You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Chris Kimmel (Jira)" <ji...@apache.org> on 2022/05/06 23:43:00 UTC

[jira] [Commented] (SPARK-17556) Executor side broadcast for broadcast joins

    [ https://issues.apache.org/jira/browse/SPARK-17556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17533157#comment-17533157 ] 

Chris Kimmel commented on SPARK-17556:
--------------------------------------

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.



--
This message was sent by Atlassian Jira
(v8.20.7#820007)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org