamp)                                                         | 计算 `Σ((x - x̅)(y - y̅)) / (n - 1)` 的值                                                                                       |
-| [covarSampMatrix](/sql-reference/aggregate-functions/reference/covarsampmatrix)                                             | 返回 N 个变量的样本协方差矩阵。                                                                                                           |
-| [covarSampStable](/sql-reference/aggregate-functions/reference/covarsampstable)                                             | 类似于 covarSamp，但速度更慢，计算误差更小。                                                                                                 |
-| [cramersV](/sql-reference/aggregate-functions/reference/cramersv)                                                           | `cramersV` 函数的结果范围从 0（表示变量之间没有关联）到 1，且只有在每个取值都由另一个变量完全决定时才会达到 1。它可以看作是两个变量之间关联程度占其最大可能变异程度的百分比。                             |
-| [cramersVBiasCorrected](/sql-reference/aggregate-functions/reference/cramersvbiascorrected)                                 | 计算 Cramer&#39;s V，但进行了偏差校正。                                                                                                 |
-| [deltaSum](/sql-reference/aggregate-functions/reference/deltasum)                                                           | 对相邻行之间的算术差进行求和。                                                                                                             |
-| [deltaSumTimestamp](/sql-reference/aggregate-functions/reference/deltasumtimestamp)                                         | 计算并累加相邻两行之间的差值。如果差值为负，则会被忽略。                                                                                                |
-| [entropy](/sql-reference/aggregate-functions/reference/entropy)                                                             | 计算一列值的香农熵。                                                                                                                  |
-| [estimateCompressionRatio](/sql-reference/aggregate-functions/reference/estimateCompressionRatio)                           | 在不实际压缩的情况下估算指定列的压缩比。                                                                                                        |
-| [exponentialMovingAverage](/sql-reference/aggregate-functions/reference/exponentialMovingAverage)                           | 计算在指定时间范围内数值的指数移动平均值。                                                                                                       |
-| [exponentialTimeDecayedAvg](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedAvg)                         | 返回时间点 `t` 时该时间序列的指数平滑加权移动平均值。                                                                                               |
-| [exponentialTimeDecayedCount](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedCount)                     | 返回在时间索引 `t` 处的时间序列的累积指数衰减。                                                                                                  |
-| [exponentialTimeDecayedMax](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedMax)                         | 返回在时间索引 `t` 和 `t-1` 处计算得到的指数平滑移动平均值中的最大值。                                                                                   |
-| [exponentialTimeDecayedSum](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedSum)                         | 返回时间序列在时间索引 `t` 处的指数平滑移动平均值之和。                                                                                              |
-| [first&#95;value](/sql-reference/aggregate-functions/reference/first_value)                                                 | 它是 `any` 的别名，为了与窗口函数兼容而引入，因为在某些情况下需要处理 `NULL` 值（默认情况下，所有 ClickHouse 聚合函数都会忽略 `NULL` 值）。                                     |
-| [flameGraph](/sql-reference/aggregate-functions/reference/flame_graph)                                                      | 基于堆栈跟踪列表构建火焰图的聚合函数。                                                                                                         |
-| [groupArray](/sql-reference/aggregate-functions/reference/grouparray)                                                       | 创建一个由参数值组成的数组。可以以任意顺序（顺序不确定）将值添加到该数组中。                                                                                      |
-| [groupArrayInsertAt](/sql-reference/aggregate-functions/reference/grouparrayinsertat)                                       | 在数组的指定位置插入一个值。                                                                                                              |
-| [groupArrayIntersect](/sql-reference/aggregate-functions/reference/grouparrayintersect)                                     | 返回所有给定数组的交集（即所有在每个数组中都存在的元素）。                                                                                               |
-| [groupArrayLast](/sql-reference/aggregate-functions/reference/grouparraylast)                                               | 创建一个由其最后一个参数的值组成的数组。                                                                                                        |
-| [groupArrayMovingAvg](/sql-reference/aggregate-functions/reference/grouparraymovingavg)                                     | 计算输入值的移动平均。                                                                                                                 |
-| [groupArrayMovingSum](/sql-reference/aggregate-functions/reference/grouparraymovingsum)                                     | 计算输入值的移动求和。                                                                                                                 |
-| [groupArraySample](/sql-reference/aggregate-functions/reference/grouparraysample)                                           | 创建一个由样本参数值组成的数组。结果数组的大小最多为 `max_size` 个元素。参数值会被随机选取并添加到该数组中。                                                                |
-| [timeSeriesGroupArray](/sql-reference/aggregate-functions/reference/timeSeriesGroupArray)                                   | 按时间戳升序排序时间序列。                                                                                                               |
-| [groupArraySorted](/sql-reference/aggregate-functions/reference/grouparraysorted)                                           | 返回一个包含按升序排列的前 N 个元素的数组。                                                                                                     |
-| [groupBitAnd](/sql-reference/aggregate-functions/reference/groupbitand)                                                     | 对一系列数值执行按位 `AND` 运算。                                                                                                        |
-| [groupBitmap](/sql-reference/aggregate-functions/reference/groupbitmap)                                                     | 对无符号整数列执行 Bitmap 或聚合计算时，返回 UInt64 类型的基数；如果添加后缀 -State，则返回一个 bitmap 对象。                                                      |
-| [groupBitmapAnd](/sql-reference/aggregate-functions/reference/groupbitmapand)                                               | 计算 bitmap 列的 AND，返回 UInt64 类型的基数；若添加后缀 -State，则返回 bitmap 对象。                                                                |
-| [groupBitmapOr](/sql-reference/aggregate-functions/reference/groupbitmapor)                                                 | 对位图列执行 OR 运算，返回 UInt64 类型的基数；如果添加后缀 -State，则返回位图对象。等同于 `groupBitmapMerge`。                                                  |
-| [groupBitmapXor](/sql-reference/aggregate-functions/reference/groupbitmapxor)                                               | 计算位图列的按位异或，并返回 UInt64 类型的基数；如果使用后缀 -State，则返回一个位图对象                                                                         |
-| [groupBitOr](/sql-reference/aggregate-functions/reference/groupbitor)                                                       | 对一系列数值执行按位 `OR` 运算。                                                                                                         |
