Fix header casing

Blargian · Blargian · commit 93380d131194 · 2025-06-29T20:33:23.000+02:00
diff --git a/docs/integrations/data-ingestion/clickpipes/index.md b/docs/integrations/data-ingestion/clickpipes/index.md
@@ -30,7 +30,7 @@ import Image from '@theme/IdealImage';
 
 <Image img={clickpipes_stack} alt="ClickPipes stack" size="lg" border/>
 
-## Supported Data Sources {#supported-data-sources}
+## Supported data sources {#supported-data-sources}
 
 | Name                 | Logo                                                                                             |Type| Status           | Description                                                                                          |
 |----------------------|--------------------------------------------------------------------------------------------------|----|------------------|------------------------------------------------------------------------------------------------------|
diff --git a/docs/integrations/data-ingestion/clickpipes/object-storage.md b/docs/integrations/data-ingestion/clickpipes/object-storage.md
@@ -173,7 +173,7 @@ Currently only protected buckets are supported for DigitalOcean spaces. You requ
 ### Azure Blob Storage {#azureblobstorage}
 Currently only protected buckets are supported for Azure Blob Storage. Authentication is done via a connection string, which supports access keys and shared keys. For more information, read [this guide](https://learn.microsoft.com/en-us/azure/storage/common/storage-configure-connection-string).
 
-## F.A.Q. {#faq}
+## FAQ {#faq}
 
 - **Does ClickPipes support GCS buckets prefixed with `gs://`?**
 
diff --git a/docs/integrations/data-ingestion/clickpipes/postgres/faq.md b/docs/integrations/data-ingestion/clickpipes/postgres/faq.md
@@ -186,7 +186,7 @@ For manually created publications, please add any tables you want to the publica
 ::: 
 
 
-## Recommended `max_slot_wal_keep_size` Settings {#recommended-max_slot_wal_keep_size-settings}
+## Recommended `max_slot_wal_keep_size` settings {#recommended-max_slot_wal_keep_size-settings}
 
 - **At Minimum:** Set [`max_slot_wal_keep_size`](https://www.postgresql.org/docs/devel/runtime-config-replication.html#GUC-MAX-SLOT-WAL-KEEP-SIZE) to retain at least **two days' worth** of WAL data.
 - **For Large Databases (High Transaction Volume):** Retain at least **2-3 times** the peak WAL generation per day.
diff --git a/docs/integrations/data-ingestion/data-formats/json/other.md b/docs/integrations/data-ingestion/data-formats/json/other.md
@@ -202,7 +202,7 @@ Peak memory usage: 211.49 MiB.
 
 The above query uses the `simpleJSONExtractString` to extract the `created` key, exploiting the fact we want the first value only for the published date. In this case, the limitations of the `simpleJSON*` functions are acceptable for the gain in performance.
 
-## Using Map {#using-map}
+## Using the Map type {#using-map}
 
 If the object is used to store arbitrary keys, mostly of one type, consider using the `Map` type. Ideally, the number of unique keys should not exceed several hundred. The `Map` type can also be considered for objects with sub-objects, provided the latter have uniformity in their types. Generally, we recommend the `Map` type be used for labels and tags, e.g. Kubernetes pod labels in log data.
 
diff --git a/docs/integrations/data-ingestion/etl-tools/dbt/index.md b/docs/integrations/data-ingestion/etl-tools/dbt/index.md
@@ -811,7 +811,7 @@ Checking again the query_log table reveals the differences between the 2 increme
 
 In this run, only the new rows are added straight to `imdb_dbt.actor_summary` table and there is no table creation involved.
 
-### Delete+Insert mode (Experimental) {#deleteinsert-mode-experimental}
+### Delete and insert mode (experimental) {#deleteinsert-mode-experimental}
 
 Historically ClickHouse has had only limited support for updates and deletes, in the form of asynchronous [Mutations](/sql-reference/statements/alter/index.md). These can be extremely IO-intensive and should generally be avoided.
 
@@ -1028,7 +1028,7 @@ Note how a table actor_summary_snapshot has been created in the snapshots db (de
 For further details on dbt snapshots see [here](https://docs.getdbt.com/docs/building-a-dbt-project/snapshots).
 
