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authorRobert Speicher <rspeicher@gmail.com>2021-01-20 22:34:23 +0300
committerRobert Speicher <rspeicher@gmail.com>2021-01-20 22:34:23 +0300
commit6438df3a1e0fb944485cebf07976160184697d72 (patch)
tree00b09bfd170e77ae9391b1a2f5a93ef6839f2597 /doc/development/query_performance.md
parent42bcd54d971da7ef2854b896a7b34f4ef8601067 (diff)
Add latest changes from gitlab-org/gitlab@13-8-stable-eev13.8.0-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](product_analytics/usage_ping.md#developing-and-testing-usage-ping) for more details. |
+| Usage Ping | `1s` | See the [usage ping docs](usage_ping.md#developing-and-testing-usage-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.