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https://issues.apache.org/jira/browse/HIVE-8017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14129567#comment-14129567
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Hive QA commented on HIVE-8017:
-------------------------------
{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/12667924/HIVE-8017.4-spark.patch
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 6343 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.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_union_remove_25
org.apache.hive.service.TestHS2ImpersonationWithRemoteMS.testImpersonation
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/124/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/124/console
Test logs:
http://ec2-54-176-176-199.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-124/
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: 5 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12667924
> Use HiveKey instead of BytesWritable as key type of the pair RDD [Spark
> Branch]
> -------------------------------------------------------------------------------
>
> Key: HIVE-8017
> URL: https://issues.apache.org/jira/browse/HIVE-8017
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Rui Li
> Assignee: Rui Li
> Attachments: HIVE-8017-spark.patch, HIVE-8017.2-spark.patch,
> HIVE-8017.3-spark.patch, HIVE-8017.4-spark.patch
>
>
> HiveKey should be used as the key type because it holds the hash code for
> partitioning. While BytesWritable serves partitioning well for simple cases,
> we have to use {{HiveKey.hashCode}} for more complicated ones, e.g. join,
> bucketed table, etc.
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