Author: stack
Date: Mon Oct 5 17:44:38 2009
New Revision: 821932
URL: http://svn.apache.org/viewvc?rev=821932&view=rev
Log:
added list of features to front page -- please check it out...
Modified:
hadoop/hbase/site/author/src/documentation/content/xdocs/index.xml
hadoop/hbase/site/publish/index.html
hadoop/hbase/site/publish/index.pdf
Modified: hadoop/hbase/site/author/src/documentation/content/xdocs/index.xml
URL:
http://svn.apache.org/viewvc/hadoop/hbase/site/author/src/documentation/content/xdocs/index.xml?rev=821932&r1=821931&r2=821932&view=diff
==============================================================================
--- hadoop/hbase/site/author/src/documentation/content/xdocs/index.xml
(original)
+++ hadoop/hbase/site/author/src/documentation/content/xdocs/index.xml Mon Oct
5 17:44:38 2009
@@ -13,16 +13,41 @@
<title>Overview</title>
<p>
<img src="http://www.nga.gov/image/a0000f/a0000f88.jpg"; alt="The Approaching
Storm by Constant Troyon, 1849" align="right" style="border-style: none"/>
- HBase is the Hadoop database. Use it when you need random, realtime
read/write access to your Big Data.
- </p>
- <p>
- HBase ia an open-source, distributed, column-oriented store modeled after
the Google paper,
- <a href="http://labs.google.com/papers/bigtable.html";>Bigtable: A
Distributed Storage System for Structured Data</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's goal is the hosting of very large tables -- billions of rows X
millions of columns
- -- atop clusters of commodity hardware.
- </p>
+HBase is the Hadoop database. Use it 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.
+</p>
+<p>HBase ia an open-source, distributed, column-oriented store modeled after
Google'
+<a href="http://labs.google.com/papers/bigtable.html";>Bigtable: A Distributed
Storage System for Structured Data</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:
+ <ul><li>Convenient base classes for backing Hadoop MapReduce jobs with
HBase tables
+ </li>
+ <li>Query predicate push down via server side scan and get filters
+ </li>
+ <li>Optimizations for real time queries
+ </li>
+ <li>A high performance Thrift gateway
+ </li>
+ <li>A REST-ful Web service gateway that supports XML, Protobuf, and binary
data encoding options
+ </li>
+ <li><a href="http://www.cascading.org";>Cascading</a> source and sink
modules
+ </li>
+ <li>Extensible <a href="http://jruby.org";>jruby</a>-based (JIRB) shell
+ </li>
+ <li>Support for exporting metrics via the Hadoop metrics subsystem to
files or Ganglia; or via JMX
+ </li>
+ </ul>
+This most recent version of HBase, 0.20.0, has greatly improved on its
predecessors:
+
+ <ul><li>No HBase single point of failure
+ </li>
+ <li>Rolling restart for configuration changes and minor upgrades
+ </li>
+ <li>Random access performance on par with open source relational databases
such as MySQL
+ </li>
+</ul>
+</p>
+
</section>
<section>
Modified: hadoop/hbase/site/publish/index.html
URL:
http://svn.apache.org/viewvc/hadoop/hbase/site/publish/index.html?rev=821932&r1=821931&r2=821932&view=diff
==============================================================================
--- hadoop/hbase/site/publish/index.html (original)
+++ hadoop/hbase/site/publish/index.html Mon Oct 5 17:44:38 2009
@@ -184,51 +184,90 @@
<p>
<img align="right" alt="The Approaching Storm by Constant Troyon, 1849"
src="http://www.nga.gov/image/a0000f/a0000f88.jpg"; style="border-style: none">
- HBase is the Hadoop database. Use it when you need random, realtime
read/write access to your Big Data.
- </p>
-<p>
- HBase ia an open-source, distributed, column-oriented store modeled after
the Google paper,
- <a href="http://labs.google.com/papers/bigtable.html";>Bigtable: A
Distributed Storage System for Structured Data</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's goal is the hosting of very large tables -- billions of rows X
millions of columns
- -- atop clusters of commodity hardware.
- </p>
+HBase is the Hadoop database. Use it 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.
