[jira] [Commented] (HIVE-8160) Upgrade Spark dependency to 1.2.0-SNAPSHOT [Spark Branch]

["Hive QA (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-8160?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14138193#comment-14138193 ] 

Hive QA commented on HIVE-8160:
-------------------------------



{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/12669525/HIVE-8160.1-spark.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 6437 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_fs_default_name2
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/135/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/135/console
Test logs: http://ec2-54-176-176-199.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-135/

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: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12669525

> Upgrade Spark dependency to 1.2.0-SNAPSHOT [Spark Branch]
> ---------------------------------------------------------
>
>                 Key: HIVE-8160
>                 URL: https://issues.apache.org/jira/browse/HIVE-8160
>             Project: Hive
>          Issue Type: Task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Xuefu Zhang
>            Priority: Minor
>              Labels: Spark-M1
>         Attachments: HIVE-8160.1-spark.patch
>
>
> Hive on Spark needs SPARK-2978, which is now available in latest Spark main branch.



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