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https://issues.apache.org/jira/browse/SPARK-5499?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14298608#comment-14298608
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Tien-Dung LE commented on SPARK-5499:
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Thanks Sean Owen for your comment.
Calling persist() or cache() does not help. Did you mean to call checkpoint() ?
> 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:
> {code}
> 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())
> {code}
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