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https://issues.apache.org/jira/browse/SPARK-29037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16928375#comment-16928375
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feiwang commented on SPARK-29037:
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If we set spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version=2, it
seems that we can avoid duplicate result.
> [Core] Spark gives duplicate result when an application was killed and rerun
> ----------------------------------------------------------------------------
>
> Key: SPARK-29037
> URL: https://issues.apache.org/jira/browse/SPARK-29037
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.0, 2.3.3
> Reporter: feiwang
> Priority: Major
> Attachments: screenshot-1.png
>
>
> When we insert overwrite a partition of table.
> For a stage, whose tasks commit output, a task saves output to a staging dir
> firstly, when this task complete, it will save output to committedTaskPath,
> when all tasks of this stage success, all task output under committedTaskPath
> will be moved to destination dir.
> However, when we kill an application, which is committing tasks' output,
> parts of tasks' results will be kept in committedTaskPath, which would not be
> cleared gracefully.
> Then we rerun this application and the new application will reuse this
> committedTaskPath dir.
> And when the task commit stage of new application success, all task output
> under this committedTaskPath, which contains parts of old application's task
> output , would be moved to destination dir and the result is duplicated.
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