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Posted to issues@hawq.apache.org by "Oleksandr Diachenko (JIRA)" <ji...@apache.org> on 2016/08/24 18:32:20 UTC
[jira] [Assigned] (HAWQ-992) PXF Hive data type check in Fragmenter
too restrictive
[ https://issues.apache.org/jira/browse/HAWQ-992?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Oleksandr Diachenko reassigned HAWQ-992:
----------------------------------------
Assignee: Oleksandr Diachenko (was: Shivram Mani)
> PXF Hive data type check in Fragmenter too restrictive
> ------------------------------------------------------
>
> Key: HAWQ-992
> URL: https://issues.apache.org/jira/browse/HAWQ-992
> Project: Apache HAWQ
> Issue Type: Bug
> Components: PXF
> Reporter: Shivram Mani
> Assignee: Oleksandr Diachenko
> Fix For: backlog
>
>
> HiveDataFragmenter used by both HiveText and HiveRC profiles has a very strict type check.
> Hawq type numeric(10,10) is compatible with hive's decimal(10,10)
> But Hawq type numeric is not compatible with hive's decimal(10,10)
> Similar issue exits with other data types which have variable optional arguments. The type check should be modified to allow hawq type that is a compabitle type but without optional precision/length arguments to work with the corresponding hive type.
> Support following additional hive data types: date, varchar, char
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