-| [groupBitXor](/sql-reference/aggregate-functions/reference/groupbitxor)                                                     | 对一系列数值执行按位 `XOR` 运算。                                                                                                        |
-| [groupUniqArray](/sql-reference/aggregate-functions/reference/groupuniqarray)                                               | 从不同的参数创建一个数组。                                                                                                               |
-| [intervalLengthSum](/sql-reference/aggregate-functions/reference/intervalLengthSum)                                         | 计算所有区间（数轴上的线段）的并集的总长度。                                                                                                      |
-| [kolmogorovSmirnovTest](/sql-reference/aggregate-functions/reference/kolmogorovsmirnovtest)                                 | 对来自两个总体的样本进行 Kolmogorov-Smirnov 检验。                                                                                         |
-| [kurtPop](/sql-reference/aggregate-functions/reference/kurtpop)                                                             | 计算序列的峰度。                                                                                                                    |
-| [kurtSamp](/sql-reference/aggregate-functions/reference/kurtsamp)                                                           | 计算序列的样本峰度。                                                                                                                  |
-| [largestTriangleThreeBuckets](/sql-reference/aggregate-functions/reference/largestTriangleThreeBuckets)                     | 对输入数据应用 Largest-Triangle-Three-Buckets 算法。                                                                                  |
-| [last&#95;value](/sql-reference/aggregate-functions/reference/last_value)                                                   | 选择最近遇到的值，类似于 `anyLast`，但允许返回 NULL。                                                                                          |
-| [mannWhitneyUTest](/sql-reference/aggregate-functions/reference/mannwhitneyutest)                                           | 对来自两个总体的样本执行 Mann-Whitney 秩检验。                                                                                              |
-| [max](/sql-reference/aggregate-functions/reference/max)                                                                     | 用于计算一组值中最大值的聚合函数。                                                                                                           |
-| [maxIntersections](/sql-reference/aggregate-functions/reference/maxintersections)                                           | 用于计算一组区间之间最大相交次数的聚合函数（当所有区间彼此至少相交一次时）。                                                                                      |
-| [maxIntersectionsPosition](/sql-reference/aggregate-functions/reference/maxintersectionsposition)                           | 用于计算 `maxIntersections` 函数结果出现位置的聚合函数。                                                                                      |
-| [maxMap](/sql-reference/aggregate-functions/reference/maxmap)                                                               | 根据 `key` 数组中指定的键，在 `value` 数组中求最大值。                                                                                         |
-| [meanZTest](/sql-reference/aggregate-functions/reference/meanztest)                                                         | 对来自两个总体的样本进行均值 Z 检验。                                                                                                        |
-| [median](/sql-reference/aggregate-functions/reference/median)                                                               | `median*` 函数是对应 `quantile*` 函数的别名。它们用于计算数值型数据样本的中位数。                                                                        |
-| [min](/sql-reference/aggregate-functions/reference/min)                                                                     | 用于计算一组值中最小值的聚合函数。                                                                                                           |
-| [minMap](/sql-reference/aggregate-functions/reference/minmap)                                                               | 根据 `key` 数组中指定的键，求 `value` 数组中的最小值。                                                                                         |
-| [quantile](/sql-reference/aggregate-functions/reference/quantile)                                                           | 计算数值序列的近似分位数。                                                                                                               |
-| [quantileBFloat16](/sql-reference/aggregate-functions/reference/quantilebfloat16)                                           | 计算由 bfloat16 数值构成的样本的近似分位数。                                                                                                 |
-| [quantileDD](/sql-reference/aggregate-functions/reference/quantileddsketch)                                                 | 计算样本的近似分位数，并提供相对误差保证。                                                                                                       |
-| [quantileDeterministic](/sql-reference/aggregate-functions/reference/quantiledeterministic)                                 | 计算数值序列的近似分位数。                                                                                                               |
-| [quantileExact 函数](/sql-reference/aggregate-functions/reference/quantileexact)                                              | quantileExact、quantileExactLow、quantileExactHigh、quantileExactExclusive、quantileExactInclusive 函数                           |
-| [quantileExactWeighted](/sql-reference/aggregate-functions/reference/quantileexactweighted)                                 | 精确计算数值序列的分位数，并考虑每个元素的权重。                                                                                                    |
-| [quantileGK](/sql-reference/aggregate-functions/reference/quantileGK)                                                       | 使用 Greenwald-Khanna 算法计算数值序列的分位数。                                                                                           |
-| [quantileExactWeightedInterpolated](/sql-reference/aggregate-functions/reference/quantileExactWeightedInterpolated)         | 使用线性插值计算数值数据序列的分位数，并考虑各元素的权重。                                                                                               |
-| [quantileInterpolatedWeighted](/sql-reference/aggregate-functions/reference/quantileInterpolatedWeighted)                   | 使用线性插值计算数值数据序列的分位数，并将每个元素的权重考虑在内。                                                                                           |
-| [quantiles 函数](/sql-reference/aggregate-functions/reference/quantiles)                                                      | quantiles, quantilesExactExclusive, quantilesExactInclusive, quantilesGK                                                    |
-| [quantileTDigest](/sql-reference/aggregate-functions/reference/quantiletdigest)                                             | 使用 t-digest 算法计算数值数据序列的近似分位数。                                                                                               |
-| [quantileTDigestWeighted](/sql-reference/aggregate-functions/reference/quantiletdigestweighted)                             | 使用 t-digest 算法计算数值数据序列的近似分位数。                                                                                               |
-| [quantileTiming](/sql-reference/aggregate-functions/reference/quantiletiming)                                               | 以给定精度计算数值数据序列的分位数。                                                                                                          |
