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