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authorGitLab Bot <gitlab-bot@gitlab.com>2022-12-20 17:22:11 +0300
committerGitLab Bot <gitlab-bot@gitlab.com>2022-12-20 17:22:11 +0300
commit0c872e02b2c822e3397515ec324051ff540f0cd5 (patch)
treece2fb6ce7030e4dad0f4118d21ab6453e5938cdd /doc/development/sidekiq/idempotent_jobs.md
parentf7e05a6853b12f02911494c4b3fe53d9540d74fc (diff)
Add latest changes from gitlab-org/gitlab@15-7-stable-eev15.7.0-rc42
Diffstat (limited to 'doc/development/sidekiq/idempotent_jobs.md')
-rw-r--r--doc/development/sidekiq/idempotent_jobs.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/development/sidekiq/idempotent_jobs.md b/doc/development/sidekiq/idempotent_jobs.md
index 80c6c403549..1c4f4ba44a8 100644
--- a/doc/development/sidekiq/idempotent_jobs.md
+++ b/doc/development/sidekiq/idempotent_jobs.md
@@ -156,7 +156,7 @@ end
## Setting the deduplication time-to-live (TTL)
-Deduplication depends on an idempotency key that is stored in Redis. This is normally
+Deduplication depends on an idempotent key that is stored in Redis. This is normally
cleared by the configured deduplication strategy.
However, the key can remain until its TTL in certain cases like:
@@ -189,7 +189,7 @@ that can tolerate some duplication.
> - [Introduced](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/69372) in GitLab 14.3.
> - [Enabled on GitLab.com](https://gitlab.com/gitlab-org/gitlab/-/issues/338350) in GitLab 14.4.
> - [Enabled on self-managed](https://gitlab.com/gitlab-org/gitlab/-/issues/338350) in GitLab 14.6.
-> - [Generally available](https://gitlab.com/gitlab-org/gitlab/-/issues/346598) in GitLab 14.9. [Feature flag preserve_latest_wal_locations_for_idempotent_jobs](https://gitlab.com/gitlab-org/gitlab/-/issues/346598) removed.
+> - [Generally available](https://gitlab.com/gitlab-org/gitlab/-/issues/346598) in GitLab 14.9. [Feature flag `preserve_latest_wal_locations_for_idempotent_jobs`](https://gitlab.com/gitlab-org/gitlab/-/issues/346598) removed.
The deduplication always take into account the latest binary replication pointer, not the first one.
This happens because we drop the same job scheduled for the second time and the Write-Ahead Log (WAL) is lost.