You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@spark.apache.org by pw...@apache.org on 2014/09/12 02:08:20 UTC
svn commit: r1624427 - in /spark:
news/_posts/2014-09-11-spark-1-1-0-released.md
releases/_posts/2014-09-11-spark-release-1-1-0.md
site/news/spark-1-1-0-released.html site/releases/spark-release-1-1-0.html
Author: pwendell
Date: Fri Sep 12 00:08:19 2014
New Revision: 1624427
URL: http://svn.apache.org/r1624427
Log:
More 1.1 typo fixes
Modified:
spark/news/_posts/2014-09-11-spark-1-1-0-released.md
spark/releases/_posts/2014-09-11-spark-release-1-1-0.md
spark/site/news/spark-1-1-0-released.html
spark/site/releases/spark-release-1-1-0.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=1624427&r1=1624426&r2=1624427&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 00:08:19 2014
@@ -13,6 +13,6 @@ meta:
---
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. 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.
+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 features 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/releases/_posts/2014-09-11-spark-release-1-1-0.md
URL: http://svn.apache.org/viewvc/spark/releases/_posts/2014-09-11-spark-release-1-1-0.md?rev=1624427&r1=1624426&r2=1624427&view=diff
==============================================================================
--- spark/releases/_posts/2014-09-11-spark-release-1-1-0.md (original)
+++ spark/releases/_posts/2014-09-11-spark-release-1-1-0.md Fri Sep 12 00:08:19 2014
@@ -48,11 +48,11 @@ Spark 1.1.0 is backwards compatible with
### Contributors:
* Aaron Davidson -- PySpark optimizations, fixes and optimizations in Spark core
- * Aaron Staple -- Fixes in Spark core Spark SQL
+ * Aaron Staple -- fixes in Spark core Spark SQL
* Ahir Reddy -- Spark SQL fix
- * Albert Chu -- Config fix
+ * Albert Chu -- config fix
* Alexander Ulanov -- Multiclass evaluation metrics in MLlib
- * Alex Liu -- Bug fix
+ * Alex Liu -- bug fix
* Ali Ghodsi -- doc fix
* Allan Douglas R. de Oliveira -- EC2 script enhancements and coGroup fix
* Ameet Talwalker -- MLlib docs
@@ -174,7 +174,7 @@ Spark 1.1.0 is backwards compatible with
* Rishi Verma -- doc fix
* RJ Nowling -- code clean-up
* Rui Li -- bug fixes
- * Sameer Agarwal -- but fix
+ * Sameer Agarwal -- bug fix
* Sandy Ryza -- performance improvements, spark configs, and YARN fixes
* Sarah Gerweck -- bug fix
* Sean Owen -- bug fixes and build fixes in core and MLlib
@@ -197,7 +197,7 @@ Spark 1.1.0 is backwards compatible with
* Vida Ha -- EC2 fixes
* Vlad -- doc fix
* Wangfei Shi -- bug and build fixes
- * Wang Lianhui bug fixes
+ * Wang Lianhui -- bug fixes
* Wang Tao -- bug fix
* Wenchen Fan -- memory leak fix
* William Benton -- bug fixes in core and SQL, improvements in Spark SQL
@@ -212,7 +212,7 @@ Spark 1.1.0 is backwards compatible with
* Yantangz Hai -- bug fix
* Ye Xianjin -- bug fix
* Yijie Shen -- bug fix
- * Yin Huai -- several additions to Spark SQL. lead on JSON support and types API.
+ * Yin Huai -- several additions to Spark SQL, lead on JSON support and types API.
* Yi Tian -- SQL fix
* Zhang Liye -- bug fix
* Zhen Peng -- bug fixes
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=1624427&r1=1624426&r2=1624427&view=diff
==============================================================================
--- spark/site/news/spark-1-1-0-released.html (original)
+++ spark/site/news/spark-1-1-0-released.html Fri Sep 12 00:08:19 2014
@@ -167,7 +167,7 @@
<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. 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>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 features 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>
Modified: spark/site/releases/spark-release-1-1-0.html
URL: http://svn.apache.org/viewvc/spark/site/releases/spark-release-1-1-0.html?rev=1624427&r1=1624426&r2=1624427&view=diff
==============================================================================
--- spark/site/releases/spark-release-1-1-0.html (original)
+++ spark/site/releases/spark-release-1-1-0.html Fri Sep 12 00:08:19 2014
@@ -209,11 +209,11 @@
<h3 id="contributors">Contributors:</h3>
<ul>
<li>Aaron Davidson – PySpark optimizations, fixes and optimizations in Spark core</li>
- <li>Aaron Staple – Fixes in Spark core Spark SQL</li>
+ <li>Aaron Staple – fixes in Spark core Spark SQL</li>
<li>Ahir Reddy – Spark SQL fix</li>
- <li>Albert Chu – Config fix</li>
+ <li>Albert Chu – config fix</li>
<li>Alexander Ulanov – Multiclass evaluation metrics in MLlib</li>
- <li>Alex Liu – Bug fix</li>
+ <li>Alex Liu – bug fix</li>
<li>Ali Ghodsi – doc fix</li>
<li>Allan Douglas R. de Oliveira – EC2 script enhancements and coGroup fix</li>
<li>Ameet Talwalker – MLlib docs</li>
@@ -335,7 +335,7 @@
<li>Rishi Verma – doc fix</li>
<li>RJ Nowling – code clean-up</li>
<li>Rui Li – bug fixes</li>
- <li>Sameer Agarwal – but fix</li>
+ <li>Sameer Agarwal – bug fix</li>
<li>Sandy Ryza – performance improvements, spark configs, and YARN fixes</li>
<li>Sarah Gerweck – bug fix</li>
<li>Sean Owen – bug fixes and build fixes in core and MLlib</li>
@@ -358,7 +358,7 @@
<li>Vida Ha – EC2 fixes</li>
<li>Vlad – doc fix</li>
<li>Wangfei Shi – bug and build fixes</li>
- <li>Wang Lianhui bug fixes</li>
+ <li>Wang Lianhui – bug fixes</li>
<li>Wang Tao – bug fix</li>
<li>Wenchen Fan – memory leak fix</li>
<li>William Benton – bug fixes in core and SQL, improvements in Spark SQL</li>
@@ -373,7 +373,7 @@
<li>Yantangz Hai – bug fix</li>
<li>Ye Xianjin – bug fix</li>
<li>Yijie Shen – bug fix</li>
- <li>Yin Huai – several additions to Spark SQL. lead on JSON support and types API.</li>
+ <li>Yin Huai – several additions to Spark SQL, lead on JSON support and types API.</li>
<li>Yi Tian – SQL fix</li>
<li>Zhang Liye – bug fix</li>
<li>Zhen Peng – bug fixes</li>
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@spark.apache.org
For additional commands, e-mail: commits-help@spark.apache.org