[jira] Commented: (HADOOP-3601) Hive as a contrib project

["Tim Robertson (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HADOOP-3601?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12621942#action_12621942 ] 

Tim Robertson commented on HADOOP-3601:
---------------------------------------

Is there an early release code base anywhere publicly available yet (please)?

> 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: 0.17.0
>         Environment: N/A
>            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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