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authorGitLab Bot <gitlab-bot@gitlab.com>2020-12-11 09:10:17 +0300
committerGitLab Bot <gitlab-bot@gitlab.com>2020-12-11 09:10:17 +0300
commit12d3a6f92190feeec2c36262a0344da00f228dcd (patch)
treedc59acdbf46572001e733dfa7771eeed930fb871 /doc/development/iterating_tables_in_batches.md
parent07116000f2e4995de8be756fd43c1e7e63507f90 (diff)
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@@ -61,7 +61,9 @@ In case the column is not unique (no unique index definition), calling the `dist
When dealing with data migrations the preferred way to iterate over large volume of data is using `EachBatch`.
-A special case of data migration is a background migration where the actual data modification is executed in a background job. The migration code that determines the data ranges (slices) and schedules the background jobs uses `each_batch`. More info: [background migration scheduling](background_migrations.md#scheduling)
+A special case of data migration is a [background migration](background_migrations.md#scheduling)
+where the actual data modification is executed in a background job. The migration code that determines
+the data ranges (slices) and schedules the background jobs uses `each_batch`.
## Efficient usage of `each_batch`