Author: lidong
Date: Fri Aug 18 14:01:43 2017
New Revision: 1805431

URL: http://svn.apache.org/viewvc?rev=1805431&view=rev
Log:
update howto_release doc

Modified:
    kylin/site/development/howto_release.html
    kylin/site/feed.xml

Modified: kylin/site/development/howto_release.html
URL: 
http://svn.apache.org/viewvc/kylin/site/development/howto_release.html?rev=1805431&r1=1805430&r2=1805431&view=diff
==============================================================================
--- kylin/site/development/howto_release.html (original)
+++ kylin/site/development/howto_release.html Fri Aug 18 14:01:43 2017
@@ -1017,24 +1017,21 @@ Please notice to always use your Apache
 
 <p>Here is a sample of announcement email (by studying Kafka’s):</p>
 
-<div class="highlight"><pre><code class="language-text" data-lang="text">The 
Apache Kylin team is pleased to announce the immediate availability of the 
x.y.z release. 
+<div class="highlight"><pre><code class="language-text" data-lang="text">The 
Apache Kylin team is pleased to announce the immediate availability of the 
2.1.0 release. 
 
-This is a bug fix release based on 1.5.2.1; All of the changes in this release 
can be found in:
-https://kylin.apache.org/docs15/release_notes.html
+This is a major release after 2.0, with more than 100 bug fixes and 
enhancements; All of the changes in this release can be found in:
+https://kylin.apache.org/docs21/release_notes.html
 
-You can download the source release and binary packages from 
-https://www.apache.org/dyn/closer.cgi?path=/kylin/apache-kylin-1.5.2.1/
-
-More information about the binary packages is on Apache Kylin's download page 
https://kylin.apache.org/download/
+You can download the source release and binary packages from Apache Kylin's 
download page: https://kylin.apache.org/download/
 
 Apache Kylin is an open source Distributed Analytics Engine designed to 
provide SQL interface and multi-dimensional analysis (OLAP) on Apache Hadoop, 
supporting extremely large datasets.
 
 Apache Kylin lets you query massive data set at sub-second latency in 3 steps:
-1. Identify a Star Schema data on Hadoop.
+1. Identify a star schema or snowflake schema data set on Hadoop.
 2. Build Cube on Hadoop.
 3. Query data with ANSI-SQL and get results in sub-second, via ODBC, JDBC or 
RESTful API.
 
-Thanks everyone who have contributed to the x.y.z release.
+Thanks everyone who have contributed to the 2.1.0 release.
 
 We welcome your help and feedback. For more information on how to
 report problems, and to get involved, visit the project website at

Modified: kylin/site/feed.xml
URL: 
http://svn.apache.org/viewvc/kylin/site/feed.xml?rev=1805431&r1=1805430&r2=1805431&view=diff
==============================================================================
--- kylin/site/feed.xml (original)
+++ kylin/site/feed.xml Fri Aug 18 14:01:43 2017
@@ -19,8 +19,8 @@
     <description>Apache Kylin Home</description>
     <link>http://kylin.apache.org/</link>
     <atom:link href="http://kylin.apache.org/feed.xml"; rel="self" 
type="application/rss+xml"/>
-    <pubDate>Fri, 18 Aug 2017 00:01:08 -0700</pubDate>
-    <lastBuildDate>Fri, 18 Aug 2017 00:01:08 -0700</lastBuildDate>
+    <pubDate>Fri, 18 Aug 2017 06:59:28 -0700</pubDate>
+    <lastBuildDate>Fri, 18 Aug 2017 06:59:28 -0700</lastBuildDate>
     <generator>Jekyll v2.5.3</generator>
     
       <item>


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