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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2016/06/27 23:02:57 UTC

[jira] [Commented] (SPARK-15621) BatchEvalPythonExec fails with OOM

    [ https://issues.apache.org/jira/browse/SPARK-15621?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352004#comment-15352004 ] 

Davies Liu commented on SPARK-15621:
------------------------------------

The number of rows in the queue will bounded by the number of values in input/output buffer of Python process together with some buffered Python process (under processing), so it's not exactly unbounded.

Do you have a way to reproduce the issue?

> BatchEvalPythonExec fails with OOM
> ----------------------------------
>
>                 Key: SPARK-15621
>                 URL: https://issues.apache.org/jira/browse/SPARK-15621
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.0
>            Reporter: Krisztian Szucs
>            Priority: Critical
>
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/python/BatchEvalPythonExec.scala#L40
> No matter what the queue grows unboundedly and fails with OOM, even with identity `lambda x: x` udf function.



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