[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
