Merge branch 'main' into esql-fix-136154

Author: afoucret

.buildkite/scripts/generate-pr-performance-benchmark.sh

@@ -46,6 +46,7 @@ steps:
         CONFIGURATION_NAME: ${GITHUB_PR_COMMENT_VAR_BENCHMARK}
         ENV_ID: ${env_id_baseline}
         REVISION: ${merge_base}
+        BENCHMARK_TYPE: baseline
   - label: Trigger contender benchmark with ${GITHUB_PR_TRIGGERED_SHA:0:7}
     trigger: elasticsearch-performance-esbench-pr
     build:
@@ -56,6 +57,7 @@ steps:
         ENV_ID: ${env_id_contender}
         ES_REPO_URL: https://github.com/${GITHUB_PR_OWNER}/${GITHUB_PR_REPO}.git
         REVISION: ${GITHUB_PR_TRIGGERED_SHA}
+        BENCHMARK_TYPE: contender
   - wait: ~
   - label: Update PR comment and Buildkite annotation
     command: |

.gitignore

@@ -46,6 +46,7 @@ build/
 **/.local*
 .vagrant/
 /logs/
+**/target/
 
 # osx stuff
 .DS_Store

docs/changelog/135886.yaml

@@ -0,0 +1,6 @@
+pr: 135886
+summary: Provide defaults for index sort settings
+area: Mapping
+type: bug
+issues:
+ - 129062

docs/changelog/136066.yaml

@@ -0,0 +1,5 @@
+pr: 136066
+summary: Simulate shards moved by explicit commands
+area: Allocation
+type: enhancement
+issues: []

docs/reference/elasticsearch/mapping-reference/sparse-vector.md

@@ -95,13 +95,13 @@ This ensures that:
 * The tokens that are kept are frequent enough and have significant scoring.
 * Very infrequent tokens that may not have as high of a score are removed.
 
-## Accessing `dense_vector` fields in search responses
+## Accessing `sparse_vector` fields in search responses
 ```{applies_to}
 stack: ga 9.2
 serverless: ga
 ```
 
-By default, `dense_vector` fields are **not included in `_source`** in responses from the `_search`, `_msearch`, `_get`, and `_mget` APIs.
+By default, `sparse_vector` fields are **not included in `_source`** in responses from the `_search`, `_msearch`, `_get`, and `_mget` APIs.
 This helps reduce response size and improve performance, especially in scenarios where vectors are used solely for similarity scoring and not required in the output.
 
 To retrieve vector values explicitly, you can use: