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From "Vihang Karajgaonkar (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-17874) Parquet vectorization fails on tables with complex columns when there are no projected columns
Date Thu, 02 Nov 2017 23:39:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-17874?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Vihang Karajgaonkar updated HIVE-17874:
---------------------------------------
    Fix Version/s: 2.4.0
           Status: Patch Available  (was: Reopened)

> 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
>            Priority: Major
>             Fix For: 3.0.0, 2.4.0
>
>         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, HIVE-17874.07-branch-2.patch,
HIVE-17874.08-branch-2.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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