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https://issues.apache.org/jira/browse/SPARK-6104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14342869#comment-14342869
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Reynold Xin commented on SPARK-6104:
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Yes, large aggregation with auto spilling to disk is on the roadmap for Spark
SQL. I'm going to close the ticket because this ticket is not actionable. I
will have another one tracking this.
cc [~marmbrus]
> spark SQL shuffle OOM
> ---------------------
>
> Key: SPARK-6104
> URL: https://issues.apache.org/jira/browse/SPARK-6104
> Project: Spark
> Issue Type: Improvement
> Affects Versions: 1.2.0
> Reporter: Hong Shen
>
> Currently, spark shuffle can use ExternalAppendOnlyMap to combine data that
> have fetched, but it depend on ShuffleDependency's aggregator, while spark
> SQL's shuffle have not define aggregator, so it will easily cause OOM in
> large scale of data.
> In our cluster, we have used spark SQL, but it often appear OOM, it's hard to
> reset spark.default.parallelism every day. I think we should add aggregator
> for spark SQL shuffle.
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