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https://issues.apache.org/jira/browse/HADOOP-3601?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12616172#action_12616172
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Joydeep Sen Sarma commented on HADOOP-3601:
-------------------------------------------

- Initially the project will be very active. We expect lots of bug fixes and 
features for the first few months. So if that is a concern - then a sub-project 
may be better suited.
- the concern with sourceforge wasn't so much the act of setting up a project 
there - but rather the source code organization. we are using hadoop core and 
other libraries in hadoop/lib liberally and just haven't gone through the 
exercise of thinking through how we would manage those dependencies if Hive 
were completely separate.

can someone post details on how sub-projects are organized in terms of source 
code organization/checkin rules/branching etc. ?

also looking for some advice on how we can organize things so that (say medium 
term) we can do releases independent of hadoop.


> Hive as a contrib project
> -------------------------
>
>                 Key: HADOOP-3601
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3601
>             Project: Hadoop Core
>          Issue Type: New Feature
>    Affects Versions: 0.17.0
>            Reporter: Joydeep Sen Sarma
>            Priority: Minor
>         Attachments: HiveTutorial.pdf
>
>   Original Estimate: 1080h
>  Remaining Estimate: 1080h
>
> Hive is a data warehouse built on top of flat files (stored primarily in 
> HDFS). It includes:
> - Data Organization into Tables with logical and hash partitioning
> - A Metastore to store metadata about Tables/Partitions etc
> - A SQL like query language over object data stored in Tables
> - DDL commands to define and load external data into tables
> Hive's query language is executed using Hadoop map-reduce as the execution 
> engine. Queries can use either single stage or multi-stage map-reduce. Hive 
> has a native format for tables - but can handle any data set (for example 
> json/thrift/xml) using an IO library framework.
> Hive uses Antlr for query parsing, Apache JEXL for expression evaluation and 
> may use Apache Derby as an embedded database for MetaStore. Antlr has a BSD 
> license and should be compatible with Apache license.
> We are currently thinking of contributing to the 0.17 branch as a contrib 
> project (since that is the version under which it will get tested internally) 
> - but looking for advice on the best release path.

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