-| [quantileTimingWeighted](/sql-reference/aggregate-functions/reference/quantiletimingweighted)                               | 在确定的精度下，按照每个序列成员的权重计算数值数据序列的分位数。                                                                                            |
-| [rankCorr](/sql-reference/aggregate-functions/reference/rankCorr)                                                           | 计算秩相关系数。                                                                                                                    |
-| [simpleLinearRegression](/sql-reference/aggregate-functions/reference/simplelinearregression)                               | 执行简单（一元）线性回归。                                                                                                               |
-| [singleValueOrNull](/sql-reference/aggregate-functions/reference/singlevalueornull)                                         | 聚合函数 `singleValueOrNull` 用于实现诸如 `x = ALL (SELECT ...)` 之类的子查询运算符。它会检查数据中是否恰好只有一个唯一的非 NULL 值。                                |
-| [skewPop](/sql-reference/aggregate-functions/reference/skewpop)                                                             | 计算序列的偏度。                                                                                                                    |
-| [skewSamp](/sql-reference/aggregate-functions/reference/skewsamp)                                                           | 计算序列的样本偏斜度。                                                                                                                 |
-| [sparkbar](/sql-reference/aggregate-functions/reference/sparkbar)                                                           | 该函数在区间 `[min_x, max_x]` 上，根据取值 `x` 及其对应的出现频率 `y` 绘制频率直方图。                                                                   |
-| [stddevPop](/sql-reference/aggregate-functions/reference/stddevpop)                                                         | 结果等于 varPop 的平方根。                                                                                                           |
-| [stddevPopStable](/sql-reference/aggregate-functions/reference/stddevpopstable)                                             | 结果等于 varPop 的平方根。与 stddevPop 不同，此函数使用在数值上更稳定的算法。                                                                            |
-| [stddevSamp](/sql-reference/aggregate-functions/reference/stddevsamp)                                                       | 结果等于 varSamp 的平方根。                                                                                                          |
-| [stddevSampStable](/sql-reference/aggregate-functions/reference/stddevsampstable)                                           | 结果等于 varSamp 的平方根。不同的是，该函数采用数值稳定的算法。                                                                                        |
-| [stochasticLinearRegression](/sql-reference/aggregate-functions/reference/stochasticlinearregression)                       | 该函数实现随机线性回归算法。它支持学习率、L2 正则化系数、小批量大小等可自定义参数，并提供几种权重更新方法（Adam、简单 SGD、Momentum、Nesterov）。                                      |
-| [stochasticLogisticRegression](/sql-reference/aggregate-functions/reference/stochasticlogisticregression)                   | 此函数实现了随机逻辑回归。可用于二元分类任务，支持与 stochasticLinearRegression 相同的自定义参数，且工作方式相同。                                                     |
-| [studentTTest](/sql-reference/aggregate-functions/reference/studentttest)                                                   | 对来自两个总体的样本执行 Student t 检验。                                                                                                  |
-| [studentTTestOneSample](/sql-reference/aggregate-functions/reference/studentttestonesample)                                 | 对样本与已知总体均值执行单样本 Student t 检验。                                                                                               |
-| [sum](/sql-reference/aggregate-functions/reference/sum)                                                                     | 计算总和。只对数值类型有效。                                                                                                              |
-| [sumCount](/sql-reference/aggregate-functions/reference/sumcount)                                                           | 计算数值的总和，并同时统计行数。ClickHouse 查询优化器会使用该函数：如果在一个查询中存在多个 `sum`、`count` 或 `avg` 函数，它们可以被替换为单个 `sumCount` 函数，以复用计算结果。该函数通常不需要显式使用。 |
-| [sumKahan](/sql-reference/aggregate-functions/reference/sumkahan)                                                           | 使用 Kahan 补偿求和算法计算数值之和                                                                                                       |
-| [sumMap](/sql-reference/aggregate-functions/reference/summap)                                                               | 根据 `key` 数组中指定的键，对一个或多个 `value` 数组进行求和。返回一个数组元组：首先是按排序顺序排列的键数组，其次是对应键的求和值数组，且在求和过程中不会发生溢出。                                  |
-| [sumMapWithOverflow](/sql-reference/aggregate-functions/reference/summapwithoverflow)                                       | 根据 `key` 数组中指定的键对 `value` 数组中的值进行汇总。返回一个包含两个数组的元组：排好序的键数组，以及对应键的求和值数组。与 sumMap 函数的区别在于，该函数执行的是允许溢出的求和运算。                    |
-| [sumWithOverflow](/sql-reference/aggregate-functions/reference/sumwithoverflow)                                             | 使用与输入参数相同的数据类型来计算这些数值的和。如果结果超过该数据类型的最大值，则按溢出方式进行计算。                                                                         |
-| [theilsU](/sql-reference/aggregate-functions/reference/theilsu)                                                             | `theilsU` 函数用于计算 Theil 的 U 不确定性系数，这一数值用于衡量表中两列之间的关联程度。                                                                      |
-| [topK](/sql-reference/aggregate-functions/reference/topk)                                                                   | 返回一个数组，其中包含指定列中大致最常见的值。结果数组按照这些值的大致出现频率降序排列（而不是按值本身排序）。                                                                     |
-| [topKWeighted](/sql-reference/aggregate-functions/reference/topkweighted)                                                   | 返回一个数组，其中包含指定列中近似最常出现的值。结果数组按照值的近似出现频率降序排序（而不是按值本身排序）。此外，还会考虑值的权重。                                                          |
-| [uniq](/sql-reference/aggregate-functions/reference/uniq)                                                                   | 近似计算参数不同取值的数量。                                                                                                              |
-| [uniqCombined](/sql-reference/aggregate-functions/reference/uniqcombined)                                                   | 计算参数不同取值的大致个数。                                                                                                              |
-| [uniqCombined64](/sql-reference/aggregate-functions/reference/uniqcombined64)                                               | 近似计算不同参数值的数量。它与 uniqCombined 相同，但对所有数据类型都使用 64 位哈希，而不是仅对 String 数据类型使用。                                                     |
-| [uniqExact](/sql-reference/aggregate-functions/reference/uniqexact)                                                         | 精确计算不同参数值的数量。                                                                                                               |
-| [uniqHLL12](/sql-reference/aggregate-functions/reference/uniqhll12)                                                         | 使用 HyperLogLog 算法计算不同参数取值的近似数量。                                                                                             |
-| [uniqTheta](/sql-reference/aggregate-functions/reference/uniqthetasketch)                                                   | 使用 Theta Sketch Framework 近似计算不同参数取值的数量。                                                                                    |
-| [varPop](/sql-reference/aggregate-functions/reference/varPop)                                                               | 计算总体方差。                                                                                                                     |
