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https://issues.apache.org/jira/browse/SPARK-11798?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15924420#comment-15924420
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Luca Menichetti commented on SPARK-11798:
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I have exactly the same issue, I had to include all datanucleus-* jar manually
with the --jars command when submitting job in cluster mode. With --master
yarn-client everything is working, so apparently these jars are not
automatically imported.
Spark is compiled with Hive profile and version is 1.6.2.
The logs I see are the following:
WARN metastore.HiveMetaStore: Retrying creating default database after error:
Class org.datanucleus.api.jdo.JDOPersistenceManagerFactory was not found.
javax.jdo.JDOFatalUserException: Class
org.datanucleus.api.jdo.JDOPersistenceManagerFactory was not found.
> Datanucleus jars is missing under lib_managed/jars
> --------------------------------------------------
>
> Key: SPARK-11798
> URL: https://issues.apache.org/jira/browse/SPARK-11798
> Project: Spark
> Issue Type: Bug
> Components: Build, SQL
> Reporter: Jeff Zhang
>
> I notice the comments in https://github.com/apache/spark/pull/9575 said that
> Datanucleus related jars will still be copied to lib_managed/jars. But I
> don't see any jars under lib_managed/jars. The weird thing is that I see the
> jars on another machine, but could not see jars on my laptop even after I
> delete the whole spark project and start from scratch. Does it related with
> environments ? I try to add the following code in SparkBuild.scala to track
> the issue, it shows that the jars is empty.
> {code}
> deployDatanucleusJars := {
> val jars: Seq[File] = (fullClasspath in assembly).value.map(_.data)
> .filter(_.getPath.contains("org.datanucleus"))
> // this is what I added
> println("*********************************************")
> println("fullClasspath:"+fullClasspath)
> println("assembly:"+assembly)
> println("jars:"+jars.map(_.getAbsolutePath()).mkString(","))
> //
> {code}
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