In parallel with updating being single dating

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When a primary shard forwards changes to its replica shards, it doesn’t forward the update request.

Instead it forwards the new version of the full document.

Use the Parallel Loop pattern when you need to perform the same independent operation for each element of a collection or for a fixed number of iterations.

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SQL ----------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ----------------------------------------------------------------------------------------------- | 0 | UPDATE STATEMENT | | 4999 | 185K| 30013 (34)| | | 1 | UPDATE | dest_tab | | | | | | 2 | NESTED LOOPS SEMI | | 4999 | 185K| 19 (6)| | | 3 | TABLE ACCESS FULL | dest_tab | 10000 | 332K| 18 (0)| | |* 4 | INDEX UNIQUE SCAN | source_tab_PK | 2500 | 10000 | 0 (0)| | | 5 | TABLE ACCESS BY INDEX ROWID| source_tab | 1 | 43 | 2 (0)| | |* 6 | INDEX UNIQUE SCAN | source_tab_PK | 1 | | 1 (0)| | ----------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 4 - access("ID"="TT"."ID") 6 - access("ST"."ID"=: B1) UPDATE (SELECT tt.id, tt.code, tt.description, AS st_code, st.description AS st_description FROM dest_tab tt, source_tab st WHERE = st.id) ilv SET = ilv.st_code, ilv.description = ilv.st_description; 5000 rows updated.

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Remember that these changes are forwarded to the replica shards asynchronously, and there is no guarantee that they will arrive in the same order that they were sent.

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