-| [varPopStable](/sql-reference/aggregate-functions/reference/varpopstable)                                                   | 返回总体方差。与 `varPop` 不同，此函数使用数值稳定的算法。它运行较慢，但计算误差更小。                                                                            |
-| [varSamp](/sql-reference/aggregate-functions/reference/varSamp)                                                             | 计算一组数据的样本方差。                                                                                                                |
-| [varSampStable](/sql-reference/aggregate-functions/reference/varsampstable)                                                 | 计算数据集的样本方差。与 `varSamp` 不同，此函数使用数值稳定性更高的算法。其执行速度较慢，但计算误差更小。                                                                  |
-| [welchTTest](/sql-reference/aggregate-functions/reference/welchttest)                                                       | 对来自两个总体的样本执行 Welch t 检验。                                                                                                    |
-| [distinctDynamicTypes](/sql-reference/aggregate-functions/reference/distinctdynamictypes)                                   | 计算 Dynamic 列中存储的不同数据类型的列表。                                                                                                  |
-| [distinctJSONPaths](/sql-reference/aggregate-functions/reference/distinctjsonpaths)                                         | 计算 JSON 列中存储的唯一路径列表。                                                                                                        |
-| [timeSeriesDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDeltaToGrid)                                 | 一种聚合函数，用于在指定网格上对时间序列数据计算类似 PromQL 的 delta 值。                                                                                |
-| [timeSeriesInstantDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantDeltaToGrid)                   | 在指定网格上对时间序列数据计算类似 PromQL 中 idelta 的聚合函数。                                                                                    |
-| [timeSeriesInstantRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantRateToGrid)                     | 用于在指定网格上对时间序列数据计算类似 PromQL 中 irate 的聚合函数。                                                                                   |
-| [timeSeriesLastTwoSamples](/sql-reference/aggregate-functions/reference/timeSeriesLastTwoSamples)                           | 用于对时间序列数据进行重新采样，以计算 PromQL 风格的 irate 和 idelta 的聚合函数                                                                         |
-| [timeSeriesRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesRateToGrid)                                   | 一种在指定网格上对时间序列数据计算类似 PromQL 中 rate 的聚合函数。                                                                                    |
-| [timeSeriesResampleToGridWithStaleness](/sql-reference/aggregate-functions/reference/timeSeriesResampleToGridWithStaleness) | 根据指定网格对时间序列数据进行重采样的聚合函数。                                                                                                    |
-| [timeSeriesDerivToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDerivToGrid)                                 | 一种聚合函数，用于在指定网格上对时间序列数据计算类似 PromQL 的导数。                                                                                      |
-| [timeSeriesPredictLinearToGrid](/sql-reference/aggregate-functions/reference/timeSeriesPredictLinearToGrid)                 | 聚合函数，用于在指定网格上对时间序列数据进行类似 PromQL 的线性预测计算。                                                                                    |
-| [timeSeriesChangesToGrid](/sql-reference/aggregate-functions/reference/timeSeriesChangesToGrid)                             | 用于在指定网格上计算时间序列数据中 PromQL 风格变化量的聚合函数。                                                                                        |
-| [timeSeriesResetsToGrid](/sql-reference/aggregate-functions/reference/timeSeriesResetsToGrid)                               | 在指定网格上，对时间序列数据执行类似 PromQL 的重置计算的聚合函数。                                                                                       |
-| [groupConcat](/sql-reference/aggregate-functions/reference/groupconcat)                                                     | 从一组字符串生成拼接后的字符串，可选地使用分隔符分隔，并可选地限制参与拼接的元素数量上限。                                                                               |
-| [quantilePrometheusHistogram](/sql-reference/aggregate-functions/reference/quantilePrometheusHistogram)                     | 基于线性插值计算直方图的分位数。                                                                                                            |
+| 页面                                                                                                                          | 说明                                                                                                                       |
+| --------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |
+| [aggThrow](/sql-reference/aggregate-functions/reference/aggthrow)                                                           | 此函数可用于测试异常安全性。它会在创建时以指定概率抛出异常。                                                                                           |
+| [analysisOfVariance](/sql-reference/aggregate-functions/reference/analysis_of_variance)                                     | 提供单因素方差分析（ANOVA）的统计检验。它用于对若干组服从正态分布的观测值进行检验，以判断各组的均值是否相同。                                                                |
+| [any](/sql-reference/aggregate-functions/reference/any)                                                                     | 选取某列中首次出现的值。                                                                                                             |
+| [anyHeavy](/sql-reference/aggregate-functions/reference/anyheavy)                                                           | 使用 heavy hitters 算法选择一个频繁出现的值。如果在每个查询执行线程中，都存在某个值在该线程中出现次数超过一半，则返回该值。通常，该结果是非确定性的。                                       |
+| [anyLast](/sql-reference/aggregate-functions/reference/anylast)                                                             | 返回列中最后出现的值。                                                                                                              |
+| [approx&#95;top&#95;k](/sql-reference/aggregate-functions/reference/approxtopk)                                             | 返回一个数组，其中包含指定列中近似出现频率最高的值及其出现次数。                                                                                         |
+| [approx&#95;top&#95;sum](/sql-reference/aggregate-functions/reference/approxtopsum)                                         | 返回一个数组，其中包含指定列中出现频率最高的值的近似结果及其对应计数。                                                                                      |
+| [argMax](/sql-reference/aggregate-functions/reference/argmax)                                                               | 计算使 `val` 取得最大值时的 `arg` 值。                                                                                               |
+| [argMin](/sql-reference/aggregate-functions/reference/argmin)                                                               | 计算最小 `val` 值对应的 `arg` 值。如果存在多行具有相同的 `val` 且该值为最大值，则返回哪一个关联的 `arg` 是不确定的。                                                 |
+| [argAndMax](/sql-reference/aggregate-functions/reference/argandmax)                                                         | 计算最大 `val` 值对应的 `arg` 和 `val`。如果存在多行记录的 `val` 相同且都是最大值，则返回哪一行对应的 `arg` 和 `val` 是不确定的。                                    |
+| [argAndMin](/sql-reference/aggregate-functions/reference/argandmin)                                                         | 计算最小 `val` 值所对应的 `arg` 和 `val`。若存在多行记录的 `val` 相同且均为最小值，则最终返回哪一行对应的 `arg` 和 `val` 是不确定的。                                  |
