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From "Hive QA (JIRA)" <>
Subject [jira] [Commented] (HIVE-14162) Allow disabling of long running job on Hive On Spark On YARN
Date Fri, 11 Nov 2016 03:01:58 GMT


Hive QA commented on HIVE-14162:

Here are the results of testing the latest attachment:

{color:red}ERROR:{color} -1 due to no test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 49 failed/errored test(s), 9992 tests executed
*Failed tests:*
org.apache.hadoop.hive.cli.TestHBaseCliDriver.testCliDriver[hbase_bulk] (batchId=89)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[join_acid_non_acid] (batchId=150)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[union_fast_stats] (batchId=145)
org.apache.hive.jdbc.TestJdbcWithLocalClusterSpark.testSparkQuery (batchId=213)
org.apache.hive.jdbc.TestJdbcWithLocalClusterSpark.testTempTable (batchId=213)
org.apache.hive.jdbc.TestMultiSessionsHS2WithLocalClusterSpark.testSparkQuery (batchId=213)

Test results:
Console output:
Test logs:

Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 49 tests failed

This message is automatically generated.

ATTACHMENT ID: 12838444 - PreCommit-HIVE-Build

> Allow disabling of long running job on Hive On Spark On YARN
> ------------------------------------------------------------
>                 Key: HIVE-14162
>                 URL:
>             Project: Hive
>          Issue Type: New Feature
>          Components: Spark
>            Reporter: Thomas Scott
>            Assignee: Aihua Xu
>            Priority: Minor
>         Attachments: HIVE-14162.1.patch
> Hive On Spark launches a long running process on the first query to handle all queries
for that user session. In some use cases this is not desired, for instance when using Hue
with large intervals between query executions.
> Could we have a property that would cause long running spark jobs to be terminated after
each query execution and started again for the next one?

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