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https://issues.apache.org/jira/browse/HIVE-7527?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14085961#comment-14085961
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Hive QA commented on HIVE-7527:
-------------------------------
{color:red}Overall{color}: -1 at least one tests failed
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12659822/HIVE-7527.2-spark.patch
{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 5826 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_fs_default_name2
org.apache.hive.jdbc.miniHS2.TestHiveServer2.testConnection
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/12/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/12/console
Test logs:
http://ec2-54-176-176-199.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-12/
Messages:
{noformat}
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: 12659822
> Support order by and sort by on Spark
> -------------------------------------
>
> Key: HIVE-7527
> URL: https://issues.apache.org/jira/browse/HIVE-7527
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Xuefu Zhang
> Assignee: Rui Li
> Fix For: spark-branch
>
> Attachments: HIVE-7527-spark.patch, HIVE-7527.2-spark.patch
>
>
> Currently Hive depends completely on MapReduce's sorting as part of shuffling
> to achieve order by (global sort, one reducer) and sort by (local sort).
> Spark has a sort by transformation in different variations that can used to
> support Hive's order by and sort by. However, we still need to evaluate
> weather Spark's sortBy can achieve the same functionality inherited from
> MapReduce's shuffle sort.
> Currently Hive on Spark should be able to run simple sort by or order by, by
> changing the currently partitionBy to sortby. This is the way to verify
> theories. Complete solution will not be available until we have complete
> SparkPlanGenerator.
> There is also a question of how we determine that there is order by or sort
> by by just looking at the operator tree, from which Spark task is created.
> This is the responsibility of SparkPlanGenerator, but we need to have an idea.
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