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https://issues.apache.org/jira/browse/SPARK-2790?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14093133#comment-14093133
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Apache Spark commented on SPARK-2790:
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User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/1894
> PySpark zip() doesn't work properly if RDDs have different serializers
> ----------------------------------------------------------------------
>
> Key: SPARK-2790
> URL: https://issues.apache.org/jira/browse/SPARK-2790
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.0.0, 1.1.0
> Reporter: Josh Rosen
> Assignee: Davies Liu
> Priority: Critical
>
> In PySpark, attempting to {{zip()}} two RDDs may fail if the RDDs have
> different serializers (e.g. batched vs. unbatched), even if those RDDs have
> the same number of partitions and same numbers of elements. This problem
> occurs in the MLlib Python APIs, where we might want to zip a JavaRDD of
> LabelledPoints with a JavaRDD of batch-serialized Python objects.
> This is problematic because whether zip() succeeds or errors depends on the
> partitioning / batching strategy, and we don't want to surface the
> serialization details to users.
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