Github user ankurdave commented on the pull request:
https://github.com/apache/spark/pull/1297#issuecomment-110616280
It does send all keys to all partitions, because `ksByPartition` is
referenced in the closure passed to `context.runJob` and so is shipped in full
to all partitions. On the other hand, `multiput` creates an RDD out of the keys
and then repartitions that RDD, causing Spark to handle the data movement and
avoiding this behavior.
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