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https://issues.apache.org/jira/browse/HIVE-15543?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15800443#comment-15800443
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Hive QA commented on HIVE-15543:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12845692/HIVE-15543.patch
{color:red}ERROR:{color} -1 due to no test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 8 failed/errored test(s), 10900 tests
executed
*Failed tests:*
{noformat}
TestDerbyConnector - did not produce a TEST-*.xml file (likely timed out)
(batchId=233)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[case_sensitivity]
(batchId=61)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[input_testxpath]
(batchId=28)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[udf_coalesce]
(batchId=75)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[orc_ppd_basic]
(batchId=134)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[orc_ppd_schema_evol_3a]
(batchId=135)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_varchar_simple]
(batchId=151)
org.apache.hadoop.hive.cli.TestSparkCliDriver.org.apache.hadoop.hive.cli.TestSparkCliDriver
(batchId=96)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/2791/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/2791/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-2791/
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: 8 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12845692 - PreCommit-HIVE-Build
> Don't try to get memory/cores to decide parallelism when Spark dynamic
> allocation is enabled
> --------------------------------------------------------------------------------------------
>
> Key: HIVE-15543
> URL: https://issues.apache.org/jira/browse/HIVE-15543
> Project: Hive
> Issue Type: Improvement
> Components: Spark
> Affects Versions: 2.2.0
> Reporter: Xuefu Zhang
> Assignee: Xuefu Zhang
> Attachments: HIVE-15543.patch
>
>
> Presently Hive tries to get numbers for memory and cores from the Spark
> application and use them to determine RS parallelism. However, this doesn't
> make sense when Spark dynamic allocation is enabled because the current
> numbers doesn't represent available computing resources, especially when
> SparkContext is initially launched.
> Thus, it makes send not to do that when dynamic allocation is enabled.
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