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-rw-r--r--doc/development/database/background_migrations.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/development/database/background_migrations.md b/doc/development/database/background_migrations.md
index fe62bbc6b14..457694c7abd 100644
--- a/doc/development/database/background_migrations.md
+++ b/doc/development/database/background_migrations.md
@@ -236,7 +236,7 @@ Next we need a post-deployment migration that schedules the migration for
existing data.
```ruby
-class ScheduleExtractIntegrationsUrl < Gitlab::Database::Migration[2.0]
+class ScheduleExtractIntegrationsUrl < Gitlab::Database::Migration[2.1]
disable_ddl_transaction!
MIGRATION = 'ExtractIntegrationsUrl'
@@ -263,7 +263,7 @@ jobs and manually run on any un-migrated rows. Such a migration would look like
this:
```ruby
-class ConsumeRemainingExtractIntegrationsUrlJobs < Gitlab::Database::Migration[2.0]
+class ConsumeRemainingExtractIntegrationsUrlJobs < Gitlab::Database::Migration[2.1]
disable_ddl_transaction!
def up
@@ -412,7 +412,7 @@ When looking at the batch execution time versus the delay time, the execution ti
should fit comfortably within the delay time for a few reasons:
- To allow for a variance in query times.
-- To allow autovacuum to catch up after periods of high churn.
+- To allow `autovacuum` to catch up after periods of high churn.
Never try to optimize by fully filling the delay window even if you are confident
the queries themselves have no timing variance.