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Posted to commits@spark.apache.org by ma...@apache.org on 2014/01/08 06:43:23 UTC
svn commit: r1556448 [1/2] - in /incubator/spark: ./ site/ site/news/
site/releases/ site/screencasts/
Author: matei
Date: Wed Jan 8 05:43:23 2014
New Revision: 1556448
URL: http://svn.apache.org/r1556448
Log:
Added links to Nabble archvies of mailing lists
Modified:
incubator/spark/mailing-lists.md
incubator/spark/site/downloads.html
incubator/spark/site/mailing-lists.html
incubator/spark/site/news/amp-camp-2013-registration-ope.html
incubator/spark/site/news/index.html
incubator/spark/site/news/run-spark-and-shark-on-amazon-emr.html
incubator/spark/site/news/spark-0-6-1-and-0-5-2-released.html
incubator/spark/site/news/spark-0-7-0-released.html
incubator/spark/site/news/spark-0-7-2-released.html
incubator/spark/site/news/spark-0-7-3-released.html
incubator/spark/site/news/spark-0-8-0-released.html
incubator/spark/site/news/spark-0-8-1-released.html
incubator/spark/site/news/spark-and-shark-in-the-news.html
incubator/spark/site/news/spark-meetups.html
incubator/spark/site/news/spark-user-survey-and-powered-by-page.html
incubator/spark/site/news/strata-exercises-now-available-online.html
incubator/spark/site/news/video-from-first-spark-development-meetup.html
incubator/spark/site/releases/spark-release-0-3.html
incubator/spark/site/releases/spark-release-0-5-0.html
incubator/spark/site/releases/spark-release-0-5-1.html
incubator/spark/site/releases/spark-release-0-6-0.html
incubator/spark/site/releases/spark-release-0-7-0.html
incubator/spark/site/releases/spark-release-0-8-0.html
incubator/spark/site/releases/spark-release-0-8-1.html
incubator/spark/site/screencasts/3-transformations-and-caching.html
incubator/spark/site/screencasts/4-a-standalone-job-in-spark.html
incubator/spark/site/screencasts/index.html
Modified: incubator/spark/mailing-lists.md
URL: http://svn.apache.org/viewvc/incubator/spark/mailing-lists.md?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/mailing-lists.md (original)
+++ incubator/spark/mailing-lists.md Wed Jan 8 05:43:23 2014
@@ -11,10 +11,10 @@ navigation:
<p>Get help using Spark or contribute to the project on our mailing lists:</p>
<ul>
<li>
- <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-user/">user@spark.incubator.apache.org</a> is for usage questions, help, and announcements. <a href="mailto:user-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-user/">(archives)</a>
+ <a href="http://apache-spark-user-list.1001560.n3.nabble.com">user@spark.incubator.apache.org</a> is for usage questions, help, and announcements. <a href="mailto:user-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://apache-spark-user-list.1001560.n3.nabble.com">(archives)</a>
</li>
<li>
- <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-dev/">dev@spark.incubator.apache.org</a> is for people who want to contribute code to Spark. <a href="mailto:dev-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-dev/">(archives)</a>
+ <a href="http://apache-spark-developers-list.1001551.n3.nabble.com">dev@spark.incubator.apache.org</a> is for people who want to contribute code to Spark. <a href="mailto:dev-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://apache-spark-developers-list.1001551.n3.nabble.com">(archives)</a>
</li>
</ul>
@@ -22,18 +22,11 @@ navigation:
<p>We host a regular <a href="http://www.meetup.com/spark-users/">Bay Area Spark User Meetup</a> where you can meet the community in person. The meetup.com page also contains an <a href="http://www.meetup.com/spark-users/events/past/">archive of past meetups</a>, and <a href="http://www.meetup.com/spark-users/files/">slides</a> from them.</p>
+<h2>Spark Summit</h2>
+
+<p>In December 2013, we held the first <a href="http://spark-summit.org">Spark Summit</a>, with 29 talks from throughout the Apache Spark community. Visit the <a href="http://spark-summit.org/summit-2013/">Summit archive page</a> for slides and videos of all the talks.</p>
+
<h2>Issue Tracker</h2>
<p>The project tracks bugs and new features on <a href="https://spark-project.atlassian.net/browse/SPARK">JIRA</a>. If you'd like, you can also subscribe to the <a href="http://groups.google.com/group/spark-issues">spark-issues</a> group to receive emails about new or updated issues.</p>
-<h2>Old Mailing Lists</h2>
-
-<p>The following Google Groups contain Spark usage and developer discussions from before the transition to Apache. They will become read-only in September 2013:</p>
-<ul>
- <li>
- <a href="http://groups.google.com/group/spark-users">spark-users</a> -- usage questions, help, and announcements.
- </li>
- <li>
- <a href="http://groups.google.com/group/spark-developers">spark-developers</a> -- code contributor discussion.
- </li>
-</ul>
Modified: incubator/spark/site/downloads.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/downloads.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/downloads.html (original)
+++ incubator/spark/site/downloads.html Wed Jan 8 05:43:23 2014
@@ -163,7 +163,7 @@ version: 0.8.1-incubating
<h3 id="development-version">Development Version</h3>
<p>If you are interested in working with the newest under-development code or contributing to Spark development, you can also check out the master branch from Git: <tt>git clone git://github.com/apache/incubator-spark.git</tt>.</p>
-<p>Once you’ve downloaded Spark, you can find instructions for installing and building it on the <a href="/documentation.html">documentation page</a>.</p>
+<p>Once youâve downloaded Spark, you can find instructions for installing and building it on the <a href="/documentation.html">documentation page</a>.</p>
<h3 id="previous-releases">Previous Releases</h3>
<ul>
Modified: incubator/spark/site/mailing-lists.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/mailing-lists.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/mailing-lists.html (original)
+++ incubator/spark/site/mailing-lists.html Wed Jan 8 05:43:23 2014
@@ -134,10 +134,10 @@
<p>Get help using Spark or contribute to the project on our mailing lists:</p>
<ul>
<li>
- <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-user/">user@spark.incubator.apache.org</a> is for usage questions, help, and announcements. <a href="mailto:user-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-user/">(archives)</a>
+ <a href="http://apache-spark-user-list.1001560.n3.nabble.com">user@spark.incubator.apache.org</a> is for usage questions, help, and announcements. <a href="mailto:user-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://apache-spark-user-list.1001560.n3.nabble.com">(archives)</a>
</li>
<li>
- <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-dev/">dev@spark.incubator.apache.org</a> is for people who want to contribute code to Spark. <a href="mailto:dev-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://mail-archives.apache.org/mod_mbox/incubator-spark-dev/">(archives)</a>
+ <a href="http://apache-spark-developers-list.1001551.n3.nabble.com">dev@spark.incubator.apache.org</a> is for people who want to contribute code to Spark. <a href="mailto:dev-subscribe@spark.incubator.apache.org?subject=(send%20this%20email%20to%20subscribe)">(subscribe)</a> <a href="http://apache-spark-developers-list.1001551.n3.nabble.com">(archives)</a>
</li>
</ul>
@@ -145,21 +145,14 @@
<p>We host a regular <a href="http://www.meetup.com/spark-users/">Bay Area Spark User Meetup</a> where you can meet the community in person. The meetup.com page also contains an <a href="http://www.meetup.com/spark-users/events/past/">archive of past meetups</a>, and <a href="http://www.meetup.com/spark-users/files/">slides</a> from them.</p>
+<h2>Spark Summit</h2>
+
+<p>In December 2013, we held the first <a href="http://spark-summit.org">Spark Summit</a>, with 29 talks from throughout the Apache Spark community. Visit the <a href="http://spark-summit.org/summit-2013/">Summit archive page</a> for slides and videos of all the talks.</p>
+
<h2>Issue Tracker</h2>
<p>The project tracks bugs and new features on <a href="https://spark-project.atlassian.net/browse/SPARK">JIRA</a>. If you'd like, you can also subscribe to the <a href="http://groups.google.com/group/spark-issues">spark-issues</a> group to receive emails about new or updated issues.</p>
-<h2>Old Mailing Lists</h2>
-
-<p>The following Google Groups contain Spark usage and developer discussions from before the transition to Apache. They will become read-only in September 2013:</p>
-<ul>
- <li>
- <a href="http://groups.google.com/group/spark-users">spark-users</a> -- usage questions, help, and announcements.