 
-## Using Seeds {#using-seeds}
+## Using seeds {#using-seeds}
 
 dbt provides the ability to load data from CSV files. This capability is not suited to loading large exports of a database and is more designed for small files typically used for code tables and [dictionaries](../../../../sql-reference/dictionaries/index.md), e.g. mapping country codes to country names. For a simple example, we generate and then upload a list of genre codes using the seed functionality.
 
diff --git a/docs/integrations/data-ingestion/kafka/confluent/custom-connector.md b/docs/integrations/data-ingestion/kafka/confluent/custom-connector.md
@@ -59,7 +59,7 @@ Example:
 #### Gather your connection details {#gather-your-connection-details}
 <ConnectionDetails />
 
-#### Configure the Connector {#configure-the-connector}
+#### Configure the connector {#configure-the-connector}
 Navigate to `Connectors` -> `Add Connector` and use the following settings (note that the values are examples only):
 
 ```json
diff --git a/docs/integrations/data-ingestion/s3/index.md b/docs/integrations/data-ingestion/s3/index.md
@@ -952,7 +952,7 @@ sudo -u clickhouse \
   cp keeper.xml /etc/clickhouse-keeper/keeper.xml
 ```
 
-### Configure ClickHouse Server {#configure-clickhouse-server}
+### Configure ClickHouse server {#configure-clickhouse-server}
 
 #### Define a cluster {#define-a-cluster}
 
diff --git a/docs/integrations/data-visualization/grafana/config.md b/docs/integrations/data-visualization/grafana/config.md
@@ -57,7 +57,7 @@ secureJsonData:
 
 Note that a `version` property is added when the configuration is saved from the UI. This shows the version of the plugin that the config was saved with.
 
-### HTTP Protocol {#http-protocol}
+### HTTP protocol {#http-protocol}
 
 More settings will be displayed if you choose to connect via the HTTP protocol.
 
diff --git a/docs/integrations/data-visualization/grafana/query-builder.md b/docs/integrations/data-visualization/grafana/query-builder.md
@@ -158,7 +158,7 @@ The trace query type supports [data links](#data-links).
 
 This query type will render the data with the table view for Trace Search mode, and the trace panel for Trace ID mode.
 
-## SQL Editor {#sql-editor}
+## SQL editor {#sql-editor}
 
 For queries that are too complex for the query builder, you can use the SQL Editor.
 This gives you full control over the query by allowing you to write and run plain ClickHouse SQL.
@@ -219,7 +219,7 @@ Before a query gets sent to the ClickHouse server, the plugin will expand the ma
 Queries from both the SQL Editor and Query Builder can use macros.
 
 
-### Using Macros {#using-macros}
+### Using macros {#using-macros}
 
 Macros can be included anywhere in the query, multiple times if needed.
 
diff --git a/docs/integrations/data-visualization/rocketbi-and-clickhouse.md b/docs/integrations/data-visualization/rocketbi-and-clickhouse.md
@@ -41,7 +41,7 @@ This is the dashboard:
 
 You can checkout [the Dashboard via this link.](https://demo.rocket.bi/dashboard/sales-dashboard-7?token=7eecf750-cbde-4c53-8fa8-8b905fec667e)
 
-## INSTALL {#install}
+## Install {#install}
 
 Start RocketBI with our pre-built docker images.
 
@@ -59,7 +59,7 @@ Open browser, go to ```localhost:5050```, login with this account: ```hello@gmai
 
 To build from source or advanced configuration you could check it here [Rocket.BI Readme](https://github.com/datainsider-co/rocket-bi/blob/main/README.md)
 
-## LET'S BUILD THE DASHBOARD {#lets-build-the-dashboard}
+## Let's build the dashboard {#lets-build-the-dashboard}
 
 In Dashboard, you will find your reportings, start visualization by clicking **+New**
 
@@ -70,9 +70,9 @@ You can build **unlimited dashboards** & draw **unlimited charts** in a dashboar
 
 See hi-res tutorial on Youtube: [https://www.youtube.com/watch?v=TMkdMHHfvqY](https://www.youtube.com/watch?v=TMkdMHHfvqY)
 
-### Build the Chart Controls {#build-the-chart-controls}
+### Build the chart controls {#build-the-chart-controls}
 
-#### Create a Metrics Control {#create-a-metrics-control}
+#### Create a metrics control {#create-a-metrics-control}
 In the Tab filter, select metric fields you want to use. Make sure to keep check on aggregation setting.
 
