[jira] [Resolved] (SPARK-21140) Reduce collect high memory requrements

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-21140.
-------------------------------
    Resolution: Invalid

There's no real detail here. Executor memory doesn't directly matter to how much data you can collect on the driver. Of course, collecting half-gig partitions to a driver is going to fail with even 1 partition, because that's about the default size of the driver memory.

This should start as a question on a mailing list.

> Reduce collect high memory requrements
> --------------------------------------
>
>                 Key: SPARK-21140
>                 URL: https://issues.apache.org/jira/browse/SPARK-21140
>             Project: Spark
>          Issue Type: Improvement
>          Components: Input/Output
>    Affects Versions: 2.1.1
>         Environment: Linux Debian 8 using hadoop 2.7.2.
>            Reporter: michael procopio
>
> I wrote a very simple Scala application which used flatMap to create an RDD containing a 512 mb partition of 256 byte arrays.  Experimentally, I determined that spark.executor.memory had to be set at 3 gb in order to colledt the data.  This seems extremely high.



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