+</p>
+<p>HBase ia an open-source, distributed, column-oriented store modeled after
Google'
+<a href="http://labs.google.com/papers/bigtable.html";>Bigtable: A Distributed
Storage System for Structured Data</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 also includes:
+ <ul>
+<li>Convenient base classes for backing Hadoop MapReduce jobs with HBase tables
+ </li>
+
+<li>Query predicate push down via server side scan and get filters
+ </li>
+
+<li>Optimizations for real time queries
+ </li>
+
+<li>A high performance Thrift gateway
+ </li>
+
+<li>A REST-ful Web service gateway that supports XML, Protobuf, and binary
data encoding options
+ </li>
+
+<li>
+<a href="http://www.cascading.org";>Cascading</a> source and sink modules
+ </li>
+
+<li>Extensible <a href="http://jruby.org";>jruby</a>-based (JIRB) shell
+ </li>
+
+<li>Support for exporting metrics via the Hadoop metrics subsystem to files or
Ganglia; or via JMX
+ </li>
+
+</ul>
+This most recent version of HBase, 0.20.0, has greatly improved on its
predecessors:
+
+ <ul>
+<li>No HBase single point of failure
+ </li>
+
+<li>Rolling restart for configuration changes and minor upgrades
+ </li>
+
+<li>Random access performance on par with open source relational databases
such as MySQL
+ </li>
+
+</ul>
+
+</p>
</div>
-<a name="N10023"></a><a name="News"></a>
+<a name="N1004F"></a><a name="News"></a>
<h2 class="h3">News</h2>
<div class="section">
-<a name="N10029"></a><a
name="HBase+0.20.0+released%21+September+8th%2C+2009"></a>
+<a name="N10055"></a><a
name="HBase+0.20.0+released%21+September+8th%2C+2009"></a>
<h3 class="h4">HBase 0.20.0 released! September 8th, 2009</h3>
<p>HBase 0.20.0 is faster, stronger, slimmer, and sweeter tasting than any
previous HBase release. Get it off the <a href="releases.html">Releases</a>
page.</p>
-<a name="N10037"></a><a name="HBase+at"></a>
+<a name="N10063"></a><a name="HBase+at"></a>
<h3 class="h4">HBase at ApacheCon in Oakland: November 2-6th, 2009</h3>
<p>The Apache Foundation will be celebrating its 10th anniversary in beautiful
Oakland by the Bay. Lots of good talks and meetups including an HBase
presentation by a couple of the lads.</p>
-<a name="N10045"></a><a
name="HBase+at+Hadoop+World+in+NYC%3A+October+2nd%2C+2009"></a>
+<a name="N10071"></a><a
name="HBase+at+Hadoop+World+in+NYC%3A+October+2nd%2C+2009"></a>
<h3 class="h4">HBase at Hadoop World in NYC: October 2nd, 2009</h3>
<p>A few of us will be talking on Practical HBase out east at <a
href="http://www.cloudera.com/hadoop-world-nyc";>Hadoop World: NYC</a>.</p>
-<a name="N10053"></a><a
name="HUG7+and+HBase+Hackathon%3A+August+7th-9th%2C+2009+at+StumbleUpon+in+SF"></a>
+<a name="N1007F"></a><a
name="HUG7+and+HBase+Hackathon%3A+August+7th-9th%2C+2009+at+StumbleUpon+in+SF"></a>
<h3 class="h4">HUG7 and HBase Hackathon: August 7th-9th, 2009 at StumbleUpon
in SF</h3>
<p>Sign up for the <a
href="http://www.meetup.com/hbaseusergroup/calendar/10950511/";>HBase User Group
Meeting #7</a> or for the <a
href="http://www.meetup.com/hackathon/calendar/10951718/";>Hackathon</a> or for
both (all are welcome!).</p>
-<a name="N10065"></a><a
name="June%2C+2009+--+HBase+at+HadoopSummit2009+and+at+NOSQL"></a>
+<a name="N10091"></a><a
name="June%2C+2009+--+HBase+at+HadoopSummit2009+and+at+NOSQL"></a>
<h3 class="h4">June, 2009 -- HBase at HadoopSummit2009 and at NOSQL</h3>
<p>See the <a
href="http://wiki.apache.org/hadoop/HBase/HBasePresentations";>presentations</a>
</p>
-<a name="N10072"></a><a name="March+3rd%2C+2009+--+HUG6"></a>
+<a name="N1009E"></a><a name="March+3rd%2C+2009+--+HUG6"></a>
<h3 class="h4">March 3rd, 2009 -- HUG6</h3>
<p>
<a href="http://www.meetup.com/hbaseusergroup/calendar/9764004/";>HBase User
Group 6</a>
</p>
-<a name="N1007E"></a><a name="January+30th%2C+2009+--+LA+Hbackathon"></a>
+<a name="N100AA"></a><a name="January+30th%2C+2009+--+LA+Hbackathon"></a>
<h3 class="h4">January 30th, 2009 -- LA Hbackathon</h3>
<p>
<a href="http://www.meetup.com/hbasela/calendar/9450876/";>HBase January
Hackathon Los Angeles</a> at <a href="http://streamy.com";>Streamy</a> in
Manhattan Beach</p>
</div>
-<a name="N10090"></a><a name="Getting+Started"></a>
+<a name="N100BC"></a><a name="Getting+Started"></a>
<h2 class="h3">Getting Started</h2>
<div class="section">
<p>
@@ -246,7 +285,7 @@
</div>
-<a name="N100A9"></a><a name="Getting+Involved"></a>
+<a name="N100D5"></a><a name="Getting+Involved"></a>
<h2 class="h3"> Getting Involved </h2>
<div class="section">
<p>
Modified: hadoop/hbase/site/publish/index.pdf
URL:
http://svn.apache.org/viewvc/hadoop/hbase/site/publish/index.pdf?rev=821932&r1=821931&r2=821932&view=diff
==============================================================================
Files hadoop/hbase/site/publish/index.pdf (original) and
hadoop/hbase/site/publish/index.pdf Mon Oct 5 17:44:38 2009 differ
![http://www.nga.gov/image/a0000f/a0000f88.jpg"](http://www.nga.gov/image/a0000f/a0000f88.jpg"){kind=link}