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https://issues.apache.org/jira/browse/SPARK-983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14080385#comment-14080385
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Matei Zaharia commented on SPARK-983:
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Now that an ExternalSorter class from SPARK-2045 is in, I've submitted a much
smaller PR that reuses that: https://github.com/apache/spark/pull/1677. Thanks
both [~msiddalingaiah] and [~andrew xia] for your previous patches on this.
> Support external sorting for RDD#sortByKey()
> --------------------------------------------
>
> Key: SPARK-983
> URL: https://issues.apache.org/jira/browse/SPARK-983
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Affects Versions: 0.9.0
> Reporter: Reynold Xin
> Priority: Critical
>
> Currently, RDD#sortByKey() is implemented by a mapPartitions which creates a
> buffer to hold the entire partition, then sorts it. This will cause an OOM if
> an entire partition cannot fit in memory, which is especially problematic for
> skewed data. Rather than OOMing, the behavior should be similar to the
> [ExternalAppendOnlyMap|https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/collection/ExternalAppendOnlyMap.scala],
> where we fallback to disk if we detect memory pressure.
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