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Posted to commits@hive.apache.org by cw...@apache.org on 2010/12/23 08:17:30 UTC
svn commit: r1052189 - in /hive/site:
author/src/documentation/content/xdocs/index.xml publish/index.html
publish/index.pdf
Author: cws
Date: Thu Dec 23 07:17:30 2010
New Revision: 1052189
URL: http://svn.apache.org/viewvc?rev=1052189&view=rev
Log:
Update Hive description in index so that it matches description in README.txt
Modified:
hive/site/author/src/documentation/content/xdocs/index.xml
hive/site/publish/index.html
hive/site/publish/index.pdf
Modified: hive/site/author/src/documentation/content/xdocs/index.xml
URL: http://svn.apache.org/viewvc/hive/site/author/src/documentation/content/xdocs/index.xml?rev=1052189&r1=1052188&r2=1052189&view=diff
==============================================================================
--- hive/site/author/src/documentation/content/xdocs/index.xml (original)
+++ hive/site/author/src/documentation/content/xdocs/index.xml Thu Dec 23 07:17:30 2010
@@ -11,13 +11,14 @@
<body>
<p>
- 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 Hive 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.
+ Hive is a data warehouse system for Hadoop that facilitates
+easy data summarization, ad-hoc queries, and the analysis of large
+datasets stored in Hadoop compatible file systems. Hive provides a
+mechanism to project structure onto this data and query the data using a
+SQL-like language called HiveQL. At the same time this language also
+allows traditional map/reduce programmers to plug in their custom
+mappers and reducers when it is inconvenient or inefficient to express
+this logic in HiveQL.
</p>
<section>
Modified: hive/site/publish/index.html
URL: http://svn.apache.org/viewvc/hive/site/publish/index.html?rev=1052189&r1=1052188&r2=1052189&view=diff
==============================================================================
--- hive/site/publish/index.html (original)
+++ hive/site/publish/index.html Thu Dec 23 07:17:30 2010
@@ -188,13 +188,14 @@ document.write("Last Published: " + docu
</div>
<p>
- 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 Hive 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.
+ Hive is a data warehouse system for Hadoop that facilitates
+easy data summarization, ad-hoc queries, and the analysis of large
+datasets stored in Hadoop compatible file systems. Hive provides a
+mechanism to project structure onto this data and query the data using a
+SQL-like language called HiveQL. At the same time this language also
+allows traditional map/reduce programmers to plug in their custom
+mappers and reducers when it is inconvenient or inefficient to express
+this logic in HiveQL.
</p>
Modified: hive/site/publish/index.pdf
URL: http://svn.apache.org/viewvc/hive/site/publish/index.pdf?rev=1052189&r1=1052188&r2=1052189&view=diff
==============================================================================
--- hive/site/publish/index.pdf (original)
+++ hive/site/publish/index.pdf Thu Dec 23 07:17:30 2010
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