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https://issues.apache.org/jira/browse/HIVE-15121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15646375#comment-15646375
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Hive QA commented on HIVE-15121:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12837877/HIVE-15121.1.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 10628 tests
executed
*Failed tests:*
{noformat}
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.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_2]
(batchId=91)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/2015/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/2015/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-2015/
Messages:
{noformat}
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: 3 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12837877 - PreCommit-HIVE-Build
> Last MR job in Hive should be able to write to a different scratch directory
> ----------------------------------------------------------------------------
>
> Key: HIVE-15121
> URL: https://issues.apache.org/jira/browse/HIVE-15121
> Project: Hive
> Issue Type: Sub-task
> Components: Hive
> Reporter: Sahil Takiar
> Assignee: Sahil Takiar
> Attachments: HIVE-15121.1.patch, HIVE-15121.WIP.1.patch,
> HIVE-15121.WIP.2.patch, HIVE-15121.WIP.patch, HIVE-15121.patch
>
>
> Hive should be able to configure all intermediate MR jobs to write to HDFS,
> but the final MR job to write to S3.
> This will be useful for implementing parallel renames on S3. The idea is that
> for a mutli-job query, all intermediate MR jobs write to HDFS, and then the
> final job writes to S3. Writing to HDFS should be faster than writing to S3,
> so it makes more sense to write intermediate data to HDFS.
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