You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@hive.apache.org by "Vihang Karajgaonkar (JIRA)" <ji...@apache.org> on 2017/10/23 00:18:00 UTC

[jira] [Updated] (HIVE-17874) Parquet vectorization fails on tables with complex columns when there are no projected columns

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

Vihang Karajgaonkar updated HIVE-17874:
---------------------------------------
    Attachment: HIVE-17874.01.patch
                HIVE-17874.01-branch-2.patch

> 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
>
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)