[SPARK-48292][CORE][3.4] Revert [SPARK-39195][SQL] Spark OutputCommitCoordinator should abort stage when committed file not consistent with task status#47168
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…inator should abort stage when committed file not consistent with task status Revert apache#36564 According to discuss apache#36564 (comment) When spark commit task will commit to committedTaskPath `${outputpath}/_temporary//${appAttempId}/${taskId}` So in apache#36564 's case, since before apache#38980, each task's job id's date is not the same, when the task writes data success but fails to send back TaskSuccess RPC, the task rerun will commit to a different committedTaskPath then causing data duplicated. After apache#38980, for the same task's different attempts, the TaskId is the same now, when re-run task commit, will commit to the same committedTaskPath, and hadoop CommitProtocol will handle such case then data won't be duplicated. Note: The taskAttemptPath is not same since in the path contains the taskAttemptId. No need anymore No Existed UT No Closes apache#46696 from AngersZhuuuu/SPARK-48292. Authored-by: Angerszhuuuu <angers.zhu@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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cc @AngersZhuuuu , @viirya , @cloud-fan , @huaxingao |
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LGTM. Thanks for the PR @dongjoon-hyun
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Thank you, @huaxingao and @viirya . |
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…Coordinator should abort stage when committed file not consistent with task status This is a backport of #46696 ### What changes were proposed in this pull request? Revert #36564 According to discuss #36564 (comment) When spark commit task will commit to committedTaskPath `${outputpath}/_temporary//${appAttempId}/${taskId}` So in #36564 's case, since before #38980, each task's job id's date is not the same, when the task writes data success but fails to send back TaskSuccess RPC, the task rerun will commit to a different committedTaskPath then causing data duplicated. After #38980, for the same task's different attempts, the TaskId is the same now, when re-run task commit, will commit to the same committedTaskPath, and hadoop CommitProtocol will handle such case then data won't be duplicated. Note: The taskAttemptPath is not same since in the path contains the taskAttemptId. ### Why are the changes needed? No need anymore ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Existed UT ### Was this patch authored or co-authored using generative AI tooling? No Closes #47168 from dongjoon-hyun/SPARK-48292-3.4. Authored-by: Angerszhuuuu <angers.zhu@gmail.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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This is a backport of #46696
What changes were proposed in this pull request?
Revert #36564 According to discuss #36564 (comment)
When spark commit task will commit to committedTaskPath
${outputpath}/_temporary//${appAttempId}/${taskId}So in #36564 's case, since before #38980, each task's job id's date is not the same, when the task writes data success but fails to send back TaskSuccess RPC, the task rerun will commit to a different committedTaskPath then causing data duplicated.
After #38980, for the same task's different attempts, the TaskId is the same now, when re-run task commit, will commit to the same committedTaskPath, and hadoop CommitProtocol will handle such case then data won't be duplicated.
Note: The taskAttemptPath is not same since in the path contains the taskAttemptId.
Why are the changes needed?
No need anymore
Does this PR introduce any user-facing change?
No
How was this patch tested?
Existed UT
Was this patch authored or co-authored using generative AI tooling?
No