[jira] [Commented] (HIVE-5998) Add vectorized reader for Parquet files

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

    [ https://issues.apache.org/jira/browse/HIVE-5998?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13956989#comment-13956989 ] 

Hive QA commented on HIVE-5998:
-------------------------------



{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/12638055/HIVE-5998.12.patch

{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 5514 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMinimrCliDriver.testCliDriver_infer_bucket_sort_bucketed_table
{noformat}

Test results: http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/2069/testReport
Console output: http://bigtop01.cloudera.org:8080/job/PreCommit-HIVE-Build/2069/console

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: 1 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12638055

> Add vectorized reader for Parquet files
> ---------------------------------------
>
>                 Key: HIVE-5998
>                 URL: https://issues.apache.org/jira/browse/HIVE-5998
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Serializers/Deserializers, Vectorization
>            Reporter: Remus Rusanu
>            Assignee: Remus Rusanu
>            Priority: Minor
>              Labels: Parquet, vectorization
>         Attachments: HIVE-5998.1.patch, HIVE-5998.10.patch, HIVE-5998.11.patch, HIVE-5998.12.patch, HIVE-5998.2.patch, HIVE-5998.3.patch, HIVE-5998.4.patch, HIVE-5998.5.patch, HIVE-5998.6.patch, HIVE-5998.7.patch, HIVE-5998.8.patch, HIVE-5998.9.patch
>
>
> HIVE-5783 is adding native Parquet support in Hive. As Parquet is a columnar format, it makes sense to provide a vectorized reader, similar to how RC and ORC formats have, to benefit from vectorized execution engine.



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