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https://issues.apache.org/jira/browse/PIG-760?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dmitriy V. Ryaboy updated PIG-760:
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Attachment: pigstorageschema_3.patch
> 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
> Assignee: Dmitriy V. Ryaboy
> Fix For: 0.6.0
>
> Attachments: pigstorageschema-2.patch, pigstorageschema.patch,
> pigstorageschema_3.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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