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Sean Owen commented on SPARK-9042: ---------------------------------- OK, could be. I'm updating this by request from more expert people internally, who might comment here. If it's a slightly different issue we can reopen and alter the description if needed to narrow it down. That said, isn't this a Sentry question, and not Spark? It seems like it either blocks metastore access on purpose, or, can allow the necessary access, in which case it's some config somewhere that needs to be made to allow it. > 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org