[jira] [Updated] (SPARK-7819) Isolated Hive Client Loader appears to cause Native Library libMapRClient.4.0.2-mapr.so already loaded in another classloader error

["Fi (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7819?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Fi updated SPARK-7819:
----------------------
    Attachment: invalidClassException.log

> 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: invalidClassException.log, 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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