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From "Edward Capriolo (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-951) Selectively include EXTERNAL TABLE source files via REGEX
Date Fri, 23 Aug 2013 15:12:52 GMT

    [ https://issues.apache.org/jira/browse/HIVE-951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13748613#comment-13748613
] 

Edward Capriolo commented on HIVE-951:
--------------------------------------

This is being handle via another jira I think. This will be done via virtual column support.
The file name will be a string that can be used as part of a where clause.

                
> Selectively include EXTERNAL TABLE source files via REGEX
> ---------------------------------------------------------
>
>                 Key: HIVE-951
>                 URL: https://issues.apache.org/jira/browse/HIVE-951
>             Project: Hive
>          Issue Type: Improvement
>          Components: Query Processor
>            Reporter: Carl Steinbach
>            Assignee: Carl Steinbach
>         Attachments: HIVE-951.patch
>
>
> CREATE EXTERNAL TABLE should allow users to cherry-pick files via regular expression.

> CREATE EXTERNAL TABLE was designed to allow users to access data that exists outside
of Hive, and
> currently makes the assumption that all of the files located under the supplied path
should be included
> in the new table. Users frequently encounter directories containing multiple
> datasets, or directories that contain data in heterogeneous schemas, and it's often
> impractical or impossible to adjust the layout of the directory to meet the requirements
of 
> CREATE EXTERNAL TABLE. A good example of this problem is creating an external table based
> on the contents of an S3 bucket. 
> One way to solve this problem is to extend the syntax of CREATE EXTERNAL TABLE
> as follows:
> CREATE EXTERNAL TABLE
> ...
> LOCATION path [file_regex]
> ...
> For example:
> {code:sql}
> CREATE EXTERNAL TABLE mytable1 ( a string, b string, c string )
> STORED AS TEXTFILE
> LOCATION 's3://my.bucket/' 'folder/2009.*\.bz2$';
> {code}
> Creates mytable1 which includes all files in s3:/my.bucket with a filename matching 'folder/2009*.bz2'
> {code:sql}
> CREATE EXTERNAL TABLE mytable2 ( d string, e int, f int, g int )
> STORED AS TEXTFILE 
> LOCATION 'hdfs://data/' 'xyz.*2009????.bz2$';
> {code}
> Creates mytable2 including all files matching 'xyz*2009????.bz2' located under hdfs://data/

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