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From "Eric Hanson (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-5762) Implement vectorized support for the DECIMAL data type
Date Wed, 04 Dec 2013 18:44:36 GMT

    [ https://issues.apache.org/jira/browse/HIVE-5762?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13839190#comment-13839190
] 

Eric Hanson commented on HIVE-5762:
-----------------------------------

If dealing with the sign/carry bits is too difficult with 2 arrays of long, an alternative
would be to use 4 arrays of int.

> 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
>
> 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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