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https://issues.apache.org/jira/browse/HIVE-14029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15506147#comment-15506147
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Hive QA commented on HIVE-14029:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12829333/HIVE-14029.1.patch
{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 7 failed/errored test(s), 10498 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[acid_mapjoin]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[ctas]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[vector_join_part_col_char]
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainuser_3]
org.apache.hadoop.hive.metastore.TestMetaStoreMetrics.testMetaDataCounts
org.apache.hive.jdbc.TestJdbcWithMiniHS2.testAddJarConstructorUnCaching
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/1237/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/1237/console
Test logs:
http://ec2-204-236-174-241.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-Build-1237/
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: 7 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12829333 - PreCommit-HIVE-Build
> Update Spark version to 2.0.0
> -----------------------------
>
> Key: HIVE-14029
> URL: https://issues.apache.org/jira/browse/HIVE-14029
> Project: Hive
> Issue Type: Bug
> Reporter: Ferdinand Xu
> Assignee: Ferdinand Xu
> Attachments: HIVE-14029.1.patch, HIVE-14029.patch
>
>
> There are quite some new optimizations in Spark 2.0.0. We need to bump up
> Spark to 2.0.0 to benefit those performance improvements.
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