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From "Vihang Karajgaonkar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-17874) Parquet vectorization fails on tables with complex columns when there are no projected columns
Date Fri, 27 Oct 2017 00:12:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-17874?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16221491#comment-16221491
] 

Vihang Karajgaonkar commented on HIVE-17874:
--------------------------------------------

Patch merged to master.

> Parquet vectorization fails on tables with complex columns when there are no projected
columns
> ----------------------------------------------------------------------------------------------
>
>                 Key: HIVE-17874
>                 URL: https://issues.apache.org/jira/browse/HIVE-17874
>             Project: Hive
>          Issue Type: Sub-task
>    Affects Versions: 2.2.0
>            Reporter: Vihang Karajgaonkar
>            Assignee: Vihang Karajgaonkar
>         Attachments: HIVE-17874.01-branch-2.patch, HIVE-17874.01.patch, HIVE-17874.02.patch,
HIVE-17874.03.patch, HIVE-17874.04.patch, HIVE-17874.05.patch, HIVE-17874.06.patch
>
>
> When a parquet table contains an unsupported type like {{Map}}, {{LIST}} or {{UNION}}
simple queries like {{select count(*) from table}} fails with {{unsupported type exception}}
even though vectorized reader doesn't really need read the complex type into batches.



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