- </li>
- <li>
- <a href="http://groups.google.com/group/spark-developers">spark-developers</a> -- code contributor discussion.
- </li>
-</ul>
</article><!-- #post -->
Modified: incubator/spark/site/news/amp-camp-2013-registration-ope.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/amp-camp-2013-registration-ope.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/amp-camp-2013-registration-ope.html (original)
+++ incubator/spark/site/news/amp-camp-2013-registration-ope.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Registration open for AMP Camp training camp in Berkeley</h2>
-<p>Want to learn how to use Spark, Shark, GraphX, and related technologies in person? The AMP Lab is hosting a two-day training workshop for them on August 29th and 30th in Berkeley. The workshop will include tutorials, talks from users, and over four hours of hands-on exercises. <a href="http://ampcamp.berkeley.edu/amp-camp-three-berkeley-2013/">Registration is now open on the AMP Camp website</a>, for a price of $250 per person. We recommend signing up early because last year’s workshop was sold out.</p>
+<p>Want to learn how to use Spark, Shark, GraphX, and related technologies in person? The AMP Lab is hosting a two-day training workshop for them on August 29th and 30th in Berkeley. The workshop will include tutorials, talks from users, and over four hours of hands-on exercises. <a href="http://ampcamp.berkeley.edu/amp-camp-three-berkeley-2013/">Registration is now open on the AMP Camp website</a>, for a price of $250 per person. We recommend signing up early because last yearâs workshop was sold out.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/index.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/index.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/index.html (original)
+++ incubator/spark/site/news/index.html Wed Jan 8 05:43:23 2014
@@ -135,7 +135,7 @@
<h1 class="entry-title"><a href="/news/spark-0-8-1-released.html">Spark 0.8.1 released</a></h1>
<div class="entry-meta">December 19, 2013</div>
</header>
- <div class="entry-content"><p>We’ve just posted <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">Spark Release 0.8.1</a>, a maintenance and performance release for the Scala 2.9 version of Spark. 0.8.1 includes support for YARN 2.2, a high availability mode for the standalone scheduler, optimizations to the shuffle, and many other improvements. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+ <div class="entry-content"><p>Weâve just posted <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">Spark Release 0.8.1</a>, a maintenance and performance release for the Scala 2.9 version of Spark. 0.8.1 includes support for YARN 2.2, a high availability mode for the standalone scheduler, optimizations to the shuffle, and many other improvements. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</div>
</article>
@@ -165,7 +165,7 @@
<h1 class="entry-title"><a href="/news/spark-0-8-0-released.html">Spark 0.8.0 released</a></h1>
<div class="entry-meta">September 25, 2013</div>
</header>
- <div class="entry-content"><p>We’re proud to announce the release of <a href="/releases/spark-release-0-8-0.html" title="Spark Release 0.8.0">Apache Spark 0.8.0</a>. Spark 0.8.0 is a major release that includes many new capabilities and usability improvements. Itâs also our first release under the Apache incubator. It is the largest Spark release yet, with contributions from 67 developers and 24 companies. Major new features include an expanded monitoring framework and UI, a machine learning library, and support for running Spark inside of YARN.</p>
+ <div class="entry-content"><p>Weâre proud to announce the release of <a href="/releases/spark-release-0-8-0.html" title="Spark Release 0.8.0">Apache Spark 0.8.0</a>. Spark 0.8.0 is a major release that includes many new capabilities and usability improvements. Itâs also our first release under the Apache incubator. It is the largest Spark release yet, with contributions from 67 developers and 24 companies. Major new features include an expanded monitoring framework and UI, a machine learning library, and support for running Spark inside of YARN.</p>
</div>
</article>
@@ -175,7 +175,7 @@
<h1 class="entry-title"><a href="/news/spark-user-survey-and-powered-by-page.html">Spark user survey and "Powered By" page</a></h1>
<div class="entry-meta">September 05, 2013</div>
</header>
- <div class="entry-content"><p>As we continue developing Spark, we would love to get feedback from users and hear what you’d like us to work on next. We’ve decided that a good way to do that is a survey – we hope to run this at regular intervals. If you have a few minutes to participate, <a href="https://docs.google.com/forms/d/1eMXp4GjcIXglxJe5vYYBzXKVm-6AiYt1KThJwhCjJiY/viewform">fill in the survey here</a>. Your time is greatly appreciated.</p>
+ <div class="entry-content"><p>As we continue developing Spark, we would love to get feedback from users and hear what youâd like us to work on next. Weâve decided that a good way to do that is a survey â we hope to run this at regular intervals. If you have a few minutes to participate, <a href="https://docs.google.com/forms/d/1eMXp4GjcIXglxJe5vYYBzXKVm-6AiYt1KThJwhCjJiY/viewform">fill in the survey here</a>. Your time is greatly appreciated.</p>
</div>
</article>
@@ -195,7 +195,7 @@
<h1 class="entry-title"><a href="/news/amp-camp-2013-registration-ope.html">Registration open for AMP Camp training camp in Berkeley</a></h1>
<div class="entry-meta">July 23, 2013</div>
</header>
- <div class="entry-content"><p>Want to learn how to use Spark, Shark, GraphX, and related technologies in person? The AMP Lab is hosting a two-day training workshop for them on August 29th and 30th in Berkeley. The workshop will include tutorials, talks from users, and over four hours of hands-on exercises. <a href="http://ampcamp.berkeley.edu/amp-camp-three-berkeley-2013/">Registration is now open on the AMP Camp website</a>, for a price of $250 per person. We recommend signing up early because last year’s workshop was sold out.</p>
+ <div class="entry-content"><p>Want to learn how to use Spark, Shark, GraphX, and related technologies in person? The AMP Lab is hosting a two-day training workshop for them on August 29th and 30th in Berkeley. The workshop will include tutorials, talks from users, and over four hours of hands-on exercises. <a href="http://ampcamp.berkeley.edu/amp-camp-three-berkeley-2013/">Registration is now open on the AMP Camp website</a>, for a price of $250 per person. We recommend signing up early because last yearâs workshop was sold out.</p>
</div>
</article>
@@ -226,7 +226,7 @@
<h1 class="entry-title"><a href="/news/spark-0-7-3-released.html">Spark 0.7.3 released</a></h1>
<div class="entry-meta">July 16, 2013</div>
</header>
- <div class="entry-content"><p>We’ve just posted <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">Spark Release 0.7.3</a>, a maintenance release that contains several fixes, including streaming API updates and new functionality for adding JARs to a <code>spark-shell</code> session. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+ <div class="entry-content"><p>Weâve just posted <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">Spark Release 0.7.3</a>, a maintenance release that contains several fixes, including streaming API updates and new functionality for adding JARs to a <code>spark-shell</code> session. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</div>
</article>
@@ -256,7 +256,7 @@
<h1 class="entry-title"><a href="/news/spark-0-7-2-released.html">Spark 0.7.2 released</a></h1>
<div class="entry-meta">June 02, 2013</div>
</header>
- <div class="entry-content"><p>We’re happy to announce the release of <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">Spark 0.7.2</a>, a new maintenance release that includes several bug fixes and improvements, as well as new code examples and API features. We recommend that all users update to this release. Head over to the <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+ <div class="entry-content"><p>Weâre happy to announce the release of <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">Spark 0.7.2</a>, a new maintenance release that includes several bug fixes and improvements, as well as new code examples and API features. We recommend that all users update to this release. Head over to the <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</div>
</article>
@@ -282,7 +282,7 @@
<h1 class="entry-title"><a href="/news/strata-exercises-now-available-online.html">Strata exercises now available online</a></h1>
<div class="entry-meta">March 17, 2013</div>
</header>
