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https://issues.apache.org/jira/browse/SPARK-7339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu updated SPARK-7339:
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Assignee: Weizhong
> PySpark shuffle spill memory sometimes are not correct
> ------------------------------------------------------
>
> Key: SPARK-7339
> URL: https://issues.apache.org/jira/browse/SPARK-7339
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 1.3.1
> Reporter: Weizhong
> Assignee: Weizhong
> Priority: Minor
>
> In PySpark we get memory used before and after spill, then use the difference
> of these two value as memorySpilled, but if the before value is small than
> after value, then we will get a negative value, but this scenario 0 value may
> be more reasonable.
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