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authorGitLab Bot <gitlab-bot@gitlab.com>2021-07-20 12:55:51 +0300
committerGitLab Bot <gitlab-bot@gitlab.com>2021-07-20 12:55:51 +0300
commite8d2c2579383897a1dd7f9debd359abe8ae8373d (patch)
treec42be41678c2586d49a75cabce89322082698334 /doc/development/query_performance.md
parentfc845b37ec3a90aaa719975f607740c22ba6a113 (diff)
Add latest changes from gitlab-org/gitlab@14-1-stable-eev14.1.0-rc42
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diff --git a/doc/development/query_performance.md b/doc/development/query_performance.md
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@@ -21,7 +21,7 @@ When you are optimizing your SQL queries, there are two dimensions to pay attent
| Queries in a migration | `100ms` | This is different than the total [migration time](database_review.md#timing-guidelines-for-migrations). |
| Concurrent operations in a migration | `5min` | Concurrent operations do not block the database, but they block the GitLab update. This includes operations such as `add_concurrent_index` and `add_concurrent_foreign_key`. |
| Background migrations | `1s` | |
-| Usage Ping | `1s` | See the [usage ping docs](usage_ping/index.md#developing-and-testing-usage-ping) for more details. |
+| Service Ping | `1s` | See the [Service Ping docs](service_ping/index.md#developing-and-testing-service-ping) for more details. |
- When analyzing your query's performance, pay attention to if the time you are seeing is on a [cold or warm cache](#cold-and-warm-cache). These guidelines apply for both cache types.
- When working with batched queries, change the range and batch size to see how it effects the query timing and caching.