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https://issues.apache.org/jira/browse/SPARK-7819?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14566377#comment-14566377
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Fi commented on SPARK-7819:
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FYI, seems to work on a basic test, thanks!
However, I am running into a Out of PermGen space error on other tests further
down in the same process.
I'll try increasing the memory settings in the JVM OPTS to see if it goes away.
Hopefully it's not due to some sort of a resource leak, but simply because more
classes need to be kept in memory now.
Fi
> Isolated Hive Client Loader appears to cause Native Library
> libMapRClient.4.0.2-mapr.so already loaded in another classloader error
> -----------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-7819
> URL: https://issues.apache.org/jira/browse/SPARK-7819
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: Fi
> Priority: Critical
> Attachments: stacktrace.txt, test.py
>
>
> In reference to the pull request: https://github.com/apache/spark/pull/5876
> I have been running the Spark 1.3 branch for some time with no major hiccups,
> and recently switched to the Spark 1.4 branch.
> I build my spark distribution with the following build command:
> {noformat}
> make-distribution.sh --tgz --skip-java-test --with-tachyon -Phive
> -Phive-0.13.1 -Pmapr4 -Pspark-ganglia-lgpl -Pkinesis-asl -Phive-thriftserver
> {noformat}
> When running a python script containing a series of smoke tests I use to
> validate the build, I encountered an error under the following conditions:
> * start a spark context
> * start a hive context
> * run any hive query
> * stop the spark context
> * start a second spark context
> * run any hive query
> ** ERROR
> From what I can tell, the Isolated Class Loader is hitting a MapR class that
> is loading its native library (presumedly as part of a static initializer).
> Unfortunately, the JVM prohibits this the second time around.
> I would think that shutting down the SparkContext would clear out any
> vestigials of the JVM, so I'm surprised that this would even be a problem.
> Note: all other smoke tests we are running passes fine.
> I will attach the stacktrace and a python script reproducing the issue (at
> least for my environment and build).
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