[jira] [Commented] (SPARK-4019) Repartitioning with more than 2000 partitions may drop all data when partitions are mostly empty.

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14177809#comment-14177809 ] 

Apache Spark commented on SPARK-4019:
-------------------------------------

User 'JoshRosen' has created a pull request for this issue:
https://github.com/apache/spark/pull/2866

> Repartitioning with more than 2000 partitions may drop all data when partitions are mostly empty.
> -------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-4019
>                 URL: https://issues.apache.org/jira/browse/SPARK-4019
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.2.0
>            Reporter: Xiangrui Meng
>            Assignee: Josh Rosen
>            Priority: Blocker
>
> {code}
> sc.makeRDD(0 until 10, 1000).repartition(2001).collect()
> {code}
> returns `Array()`.
> 1.1.0 doesn't have this issue. Tried both HASH and SORT manager.



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