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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-12313) getPartitionsByFilter doesnt handle predicates on all / multiple Partition Columns
Date Tue, 23 Feb 2016 21:03:18 GMT

     [ https://issues.apache.org/jira/browse/SPARK-12313?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-12313:
------------------------------------

    Assignee: Apache Spark

> getPartitionsByFilter doesnt handle predicates on all / multiple Partition Columns
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-12313
>                 URL: https://issues.apache.org/jira/browse/SPARK-12313
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.1
>            Reporter: Gobinathan SP
>            Assignee: Apache Spark
>            Priority: Critical
>
> When enabled spark.sql.hive.metastorePartitionPruning, the getPartitionsByFilter is used
> For a table partitioned by p1 and p2, when triggered hc.sql("select col.... from tabl1
where p1='p1V' and p2= 'p2V' ")
> The HiveShim identifies the Predicates and ConvertFilters returns p1='p1V' and col2=
'p2V' . The same is passed to the getPartitionsByFilter method as filter string.
> On these cases the partitions are not returned from Hive's getPartitionsByFilter method.
As a result, for the sql, the number of returned rows is always zero. 
> However, filter on a single column always works. Probalbly  it doesn't come through this
route
> I'm using Oracle for Metstore V0.13.1



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