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https://issues.apache.org/jira/browse/SPARK-8666?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Glenn Strycker closed SPARK-8666.
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> checkpointing does not take advantage of persisted/cached RDDs
> --------------------------------------------------------------
>
> Key: SPARK-8666
> URL: https://issues.apache.org/jira/browse/SPARK-8666
> Project: Spark
> Issue Type: New Feature
> Reporter: Glenn Strycker
>
> I have been noticing that when checkpointing RDDs, all operations are
> occurring TWICE.
> For example, when I run the following code and watch the stages...
> {noformat}
> val newRDD = prevRDD.map(a => (a._1,
> 1L)).distinct.persist(StorageLevel.MEMORY_AND_DISK_SER)
> newRDD.checkpoint
> print(newRDD.count())
> {noformat}
> I see distinct and count operations appearing TWICE, and shuffle disk writes
> and reads (from the distinct) occurring TWICE.
> My newRDD is persisted to memory, why can't the checkpoint simply save those
> partitions to disk when the first operations have completed?
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