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From "Dmitriy V. Ryaboy (JIRA)" <j...@apache.org>
Subject [jira] Updated: (PIG-760) Serialize schemas for PigStorage() and other storage types.
Date Mon, 19 Oct 2009 15:39:59 GMT

     [ https://issues.apache.org/jira/browse/PIG-760?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Dmitriy V. Ryaboy updated PIG-760:
----------------------------------

    Status: Patch Available  (was: Open)

> Serialize schemas for PigStorage() and other storage types.
> -----------------------------------------------------------
>
>                 Key: PIG-760
>                 URL: https://issues.apache.org/jira/browse/PIG-760
>             Project: Pig
>          Issue Type: New Feature
>            Reporter: David Ciemiewicz
>         Attachments: pigstorageschema.patch
>
>
> I'm finding PigStorage() really convenient for storage and data interchange because it
compresses well and imports into Excel and other analysis environments well.
> However, it is a pain when it comes to maintenance because the columns are in fixed locations
and I'd like to add columns in some cases.
> It would be great if load PigStorage() could read a default schema from a .schema file
stored with the data and if store PigStorage() could store a .schema file with the data.
> I have tested this out and both Hadoop HDFS and Pig in -exectype local mode will ignore
a file called .schema in a directory of part files.
> So, for example, if I have a chain of Pig scripts I execute such as:
> A = load 'data-1' using PigStorage() as ( a: int , b: int );
> store A into 'data-2' using PigStorage();
> B = load 'data-2' using PigStorage();
> describe B;
> describe B should output something like { a: int, b: int }

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