- <div class="entry-content"><p>At this year’s <a href="http://strataconf.com/strata2013">Strata</a> conference, the AMP Lab hosted a full day of tutorials on Spark, Shark, and Spark Streaming, including online exercises on Amazon EC2. Those exercises are now <a href="http://ampcamp.berkeley.edu/big-data-mini-course/">available online</a>, letting you learn Spark and Shark at your own pace on an EC2 cluster with real data. They are a great resource for learning the systems. You can also find <a href="http://ampcamp.berkeley.edu/amp-camp-two-strata-2013/">slides</a> from the Strata tutorials online, as well as <a href="http://ampcamp.berkeley.edu/amp-camp-one-berkeley-2012/">videos</a> from the AMP Camp workshop we held at Berkeley in August.</p>
+ <div class="entry-content"><p>At this yearâs <a href="http://strataconf.com/strata2013">Strata</a> conference, the AMP Lab hosted a full day of tutorials on Spark, Shark, and Spark Streaming, including online exercises on Amazon EC2. Those exercises are now <a href="http://ampcamp.berkeley.edu/big-data-mini-course/">available online</a>, letting you learn Spark and Shark at your own pace on an EC2 cluster with real data. They are a great resource for learning the systems. You can also find <a href="http://ampcamp.berkeley.edu/amp-camp-two-strata-2013/">slides</a> from the Strata tutorials online, as well as <a href="http://ampcamp.berkeley.edu/amp-camp-one-berkeley-2012/">videos</a> from the AMP Camp workshop we held at Berkeley in August.</p>
</div>
</article>
@@ -292,7 +292,7 @@
<h1 class="entry-title"><a href="/news/spark-0-7-0-released.html">Spark 0.7.0 released</a></h1>
<div class="entry-meta">February 27, 2013</div>
</header>
- <div class="entry-content"><p>We’re proud to announce the release of <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">Spark 0.7.0</a>, a new major version of Spark that adds several key features, including a <a href="/docs/latest/python-programming-guide.html">Python API</a> for Spark and an <a href="/docs/latest/streaming-programming-guide.html">alpha of Spark Streaming</a>. This release is the result of the largest group of contributors yet behind a Spark release – 31 contributors from inside and outside Berkeley. Head over to the <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">release notes</a> to read more about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+ <div class="entry-content"><p>Weâre proud to announce the release of <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">Spark 0.7.0</a>, a new major version of Spark that adds several key features, including a <a href="/docs/latest/python-programming-guide.html">Python API</a> for Spark and an <a href="/docs/latest/streaming-programming-guide.html">alpha of Spark Streaming</a>. This release is the result of the largest group of contributors yet behind a Spark release â 31 contributors from inside and outside Berkeley. Head over to the <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">release notes</a> to read more about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</div>
</article>
@@ -302,7 +302,7 @@
<h1 class="entry-title"><a href="/news/run-spark-and-shark-on-amazon-emr.html">Spark/Shark Tutorial for Amazon EMR</a></h1>
<div class="entry-meta">February 24, 2013</div>
</header>
- <div class="entry-content"><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>
+ <div class="entry-content"><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. Weâre very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p>
</div>
</article>
@@ -337,7 +337,7 @@
<h1 class="entry-title"><a href="/news/video-from-first-spark-development-meetup.html">Video up from first Spark development meetup</a></h1>
<div class="entry-meta">December 21, 2012</div>
</header>
- <div class="entry-content"><p>On December 18th, we held the first of a series of Spark development meetups, for people interested in learning the Spark codebase and contributing to the project. There was quite a bit more demand than we anticipated, with over 80 people signing up and 64 attending. The first meetup was an <a href="http://www.meetup.com/spark-users/events/94101942/">introduction to Spark internals</a>. Thanks to one of the attendees, there’s now a <a href="http://www.youtube.com/watch?v=49Hr5xZyTEA">video of the meetup</a> on YouTube. We’ve also posted the <a href="http://files.meetup.com/3138542/dev-meetup-dec-2012.pptx">slides</a>. Look to see more development meetups on Spark and Shark in the future.</p>
+ <div class="entry-content"><p>On December 18th, we held the first of a series of Spark development meetups, for people interested in learning the Spark codebase and contributing to the project. There was quite a bit more demand than we anticipated, with over 80 people signing up and 64 attending. The first meetup was an <a href="http://www.meetup.com/spark-users/events/94101942/">introduction to Spark internals</a>. Thanks to one of the attendees, thereâs now a <a href="http://www.youtube.com/watch?v=49Hr5xZyTEA">video of the meetup</a> on YouTube. Weâve also posted the <a href="http://files.meetup.com/3138542/dev-meetup-dec-2012.pptx">slides</a>. Look to see more development meetups on Spark and Shark in the future.</p>
</div>
</article>
@@ -347,7 +347,7 @@
<h1 class="entry-title"><a href="/news/spark-and-shark-in-the-news.html">Spark and Shark in the news</a></h1>
<div class="entry-meta">December 21, 2012</div>
</header>
- <div class="entry-content"><p>Recently, we’ve seen quite a bit of coverage of both Spark and <a href="http://shark.cs.berkeley.edu">Shark</a> in the news. I wanted to list some of the more recent articles, for readers interested in learning more.</p>
+ <div class="entry-content"><p>Recently, weâve seen quite a bit of coverage of both Spark and <a href="http://shark.cs.berkeley.edu">Shark</a> in the news. I wanted to list some of the more recent articles, for readers interested in learning more.</p>
<ul>
<li>Curt Monash, editor of the popular DBMS2 blog, wrote a great <a href="http://www.dbms2.com/2012/12/13/introduction-to-spark-shark-bdas-and-amplab/">introduction to Spark and Shark</a>, as well as a more detailed <a href="http://www.dbms2.com/2012/12/13/spark-shark-and-rdds-technology-notes/">technical overview</a>.</li>
@@ -357,7 +357,7 @@
<li><a href="http://data-informed.com/spark-an-open-source-engine-for-iterative-data-mining/">DataInformed</a> interviewed two Spark users and wrote about their applications in anomaly detection, predictive analytics and data mining.</li>
</ul>
-<p>In other news, there will be a full day of tutorials on Spark and Shark at the <a href="http://strataconf.com/strata2013">O’Reilly Strata conference</a> in February. They include a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27438">introduction to Spark, Shark and BDAS</a> Tuesday morning, and a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27440">hands-on exercise session</a>. </p>
+<p>In other news, there will be a full day of tutorials on Spark and Shark at the <a href="http://strataconf.com/strata2013">OâReilly Strata conference</a> in February. They include a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27438">introduction to Spark, Shark and BDAS</a> Tuesday morning, and a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27440">hands-on exercise session</a>. </p>
</div>
</article>
@@ -367,7 +367,7 @@
<h1 class="entry-title"><a href="/news/spark-0-6-1-and-0-5-2-released.html">Spark 0.6.1 and 0.5.2 out</a></h1>
<div class="entry-meta">November 22, 2012</div>
</header>
- <div class="entry-content"><p>Today we’ve made available two maintenance releases for Spark: <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a> and <a href="/releases/spark-release-0-5-2.html" title="Spark Release 0.5.2">0.5.2</a>. They both contain important bug fixes as well as some new features, such as the ability to build against Hadoop 2 distributions. We recommend that users update to the latest version for their branch; for new users, we recommend <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a>.</p>
+ <div class="entry-content"><p>Today weâve made available two maintenance releases for Spark: <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a> and <a href="/releases/spark-release-0-5-2.html" title="Spark Release 0.5.2">0.5.2</a>. They both contain important bug fixes as well as some new features, such as the ability to build against Hadoop 2 distributions. We recommend that users update to the latest version for their branch; for new users, we recommend <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a>.</p>
</div>
</article>
@@ -397,7 +397,7 @@
<h1 class="entry-title"><a href="/news/spark-meetups.html">We've started hosting a Bay Area Spark User Meetup</a></h1>
<div class="entry-meta">January 10, 2012</div>
</header>
