[jira] [Resolved] (SPARK-12313) getPartitionsByFilter doesnt handle predicates on all / multiple Partition Columns

["Davies Liu (JIRA)" <ji...@apache.org>]

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

Davies Liu resolved SPARK-12313.
--------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 11328
[https://github.com/apache/spark/pull/11328]

> 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
>            Priority: Critical
>             Fix For: 2.0.0
>
>
> 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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