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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/06/01 23:29:19 UTC

[jira] [Commented] (SPARK-8008) JDBC data source can overload the external database system due to high concurrency

    [ https://issues.apache.org/jira/browse/SPARK-8008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14568047#comment-14568047 ] 

Michael Armbrust commented on SPARK-8008:
-----------------------------------------

Out of curiosity, if you are not caching and going directly into a shuffle, is this actually bad for memory consumption?  Do we not stream into the shuffle files?

> JDBC data source can overload the external database system due to high concurrency
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-8008
>                 URL: https://issues.apache.org/jira/browse/SPARK-8008
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Rene Treffer
>
> Spark tries to load as many partitions as possible in parallel, which can in turn overload the database although it would be possible to load all partitions given a lower concurrency.
> It would be nice to either limit the maximum concurrency or to at least warn about this behavior.



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