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https://issues.apache.org/jira/browse/SPARK-21143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16054592#comment-16054592
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Shixiong Zhu commented on SPARK-21143:
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As Netty is so core to Spark, it's too risky to upgrade from 4.0.X to 4.1.X.
There is no plan right now.
> Fail to fetch blocks >1MB in size in presence of conflicting Netty version
> --------------------------------------------------------------------------
>
> Key: SPARK-21143
> URL: https://issues.apache.org/jira/browse/SPARK-21143
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: Ryan Williams
> Priority: Minor
>
> One of my spark libraries inherited a transitive-dependency on Netty
> 4.1.6.Final (vs. Spark's 4.0.42.Final), and I observed a strange failure I
> wanted to document: fetches of blocks larger than 1MB (pre-compression,
> afaict) seem to trigger a code path that results in {{AbstractMethodError}}'s
> and ultimately stage failures.
> I put a minimal repro in [this github
> repo|https://github.com/ryan-williams/spark-bugs/tree/netty]: {{collect}} on
> a 1-partition RDD with 1032 {{Array\[Byte\]}}'s of size 1000 works, but at
> 1033 {{Array}}'s it dies in a confusing way.
> Not sure what fixing/mitigating this in Spark would look like, other than
> defensively shading+renaming netty.
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