+| [groupArrayArray](/sql-reference/aggregate-functions/reference/grouparrayarray)                                             | 将多个数组聚合成一个更大的数组。                                                                                                         |
+| [avg](/sql-reference/aggregate-functions/reference/avg)                                                                     | 计算算术平均值。                                                                                                                 |
+| [avgWeighted](/sql-reference/aggregate-functions/reference/avgweighted)                                                     | 计算加权算术平均值。                                                                                                               |
+| [boundingRatio](/sql-reference/aggregate-functions/reference/boundingRatio)                                                 | 用于计算一组值中最左端点和最右端点之间斜率的聚合函数。                                                                                              |
+| [categoricalInformationValue](/sql-reference/aggregate-functions/reference/categoricalinformationvalue)                     | 为每个类别计算 `(P(tag = 1) - P(tag = 0))(log(P(tag = 1)) - log(P(tag = 0)))` 的值。                                               |
+| [contingency](/sql-reference/aggregate-functions/reference/contingency)                                                     | `contingency` 函数计算列联系数，该系数用于度量表中两列之间的关联程度。其计算方式与 `cramersV` 函数类似，但平方根中的分母不同。                                             |
+| [corr](/sql-reference/aggregate-functions/reference/corr)                                                                   | 计算皮尔逊相关系数。                                                                                                               |
+| [corrMatrix](/sql-reference/aggregate-functions/reference/corrmatrix)                                                       | 计算 N 个变量的相关矩阵。                                                                                                           |
+| [corrStable](/sql-reference/aggregate-functions/reference/corrstable)                                                       | 计算 Pearson 相关系数，但采用数值上更稳定的算法。                                                                                            |
+| [count](/sql-reference/aggregate-functions/reference/count)                                                                 | 计算行数或非 NULL 值的数量。                                                                                                        |
+| [covarPop](/sql-reference/aggregate-functions/reference/covarpop)                                                           | 计算总体协方差                                                                                                                  |
+| [covarPopMatrix](/sql-reference/aggregate-functions/reference/covarpopmatrix)                                               | 返回 N 个变量之间的总体协方差矩阵。                                                                                                      |
+| [covarPopStable](/sql-reference/aggregate-functions/reference/covarpopstable)                                               | 计算总体协方差                                                                                                                  |
+| [covarSamp](/sql-reference/aggregate-functions/reference/covarsamp)                                                         | 计算 `Σ((x - x̅)(y - y̅)) / (n - 1)` 的值                                                                                    |
+| [covarSampMatrix](/sql-reference/aggregate-functions/reference/covarsampmatrix)                                             | 返回 N 个变量的样本协方差矩阵。                                                                                                        |
+| [covarSampStable](/sql-reference/aggregate-functions/reference/covarsampstable)                                             | 类似于 covarSamp，但运行速度较慢，计算误差更小。                                                                                            |
+| [cramersV](/sql-reference/aggregate-functions/reference/cramersv)                                                           | `cramersV` 函数的结果范围从 0（表示变量之间没有关联）到 1，并且只有在每个值都完全由另一个值决定时才会达到 1。它可以被理解为两个变量之间关联程度相对于其最大可能变动的百分比。                          |
+| [cramersVBiasCorrected](/sql-reference/aggregate-functions/reference/cramersvbiascorrected)                                 | 计算 Cramer&#39;s V，但使用了偏差校正。                                                                                              |
+| [deltaSum](/sql-reference/aggregate-functions/reference/deltasum)                                                           | 对连续行之间的算术差值进行求和。                                                                                                         |
+| [deltaSumTimestamp](/sql-reference/aggregate-functions/reference/deltasumtimestamp)                                         | 对相邻行之间的差值进行相加。如果差值为负，则会被忽略。                                                                                              |
+| [entropy](/sql-reference/aggregate-functions/reference/entropy)                                                             | 计算某列值的香农熵。                                                                                                               |
+| [estimateCompressionRatio](/sql-reference/aggregate-functions/reference/estimateCompressionRatio)                           | 在不实际压缩给定列的情况下，估计其压缩比。                                                                                                    |
+| [exponentialMovingAverage](/sql-reference/aggregate-functions/reference/exponentialMovingAverage)                           | 计算指定时间范围内数值的指数移动平均值。                                                                                                     |
+| [exponentialTimeDecayedAvg](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedAvg)                         | 返回在时间点 `t` 处的时间序列值的指数平滑加权移动平均。                                                                                           |
+| [exponentialTimeDecayedCount](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedCount)                     | 返回时间序列在时间索引 `t` 处的累积指数衰减。                                                                                                |
+| [exponentialTimeDecayedMax](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedMax)                         | 返回时间索引为 `t` 与 `t-1` 时刻所计算的指数平滑移动平均值中的较大值。                                                                                |
+| [exponentialTimeDecayedSum](/sql-reference/aggregate-functions/reference/exponentialTimeDecayedSum)                         | 返回时间序列在时间索引 `t` 处的指数平滑移动平均值之和。                                                                                           |
+| [first&#95;value](/sql-reference/aggregate-functions/reference/first_value)                                                 | 它是 `any` 的别名，引入它是为了与窗口函数（Window Functions）兼容，因为在某些情况下需要处理 `NULL` 值（默认情况下，所有 ClickHouse 聚合函数都会忽略 `NULL` 值）。               |
+| [flameGraph](/sql-reference/aggregate-functions/reference/flame_graph)                                                      | 根据堆栈跟踪列表构建火焰图的聚合函数。                                                                                                      |
+| [groupArray](/sql-reference/aggregate-functions/reference/grouparray)                                                       | 创建一个包含参数值的数组。可以以任意顺序（顺序不固定）将值添加到该数组中。                                                                                    |
+| [groupArrayInsertAt](/sql-reference/aggregate-functions/reference/grouparrayinsertat)                                       | 在数组的指定位置插入一个值。                                                                                                           |
