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https://issues.apache.org/jira/browse/SPARK-2944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14091784#comment-14091784
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Xiangrui Meng commented on SPARK-2944:
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I checked that one first. It was okay after that commit, and it was bad before
this one:
https://github.com/apache/spark/commit/28dbae85aaf6842e22cd7465cb11cb34d58fc56d
I didn't see anything suspicious in between, doing a binary search now ....
> sc.makeRDD doesn't distribute partitions evenly
> -----------------------------------------------
>
> Key: SPARK-2944
> URL: https://issues.apache.org/jira/browse/SPARK-2944
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.1.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Priority: Critical
>
> 16 nodes EC2 cluster:
> {code}
> val rdd = sc.makeRDD(0 until 1e9.toInt, 1000).cache()
> rdd.count()
> {code}
> Saw 156 partitions on one node while only 8 partitions on another.
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