[jira] [Updated] (HIVE-15272) "LEFT OUTER JOIN" Is not populating correct records with Hive On Spark

["Vikash Pareek (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HIVE-15272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Vikash Pareek updated HIVE-15272:
---------------------------------
    Summary: "LEFT OUTER JOIN" Is not populating correct records with Hive On Spark  (was: "LEFT OUTER JOIN" Is not populating different records with Hive On Spark)

> "LEFT OUTER JOIN" Is not populating correct records with Hive On Spark
> ----------------------------------------------------------------------
>
>                 Key: HIVE-15272
>                 URL: https://issues.apache.org/jira/browse/HIVE-15272
>             Project: Hive
>          Issue Type: Bug
>          Components: Hive, Spark
>    Affects Versions: 1.1.0
>         Environment: Hive 1.1.0, CentOS, Cloudera 5.7.4
>            Reporter: Vikash Pareek
>
> I ran following Hive query multiple times with execution engine as Hive on Spark and Hive on MapReduce.
> {code}
> SELECT COUNT(DISTINCT t1.region, t1.amount)
> FROM my_db.my_table1 t1
> LEFT OUTER
> JOIN my-db.my_table2 t2 ON (t1.id = t2.id
>                             AND t1.name = t2.name)
> {code}
> With Hive on Spark: Result (count) were different of every execution.
> With Hive on MapReduce: Result (count) were same of every execution.
> Seems like Hive on Spark behaving differently in each execution and does not populating correct result.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)