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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-15038) Add ability to do broadcasts in SQL at execution time
Date Wed, 18 May 2016 20:40:13 GMT

     [ https://issues.apache.org/jira/browse/SPARK-15038?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-15038:
------------------------------------

    Assignee: Apache Spark

> Add ability to do broadcasts in SQL at execution time
> -----------------------------------------------------
>
>                 Key: SPARK-15038
>                 URL: https://issues.apache.org/jira/browse/SPARK-15038
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 1.6.1
>            Reporter: Patrick Woody
>            Assignee: Apache Spark
>
> Currently the auto broadcasting done in SparkSQL is asynchronous and done at query planning
time. If you have a large query with many broadcasts, this can end up creating a large amount
of memory pressure/possible OOMs all at once when it actually isn't necessary.
> The current workaround for these types of queries is to disable broadcast joins, which
can be prohibitive performance wise. The proposal for this ticket is to allow a config point
to toggle doing these broadcasts either eagerly/asynchronously or doing the broadcasts lazily
at execution time.



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