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https://issues.apache.org/jira/browse/HIVE-20486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16665906#comment-16665906
 ] 

Hive QA commented on HIVE-20486:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12945812/HIVE-20486.3.patch

{color:green}SUCCESS:{color} +1 due to 3 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 15507 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMiniDruidCliDriver.testCliDriver[kafka_storage_handler]
 (batchId=194)
{noformat}

Test results: 
https://builds.apache.org/job/PreCommit-HIVE-Build/14648/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/14648/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-14648/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 1 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12945812 - PreCommit-HIVE-Build

> Kafka: Use Row SerDe + vectorization
> ------------------------------------
>
>                 Key: HIVE-20486
>                 URL: https://issues.apache.org/jira/browse/HIVE-20486
>             Project: Hive
>          Issue Type: Improvement
>          Components: kafka integration
>            Reporter: Gopal V
>            Assignee: slim bouguerra
>            Priority: Major
>              Labels: kafka, vectorization
>             Fix For: 4.0.0
>
>         Attachments: HIVE-20486.3.patch, HIVE-20486.3.patch, HIVE-20486.patch
>
>
> KafkaHandler returns unvectorized rows which causes the operators downstream 
> to be slower and sub-optimal.
> Hive has a vectorization shim which allows Kafka streams without complex 
> projections to be wrapped into a vectorized reader via 
> {{hive.vectorized.use.row.serde.deserialize}}.



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