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https://issues.apache.org/jira/browse/SPARK-8008?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14568125#comment-14568125
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Michael Armbrust commented on SPARK-8008:
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After talking more off-line with [~rxin] it does seem like unioning of many
smaller partitions (effectively serializing a bunch of smaller loads and then
combining them) is also pretty reasonable approach. Would be awesome if you
could report back on your partition count experiments and add this and a
description of your other workaround to this ticket! Then we can try and build
one of them into the datasource natively.
> 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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