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https://issues.apache.org/jira/browse/SPARK-8048?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14580395#comment-14580395
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Josiah Samuel Sathiadass commented on SPARK-8048:
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Often constructing a HashPartitioner with "0" may not be intentional.
So instead of a fall through, consider making the call to fail with an
exception.
> Explicit partitionning of an RDD with 0 partition will yield empty outer join
> -----------------------------------------------------------------------------
>
> Key: SPARK-8048
> URL: https://issues.apache.org/jira/browse/SPARK-8048
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.3.1
> Reporter: Olivier Toupin
> Priority: Minor
>
> Check this code =>
> https://gist.github.com/anonymous/0f935915f2bc182841f0
> Because of this => {{.partitionBy(new HashPartitioner(0))}}
> The join will return empty result.
> Here a normal expected behaviour would the join to crash, cause error, or to
> return unjoined results, but instead will yield an empty RDD.
> This a trivial exemple, but imagine:
> {{.partitionBy(new HashPartitioner(previous.partitions.length))}}.
> You join on an empty "previous" rdd, the lookup table is empty, Spark will
> you lose all your results, instead of returning unjoined results, and this
> without warnings or errors.
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