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https://issues.apache.org/jira/browse/SPARK-17556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17533157#comment-17533157
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Chris Kimmel commented on SPARK-17556:
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Bumping this. I'm running a large query with over 100,000 tasks. Broadcast
joins are causing Spark to throw an error that says "Total size of serialized
results ... is bigger than spark.driver.maxResultSize".
Setting spark.driver.maxResultSize to 0 doesn't work; the traffic just swamps
my driver node. I tried disabling broadcast joins entirely, but that creates
other problems.
Hopefully someone with the time and knowledge will be able to resolve this
ticket.
> Executor side broadcast for broadcast joins
> -------------------------------------------
>
> Key: SPARK-17556
> URL: https://issues.apache.org/jira/browse/SPARK-17556
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core, SQL
> Reporter: Reynold Xin
> Priority: Major
> Attachments: executor broadcast.pdf, executor-side-broadcast.pdf
>
>
> Currently in Spark SQL, in order to perform a broadcast join, the driver must
> collect the result of an RDD and then broadcast it. This introduces some
> extra latency. It might be possible to broadcast directly from executors.
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