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https://issues.apache.org/jira/browse/HIVE-15272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Vikash Pareek updated HIVE-15272:
---------------------------------
Description:
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.
was:
Following query is populating different result every time I ran with Hive on
Spark:
{code}
SELECT COUNT(*)
FROM
(SELECT DISTINCT mt1.name,
mt1.id
FROM
(SELECT mt1.*,
mt2.region,
mt2.,
regexp_replace(mt2.tr_dat,"\\.","") AS TRANSACTION_DATE
FROM my_database.my_table1 mt1
LEFT OUTER JOIN my_database.my_table2 mt2 ON (mt1.id=mt2.id
AND mt1.name =
mt2.name))t6)A;
{code}
But the same query populating same result with Hive on MapReduce every time.
> "LEFT OUTER JOIN" Is not populating different 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.
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