+| [groupArrayIntersect](/sql-reference/aggregate-functions/reference/grouparrayintersect)                                     | 返回给定数组的交集（即所有给定数组中都包含的元素）。                                                                                               |
+| [groupArrayLast](/sql-reference/aggregate-functions/reference/grouparraylast)                                               | 创建一个由最后一个参数的值组成的数组。                                                                                                      |
+| [groupArrayMovingAvg](/sql-reference/aggregate-functions/reference/grouparraymovingavg)                                     | 计算输入值的移动平均。                                                                                                              |
+| [groupArrayMovingSum](/sql-reference/aggregate-functions/reference/grouparraymovingsum)                                     | 计算输入值的滑动求和。                                                                                                              |
+| [groupArraySample](/sql-reference/aggregate-functions/reference/grouparraysample)                                           | 创建一个参数值样本数组。结果数组的大小上限为 `max_size` 个元素。参数值会被随机选取并添加到数组中。                                                                  |
+| [groupArraySorted](/sql-reference/aggregate-functions/reference/grouparraysorted)                                           | 返回一个按升序排列的前 N 个元素的数组。                                                                                                    |
+| [timeSeriesGroupArray](/sql-reference/aggregate-functions/reference/timeSeriesGroupArray)                                   | 按时间戳对时间序列进行升序排序。                                                                                                         |
+| [groupBitAnd](/sql-reference/aggregate-functions/reference/groupbitand)                                                     | 对一组数字执行按位 `AND` 运算。                                                                                                      |
+| [groupBitmap](/sql-reference/aggregate-functions/reference/groupbitmap)                                                     | 对无符号整数列进行 Bitmap 或聚合计算时，返回 UInt64 类型的基数；如果添加后缀 -State，则返回位图对象                                                            |
+| [groupBitmapAnd](/sql-reference/aggregate-functions/reference/groupbitmapand)                                               | 对位图列执行 AND 运算，返回 UInt64 类型的基数值；如果添加后缀 -State，则返回一个位图对象。                                                                  |
+| [groupBitmapOr](/sql-reference/aggregate-functions/reference/groupbitmapor)                                                 | 对位图列执行 OR 计算，返回基数（类型为 UInt64）；如果添加后缀 -State，则返回一个位图对象。等同于 `groupBitmapMerge`。                                            |
+| [groupBitmapXor](/sql-reference/aggregate-functions/reference/groupbitmapxor)                                               | 计算 bitmap 列的 XOR，并以 UInt64 类型返回基数；如果使用 -State 后缀，则返回一个 bitmap 对象                                                         |
+| [groupBitOr](/sql-reference/aggregate-functions/reference/groupbitor)                                                       | 对一系列数值执行按位 `OR` 运算。                                                                                                      |
+| [groupBitXor](/sql-reference/aggregate-functions/reference/groupbitxor)                                                     | 对一组数字执行按位 `XOR` 运算。                                                                                                      |
+| [groupUniqArray](/sql-reference/aggregate-functions/reference/groupuniqarray)                                               | 从多个参数值创建数组。                                                                                                              |
+| [intervalLengthSum](/sql-reference/aggregate-functions/reference/intervalLengthSum)                                         | 计算所有区间（数轴线段）的并集的总长度。                                                                                                     |
+| [kolmogorovSmirnovTest](/sql-reference/aggregate-functions/reference/kolmogorovsmirnovtest)                                 | 对来自两个总体的样本执行 Kolmogorov-Smirnov 检验。                                                                                      |
+| [kurtPop](/sql-reference/aggregate-functions/reference/kurtpop)                                                             | 计算序列的峰度值。                                                                                                                |
+| [kurtSamp](/sql-reference/aggregate-functions/reference/kurtsamp)                                                           | 计算序列的样本峰度。                                                                                                               |
+| [largestTriangleThreeBuckets](/sql-reference/aggregate-functions/reference/largestTriangleThreeBuckets)                     | 对输入数据应用 Largest-Triangle-Three-Buckets 算法。                                                                               |
+| [last&#95;value](/sql-reference/aggregate-functions/reference/last_value)                                                   | 选择最近一次出现的值，类似于 `anyLast`，但可以接受 NULL 值。                                                                                   |
+| [mannWhitneyUTest](/sql-reference/aggregate-functions/reference/mannwhitneyutest)                                           | 对来自两个总体的样本执行 Mann-Whitney 秩检验。                                                                                           |
+| [max](/sql-reference/aggregate-functions/reference/max)                                                                     | 计算一组值的最大值的聚合函数。                                                                                                          |
+| [maxIntersections](/sql-reference/aggregate-functions/reference/maxintersections)                                           | 计算一组区间之间相互相交的最大次数的聚合函数（在所有区间至少相交一次的前提下）。                                                                                 |
+| [maxIntersectionsPosition](/sql-reference/aggregate-functions/reference/maxintersectionsposition)                           | 用于计算 `maxIntersections` 函数出现位置的聚合函数。                                                                                     |
+| [maxMap](/sql-reference/aggregate-functions/reference/maxmap)                                                               | 根据 `key` 数组中的键，对 `value` 数组求最大值。                                                                                         |
+| [meanZTest](/sql-reference/aggregate-functions/reference/meanztest)                                                         | 对来自两个总体的样本进行均值z检验。                                                                                                       |
+| [median](/sql-reference/aggregate-functions/reference/median)                                                               | `median*` 函数是对应 `quantile*` 函数的别名。它们用于计算数值型数据样本的中位数。                                                                     |
+| [min](/sql-reference/aggregate-functions/reference/min)                                                                     | 用于计算一组值中最小值的聚合函数。                                                                                                        |
+| [minMap](/sql-reference/aggregate-functions/reference/minmap)                                                               | 按 `key` 数组中指定的键，从 `value` 数组中计算最小值。                                                                                      |
+| [quantile](/sql-reference/aggregate-functions/reference/quantile)                                                           | 计算数值序列的近似分位数。                                                                                                            |
