[jira] [Resolved] (SPARK-11702) Guava ClassLoading Issue When Using Different Hive Metastore Version

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

     [ https://issues.apache.org/jira/browse/SPARK-11702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Marcelo Vanzin resolved SPARK-11702.
------------------------------------
    Resolution: Cannot Reproduce

Pretty sure this does not happen in the 2.x line.

> Guava ClassLoading Issue When Using Different Hive Metastore Version
> --------------------------------------------------------------------
>
>                 Key: SPARK-11702
>                 URL: https://issues.apache.org/jira/browse/SPARK-11702
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.5.1
>            Reporter: Joey Paskhay
>            Priority: Major
>
> A Guava classloading error can occur when using a different version of the Hive metastore.
> Running the latest version of Spark at this time (1.5.1) and patched versions of Hadoop 2.2.0 and Hive 1.0.0. We set "spark.sql.hive.metastore.version" to "1.0.0" and "spark.sql.hive.metastore.jars" to "<path_to_hive>/lib/*:<output_of_hadoop_classpath_cmd>". When trying to launch the spark-shell, the sqlContext would fail to initialize with:
> {code}
> java.lang.ClassNotFoundException: java.lang.NoClassDefFoundError: com/google/common/base/Predicate when creating Hive client using classpath: <all the jars>
> Please make sure that jars for your version of hive and hadoop are included in the paths passed to SQLConfEntry(key = spark.sql.hive.metastore.jars, defaultValue=builtin, doc=...
> {code}
> We verified the Guava libraries are in the huge list of the included jars, but we saw that in the org.apache.spark.sql.hive.client.IsolatedClientLoader.isSharedClass method it seems to assume that *all* "com.google" (excluding "com.google.cloud") classes should be loaded from the base class loader. The Spark libraries seem to have *some* "com.google.common.base" classes shaded in but not all.
> See [https://mail-archives.apache.org/mod_mbox/spark-user/201511.mbox/%3CCAB51Vx4ipV34e=EiSHLg7BZLdm0uefD_MpyqfE4dodbnbv9MKg@mail.gmail.com%3E] and its replies.
> The work-around is to add the guava JAR to the "spark.driver.extraClassPath" and "spark.executor.extraClassPath" properties.



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