- <div class="entry-content"><p>We’ve started hosting a regular <a href="http://www.meetup.com/spark-users/">Bay Area Spark User Meetup</a>. Sign up on the meetup.com page to be notified about events and meet other Spark developers and users.</p>
+ <div class="entry-content"><p>Weâve started hosting a regular <a href="http://www.meetup.com/spark-users/">Bay Area Spark User Meetup</a>. Sign up on the meetup.com page to be notified about events and meet other Spark developers and users.</p>
</div>
</article>
Modified: incubator/spark/site/news/run-spark-and-shark-on-amazon-emr.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/run-spark-and-shark-on-amazon-emr.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/run-spark-and-shark-on-amazon-emr.html (original)
+++ incubator/spark/site/news/run-spark-and-shark-on-amazon-emr.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<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. Weâre very excited because, to our knowledge, this makes Spark the first non-Hadoop engine that you can launch with EMR.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-0-6-1-and-0-5-2-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-6-1-and-0-5-2-released.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-6-1-and-0-5-2-released.html (original)
+++ incubator/spark/site/news/spark-0-6-1-and-0-5-2-released.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark 0.6.1 and 0.5.2 out</h2>
-<p>Today we’ve made available two maintenance releases for Spark: <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a> and <a href="/releases/spark-release-0-5-2.html" title="Spark Release 0.5.2">0.5.2</a>. They both contain important bug fixes as well as some new features, such as the ability to build against Hadoop 2 distributions. We recommend that users update to the latest version for their branch; for new users, we recommend <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a>.</p>
+<p>Today weâve made available two maintenance releases for Spark: <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a> and <a href="/releases/spark-release-0-5-2.html" title="Spark Release 0.5.2">0.5.2</a>. They both contain important bug fixes as well as some new features, such as the ability to build against Hadoop 2 distributions. We recommend that users update to the latest version for their branch; for new users, we recommend <a href="/releases/spark-release-0-6-1.html" title="Spark Release 0.6.1">0.6.1</a>.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-0-7-0-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-7-0-released.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-7-0-released.html (original)
+++ incubator/spark/site/news/spark-0-7-0-released.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark 0.7.0 released</h2>
-<p>We’re proud to announce the release of <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">Spark 0.7.0</a>, a new major version of Spark that adds several key features, including a <a href="/docs/latest/python-programming-guide.html">Python API</a> for Spark and an <a href="/docs/latest/streaming-programming-guide.html">alpha of Spark Streaming</a>. This release is the result of the largest group of contributors yet behind a Spark release – 31 contributors from inside and outside Berkeley. Head over to the <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">release notes</a> to read more about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+<p>Weâre proud to announce the release of <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">Spark 0.7.0</a>, a new major version of Spark that adds several key features, including a <a href="/docs/latest/python-programming-guide.html">Python API</a> for Spark and an <a href="/docs/latest/streaming-programming-guide.html">alpha of Spark Streaming</a>. This release is the result of the largest group of contributors yet behind a Spark release â 31 contributors from inside and outside Berkeley. Head over to the <a href="/releases/spark-release-0-7-0.html" title="Spark Release 0.7.0">release notes</a> to read more about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-0-7-2-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-7-2-released.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-7-2-released.html (original)
+++ incubator/spark/site/news/spark-0-7-2-released.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark 0.7.2 released</h2>
-<p>We’re happy to announce the release of <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">Spark 0.7.2</a>, a new maintenance release that includes several bug fixes and improvements, as well as new code examples and API features. We recommend that all users update to this release. Head over to the <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+<p>Weâre happy to announce the release of <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">Spark 0.7.2</a>, a new maintenance release that includes several bug fixes and improvements, as well as new code examples and API features. We recommend that all users update to this release. Head over to the <a href="/releases/spark-release-0-7-2.html" title="Spark Release 0.7.2">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-0-7-3-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-7-3-released.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-7-3-released.html (original)
+++ incubator/spark/site/news/spark-0-7-3-released.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark 0.7.3 released</h2>
-<p>We’ve just posted <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">Spark Release 0.7.3</a>, a maintenance release that contains several fixes, including streaming API updates and new functionality for adding JARs to a <code>spark-shell</code> session. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+<p>Weâve just posted <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">Spark Release 0.7.3</a>, a maintenance release that contains several fixes, including streaming API updates and new functionality for adding JARs to a <code>spark-shell</code> session. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-7-3.html" title="Spark Release 0.7.3">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-0-8-0-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-8-0-released.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-8-0-released.html (original)
+++ incubator/spark/site/news/spark-0-8-0-released.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark 0.8.0 released</h2>
-<p>We’re proud to announce the release of <a href="/releases/spark-release-0-8-0.html" title="Spark Release 0.8.0">Apache Spark 0.8.0</a>. Spark 0.8.0 is a major release that includes many new capabilities and usability improvements. Itâs also our first release under the Apache incubator. It is the largest Spark release yet, with contributions from 67 developers and 24 companies. Major new features include an expanded monitoring framework and UI, a machine learning library, and support for running Spark inside of YARN.</p>
+<p>Weâre proud to announce the release of <a href="/releases/spark-release-0-8-0.html" title="Spark Release 0.8.0">Apache Spark 0.8.0</a>. Spark 0.8.0 is a major release that includes many new capabilities and usability improvements. Itâs also our first release under the Apache incubator. It is the largest Spark release yet, with contributions from 67 developers and 24 companies. Major new features include an expanded monitoring framework and UI, a machine learning library, and support for running Spark inside of YARN.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-0-8-1-released.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-0-8-1-released.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-0-8-1-released.html (original)
+++ incubator/spark/site/news/spark-0-8-1-released.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark 0.8.1 released</h2>
-<p>We’ve just posted <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">Spark Release 0.8.1</a>, a maintenance and performance release for the Scala 2.9 version of Spark. 0.8.1 includes support for YARN 2.2, a high availability mode for the standalone scheduler, optimizations to the shuffle, and many other improvements. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
+<p>Weâve just posted <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">Spark Release 0.8.1</a>, a maintenance and performance release for the Scala 2.9 version of Spark. 0.8.1 includes support for YARN 2.2, a high availability mode for the standalone scheduler, optimizations to the shuffle, and many other improvements. We recommend that all users update to this release. Visit the <a href="/releases/spark-release-0-8-1.html" title="Spark Release 0.8.1">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-and-shark-in-the-news.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-and-shark-in-the-news.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-and-shark-in-the-news.html (original)
