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Posted to issues@spark.apache.org by "Guoqiang Li (JIRA)" <ji...@apache.org> on 2015/04/04 04:55:33 UTC

[jira] [Commented] (SPARK-3625) In some cases, the RDD.checkpoint does not work

    [ https://issues.apache.org/jira/browse/SPARK-3625?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14395492#comment-14395492 ] 

Guoqiang Li commented on SPARK-3625:
------------------------------------

When we run the machine learning and graph algorithms, this feature is very necessary, I think we should merge this PR 2480  to master .

> In some cases, the RDD.checkpoint does not work
> -----------------------------------------------
>
>                 Key: SPARK-3625
>                 URL: https://issues.apache.org/jira/browse/SPARK-3625
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 1.0.2, 1.1.0
>            Reporter: Guoqiang Li
>            Assignee: Guoqiang Li
>
> The reproduce code:
> {code}
>     sc.setCheckpointDir(checkpointDir)
>     val c = sc.parallelize((1 to 1000)).map(_ + 1)
>     c.count
>     val dep = c.dependencies.head.rdd
>     c.checkpoint()
>     c.count
>     assert(dep != c.dependencies.head.rdd)
> {code}
> This limit is too strict , This makes it difficult to implement SPARK-3623 .



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