[jira] [Resolved] (SPARK-10494) Multiple Python UDFs together with aggregation or sort merge join may cause OOM (failed to acquire memory)

["Michael Armbrust (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-10494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-10494.
--------------------------------------
       Resolution: Fixed
         Assignee: Reynold Xin
    Fix Version/s: 1.5.1

> Multiple Python UDFs together with aggregation or sort merge join may cause OOM (failed to acquire memory)
> ----------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10494
>                 URL: https://issues.apache.org/jira/browse/SPARK-10494
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, SQL
>    Affects Versions: 1.5.0
>            Reporter: Davies Liu
>            Assignee: Reynold Xin
>            Priority: Critical
>             Fix For: 1.5.1
>
>
> The RDD cache for Python UDF is removed in 1.4, then N Python UDFs in one query stage could end up evaluate upstream (SparkPlan) 2^N times.
> In 1.5, If there is aggregation or sort merge join in upstream SparkPlan, they will cause OOM (failed to acquire memory).



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