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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:22:09 UTC
[jira] [Updated] (SPARK-12313) getPartitionsByFilter doesnt handle
predicates on all / multiple Partition Columns
[ https://issues.apache.org/jira/browse/SPARK-12313?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-12313:
---------------------------------
Labels: bulk-closed (was: )
> 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: Harsh Gupta
> Priority: Critical
> Labels: bulk-closed
>
> 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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