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https://issues.apache.org/jira/browse/SPARK-8893?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14618402#comment-14618402
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Apache Spark commented on SPARK-8893:
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User 'darabos' has created a pull request for this issue:
https://github.com/apache/spark/pull/7285
> Require positive partition counts in RDD.repartition
> ----------------------------------------------------
>
> Key: SPARK-8893
> URL: https://issues.apache.org/jira/browse/SPARK-8893
> Project: Spark
> Issue Type: Improvement
> Affects Versions: 1.4.0
> Reporter: Daniel Darabos
> Priority: Trivial
>
> What does {{sc.parallelize(1 to 3).repartition(p).collect}} return? I would
> expect {{Array(1, 2, 3)}} regardless of {{p}}. But if {{p}} < 1, it returns
> {{Array()}}. I think instead it should throw an {{IllegalArgumentException}}.
> I think the case is pretty clear for {{p}} < 0. But the behavior for {{p}} =
> 0 is also error prone. In fact that's how I found this strange behavior. I
> used {{rdd.repartition(a/b)}} with positive {{a}} and {{b}}, but {{a/b}} was
> rounded down to zero and the results surprised me. I'd prefer an exception
> instead of unexpected (corrupt) results.
> I'm happy to send a pull request for this.
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