[
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 .
--
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
