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authorPatrick Wendell <pwendell@apache.org>2014-07-12 00:41:27 +0000
committerPatrick Wendell <pwendell@apache.org>2014-07-12 00:41:27 +0000
commitac807a0867562c68243f3d93df6c2f9600d2d799 (patch)
treec1bc70b3383d115e82de9c7f6fe7726ab77c3bbe /site/news/run-spark-and-shark-on-amazon-emr.html
parent0beac4e243f85e71554fe04093b09eb1745fea82 (diff)
downloadspark-website-ac807a0867562c68243f3d93df6c2f9600d2d799.tar.gz
spark-website-ac807a0867562c68243f3d93df6c2f9600d2d799.tar.bz2
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Adding 1.0.1 release of Spark.
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+++ b/site/news/run-spark-and-shark-on-amazon-emr.html
@@ -96,7 +96,7 @@
</a>
<ul class="dropdown-menu">
<li><a href="/documentation.html">Overview</a></li>
- <li><a href="/docs/latest/">Latest Release (Spark 1.0)</a></li>
+ <li><a href="/docs/latest/">Latest Release (Spark 1.0.1)</a></li>
<li><a href="/examples.html">Examples</a></li>
</ul>
</li>
@@ -124,6 +124,9 @@
<h5>Latest News</h5>
<ul class="list-unstyled">
+ <li><a href="/news/spark-1-0-1-released.html">Spark 1.0.1 released</a>
+ <span class="small">(Jul 11, 2014)</span></li>
+
<li><a href="/news/two-weeks-to-spark-summit-2014.html">Two weeks to Spark Summit 2014</a>
<span class="small">(Jun 16, 2014)</span></li>
@@ -133,9 +136,6 @@
<li><a href="/news/spark-summit-agenda-posted.html">Spark Summit agenda posted</a>
<span class="small">(May 11, 2014)</span></li>
- <li><a href="/news/spark-0-9-1-released.html">Spark 0.9.1 released</a>
- <span class="small">(Apr 09, 2014)</span></li>
-
</ul>
<p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p>
</div>
@@ -160,7 +160,7 @@
<h2>Spark/Shark Tutorial for Amazon EMR</h2>
-<p>This weekend, Amazon posted an <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">article</a> and code that make it easy to launch Spark and Shark on Elastic MapReduce. The article includes examples of how to run both interactive Scala commands and SQL queries from Shark on data in S3. Head over to the <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">Amazon article</a> for details. We’re very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p>
+<p>This weekend, Amazon posted an <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">article</a> and code that make it easy to launch Spark and Shark on Elastic MapReduce. The article includes examples of how to run both interactive Scala commands and SQL queries from Shark on data in S3. Head over to the <a href="http://aws.amazon.com/articles/Elastic-MapReduce/4926593393724923">Amazon article</a> for details. We&#8217;re very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p>
<p>