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https://issues.apache.org/jira/browse/HIVE-8843?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14247597#comment-14247597
]
Hive QA commented on HIVE-8843:
-------------------------------
{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/12687309/HIVE-8843.1-spark.patch
{color:red}ERROR:{color} -1 due to 6 failed/errored test(s), 7235 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_optimize_nullscan
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_vector_cast_constant
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_bucket_map_join_spark4
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan
org.apache.hive.hcatalog.streaming.TestStreaming.testEndpointConnection
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/549/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/549/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-549/
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: 6 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12687309 - PreCommit-HIVE-SPARK-Build
> Release RDD cache when Hive query is done [Spark Branch]
> --------------------------------------------------------
>
> Key: HIVE-8843
> URL: https://issues.apache.org/jira/browse/HIVE-8843
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Xuefu Zhang
> Assignee: Jimmy Xiang
> Attachments: HIVE-8843.1-spark.patch
>
>
> In some multi-inser cases, RDD.cache() is called to improve performance. RDD
> is SparkContext specific, but the caching is useful only for the query. Thus,
> once the query is executed, we need to release the cache used by calling
> RDD.uncache().
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