+| [quantileBFloat16](/sql-reference/aggregate-functions/reference/quantilebfloat16)                                           | 计算由 bfloat16 数值构成的样本的近似分位数。                                                                                              |
+| [quantileDD](/sql-reference/aggregate-functions/reference/quantileddsketch)                                                 | 计算样本的近似分位数，并提供相对误差保证。                                                                                                    |
+| [quantileDeterministic](/sql-reference/aggregate-functions/reference/quantiledeterministic)                                 | 计算数值序列的近似分位数。                                                                                                            |
+| [quantileExact 函数](/sql-reference/aggregate-functions/reference/quantileexact)                                              | quantileExact、quantileExactLow、quantileExactHigh、quantileExactExclusive、quantileExactInclusive 函数                        |
+| [quantileExactWeighted](/sql-reference/aggregate-functions/reference/quantileexactweighted)                                 | 精确计算数值数据序列的分位数，并考虑每个元素的权重。                                                                                               |
+| [quantileGK](/sql-reference/aggregate-functions/reference/quantileGK)                                                       | 使用 Greenwald-Khanna 算法计算数值序列的分位数。                                                                                        |
+| [quantileExactWeightedInterpolated](/sql-reference/aggregate-functions/reference/quantileExactWeightedInterpolated)         | 使用线性插值计算数值数据序列的分位数，同时考虑每个元素的权重。                                                                                          |
+| [quantileInterpolatedWeighted](/sql-reference/aggregate-functions/reference/quantileInterpolatedWeighted)                   | 使用线性插值计算数值数据序列的分位数，并考虑各元素的权重。                                                                                            |
+| [quantiles 聚合函数](/sql-reference/aggregate-functions/reference/quantiles)                                                    | quantiles, quantilesExactExclusive, quantilesExactInclusive, quantilesGK                                                 |
+| [quantileTDigest](/sql-reference/aggregate-functions/reference/quantiletdigest)                                             | 使用 t-digest 算法计算数值序列的近似分位数。                                                                                              |
+| [quantileTDigestWeighted](/sql-reference/aggregate-functions/reference/quantiletdigestweighted)                             | 使用 t-digest 算法计算数值数据序列的近似分位数。                                                                                            |
+| [quantileTiming](/sql-reference/aggregate-functions/reference/quantiletiming)                                               | 以指定精度计算数值数据序列的分位数。                                                                                                       |
+| [quantileTimingWeighted](/sql-reference/aggregate-functions/reference/quantiletimingweighted)                               | 以指定的精度，根据每个序列元素的权重计算数值数据序列的分位数。                                                                                          |
+| [rankCorr](/sql-reference/aggregate-functions/reference/rankCorr)                                                           | 计算秩相关系数。                                                                                                                 |
+| [simpleLinearRegression](/sql-reference/aggregate-functions/reference/simplelinearregression)                               | 执行简单的一元线性回归。                                                                                                             |
+| [singleValueOrNull](/sql-reference/aggregate-functions/reference/singlevalueornull)                                         | 聚合函数 `singleValueOrNull` 用于实现子查询运算符，例如 `x = ALL (SELECT ...)`。它会检查数据中是否仅有一个唯一的非 NULL 值。                                  |
+| [skewPop](/sql-reference/aggregate-functions/reference/skewpop)                                                             | 计算序列的偏度。                                                                                                                 |
+| [skewSamp](/sql-reference/aggregate-functions/reference/skewsamp)                                                           | 计算一组数据的样本偏度。                                                                                                             |
+| [sparkbar](/sql-reference/aggregate-functions/reference/sparkbar)                                                           | 该函数在区间 `[min_x, max_x]` 上，根据取值 `x` 及其重复次数 `y` 绘制频率直方图。                                                                   |
+| [stddevPop](/sql-reference/aggregate-functions/reference/stddevpop)                                                         | 结果等于 varPop 的平方根。                                                                                                        |
+| [stddevPopStable](/sql-reference/aggregate-functions/reference/stddevpopstable)                                             | 结果等于 varPop 的平方根。与 stddevPop 不同，此函数使用在数值上稳定的算法。                                                                          |
+| [stddevSamp](/sql-reference/aggregate-functions/reference/stddevsamp)                                                       | 结果等于 varSamp 的平方根                                                                                                        |
+| [stddevSampStable](/sql-reference/aggregate-functions/reference/stddevsampstable)                                           | 结果等于 varSamp 的平方根。与 varSamp 不同的是，本函数使用数值稳定的算法。                                                                           |
+| [stochasticLinearRegression](/sql-reference/aggregate-functions/reference/stochasticlinearregression)                       | 此函数实现了随机线性回归。它支持自定义学习率、L2 正则化系数、小批量大小等参数，并提供几种用于更新权重的方法（Adam、简单 SGD、Momentum、Nesterov）。                                  |
+| [stochasticLogisticRegression](/sql-reference/aggregate-functions/reference/stochasticlogisticregression)                   | 此函数实现了随机逻辑回归。它可用于二元分类问题，支持与 stochasticLinearRegression 相同的自定义参数，且工作方式相同。                                                 |
+| [studentTTest](/sql-reference/aggregate-functions/reference/studentttest)                                                   | 对来自两个总体的样本进行 Student t 检验。                                                                                               |
+| [studentTTestOneSample](/sql-reference/aggregate-functions/reference/studentttestonesample)                                 | 对样本与已知总体均值执行单样本 Student t 检验。                                                                                            |
+| [sum](/sql-reference/aggregate-functions/reference/sum)                                                                     | 计算总和。仅适用于数值。                                                                                                             |
+| [sumCount](/sql-reference/aggregate-functions/reference/sumcount)                                                           | 同时计算数值总和和行数。该函数由 ClickHouse 查询优化器使用：如果在一个查询中存在多个 `sum`、`count` 或 `avg` 函数，它们可以被替换为单个 `sumCount` 函数以重用计算结果。通常很少需要显式使用该函数。 |
+| [sumKahan](/sql-reference/aggregate-functions/reference/sumkahan)                                                           | 使用 Kahan 补偿求和算法计算数值之和                                                                                                    |
