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From "Prasad Chakka (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-3601) Hive as a contrib project
Date Thu, 28 Aug 2008 19:15:44 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-3601?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12626704#action_12626704
] 

Prasad Chakka commented on HADOOP-3601:
---------------------------------------

yw kim,

it works fine with  mysql version 5.0.44_2_3. can you check this mysql bug report http://bugs.mysql.com/bug.php?id=28138
and use corresponding version.

| SD_PARAMS | CREATE TABLE `SD_PARAMS` (
  `STORAGE_DESC_ID_OID` bigint(20) NOT NULL,
  `PARAM_KEY` varchar(256) character set latin1 collate latin1_bin NOT NULL,
  `PARAM_VALUE` varchar(1024) character set latin1 collate latin1_bin default NULL,
  PRIMARY KEY  (`STORAGE_DESC_ID_OID`,`PARAM_KEY`),
  KEY `SD_PARAMS_N49` (`STORAGE_DESC_ID_OID`),
  CONSTRAINT `SD_PARAMS_FK1` FOREIGN KEY (`STORAGE_DESC_ID_OID`) REFERENCES `STORAGE_DESC`
(`STORAGE_DESC_ID`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 |


> 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: 0.17.2
>         Environment: N/A
>            Reporter: Joydeep Sen Sarma
>            Assignee: Ashish Thusoo
>            Priority: Minor
>             Fix For: 0.19.0
>
>         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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