You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hbase.apache.org by dm...@apache.org on 2011/12/02 21:40:51 UTC
svn commit: r1209684 - /hbase/trunk/src/site/xdoc/index.xml
Author: dmeil
Date: Fri Dec 2 20:40:51 2011
New Revision: 1209684
URL: http://svn.apache.org/viewvc?rev=1209684&view=rev
Log:
hbase-4930. home page (index.html) reformat.
Modified:
hbase/trunk/src/site/xdoc/index.xml
Modified: hbase/trunk/src/site/xdoc/index.xml
URL: http://svn.apache.org/viewvc/hbase/trunk/src/site/xdoc/index.xml?rev=1209684&r1=1209683&r2=1209684&view=diff
==============================================================================
--- hbase/trunk/src/site/xdoc/index.xml (original)
+++ hbase/trunk/src/site/xdoc/index.xml Fri Dec 2 20:40:51 2011
@@ -22,20 +22,37 @@
</properties>
<body>
- <section>
+ <section name="Welcome to Apache HBase!">
+ <p>HBase is the <a href="http://hadoop.apache.org">Hadoop</a> database. Think of it as a super-fast reliable Big Data store.
+ </p>
+ </section>
+ <section name="When Would I Use HBase?">
<p>
- HBase is the <a href="http://hadoop.apache.org">Hadoop</a> database. Use it when you need random, realtime read/write access to your Big Data.
+ Use HBase when you need random, realtime read/write access to your Big Data.
This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware.
-HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' <a href="http://labs.google.com/papers/bigtable.html">Bigtable: A Distributed Storage System for Structured</a> by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop.
-HBase includes:
+HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' <a href="http://labs.google.com/papers/bigtable.html">Bigtable: A Distributed Storage System for Structured</a> by Chang et al.
+ Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.
+ </p>
+ </section>
+ <section name="Features">
+ <p>
+HBase provides:
<ul>
- <li>Convenient base classes for backing Hadoop MapReduce jobs with HBase tables including cascading, hive and pig source and sink modules
+ <li>Strictly consistent reads and writes.
+</li>
+ <li>Automatic and configurable sharding of tables
+</li>
+ <li>Automatic failover support between RegionServers.
+</li>
+ <li>Convenient base classes for backing Hadoop MapReduce jobs with HBase tables.
+</li>
+ <li>Easy to use Java API for client access.
</li>
- <li>Query predicate push down via server side scan and get filters
+ <li>Block cache and Bloom Filters for real-time queries.
</li>
- <li>Optimizations for real time queries
+ <li>Query predicate push down via server side Filters
</li>
- <li>A Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options
+ <li>Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options
</li>
<li>Extensible jruby-based (JIRB) shell
</li>
@@ -43,9 +60,12 @@ HBase includes:
</li>
</ul>
</p>
+ </section>
+ <section name="Where Can I Get More Information?">
+ <p>See the <a href="http://hbase.apache.org/book/faq.html">Apache HBase Book FAQ</a>, and the other documentation links on the left!
+ </p>
</section>
-
- <section name="News">
+ <section name="News">
<p>November 29th, <a href="http://www.meetup.com/hackathon/events/41025972/">Developer Pow-Wow in SF</a> at Salesforce HQ</p>
<p>November 7th, <a href="http://www.meetup.com/hbaseusergroup/events/35682812/">HBase Meetup in NYC (6PM)</a> at the AppNexus office</p>
<p>August 22nd, <a href="http://www.meetup.com/hbaseusergroup/events/28518471/">HBase Hackathon (11AM) and Meetup (6PM)</a> at FB in PA</p>