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https://issues.apache.org/jira/browse/SPARK-9042?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15060219#comment-15060219
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Charmee Patel commented on SPARK-9042:
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Yes, we can take it back to cloudera land. I will follow up on that
separately.
However, I do not believe we had an hdfs access issue. We could read the
data fine. We could see our queries write into temp directories under the
table fine as well. After all data was written to temp location our process
failed because Hive Metastore rejected changes to partitions.
> Spark SQL incompatibility if security is enforced on the Hive warehouse
> -----------------------------------------------------------------------
>
> Key: SPARK-9042
> URL: https://issues.apache.org/jira/browse/SPARK-9042
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.2.0
> Reporter: Nitin Kak
>
> Hive queries executed from Spark using HiveContext use CLI to create the
> query plan and then access the Hive table directories(under
> /user/hive/warehouse/) directly. This gives AccessContolException if Apache
> Sentry is installed:
> org.apache.hadoop.security.AccessControlException: Permission denied:
> user=kakn, access=READ_EXECUTE,
> inode="/user/hive/warehouse/mastering.db/sample_table":hive:hive:drwxrwx--t
> With Apache Sentry, only "hive" user(created only for Sentry) has the
> permissions to access the hive warehouse directory. After Sentry
> installations all the queries are directed to HiveServer2 which translates
> the changes the invoking user to "hive" and then access the hive warehouse
> directory. However, HiveContext does not execute the query through
> HiveServer2 which is leading to the issue. Here is an example of executing
> hive query through HiveContext.
> val hqlContext = new HiveContext(sc) // Create context to run Hive queries
> val pairRDD = hqlContext.sql(hql) // where hql is the string with hive query
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