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https://issues.apache.org/jira/browse/PIG-824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12714571#action_12714571
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Jeff Hammerbacher commented on PIG-824:
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Sigh. Really? Why build another SQL interface to Hadoop when we have two
already (CloudBase, Hive)? Extending Pig to share Hive's metadata repository
seems to be a much, much shorter path to a solution.
> SQL interface for Pig
> ---------------------
>
> Key: PIG-824
> URL: https://issues.apache.org/jira/browse/PIG-824
> Project: Pig
> Issue Type: New Feature
> Reporter: Olga Natkovich
>
> In the last 18 month PigLatin has gained significant popularity within the
> open source community. Many users like its data flow model, its rich type
> system and its ability to work with any data available on HDFS or outside. We
> have also heard from many users that having Pig speak SQL would bring many
> more users. Having a single system that exports multiple interfaces is a big
> advantage as it guarantees consistent semantics, custom code reuse, and
> reduces the amount of maintenance. This is especially relevant for project
> where using both interfaces for different parts of the system is relevant.
> For instance, in a
> data warehousing system, you would have ETL component that brings data into
> the warehouse and a component that analyzes the data and produces reports.
> PigLatin is uniquely suited for ETL processing while SQL might be a better
> fit for report generation.
> To start, it would make sense to implement a subset of SQL92 standard and to
> be as much as possible standard compliant. This would include all the
> standard constructs: select, from, where, group-by + having, order by, limit,
> join (inner + outer). Several extensions such as support for pig's UDFs and
> possibly streaming, multiquery and support for pig's complex types would be
> helpful.
> This work is dependent on metadata support outlined in
> https://issues.apache.org/jira/browse/PIG-823
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