+++ incubator/spark/site/news/spark-and-shark-in-the-news.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Spark and Shark in the news</h2>
-<p>Recently, we’ve seen quite a bit of coverage of both Spark and <a href="http://shark.cs.berkeley.edu">Shark</a> in the news. I wanted to list some of the more recent articles, for readers interested in learning more.</p>
+<p>Recently, weâve seen quite a bit of coverage of both Spark and <a href="http://shark.cs.berkeley.edu">Shark</a> in the news. I wanted to list some of the more recent articles, for readers interested in learning more.</p>
<ul>
<li>Curt Monash, editor of the popular DBMS2 blog, wrote a great <a href="http://www.dbms2.com/2012/12/13/introduction-to-spark-shark-bdas-and-amplab/">introduction to Spark and Shark</a>, as well as a more detailed <a href="http://www.dbms2.com/2012/12/13/spark-shark-and-rdds-technology-notes/">technical overview</a>.</li>
@@ -142,7 +142,7 @@
<li><a href="http://data-informed.com/spark-an-open-source-engine-for-iterative-data-mining/">DataInformed</a> interviewed two Spark users and wrote about their applications in anomaly detection, predictive analytics and data mining.</li>
</ul>
-<p>In other news, there will be a full day of tutorials on Spark and Shark at the <a href="http://strataconf.com/strata2013">O’Reilly Strata conference</a> in February. They include a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27438">introduction to Spark, Shark and BDAS</a> Tuesday morning, and a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27440">hands-on exercise session</a>. </p>
+<p>In other news, there will be a full day of tutorials on Spark and Shark at the <a href="http://strataconf.com/strata2013">OâReilly Strata conference</a> in February. They include a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27438">introduction to Spark, Shark and BDAS</a> Tuesday morning, and a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27440">hands-on exercise session</a>. </p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-meetups.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-meetups.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-meetups.html (original)
+++ incubator/spark/site/news/spark-meetups.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>We've started hosting a Bay Area Spark User Meetup</h2>
-<p>We’ve started hosting a regular <a href="http://www.meetup.com/spark-users/">Bay Area Spark User Meetup</a>. Sign up on the meetup.com page to be notified about events and meet other Spark developers and users.</p>
+<p>Weâve started hosting a regular <a href="http://www.meetup.com/spark-users/">Bay Area Spark User Meetup</a>. Sign up on the meetup.com page to be notified about events and meet other Spark developers and users.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/spark-user-survey-and-powered-by-page.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/spark-user-survey-and-powered-by-page.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/spark-user-survey-and-powered-by-page.html (original)
+++ incubator/spark/site/news/spark-user-survey-and-powered-by-page.html Wed Jan 8 05:43:23 2014
@@ -132,9 +132,9 @@
<h2>Spark user survey and "Powered By" page</h2>
-<p>As we continue developing Spark, we would love to get feedback from users and hear what you’d like us to work on next. We’ve decided that a good way to do that is a survey – we hope to run this at regular intervals. If you have a few minutes to participate, <a href="https://docs.google.com/forms/d/1eMXp4GjcIXglxJe5vYYBzXKVm-6AiYt1KThJwhCjJiY/viewform">fill in the survey here</a>. Your time is greatly appreciated.</p>
+<p>As we continue developing Spark, we would love to get feedback from users and hear what youâd like us to work on next. Weâve decided that a good way to do that is a survey â we hope to run this at regular intervals. If you have a few minutes to participate, <a href="https://docs.google.com/forms/d/1eMXp4GjcIXglxJe5vYYBzXKVm-6AiYt1KThJwhCjJiY/viewform">fill in the survey here</a>. Your time is greatly appreciated.</p>
-<p>In parallel, we are starting a <a href="https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark">“powered by” page</a> on the Apache Spark wiki for organizations that are using, or contributing to, Spark. Sign up if you’d like to support the project! This is a great way to let the world know you’re using Spark, and can also be helpful to generate leads for recruiting. You can also add yourself when you fill the survey.</p>
+<p>In parallel, we are starting a <a href="https://cwiki.apache.org/confluence/display/SPARK/Powered+By+Spark">âpowered byâ page</a> on the Apache Spark wiki for organizations that are using, or contributing to, Spark. Sign up if youâd like to support the project! This is a great way to let the world know youâre using Spark, and can also be helpful to generate leads for recruiting. You can also add yourself when you fill the survey.</p>
<p>Thanks for taking the time to give feedback.</p>
Modified: incubator/spark/site/news/strata-exercises-now-available-online.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/strata-exercises-now-available-online.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/strata-exercises-now-available-online.html (original)
+++ incubator/spark/site/news/strata-exercises-now-available-online.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Strata exercises now available online</h2>
-<p>At this year’s <a href="http://strataconf.com/strata2013">Strata</a> conference, the AMP Lab hosted a full day of tutorials on Spark, Shark, and Spark Streaming, including online exercises on Amazon EC2. Those exercises are now <a href="http://ampcamp.berkeley.edu/big-data-mini-course/">available online</a>, letting you learn Spark and Shark at your own pace on an EC2 cluster with real data. They are a great resource for learning the systems. You can also find <a href="http://ampcamp.berkeley.edu/amp-camp-two-strata-2013/">slides</a> from the Strata tutorials online, as well as <a href="http://ampcamp.berkeley.edu/amp-camp-one-berkeley-2012/">videos</a> from the AMP Camp workshop we held at Berkeley in August.</p>
+<p>At this yearâs <a href="http://strataconf.com/strata2013">Strata</a> conference, the AMP Lab hosted a full day of tutorials on Spark, Shark, and Spark Streaming, including online exercises on Amazon EC2. Those exercises are now <a href="http://ampcamp.berkeley.edu/big-data-mini-course/">available online</a>, letting you learn Spark and Shark at your own pace on an EC2 cluster with real data. They are a great resource for learning the systems. You can also find <a href="http://ampcamp.berkeley.edu/amp-camp-two-strata-2013/">slides</a> from the Strata tutorials online, as well as <a href="http://ampcamp.berkeley.edu/amp-camp-one-berkeley-2012/">videos</a> from the AMP Camp workshop we held at Berkeley in August.</p>
</article><!-- #post -->
Modified: incubator/spark/site/news/video-from-first-spark-development-meetup.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/news/video-from-first-spark-development-meetup.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/news/video-from-first-spark-development-meetup.html (original)
+++ incubator/spark/site/news/video-from-first-spark-development-meetup.html Wed Jan 8 05:43:23 2014
@@ -132,7 +132,7 @@
<h2>Video up from first Spark development meetup</h2>
-<p>On December 18th, we held the first of a series of Spark development meetups, for people interested in learning the Spark codebase and contributing to the project. There was quite a bit more demand than we anticipated, with over 80 people signing up and 64 attending. The first meetup was an <a href="http://www.meetup.com/spark-users/events/94101942/">introduction to Spark internals</a>. Thanks to one of the attendees, there’s now a <a href="http://www.youtube.com/watch?v=49Hr5xZyTEA">video of the meetup</a> on YouTube. We’ve also posted the <a href="http://files.meetup.com/3138542/dev-meetup-dec-2012.pptx">slides</a>. Look to see more development meetups on Spark and Shark in the future.</p>
+<p>On December 18th, we held the first of a series of Spark development meetups, for people interested in learning the Spark codebase and contributing to the project. There was quite a bit more demand than we anticipated, with over 80 people signing up and 64 attending. The first meetup was an <a href="http://www.meetup.com/spark-users/events/94101942/">introduction to Spark internals</a>. Thanks to one of the attendees, thereâs now a <a href="http://www.youtube.com/watch?v=49Hr5xZyTEA">video of the meetup</a> on YouTube. Weâve also posted the <a href="http://files.meetup.com/3138542/dev-meetup-dec-2012.pptx">slides</a>. Look to see more development meetups on Spark and Shark in the future.</p>
