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The following page has been changed by DougCutting: http://wiki.apache.org/hadoop/Hive The comment on the change is: update for subprojecthood ------------------------------------------------------------------------------ - #pragma section-numbers on + = Welcome to the Hive Wiki! = + + For more information, please see the official [http://hadoop.apache.org/hive/ Hive website]. = Information = Following are some useful links for users and developers interested in Hive: @@ -13, +15 @@ * [wiki:/PoweredBy A List of Sites and Applications Powered by Hive] = What is Hive = - Hive is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built in capabilities of the language. + [http://hadoop.apache.org/hive/ Hive] is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built in capabilities of the language. = What Hive is NOT = Hive is based on Hadoop which is a batch processing system. Accordingly, this system does not and cannot promise low latencies on queries. The paradigm here is strictly of submitting jobs and being notified when the jobs are completed as opposed to real time queries. As a result it should not be compared with systems like Oracle where analysis is done on a significantly smaller amount of data but the analysis proceeds much more iteratively with the response times between iterations being less than a few minutes. For Hive queries response times for even the smallest jobs can be of the order of 5-10 minutes and for larger jobs this may even run into hours. @@ -22, +24 @@ Hive does not mandate read or written data be in "hive format" - there is no such thing; Hive works equally well on Thrift, RecordIO, control delimited, or your data format. - - = Status = - Hive has been submitted as a contrib project in hadoop trunk. The details of its availability are available at [https://issues.apache.org/jira/browse/HADOOP-3601 Hadoop JIRA] - = Get Involved = - [http://publists.facebook.com/mailman/listinfo/hive-users hive-users mailing list] (at publists.facebook.com) + [http://hadoop.apache.org/hive/mailing_lists.html#Users hive-users mailing list]
