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