 <Image size="md" img={rocketbi_03} alt="Rocket BI metrics control configuration panel showing selected fields and aggregation settings" border />
@@ -83,7 +83,7 @@ Rename filters & Save Control to Dashboard
 <Image size="md" img={rocketbi_04} alt="Metrics control with renamed filters ready to save to dashboard" border />
 
 
-#### Create a Date Type Control {#create-a-date-type-control}
+#### Create a date type control {#create-a-date-type-control}
 Choose a Date field as Main Date column:
 
 <Image size="md" img={rocketbi_05} alt="Date field selection interface in Rocket BI showing available date columns" border />
@@ -100,7 +100,7 @@ Rename filters & Save Control to Dashboard
 
 ### Now, let build the Charts {#now-let-build-the-charts}
 
-#### Pie Chart: Sales Metrics by Regions {#pie-chart-sales-metrics-by-regions}
+#### Pie chart: sales metrics by regions {#pie-chart-sales-metrics-by-regions}
 Choose Adding new chart, then Select Pie Chart
 
 <Image size="md" img={rocketbi_08} alt="Chart type selection panel with pie chart option highlighted" border />
diff --git a/docs/integrations/language-clients/go/index.md b/docs/integrations/language-clients/go/index.md
@@ -164,13 +164,13 @@ When choosing a client library, users should be aware of their respective pros a
 | clickhouse-go |       ✅       |        ✅        |       ✅       |          ✅         |           ✅           |         ✅        |      ✅      |          ✅         |
 |     ch-go     |       ✅       |        ✅        |               |                    |           ✅           |                  |      ✅      |                    |
 
-## Choosing a Client {#choosing-a-client}
+## Choosing a client {#choosing-a-client}
 
 Selecting a client library depends on your usage patterns and need for optimal performance. For insert heavy use cases, where millions of inserts are required per second, we recommend using the low level client [ch-go](https://github.com/ClickHouse/ch-go). This client avoids the associated overhead of pivoting the data from a row-orientated format to columns, as the ClickHouse native format requires. Furthermore, it avoids any reflection or use of the `interface{}` (`any`) type to simplify usage.
 
 For query workloads focused on aggregations or lower throughput insert workloads, the [clickhouse-go](https://github.com/ClickHouse/clickhouse-go) provides a familiar `database/sql` interface and more straightforward row semantics. Users can also optionally use HTTP for the transport protocol and take advantage of helper functions to marshal rows to and from structs.
 
-## The clickhouse-go Client {#the-clickhouse-go-client}
+## The clickhouse-go client {#the-clickhouse-go-client}
 
 The clickhouse-go client provides two API interfaces for communicating with ClickHouse:
 
@@ -1970,7 +1970,7 @@ func ConnectDSNHTTP() error {
 
 [Full Example](https://github.com/ClickHouse/clickhouse-go/blob/main/examples/std/connect_http.go)
 
-#### Connecting to Multiple Nodes {#connecting-to-multiple-nodes-1}
+#### Connecting to multiple nodes {#connecting-to-multiple-nodes-1}
 
 If using `OpenDB`, connect to multiple hosts using the same options approach as that used for the ClickHouse API - optionally specifying the `ConnOpenStrategy`.
 
diff --git a/docs/materialized-view/incremental-materialized-view.md b/docs/materialized-view/incremental-materialized-view.md
@@ -1098,7 +1098,7 @@ Leave it disabled when:
 - You're debugging or auditing insert behavior and want deterministic replay
 
 
-## Materialized Views and Common Table Expressions (CTEs) {#materialized-views-common-table-expressions-ctes}
+## Materialized views and Common Table Expressions (CTE) {#materialized-views-common-table-expressions-ctes}
 
 **Non-recursive** Common Table Expressions (CTEs) are supported in Materialized Views.
 
diff --git a/styles/ClickHouse/Headings.yml b/styles/ClickHouse/Headings.yml
@@ -219,3 +219,33 @@ exceptions:
   - avgState
   - countResample
   - PREWHERE
+  - Splunk
+  - Retool
+  - Airbyte
+  - RawBLOB
+  - RowBinary
+  - MessagePack
+  - Protocol Buffers
+  - Cap'n Proto
+  - UPDATEs
+  - DELETEs
+  - INSERTs
+  - MERGEs
+  - DBT
+  - insert_overwrite
+  - Vector
+  - Nginx
+  - Dataflow
+  - QueryResult
+  - AsyncClient
+  - QueryContexts
+  - StreamContexts
+  - Easypanel
+  - Date32
+  - Node.js
+  - EventHubs
+  - Kafka Connect Sink
+  - String
+  - Map
+  - Nested
+  - flatten_nested
