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https://issues.apache.org/jira/browse/SPARK-21039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-21039.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18263
[https://github.com/apache/spark/pull/18263]
> Use treeAggregate instead of aggregate in DataFrame.stat.bloomFilter
> --------------------------------------------------------------------
>
> Key: SPARK-21039
> URL: https://issues.apache.org/jira/browse/SPARK-21039
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: Lovasoa
> Fix For: 2.3.0
>
>
> Currently, DataFrame.stat.bloomFilter uses RDD.aggregate, which means that
> the bloom filters received for each partition of data are merged in the
> driver. The cost of this operation can be very high if the bloom filters are
> large. It would be nice if it used RDD.treeAggregate instead, in order to
> parallelize the operation of merging the bloom filters.
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