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https://issues.apache.org/jira/browse/SPARK-11702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-11702.
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Resolution: Not A Problem
Yes, you've described the situation as it stands and it's on-purpose. You've
described the workaround if you need a different Guava. This is not a bug.
> 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
> Affects Versions: 1.5.1
> Reporter: Joey Paskhay
>
> 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_mpyqfe4dodbnbv9...@mail.gmail.com%3E]
> and its replies.
> The work-around is to add the guava JAR to the "spark.driver.extraClassPath"
> property.
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