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Posted to commits@spark.apache.org by pw...@apache.org on 2014/09/12 02:01:10 UTC
svn commit: r1624424 - in /spark:
news/_posts/2014-09-11-spark-1-1-0-released.md site/news/index.html
site/news/spark-1-1-0-released.html
Author: pwendell
Date: Fri Sep 12 00:01:09 2014
New Revision: 1624424
URL: http://svn.apache.org/r1624424
Log:
Minor typo's in the release post
Modified:
spark/news/_posts/2014-09-11-spark-1-1-0-released.md
spark/site/news/index.html
spark/site/news/spark-1-1-0-released.html
Modified: spark/news/_posts/2014-09-11-spark-1-1-0-released.md
URL: http://svn.apache.org/viewvc/spark/news/_posts/2014-09-11-spark-1-1-0-released.md?rev=1624424&r1=1624423&r2=1624424&view=diff
==============================================================================
--- spark/news/_posts/2014-09-11-spark-1-1-0-released.md (original)
+++ spark/news/_posts/2014-09-11-spark-1-1-0-released.md Fri Sep 12 00:01:09 2014
@@ -11,8 +11,8 @@ meta:
_edit_last: '4'
_wpas_done_all: '1'
---
-We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark's largest release ever, with contributions from 173 developers.
+We are happy to announce the availability of <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark's largest release ever, with contributions from 173 developers!
-This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. This adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, and other feature and performance improvements. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Sparkâs Python support and adds new components to the Spark Streaming module.
+This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other feature and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Sparkâs Python support and adds new components to the Spark Streaming module.
Visit the <a href="{{site.url}}releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">release notes</a> to read about the new features, or <a href="{{site.url}}downloads.html">download</a> the release today.
Modified: spark/site/news/index.html
URL: http://svn.apache.org/viewvc/spark/site/news/index.html?rev=1624424&r1=1624423&r2=1624424&view=diff
==============================================================================
--- spark/site/news/index.html (original)
+++ spark/site/news/index.html Fri Sep 12 00:01:09 2014
@@ -169,7 +169,7 @@
<h3 class="entry-title"><a href="/news/spark-1-1-0-released.html">Spark 1.1.0 released</a></h3>
<div class="entry-date">September 11, 2014</div>
</header>
- <div class="entry-content"><p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark’s largest release ever, with contributions from 173 developers. </p>
+ <div class="entry-content"><p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark’s largest release ever, with contributions from 173 developers!</p>
</div>
</article>
Modified: spark/site/news/spark-1-1-0-released.html
URL: http://svn.apache.org/viewvc/spark/site/news/spark-1-1-0-released.html?rev=1624424&r1=1624423&r2=1624424&view=diff
==============================================================================
--- spark/site/news/spark-1-1-0-released.html (original)
+++ spark/site/news/spark-1-1-0-released.html Fri Sep 12 00:01:09 2014
@@ -165,9 +165,9 @@
<h2>Spark 1.1.0 released</h2>
-<p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release in API-compatible 1.X line. It is Spark’s largest release ever, with contributions from 173 developers. </p>
+<p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark’s largest release ever, with contributions from 173 developers!</p>
-<p>This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. This adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, and other feature and performance improvements. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Sparkâs Python support and adds new components to the Spark Streaming module. </p>
+<p>This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other feature and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Sparkâs Python support and adds new components to the Spark Streaming module. </p>
<p>Visit the <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
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