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https://issues.apache.org/jira/browse/SPARK-560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14309723#comment-14309723
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Reynold Xin commented on SPARK-560:
-----------------------------------
We should close this one. It is much easier to do with DataFrame, and we will
just make DataFrame optimized for this.
> Specialize RDDs / iterators
> ---------------------------
>
> Key: SPARK-560
> URL: https://issues.apache.org/jira/browse/SPARK-560
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Reporter: Matei Zaharia
>
> When you're working on in-memory data, the overhead of boxing / unboxing
> starts to matter, and it looks like specializing would give a 2-4x speedup.
> We can't just throw in @specialized though because Scala's Iterator is not
> specialized. We probably need to make our own and also ensure that the right
> methods get called remotely when you have a chain of RDDs (i.e. it doesn't
> "lose" its specialization).
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