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https://issues.apache.org/jira/browse/SPARK-1122?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-1122.
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Resolution: Won't Fix
You can also accomplish this with {{mapPartitions}} and simply convert the
{{Iterator}} you get for each partition into an {{Array}}.
> Collect the RDD and send to each partition to form a new RDD
> ------------------------------------------------------------
>
> Key: SPARK-1122
> URL: https://issues.apache.org/jira/browse/SPARK-1122
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Reporter: Shuo Xiang
> Priority: Minor
>
> Two methods (allCollect, allCollectBroadcast) are added to RDD[T], which
> output a new RDD[Array[T]] instance with each partition containing all of the
> records of the original RDD stored in a single Array[T] instance (the
> same as RDD.collect). This functionality can be useful in machine learning
> tasks that require sharing updated parameters across partitions.
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