svn commit: r1563798 - in /incubator/spark: news/_posts/2014-02-02-spark-0-9-0-released.md site/news/index.html site/news/spark-0-9-0-released.html

[pw...@apache.org]

Author: pwendell
Date: Mon Feb  3 08:23:41 2014
New Revision: 1563798

URL: http://svn.apache.org/r1563798
Log:
"We're" -> "We are"

Modified:
    incubator/spark/news/_posts/2014-02-02-spark-0-9-0-released.md
    incubator/spark/site/news/index.html
    incubator/spark/site/news/spark-0-9-0-released.html

Modified: incubator/spark/news/_posts/2014-02-02-spark-0-9-0-released.md
URL: http://svn.apache.org/viewvc/incubator/spark/news/_posts/2014-02-02-spark-0-9-0-released.md?rev=1563798&r1=1563797&r2=1563798&view=diff
==============================================================================
--- incubator/spark/news/_posts/2014-02-02-spark-0-9-0-released.md (original)
+++ incubator/spark/news/_posts/2014-02-02-spark-0-9-0-released.md Mon Feb  3 08:23:41 2014
@@ -11,7 +11,7 @@ meta:
   _edit_last: '4'
   _wpas_done_all: '1'
 ---
-We're happy to announce the availability of <a href="{{site.url}}releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
+We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
 Spark 0.9.0</a>! Spark 0.9.0 is a major release and Spark's largest release ever, with contributions from 83 developers. 
 This release expands Spark's standard libraries, introducing a new graph computation package (GraphX) and adding several new features to the machine learning and stream-processing packages. It also makes major improvements to the core engine,
 including external aggregations, a simplified H/A mode for long lived applications, and 

Modified: incubator/spark/site/news/index.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/index.html?rev=1563798&r1=1563797&r2=1563798&view=diff
==============================================================================
--- incubator/spark/site/news/index.html (original)
+++ incubator/spark/site/news/index.html Mon Feb  3 08:23:41 2014
@@ -164,7 +164,7 @@
       <h3 class="entry-title"><a href="/news/spark-0-9-0-released.html">Spark 0.9.0 released</a></h3>
       <div class="entry-date">February 2, 2014</div>
     </header>
-    <div class="entry-content"><p>We&#8217;re happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
+    <div class="entry-content"><p>We are happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
 Spark 0.9.0</a>! Spark 0.9.0 is a major release and Spark&#8217;s largest release ever, with contributions from 83 developers. 
 This release expands Spark&#8217;s standard libraries, introducing a new graph computation package (GraphX) and adding several new features to the machine learning and stream-processing packages. It also makes major improvements to the core engine,
 including external aggregations, a simplified H/A mode for long lived applications, and 

Modified: incubator/spark/site/news/spark-0-9-0-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-9-0-released.html?rev=1563798&r1=1563797&r2=1563798&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-9-0-released.html (original)
+++ incubator/spark/site/news/spark-0-9-0-released.html Mon Feb  3 08:23:41 2014
@@ -160,7 +160,7 @@
     <h2>Spark 0.9.0 released</h2>
 
 
-<p>We&#8217;re happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
+<p>We are happy to announce the availability of <a href="/releases/spark-release-0-9-0.html" title="Spark Release 0.9.0">
 Spark 0.9.0</a>! Spark 0.9.0 is a major release and Spark&#8217;s largest release ever, with contributions from 83 developers. 
 This release expands Spark&#8217;s standard libraries, introducing a new graph computation package (GraphX) and adding several new features to the machine learning and stream-processing packages. It also makes major improvements to the core engine,
 including external aggregations, a simplified H/A mode for long lived applications, and