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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:03:08 UTC
[jira] [Updated] (SPARK-21143) Fail to fetch blocks >1MB in size in
presence of conflicting Netty version
[ https://issues.apache.org/jira/browse/SPARK-21143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-21143:
---------------------------------
Labels: bulk-closed (was: )
> 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
> Labels: bulk-closed
>
> 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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