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https://issues.apache.org/jira/browse/SPARK-12807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15102158#comment-15102158
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Steve Loughran commented on SPARK-12807:
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We can replicate this intermittently. It all depends on classpath ordering in
the NM. If either versions complete set of JARs are loaded first: all is well.
If there's a mix: stack trace.
The ordering can not only break the shuffle and so DRA, it can stop the NM
coming up. This is generally considered a serious issue by ops teams.
> Spark External Shuffle not working in Hadoop clusters with Jackson 2.2.3
> ------------------------------------------------------------------------
>
> Key: SPARK-12807
> URL: https://issues.apache.org/jira/browse/SPARK-12807
> Project: Spark
> Issue Type: Bug
> Components: Shuffle, YARN
> Affects Versions: 1.6.0
> Environment: A Hadoop cluster with Jackson 2.2.3, spark running with
> dynamic allocation enabled
> Reporter: Steve Loughran
> Priority: Critical
>
> When you try to try to use dynamic allocation on a Hadoop 2.6-based cluster,
> you get to see a stack trace in the NM logs, indicating a jackson 2.x version
> mismatch.
> (reported on the spark dev list)
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