Updates for Spark 0.9.0 release.

1 files changed, 7 insertions, 7 deletions

diff --git a/site/releases/spark-release-0-5-0.html b/site/releases/spark-release-0-5-0.html
index ce64ef7bd..16a1044f1 100644
--- a/site/releases/spark-release-0-5-0.html
+++ b/site/releases/spark-release-0-5-0.html
@@ -124,6 +124,9 @@
       <h5>Latest News</h5>
       <ul class="list-unstyled">
         
+          <li><a href="/news/spark-0-9-0-released.html">Spark 0.9.0 released</a>
+          <span class="small">(Feb 02, 2014)</span></li>
+        
           <li><a href="/news/spark-0-8-1-released.html">Spark 0.8.1 released</a>
           <span class="small">(Dec 19, 2013)</span></li>
         
@@ -133,9 +136,6 @@
           <li><a href="/news/announcing-the-first-spark-summit.html">Announcing the first Spark Summit: December 2, 2013</a>
           <span class="small">(Oct 08, 2013)</span></li>
         
-          <li><a href="/news/spark-0-8-0-released.html">Spark 0.8.0 released</a>
-          <span class="small">(Sep 25, 2013)</span></li>
-        
       </ul>
       <p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p>
     </div>
@@ -164,10 +164,10 @@
 
 <h3>Mesos 0.9 Support</h3>
 
-<p>This release runs on <a href="http://www.mesosproject.org/">Apache Mesos 0.9</a>, the first Apache Incubator release of Mesos, which contains significant usability and stability improvements.  Most notable are better memory accounting for applications with long-term memory use, easier access of old jobs’ traces and logs (by keeping a history of executed tasks on the web UI), and simpler installation.</p>
+<p>This release runs on <a href="http://www.mesosproject.org/">Apache Mesos 0.9</a>, the first Apache Incubator release of Mesos, which contains significant usability and stability improvements.  Most notable are better memory accounting for applications with long-term memory use, easier access of old jobs&#8217; traces and logs (by keeping a history of executed tasks on the web UI), and simpler installation.</p>
 
 <h3>Performance Improvements</h3>
-<p>Spark’s scheduling is more communication-efficient when sending out operations on RDDs with large lineage graphs. In addition, the cache replacement policy has been improved to more smartly replace data when an RDD does not fit in the cache, shuffles are more efficient, and the serializer used for shipping closures is now configurable, making it possible to use faster libraries than Java serialization there.</p>
+<p>Spark&#8217;s scheduling is more communication-efficient when sending out operations on RDDs with large lineage graphs. In addition, the cache replacement policy has been improved to more smartly replace data when an RDD does not fit in the cache, shuffles are more efficient, and the serializer used for shipping closures is now configurable, making it possible to use faster libraries than Java serialization there.</p>
 
 <h3>Debug Improvements</h3>
 
@@ -179,11 +179,11 @@
 
 <h3>EC2 Launch Script Improvements</h3>
 
-<p>Spark’s EC2 launch scripts are now included in the main package, and have the ability to discover and use the latest Spark AMI automatically instead of launching a hardcoded machine image ID.</p>
+<p>Spark&#8217;s EC2 launch scripts are now included in the main package, and have the ability to discover and use the latest Spark AMI automatically instead of launching a hardcoded machine image ID.</p>
 
 <h3>New Hadoop API Support</h3>
 
-<p>You can now use Spark to read and write data to storage formats in the new <tt>org.apache.mapreduce</tt> packages (the “new Hadoop” API). In addition, this release fixes an issue caused by a HDFS initialization bug in some recent versions of HDFS.</p>
+<p>You can now use Spark to read and write data to storage formats in the new <tt>org.apache.mapreduce</tt> packages (the &#8220;new Hadoop&#8221; API). In addition, this release fixes an issue caused by a HDFS initialization bug in some recent versions of HDFS.</p>
 
 
 <p>