+| [sumMap](/sql-reference/aggregate-functions/reference/summap)                                                               | 根据 `key` 数组中指定的键，对一个或多个 `value` 数组求和。返回一个数组元组：依次为按排序顺序排列的键数组，以及对应键的求和值数组，且不会发生溢出。                                        |
+| [sumMapWithOverflow](/sql-reference/aggregate-functions/reference/summapwithoverflow)                                       | 根据 `key` 数组中指定的键对 `value` 数组求和。返回一个包含两个数组的元组：按排序顺序排列的键，以及对应键的求和值。与 `sumMap` 函数不同之处在于，它在求和时会发生溢出（不进行溢出检查）。                |
+| [sumWithOverflow](/sql-reference/aggregate-functions/reference/sumwithoverflow)                                             | 使用与输入参数相同的数据类型计算数值的总和。如果总和超过该数据类型的最大值，则会发生溢出。                                                                            |
+| [theilsU](/sql-reference/aggregate-functions/reference/theilsu)                                                             | `theilsU` 函数计算 Theils&#39; U 不确定性系数，用于度量表中两列之间的关联程度。                                                                     |
+| [topK](/sql-reference/aggregate-functions/reference/topk)                                                                   | 返回一个数组，其中包含指定列中近似出现频率最高的值。结果数组按值的近似出现频率降序排列（而不是按值本身排序）。                                                                  |
+| [topKWeighted](/sql-reference/aggregate-functions/reference/topkweighted)                                                   | 返回一个数组，包含指定列中近似最常出现的值。结果数组按值的近似频率降序排序（而不是按值本身排序）。此外，还会考虑值的权重。                                                            |
+| [uniq](/sql-reference/aggregate-functions/reference/uniq)                                                                   | 计算参数不同取值的大致个数。                                                                                                           |
+| [uniqCombined](/sql-reference/aggregate-functions/reference/uniqcombined)                                                   | 计算参数不同取值的近似数量。                                                                                                           |
+| [uniqCombined64](/sql-reference/aggregate-functions/reference/uniqcombined64)                                               | 计算不同参数取值的近似数量。与 uniqCombined 相同，但对所有数据类型都使用 64 位哈希，而不仅仅是对 String 数据类型使用。                                                 |
+| [uniqExact](/sql-reference/aggregate-functions/reference/uniqexact)                                                         | 计算不同参数取值的精确个数。                                                                                                           |
+| [uniqHLL12](/sql-reference/aggregate-functions/reference/uniqhll12)                                                         | 使用 HyperLogLog 算法计算不同参数取值的近似数量。                                                                                          |
+| [uniqTheta](/sql-reference/aggregate-functions/reference/uniqthetasketch)                                                   | 使用 Theta Sketch Framework 近似计算不同参数取值的数量。                                                                                 |
+| [varPop](/sql-reference/aggregate-functions/reference/varPop)                                                               | 计算总体方差。                                                                                                                  |
+| [varPopStable](/sql-reference/aggregate-functions/reference/varpopstable)                                                   | 返回总体方差。与 varPop 不同，该函数采用数值更稳定的算法。虽然运行速度较慢，但计算误差更小。                                                                       |
+| [varSamp](/sql-reference/aggregate-functions/reference/varSamp)                                                             | 计算一组数据的样本方差。                                                                                                             |
+| [varSampStable](/sql-reference/aggregate-functions/reference/varsampstable)                                                 | 计算数据集的样本方差。与 `varSamp` 不同，此函数使用数值稳定的算法。虽然运行速度较慢，但计算误差更小。                                                                 |
+| [welchTTest](/sql-reference/aggregate-functions/reference/welchttest)                                                       | 对来自两个总体的样本进行 Welch t 检验。                                                                                                 |
+| [distinctDynamicTypes](/sql-reference/aggregate-functions/reference/distinctdynamictypes)                                   | 计算 Dynamic 列中存储的不同数据类型列表。                                                                                                |
+| [distinctJSONPaths](/sql-reference/aggregate-functions/reference/distinctjsonpaths)                                         | 计算 JSON 列中存储的唯一路径列表。                                                                                                     |
+| [timeSeriesDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDeltaToGrid)                                 | 用于在指定网格上对时间序列数据计算类似 PromQL 的 delta 的聚合函数。                                                                                |
+| [timeSeriesInstantDeltaToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantDeltaToGrid)                   | 用于在指定网格上，对时间序列数据计算类似 PromQL 的 idelta 的聚合函数。                                                                              |
+| [timeSeriesInstantRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesInstantRateToGrid)                     | 用于在指定网格上对时间序列数据计算类似 PromQL 的 irate 的聚合函数。                                                                                |
+| [timeSeriesLastTwoSamples](/sql-reference/aggregate-functions/reference/timeSeriesLastTwoSamples)                           | 用于对时间序列数据进行重采样，以执行类似 PromQL 的 irate 和 idelta 计算的聚合函数                                                                     |
+| [timeSeriesRateToGrid](/sql-reference/aggregate-functions/reference/timeSeriesRateToGrid)                                   | 在指定网格上对时间序列数据计算类似 PromQL 的 rate 的聚合函数。                                                                                   |
+| [timeSeriesResampleToGridWithStaleness](/sql-reference/aggregate-functions/reference/timeSeriesResampleToGridWithStaleness) | 用于将时间序列数据重采样到指定网格的聚合函数。                                                                                                  |
+| [timeSeriesDerivToGrid](/sql-reference/aggregate-functions/reference/timeSeriesDerivToGrid)                                 | 用于在指定网格上对时间序列数据计算 PromQL 风格导数的聚合函数。                                                                                      |
+| [timeSeriesPredictLinearToGrid](/sql-reference/aggregate-functions/reference/timeSeriesPredictLinearToGrid)                 | 用于在指定网格上对时间序列数据执行类似 PromQL 的线性预测计算的聚合函数。                                                                                 |
+| [timeSeriesChangesToGrid](/sql-reference/aggregate-functions/reference/timeSeriesChangesToGrid)                             | 一种聚合函数，用于在指定网格上对时间序列数据计算类似 PromQL 的变化。                                                                                   |
+| [timeSeriesResetsToGrid](/sql-reference/aggregate-functions/reference/timeSeriesResetsToGrid)                               | 一种聚合函数，用于按指定网格对时间序列数据计算类似 PromQL 的重置次数。                                                                                  |
+| [groupConcat](/sql-reference/aggregate-functions/reference/groupconcat)                                                     | 从一组字符串生成连接后的字符串，可选指定分隔符，也可选限制参与连接的最大元素数。                                                                                 |
+| [quantilePrometheusHistogram](/sql-reference/aggregate-functions/reference/quantilePrometheusHistogram)                     | 使用线性插值计算直方图的分位数。                                                                                                         |
 
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