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From "Hong Tang (JIRA)" <j...@apache.org>
Subject [jira] Commented: (PIG-833) Storage access layer
Date Fri, 05 Jun 2009 10:58:07 GMT

    [ https://issues.apache.org/jira/browse/PIG-833?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12716578#action_12716578
] 

Hong Tang commented on PIG-833:
-------------------------------

@Jeff, I might have read a bit too much into the lines. I was referring to your comments on
PIG-824.

I also took a look at HIVE-279, the predicate push down mentioned there is actually a bit
different from what we plan to do. HIVE-279 pushes predicates to map phase, whereby we would
like to implement a storage layer where we can filter out bytes while reading data from disk.

> Storage access layer
> --------------------
>
>                 Key: PIG-833
>                 URL: https://issues.apache.org/jira/browse/PIG-833
>             Project: Pig
>          Issue Type: New Feature
>            Reporter: Jay Tang
>
> A layer is needed to provide a high level data access abstraction and a tabular view
of data in Hadoop, and could free Pig users from implementing their own data storage/retrieval
code.  This layer should also include a columnar storage format in order to provide fast data
projection, CPU/space-efficient data serialization, and a schema language to manage physical
storage metadata.  Eventually it could also support predicate pushdown for further performance
improvement.  Initially, this layer could be a contrib project in Pig and become a hadoop
subproject later on.

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