[
https://issues.apache.org/jira/browse/SPARK-21039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16045650#comment-16045650
]
Apache Spark commented on SPARK-21039:
--------------------------------------
User 'rishabhbhardwaj' has created a pull request for this issue:
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
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
