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https://issues.apache.org/jira/browse/HADOOP-3601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ashish Thusoo updated HADOOP-3601:
----------------------------------

    Affects Version/s:     (was: 0.17.0)
                       0.19.0
         Release Note: 
 Hive - Data Warehouse built on top of hadoop that enables structuring hadoop 
files as tables and partitions and allows users to query this data through a 
SQL like language using a command line interface.


  was:
Could you guys please tell us:  what time is the Hive realease-date?
Could you guys please tell us:  what time is the Hive realease-date?

               Status: Patch Available  (was: Open)

Submitting hive.tgz file for hadoop QA. This .tgz file is built from hadoop 
root. We are submitting a .tgz file as there are some jar files that we use 
that need to be included in the sources. In order to build, copy the .tgz file 
to the hadoop root and then tar -xvzf hive.tgz to get the sources in the 
correct location.

> Hive as a contrib project
> -------------------------
>
>                 Key: HADOOP-3601
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3601
>             Project: Hadoop Core
>          Issue Type: Wish
>    Affects Versions: 0.19.0
>         Environment: N/A
>            Reporter: Joydeep Sen Sarma
>            Priority: Minor
>         Attachments: hive.tgz, hive.tgz, 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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