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Posted to issues@hive.apache.org by "Vihang Karajgaonkar (JIRA)" <ji...@apache.org> on 2017/11/02 23:38:01 UTC
[jira] [Reopened] (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 reopened HIVE-17874:
----------------------------------------
Reopening to trigger precommit on 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
> Priority: Major
> Fix For: 3.0.0
>
> 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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