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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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