[
https://issues.apache.org/jira/browse/SPARK-560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nicholas Chammas updated SPARK-560:
-----------------------------------
Component/s: Spark Core
> 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).
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
