[jira] [Updated] (SPARK-14172) Hive table partition predicate not passed down correctly

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-14172:
---------------------------------
    Labels: bulk-closed  (was: )

> Hive table partition predicate not passed down correctly
> --------------------------------------------------------
>
>                 Key: SPARK-14172
>                 URL: https://issues.apache.org/jira/browse/SPARK-14172
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.1
>            Reporter: Yingji Zhang
>            Priority: Critical
>              Labels: bulk-closed
>
> When the hive sql contains nondeterministic fields,  spark plan will not push down the partition predicate to the HiveTableScan. For example:
> {code}
> -- consider following query which uses a random function to sample rows
> SELECT *
> FROM table_a
> WHERE partition_col = 'some_value'
> AND rand() < 0.01;
> {code}
> The spark plan will not push down the partition predicate to HiveTableScan which ends up scanning all partitions data from the table.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org