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https://issues.apache.org/jira/browse/SPARK-6321?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-6321.
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Resolution: Won't Fix
I'm going to resolve this specific issue as "Won't Fix." While we do plan to do
some form of dynamic selection of parallelism, I think that it is more likely
to be driven by the size / characteristics of the input data. If you search
JIRA you'll be able to find newer tickets describing some 1.6.0-targeted
proposals for this.
> Adapt the number of partitions used by the Exchange rule to the cluster
> specifications
> --------------------------------------------------------------------------------------
>
> Key: SPARK-6321
> URL: https://issues.apache.org/jira/browse/SPARK-6321
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.3.1
> Reporter: Óscar Puertas
>
> Currently, the exchange rule is using a default value of 200 fixed
> partitions. In my opinion, it would be nice if we can set that default value
> to something more related to the cluster specifications instead of a magic
> number.
> My proposal is to use the default.parallelism value in the Spark
> configuration.
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