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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-5499) iterative computing with 1000 iterations causes stage failure
Date Fri, 30 Jan 2015 13:07:34 GMT

    [ https://issues.apache.org/jira/browse/SPARK-5499?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14298602#comment-14298602
] 

Sean Owen commented on SPARK-5499:
----------------------------------

I think it's expected behavior, in the sense that you have created a lineage of 1000 RDDs.
You would want to break the lineage at some point with a call to persist().

> iterative computing with 1000 iterations causes stage failure
> -------------------------------------------------------------
>
>                 Key: SPARK-5499
>                 URL: https://issues.apache.org/jira/browse/SPARK-5499
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.2.0
>            Reporter: Tien-Dung LE
>
> I got an error "org.apache.spark.SparkException: Job aborted due to stage failure: Task
serialization failed: java.lang.StackOverflowError" when executing an action with 1000 transformations.
> Here is a code snippet to re-produce the error:
>   import org.apache.spark.rdd.RDD
>   var pair: RDD[(Long,Long)] = sc.parallelize(Array((1L,2L)))
>     var newPair: RDD[(Long,Long)] = null
>     for (i <- 1 to 1000) {
>       newPair = pair.map(_.swap)
>       pair = newPair
>     }
>     println("Count = " + pair.count())



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