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https://issues.apache.org/jira/browse/HIVE-8649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14199753#comment-14199753
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Hive QA commented on HIVE-8649:
-------------------------------
{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/12679762/HIVE-8649.1-spark.patch
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 7098 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_parallel
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_optimize_nullscan
org.apache.hadoop.hive.ql.io.parquet.serde.TestParquetTimestampUtils.testTimezone
org.apache.hive.minikdc.TestJdbcWithMiniKdc.testNegativeTokenAuth
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/315/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/315/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-315/
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: 12679762 - PreCommit-HIVE-SPARK-Build
> Increase level of parallelism in reduce phase [Spark Branch]
> ------------------------------------------------------------
>
> Key: HIVE-8649
> URL: https://issues.apache.org/jira/browse/HIVE-8649
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Brock Noland
> Assignee: Jimmy Xiang
> Fix For: spark-branch
>
> Attachments: HIVE-8649.1-spark.patch
>
>
> We calculate the number of reducers based on the same code for MapReduce.
> However, reducers are vastly cheaper in Spark and it's generally recommended
> we have many more reducers than in MR.
> Sandy Ryza who works on Spark has some ideas about a heuristic.
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