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https://issues.apache.org/jira/browse/HIVE-11363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14639946#comment-14639946
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Hive QA commented on HIVE-11363:
--------------------------------
{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/12746937/HIVE-11363.3-spark.patch
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 9266 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_convert_enum_to_string
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_dynamic_rdd_cache
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_dynamic_rdd_cache
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_load_dyn_part14
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_vector_count_distinct
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/940/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/940/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-940/
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: 12746937 - PreCommit-HIVE-SPARK-Build
> Prewarm Hive on Spark containers [Spark Branch]
> -----------------------------------------------
>
> Key: HIVE-11363
> URL: https://issues.apache.org/jira/browse/HIVE-11363
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Affects Versions: 1.1.0
> Reporter: Xuefu Zhang
> Assignee: Xuefu Zhang
> Attachments: HIVE-11363.1-spark.patch, HIVE-11363.2-spark.patch,
> HIVE-11363.3-spark.patch
>
>
> When Hive job is launched by Oozie, a Hive session is created and job script
> is executed. Session is closed when Hive job is completed. Thus, Hive session
> is not shared among Hive jobs either in an Oozie workflow or across
> workflows. Since the parallelism of a Hive job executed on Spark is impacted
> by the available executors, such Hive jobs will suffer the executor ramp-up
> overhead. The idea here is to wait a bit so that enough executors can come up
> before a job can be executed.
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