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Posted to dev@hive.apache.org by "Eric Hanson (JIRA)" <ji...@apache.org> on 2013/12/14 01:55:07 UTC

[jira] [Work started] (HIVE-5762) Implement vectorized support for the DECIMAL data type

     [ https://issues.apache.org/jira/browse/HIVE-5762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Work on HIVE-5762 started by Eric Hanson.

> Implement vectorized support for the DECIMAL data type
> ------------------------------------------------------
>
>                 Key: HIVE-5762
>                 URL: https://issues.apache.org/jira/browse/HIVE-5762
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Eric Hanson
>            Assignee: Eric Hanson
>
> Add support to allow queries referencing DECIMAL columns and expression results to run efficiently in vectorized mode.  Include unit tests and end-to-end tests. 
> Before starting or at least going very far, please write design specification (a new section for the design spec attached to HIVE-4160) for how support for the different DECIMAL types should work in vectorized mode, and the roadmap, and have it reviewed. 
> It may be feasible to re-use LongColumnVector and related VectorExpression classes for fixed-point decimal in certain data ranges. That should be at least considered to get faster performance and save code. For unlimited precision DECIMAL, a new column vector subtype may be needed, or a BytesColumnVector could be re-used.



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