</article><!-- #post -->
Modified: incubator/spark/site/releases/spark-release-0-3.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-3.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-3.html (original)
+++ incubator/spark/site/releases/spark-release-0-3.html Wed Jan 8 05:43:23 2014
@@ -148,7 +148,7 @@
<h3>Native Types for SequenceFiles</h3>
-<p>In working with SequenceFiles, which store objects that implement Hadoop’s Writable interface, Spark will now let you use native types for certain common Writable types, like IntWritable and Text. For example:</p>
+<p>In working with SequenceFiles, which store objects that implement Hadoopâs Writable interface, Spark will now let you use native types for certain common Writable types, like IntWritable and Text. For example:</p>
<div class="code">
<span class="comment">// Will read a SequenceFile of (IntWritable, Text)</span><br />
Modified: incubator/spark/site/releases/spark-release-0-5-0.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-5-0.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-5-0.html (original)
+++ incubator/spark/site/releases/spark-release-0-5-0.html Wed Jan 8 05:43:23 2014
@@ -136,10 +136,10 @@
<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 jobsâ 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>Sparkâs 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>
@@ -151,11 +151,11 @@
<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>Sparkâs 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 ânew Hadoopâ API). In addition, this release fixes an issue caused by a HDFS initialization bug in some recent versions of HDFS.</p>
</article><!-- #post -->
Modified: incubator/spark/site/releases/spark-release-0-5-1.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-5-1.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-5-1.html (original)
+++ incubator/spark/site/releases/spark-release-0-5-1.html Wed Jan 8 05:43:23 2014
@@ -165,7 +165,7 @@
<h3>EC2 Improvements</h3>
-<p>Spark’s EC2 launch script now configures Spark’s memory limit automatically based on the machine’s available RAM.</p>
+<p>Sparkâs EC2 launch script now configures Sparkâs memory limit automatically based on the machineâs available RAM.</p>
</article><!-- #post -->
Modified: incubator/spark/site/releases/spark-release-0-6-0.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-6-0.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-6-0.html (original)
+++ incubator/spark/site/releases/spark-release-0-6-0.html Wed Jan 8 05:43:23 2014
@@ -144,11 +144,11 @@
<h3>Java API</h3>
-<p>Java programmers can now use Spark through a new <a href="/docs/0.6.0/java-programming-guide.html">Java API layer</a>. This layer makes available all of Spark’s features, including parallel transformations, distributed datasets, broadcast variables, and accumulators, in a Java-friendly manner.</p>
+<p>Java programmers can now use Spark through a new <a href="/docs/0.6.0/java-programming-guide.html">Java API layer</a>. This layer makes available all of Sparkâs features, including parallel transformations, distributed datasets, broadcast variables, and accumulators, in a Java-friendly manner.</p>
<h3>Expanded Documentation</h3>
-<p>Spark’s <a href="/docs/0.6.0/">documentation</a> has been expanded with a new <a href="/docs/0.6.0/quick-start.html">quick start guide</a>, additional deployment instructions, configuration guide, tuning guide, and improved <a href="/docs/0.6.0/api/core">Scaladoc</a> API documentation.</p>
+<p>Sparkâs <a href="/docs/0.6.0/">documentation</a> has been expanded with a new <a href="/docs/0.6.0/quick-start.html">quick start guide</a>, additional deployment instructions, configuration guide, tuning guide, and improved <a href="/docs/0.6.0/api/core">Scaladoc</a> API documentation.</p>
<h3>Engine Changes</h3>
@@ -171,7 +171,7 @@
<h3>Enhanced Debugging</h3>
-<p>Spark’s log now prints which operation in your program each RDD and job described in your logs belongs to, making it easier to tie back to which parts of your code experience problems.</p>
+<p>Sparkâs log now prints which operation in your program each RDD and job described in your logs belongs to, making it easier to tie back to which parts of your code experience problems.</p>
<h3>Maven Artifacts</h3>
Modified: incubator/spark/site/releases/spark-release-0-7-0.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-7-0.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-7-0.html (original)
+++ incubator/spark/site/releases/spark-release-0-7-0.html Wed Jan 8 05:43:23 2014
@@ -158,7 +158,7 @@
<h3>New Operations</h3>
-<p>This release adds several RDD transformations, including <tt>keys</tt>, <tt>values</tt>, <tt>keyBy</tt>, <tt>subtract</tt>, <tt>coalesce</tt>, <tt>zip</tt>. It also adds <tt>SparkContext.hadoopConfiguration</tt> to allow programs to configure Hadoop input/output settings globally across operations. Finally, it adds the <tt>RDD.toDebugString()</tt> method, which can be used to print an RDD’s lineage graph for troubleshooting.</p>
+<p>This release adds several RDD transformations, including <tt>keys</tt>, <tt>values</tt>, <tt>keyBy</tt>, <tt>subtract</tt>, <tt>coalesce</tt>, <tt>zip</tt>. It also adds <tt>SparkContext.hadoopConfiguration</tt> to allow programs to configure Hadoop input/output settings globally across operations. Finally, it adds the <tt>RDD.toDebugString()</tt> method, which can be used to print an RDDâs lineage graph for troubleshooting.</p>
<h3>EC2 Improvements</h3>
@@ -195,7 +195,7 @@
<h3>Credits</h3>
-<p>Spark 0.7 was the work of many contributors from Berkeley and outside—in total, 31 different contributors, of which 20 were from outside Berkeley. Here are the people who contributed, along with areas they worked on:</p>
+<p>Spark 0.7 was the work of many contributors from Berkeley and outsideâin total, 31 different contributors, of which 20 were from outside Berkeley. Here are the people who contributed, along with areas they worked on:</p>
<ul>
<li>Mikhail Bautin -- Maven build</li>
Modified: incubator/spark/site/releases/spark-release-0-8-0.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-8-0.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-8-0.html (original)
+++ incubator/spark/site/releases/spark-release-0-8-0.html Wed Jan 8 05:43:23 2014
@@ -176,13 +176,13 @@
<li>The examples build has been isolated from the core build, substantially reducing the potential for dependency conflicts.</li>
<li>The Spark Streaming Twitter API has been updated to use OAuth authentication instead of the deprecated username/password authentication in Spark 0.7.0.</li>
<li>Several new example jobs have been added, including PageRank implementations in Java, Scala and Python, examples for accessing HBase and Cassandra, and MLlib examples.</li>
- <li>Support for running on Mesos has been improved – now you can deploy a Spark assembly JAR as part of the Mesos job, instead of having Spark pre-installed on each machine. The default Mesos version has also been updated to 0.13.</li>
+ <li>Support for running on Mesos has been improved â now you can deploy a Spark assembly JAR as part of the Mesos job, instead of having Spark pre-installed on each machine. The default Mesos version has also been updated to 0.13.</li>
<li>This release includes various optimizations to PySpark and to the job scheduler.</li>
</ul>
<h3 id="compatibility">Compatibility</h3>
<ul>
- <li><strong>This release changes Sparkâs package name to ‘org.apache.spark’</strong>, so those upgrading from Spark 0.7 will need to adjust their imports accordingly. In addition, weâve moved the <code>RDD</code> class to the org.apache.spark.rdd package (it was previously in the top-level package). The Spark artifacts published through Maven have also changed to the new package name.</li>
+ <li><strong>This release changes Sparkâs package name to âorg.apache.sparkâ</strong>, so those upgrading from Spark 0.7 will need to adjust their imports accordingly. In addition, weâve moved the <code>RDD</code> class to the org.apache.spark.rdd package (it was previously in the top-level package). The Spark artifacts published through Maven have also changed to the new package name.</li>
<li>In the Java API, use of Scalaâs <code>Option</code> class has been replaced with <code>Optional</code> from the Guava library.</li>
<li>Linking against Spark for arbitrary Hadoop versions is now possible by specifying a dependency on <code>hadoop-client</code>, instead of rebuilding <code>spark-core</code> against your version of Hadoop. See the documentation <a href="http://spark.incubator.apache.org/docs/0.8.0/scala-programming-guide.html#linking-with-spark">here</a> for details.</li>
