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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, 03 Aug 2018 17:00:00 GMT


Hive QA commented on HIVE-14162:

Here are the results of testing the latest attachment:

{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 14862 tests executed
*Failed tests:*
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[parallel_orderby] (batchId=57)
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druid_timestamptz] (batchId=193)
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druidmini_joins] (batchId=193)
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druidmini_masking] (batchId=193)
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[druidmini_test1] (batchId=193)

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.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 5 tests failed

This message is automatically generated.

ATTACHMENT ID: 12934264 - PreCommit-HIVE-Build

> Allow disabling of long running job on Hive On Spark On YARN
> ------------------------------------------------------------
>                 Key: HIVE-14162
>                 URL:
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Thomas Scott
>            Assignee: Sahil Takiar
>            Priority: Major
>         Attachments: HIVE-14162.1.patch, HIVE-14162.2.patch, HIVE-14162.3.patch, HIVE-14162.4.patch,
HIVE-14162.5.patch, HIVE-14162.6.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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