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From "Jitendra Nath Pandey (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-4821) Implement vectorized type casting for all types
Date Thu, 10 Oct 2013 16:59:44 GMT

    [ https://issues.apache.org/jira/browse/HIVE-4821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13791678#comment-13791678
] 

Jitendra Nath Pandey commented on HIVE-4821:
--------------------------------------------

  The patch has some changes in NOTICE.txt and README.txt and in files like HiveSchemaTools,
which don't seem to be intended. Several files have been removed e.g. bin/ext/version.sh.
  The patch also removes some of the template generation code added in recent patches, which
also seems to be unintentional.

> Implement vectorized type casting for all types
> -----------------------------------------------
>
>                 Key: HIVE-4821
>                 URL: https://issues.apache.org/jira/browse/HIVE-4821
>             Project: Hive
>          Issue Type: Sub-task
>    Affects Versions: 0.13.0
>            Reporter: Eric Hanson
>            Assignee: Eric Hanson
>         Attachments: HIVE-4821.1.patch
>
>
> Implement vectorized support for casting from any type to any type.
> From the documentation:
> cast(expr as <type>): Converts the results of the expression expr to <type>
e.g. cast('1' as BIGINT) will convert the string '1' to it integral representation. A null
is returned if the conversion does not succeed
> The current supported internal types are:
> LONG
> DOUBLE
> STRING
> TIMESTAMP
> Before implementation, determine what are the semantics of explicit casting to types
less general than the internal types. E.g. what if you cast DOUBLE to TINYINT? Can we just
cast internally to LONG and let the output process cast to TINYINT? 
> This JIRA includes all work to make casting operate end-to-end in a SQL query in vectorized
mode, including updates to VectorizationContext.



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