<li>If you are building Spark, youâll now need to run <code>sbt/sbt assembly</code> instead of <code>package</code>.</li>
@@ -192,73 +192,73 @@
<p>Spark 0.8.0 was the result of the largest team of contributors yet. The following developers contributed to this release:</p>
<ul>
- <li>Andrew Ash – documentation, code cleanup and logging improvements</li>
- <li>Mikhail Bautin – bug fix</li>
- <li>Konstantin Boudnik – Maven build, bug fixes, and documentation</li>
- <li>Ian Buss – sbt configuration improvement</li>
- <li>Evan Chan – API improvement, bug fix, and documentation</li>
- <li>Lian Cheng – bug fix</li>
- <li>Tathagata Das – performance improvement in streaming receiver and streaming bug fix</li>
- <li>Aaron Davidson – Python improvements, bug fix, and unit tests</li>
- <li>Giovanni Delussu – coalesced RDD feature</li>
- <li>Joseph E. Gonzalez – improvement to zipPartitions</li>
- <li>Karen Feng – several improvements to web UI</li>
- <li>Andy Feng – HDFS metrics</li>
- <li>Ali Ghodsi – configuration improvements and locality-aware coalesce</li>
- <li>Christoph Grothaus – bug fix</li>
- <li>Thomas Graves – support for secure YARN cluster and various YARN-related improvements</li>
- <li>Stephen Haberman – bug fix, documentation, and code cleanup</li>
- <li>Mark Hamstra – bug fixes and Maven build</li>
- <li>Benjamin Hindman – Mesos compatibility and documentation</li>
- <li>Liang-Chi Hsieh – bug fixes in build and in YARN mode</li>
- <li>Shane Huang – shuffle improvements, bug fix</li>
- <li>Ethan Jewett – Spark/HBase example</li>
- <li>Holden Karau – bug fix and EC2 improvement</li>
- <li>Kody Koeniger – JDBV RDD implementation</li>
- <li>Andy Konwinski – documentation</li>
- <li>Jey Kottalam – PySpark optimizations, Hadoop agnostic build (lead), and bug fixes</li>
- <li>Andrey Kouznetsov – Bug fix</li>
- <li>S. Kumar – Spark Streaming example</li>
- <li>Ryan LeCompte – topK method optimization and serialization improvements</li>
- <li>Gavin Li – compression codecs and pipe support</li>
- <li>Harold Lim – fair scheduler</li>
- <li>Dmitriy Lyubimov – bug fix</li>
- <li>Chris Mattmann – Apache mentor</li>
- <li>David McCauley – JSON API improvement</li>
- <li>Sean McNamara – added <code>takeOrdered</code> function, bug fixes, and a build fix</li>
- <li>Mridul Muralidharan – YARN integration (lead) and scheduler improvements</li>
- <li>Marc Mercer – improvements to UI json output</li>
- <li>Christopher Nguyen – bug fixes</li>
- <li>Erik van Oosten – example fix</li>
- <li>Kay Ousterhout – fix for scheduler regression and bug fixes</li>
- <li>Xinghao Pan – MLLib contributions</li>
- <li>Hiral Patel – bug fix</li>
- <li>James Phillpotts – updated Twitter API for Spark streaming</li>
- <li>Nick Pentreath – scala pageRank example, bagel improvement, and several Java examples</li>
- <li>Alexander Pivovarov – logging improvement and Maven build</li>
- <li>Mike Potts – configuration improvement</li>
- <li>Rohit Rai – Spark/Cassandra example</li>
- <li>Imran Rashid – bug fixes and UI improvement</li>
- <li>Charles Reiss – bug fixes, code cleanup, performance improvements</li>
- <li>Josh Rosen – Python API improvements, Java API improvements, EC2 scripts and bug fixes</li>
- <li>Henry Saputra – Apache mentor</li>
- <li>Jerry Shao – bug fixes, metrics system</li>
- <li>Prashant Sharma – documentation</li>
- <li>Mingfei Shi – joblogger and bug fix</li>
- <li>Andre Schumacher – several PySpark features</li>
- <li>Ginger Smith – MLLib contribution</li>
- <li>Evan Sparks – contributions to MLLib</li>
- <li>Ram Sriharsha – bug fix and RDD removal feature</li>
- <li>Ameet Talwalkar – MLlib contributions</li>
- <li>Roman Tkalenko – code refactoring and cleanup</li>
- <li>Chu Tong – Java PageRank algorithm and bug fix in bash scripts</li>
- <li>Shivaram Venkataraman – bug fixes, contributions to MLLib, netty shuffle fixes, and Java API additions</li>
- <li>Patrick Wendell – release manager, bug fixes, documentation, metrics system, and web UI</li>
- <li>Andrew Xia – fair scheduler (lead), metrics system, and ui improvements</li>
- <li>Reynold Xin – shuffle improvements, bug fixes, code refactoring, usability improvements, MLLib contributions</li>
- <li>Matei Zaharia – MLLib contributions, documentation, examples, UI improvements, PySpark improvements, and bug fixes</li>
- <li>Wu Zeming – bug fix in scheduler</li>
- <li>Bill Zhao – log message improvement</li>
+ <li>Andrew Ash â documentation, code cleanup and logging improvements</li>
+ <li>Mikhail Bautin â bug fix</li>
+ <li>Konstantin Boudnik â Maven build, bug fixes, and documentation</li>
+ <li>Ian Buss â sbt configuration improvement</li>
+ <li>Evan Chan â API improvement, bug fix, and documentation</li>
+ <li>Lian Cheng â bug fix</li>
+ <li>Tathagata Das â performance improvement in streaming receiver and streaming bug fix</li>
+ <li>Aaron Davidson â Python improvements, bug fix, and unit tests</li>
+ <li>Giovanni Delussu â coalesced RDD feature</li>
+ <li>Joseph E. Gonzalez â improvement to zipPartitions</li>
+ <li>Karen Feng â several improvements to web UI</li>
+ <li>Andy Feng â HDFS metrics</li>
+ <li>Ali Ghodsi â configuration improvements and locality-aware coalesce</li>
+ <li>Christoph Grothaus â bug fix</li>
+ <li>Thomas Graves â support for secure YARN cluster and various YARN-related improvements</li>
+ <li>Stephen Haberman â bug fix, documentation, and code cleanup</li>
+ <li>Mark Hamstra â bug fixes and Maven build</li>
+ <li>Benjamin Hindman â Mesos compatibility and documentation</li>
+ <li>Liang-Chi Hsieh â bug fixes in build and in YARN mode</li>
+ <li>Shane Huang â shuffle improvements, bug fix</li>
+ <li>Ethan Jewett â Spark/HBase example</li>
+ <li>Holden Karau â bug fix and EC2 improvement</li>
+ <li>Kody Koeniger â JDBV RDD implementation</li>
+ <li>Andy Konwinski â documentation</li>
+ <li>Jey Kottalam â PySpark optimizations, Hadoop agnostic build (lead), and bug fixes</li>
+ <li>Andrey Kouznetsov â Bug fix</li>
+ <li>S. Kumar â Spark Streaming example</li>
+ <li>Ryan LeCompte â topK method optimization and serialization improvements</li>
+ <li>Gavin Li â compression codecs and pipe support</li>
+ <li>Harold Lim â fair scheduler</li>
+ <li>Dmitriy Lyubimov â bug fix</li>
+ <li>Chris Mattmann â Apache mentor</li>
+ <li>David McCauley â JSON API improvement</li>
+ <li>Sean McNamara â added <code>takeOrdered</code> function, bug fixes, and a build fix</li>
+ <li>Mridul Muralidharan â YARN integration (lead) and scheduler improvements</li>
+ <li>Marc Mercer â improvements to UI json output</li>
+ <li>Christopher Nguyen â bug fixes</li>
+ <li>Erik van Oosten â example fix</li>
+ <li>Kay Ousterhout â fix for scheduler regression and bug fixes</li>
+ <li>Xinghao Pan â MLLib contributions</li>
+ <li>Hiral Patel â bug fix</li>
+ <li>James Phillpotts â updated Twitter API for Spark streaming</li>
+ <li>Nick Pentreath â scala pageRank example, bagel improvement, and several Java examples</li>
+ <li>Alexander Pivovarov â logging improvement and Maven build</li>
+ <li>Mike Potts â configuration improvement</li>
+ <li>Rohit Rai â Spark/Cassandra example</li>
+ <li>Imran Rashid â bug fixes and UI improvement</li>
+ <li>Charles Reiss â bug fixes, code cleanup, performance improvements</li>
+ <li>Josh Rosen â Python API improvements, Java API improvements, EC2 scripts and bug fixes</li>
+ <li>Henry Saputra â Apache mentor</li>
+ <li>Jerry Shao â bug fixes, metrics system</li>
+ <li>Prashant Sharma â documentation</li>
+ <li>Mingfei Shi â joblogger and bug fix</li>
+ <li>Andre Schumacher â several PySpark features</li>
+ <li>Ginger Smith â MLLib contribution</li>
+ <li>Evan Sparks â contributions to MLLib</li>
+ <li>Ram Sriharsha â bug fix and RDD removal feature</li>
+ <li>Ameet Talwalkar â MLlib contributions</li>
+ <li>Roman Tkalenko â code refactoring and cleanup</li>
+ <li>Chu Tong â Java PageRank algorithm and bug fix in bash scripts</li>
+ <li>Shivaram Venkataraman â bug fixes, contributions to MLLib, netty shuffle fixes, and Java API additions</li>
+ <li>Patrick Wendell â release manager, bug fixes, documentation, metrics system, and web UI</li>
+ <li>Andrew Xia â fair scheduler (lead), metrics system, and ui improvements</li>
+ <li>Reynold Xin â shuffle improvements, bug fixes, code refactoring, usability improvements, MLLib contributions</li>
+ <li>Matei Zaharia â MLLib contributions, documentation, examples, UI improvements, PySpark improvements, and bug fixes</li>
+ <li>Wu Zeming â bug fix in scheduler</li>
+ <li>Bill Zhao â log message improvement</li>
</ul>
<p>Thanks to everyone who contributed!
