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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/07/01 22:44:10 UTC
[jira] [Commented] (SPARK-16349) IsolatedClientLoader ignores
needed Hadoop classes not present in Spark's loader
[ https://issues.apache.org/jira/browse/SPARK-16349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15359774#comment-15359774 ]
Apache Spark commented on SPARK-16349:
--------------------------------------
User 'vanzin' has created a pull request for this issue:
https://github.com/apache/spark/pull/14020
> IsolatedClientLoader ignores needed Hadoop classes not present in Spark's loader
> --------------------------------------------------------------------------------
>
> Key: SPARK-16349
> URL: https://issues.apache.org/jira/browse/SPARK-16349
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Reporter: Marcelo Vanzin
>
> While trying to use a custom classpath for metastore jars (spark.sql.hive.metastore.jars pointing at some filesystem path), I ran into the following issue:
> {noformat}
> java.lang.ClassNotFoundException: java.lang.NoClassDefFoundError: org/apache/hadoop/mapred/MRVersion when creating Hive client using classpath
> {noformat}
> The issue here is that {{MRVersion}} is not packaged anywhere with Spark, and the code in {{IsolatedClientLoader}} only ever tries the parent class loader when loading hadoop classes in this configuration. So even though I had the class in the list of files in {{spark.sql.hive.metastore.jars}}, Spark never tries to load it.
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