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https://issues.apache.org/jira/browse/HIVE-3472?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13474838#comment-13474838
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Shengsheng Huang commented on HIVE-3472:
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@Lianhui Thanks for comment. I read the nexr's slides. And there's another 
interesting contribution about SQL window functions presented in Hadoop Summit 
2012. http://www.slideshare.net/Hadoop_Summit/analytical-queries-with-hive. 
It looks to me many people are aware that Hive needs improvement to better 
accomodate commmon OLAP requirements, and many of us actually share similar 
ideas about which areas to improve - for example, the SQL data type system, 
OLAP-oriented features (rank,rollup,window functions,etc.), nested & scalar 
subquery, and etc. 

It seemed nexr didn't open source their query planer (Hawk), which does the 
most SQL syntax transformation as I understand, on github (they did contributed 
a set of OLAP UDF implementations though). We would like to see Hive evolves 
faster to a better open source tool for OLAP analytics so that we opened this 
JIRA id to push this forward. And we're willing to contribute our efforts to 
open source. 

                
> Build An Analytical SQL Engine for MapReduce
> --------------------------------------------
>
>                 Key: HIVE-3472
>                 URL: https://issues.apache.org/jira/browse/HIVE-3472
>             Project: Hive
>          Issue Type: New Feature
>    Affects Versions: 0.10.0
>            Reporter: Shengsheng Huang
>         Attachments: SQL-design.pdf
>
>
> While there are continuous efforts in extending Hive’s SQL support (e.g., see 
> some recent examples such as HIVE-2005 and HIVE-2810), many widely used SQL 
> constructs are still not supported in HiveQL, such as selecting from multiple 
> tables, subquery in WHERE clauses, etc.  
> We propose to build a SQL-92 full compatible engine (for MapReduce based 
> analytical query processing) as an extension to Hive. 
> The SQL frontend will co-exist with the HiveQL frontend; consequently, one 
> can  mix SQL and HiveQL statements in their queries (switching between HiveQL 
> mode and SQL-92 mode using a “hive.ql.mode” parameter before each query 
> statement). This way useful Hive extensions are still accessible to users. 

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