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https://issues.apache.org/jira/browse/SPARK-15060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16370637#comment-16370637
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Anil Villait commented on SPARK-15060:
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Is there a workaround to this problem by increasing the stack or heap size ?
> Fix stack overflow when executing long lineage transform without checkpoint
> ---------------------------------------------------------------------------
>
> Key: SPARK-15060
> URL: https://issues.apache.org/jira/browse/SPARK-15060
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 1.5.2, 1.6.1, 2.0.0
> Reporter: Zheng Tan
> Priority: Major
>
> When executing long linage rdd transform, it is easy to get stack overflow
> exception in driver end. This can be reproduced by the following example:
> var rdd = sc.makeRDD(1 to 10, 10)
> for (_ <- 1 to 1000) {
> rdd = rdd.map(x => x)
> }
> rdd.reduce(_ + _)
> SPARK-5955 solve this problem by checkpointing rdd for every 10~20 rounds. It
> is not so convenient since it required checkpointing data to HDFS.
> Another solution is cutting off the recursive rdd dependencies in driver end
> and re-assembly them in executor end.
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