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https://issues.apache.org/jira/browse/HIVE-11306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14637970#comment-14637970
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Hive QA commented on HIVE-11306:
--------------------------------
{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/12746635/HIVE-11306.2.patch
{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 9257 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_index_bitmap_auto_partitioned
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_vector_leftsemi_mapjoin
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/4694/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/4694/console
Test logs:
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-4694/
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: 12746635 - PreCommit-HIVE-TRUNK-Build
> Add a bloom-1 filter for Hybrid MapJoin spills
> ----------------------------------------------
>
> Key: HIVE-11306
> URL: https://issues.apache.org/jira/browse/HIVE-11306
> Project: Hive
> Issue Type: Improvement
> Components: Hive
> Affects Versions: 1.3.0, 2.0.0
> Reporter: Gopal V
> Assignee: Gopal V
> Attachments: HIVE-11306.1.patch, HIVE-11306.2.patch
>
>
> HIVE-9277 implemented Spillable joins for Tez, which suffers from a
> corner-case performance issue when joining wide small tables against a narrow
> big table (like a user info table join events stream).
> The fact that the wide table is spilled causes extra IO, even though the nDV
> of the join key might be in the thousands.
> A cheap bloom-1 filter would add a massive performance gain for such queries,
> massively cutting down on the spill IO costs for the big-table spills.
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