Modified: incubator/spark/site/releases/spark-release-0-8-1.html
URL: http://svn.apache.org/viewvc/incubator/spark/site/releases/spark-release-0-8-1.html?rev=1556448&r1=1556447&r2=1556448&view=diff
==============================================================================
--- incubator/spark/site/releases/spark-release-0-8-1.html (original)
+++ incubator/spark/site/releases/spark-release-0-8-1.html Wed Jan 8 05:43:23 2014
@@ -135,7 +135,7 @@
<p>Apache Spark 0.8.1 is a maintenance and performance release for the Scala 2.9 version of Spark. It also adds several new features, such as standalone mode high availability, that will appear in Spark 0.9 but developers wanted to have in Scala 2.9. Contributions to 0.8.1 came from 41 developers.</p>
<h3 id="yarn-22-support">YARN 2.2 Support</h3>
-<p>Support has been added for running Spark on YARN 2.2 and newer. Due to a change in the YARN API between previous versions and 2.2+, this was not supported in Spark 0.8.0. See the <a href="/docs/0.8.1/running-on-yarn.html">YARN documentation</a> for specific instructions on how to build Spark for YARN 2.2+. We’ve also included a pre-compiled binary for YARN 2.2.</p>
+<p>Support has been added for running Spark on YARN 2.2 and newer. Due to a change in the YARN API between previous versions and 2.2+, this was not supported in Spark 0.8.0. See the <a href="/docs/0.8.1/running-on-yarn.html">YARN documentation</a> for specific instructions on how to build Spark for YARN 2.2+. Weâve also included a pre-compiled binary for YARN 2.2.</p>
<h3 id="high-availability-mode-for-standalone-cluster-manager">High Availability Mode for Standalone Cluster Manager</h3>
<p>The standalone cluster manager now has a high availability (H/A) mode which can tolerate master failures. This is particularly useful for long-running applications such as streaming jobs and the shark server, where the scheduler master previously represented a single point of failure. Instructions for deploying H/A mode are included <a href="/docs/0.8.1/spark-standalone.html#high-availability">in the documentation</a>. The current implementation uses Zookeeper for coordination.</p>
@@ -146,7 +146,7 @@
<ul>
<li>Optimized hashtables for shuffle data - reduces memory and CPU consumption</li>
<li>Efficient encoding for JobConfs - improves latency for stages reading large numbers of blocks from HDFS, S3, and HBase</li>
- <li>Shuffle file consolidation (off by default) - reduces the number of files created in large shuffles for better filesystem performance. This change works best on filesystems newer than ext3 (we recommend ext4 or XFS), and it will be the default in Spark 0.9, but weâve left it off by default for compatibility. We recommend users turn this on unless they are using ext3 by setting <code>spark.shuffle.consolidateFiles</code> to “true”.</li>
+ <li>Shuffle file consolidation (off by default) - reduces the number of files created in large shuffles for better filesystem performance. This change works best on filesystems newer than ext3 (we recommend ext4 or XFS), and it will be the default in Spark 0.9, but weâve left it off by default for compatibility. We recommend users turn this on unless they are using ext3 by setting <code>spark.shuffle.consolidateFiles</code> to âtrueâ.</li>
<li>Torrent broadcast (off by default) - a faster broadcast implementation for large objects.</li>
<li>Support for fetching large result sets - allows tasks to return large results without tuning Akka buffer sizes.</li>
</ul>
@@ -183,47 +183,47 @@
<h3 id="credits">Credits</h3>
<ul>
- <li>Michael Armbrust – build fix</li>
- <li>Pierre Borckmans – typo fix in documentation</li>
- <li>Evan Chan – <code>local://</code> scheme for dependency jars</li>
- <li>Ewen Cheslack-Postava – <code>add</code> method for python accumulators, support for setting config properties in python</li>
- <li>Mosharaf Chowdhury – optimized broadcast implementation</li>
- <li>Frank Dai – documentation fix</li>
- <li>Aaron Davidson – shuffle file consolidation, H/A mode for standalone scheduler, cleaned up representation of block IDs, several improvements and bug fixes</li>
- <li>Tathagata Das – new streaming operators, fix for kafka concurrency bug</li>
- <li>Ankur Dave – support for pausing spot clusters on EC2</li>
- <li>Harvey Feng – optimization to JobConf broadcasts, bug fixes, YARN 2.2 build</li>
- <li>Ali Ghodsi – YARN 2.2 build</li>
- <li>Thomas Graves – Spark YARN integration including secure HDFS access over YARN</li>
- <li>Li Guoqiang – fix for Maven build</li>
- <li>Stephen Haberman – bug fix</li>
- <li>Haidar Hadi – documentation fix</li>
- <li>Nathan Howell – bug fix relating to YARN</li>
- <li>Holden Karau – Java version of <code>mapPartitionsWithIndex</code></li>
- <li>Du Li – bug fix in make-distrubion.sh</li>
- <li>Raymond Liu – work on YARN 2.2 build</li>
- <li>Xi Liu – bug fix and code clean-up</li>
- <li>David McCauley – bug fix in standalone mode JSON output</li>
- <li>Michael (wannabeast) – bug fix in memory store</li>
- <li>Fabrizio Milo – typos in documentation, clean-up in DAGScheduler, typo in scaladoc</li>
- <li>Mridul Muralidharan – fixes to metadata cleaner and speculative execution</li>
- <li>Sundeep Narravula – build fix, bug fixes in scheduler and tests, code clean-up</li>
- <li>Kay Ousterhout – optimized result fetching, new information in UI, scheduler clean-up and bug fixes</li>
- <li>Nick Pentreath – implicit feedback variant of ALS algorithm</li>
- <li>Imran Rashid – improvement to executor launch</li>
- <li>Ahir Reddy – spark support for SIMR</li>
- <li>Josh Rosen – memory use optimization, clean up of BlockManager code, Java and Python clean-up/fixes</li>
- <li>Henry Saputra – build fix</li>
- <li>Jerry Shao – refactoring of fair scheduler, support for running Spark as a specific user, bug fix</li>
- <li>Mingfei Shi – documentation for JobLogger</li>
- <li>Andre Schumacher – sortByKey in PySpark and associated changes</li>
- <li>Karthik Tunga – bug fix in launch script</li>
- <li>Patrick Wendell – <code>repartition</code> operator, shuffle write metrics, various fixes and release management</li>
- <li>Neal Wiggins – import clean-up, documentation fixes</li>
- <li>Andrew Xia – bug fix in UI</li>
- <li>Reynold Xin – task killing, support for setting job properties in Spark shell, logging improvements, Kryo improvements, several bug fixes</li>
- <li>Matei Zaharia – optimized hashmap for shuffle data, PySpark documentation, optimizations to Kryo serializer</li>
- <li>Wu Zeming – bug fix in executors UI</li>
+ <li>Michael Armbrust â build fix</li>
+ <li>Pierre Borckmans â typo fix in documentation</li>
+ <li>Evan Chan â <code>local://</code> scheme for dependency jars</li>
+ <li>Ewen Cheslack-Postava â <code>add</code> method for python accumulators, support for setting config properties in python</li>
+ <li>Mosharaf Chowdhury â optimized broadcast implementation</li>
+ <li>Frank Dai â documentation fix</li>
+ <li>Aaron Davidson â shuffle file consolidation, H/A mode for standalone scheduler, cleaned up representation of block IDs, several improvements and bug fixes</li>
+ <li>Tathagata Das â new streaming operators, fix for kafka concurrency bug</li>
+ <li>Ankur Dave â support for pausing spot clusters on EC2</li>
+ <li>Harvey Feng â optimization to JobConf broadcasts, bug fixes, YARN 2.2 build</li>
+ <li>Ali Ghodsi â YARN 2.2 build</li>
+ <li>Thomas Graves â Spark YARN integration including secure HDFS access over YARN</li>
+ <li>Li Guoqiang â fix for Maven build</li>
+ <li>Stephen Haberman â bug fix</li>
+ <li>Haidar Hadi â documentation fix</li>
+ <li>Nathan Howell â bug fix relating to YARN</li>
+ <li>Holden Karau â Java version of <code>mapPartitionsWithIndex</code></li>
+ <li>Du Li â bug fix in make-distrubion.sh</li>
+ <li>Raymond Liu â work on YARN 2.2 build</li>
+ <li>Xi Liu â bug fix and code clean-up</li>
+ <li>David McCauley â bug fix in standalone mode JSON output</li>
+ <li>Michael (wannabeast) â bug fix in memory store</li>
+ <li>Fabrizio Milo â typos in documentation, clean-up in DAGScheduler, typo in scaladoc</li>
+ <li>Mridul Muralidharan â fixes to metadata cleaner and speculative execution</li>
+ <li>Sundeep Narravula â build fix, bug fixes in scheduler and tests, code clean-up</li>
+ <li>Kay Ousterhout â optimized result fetching, new information in UI, scheduler clean-up and bug fixes</li>
+ <li>Nick Pentreath â implicit feedback variant of ALS algorithm</li>
+ <li>Imran Rashid â improvement to executor launch</li>
+ <li>Ahir Reddy â spark support for SIMR</li>
+ <li>Josh Rosen â memory use optimization, clean up of BlockManager code, Java and Python clean-up/fixes</li>
+ <li>Henry Saputra â build fix</li>
+ <li>Jerry Shao â refactoring of fair scheduler, support for running Spark as a specific user, bug fix</li>
+ <li>Mingfei Shi â documentation for JobLogger</li>
+ <li>Andre Schumacher â sortByKey in PySpark and associated changes</li>
+ <li>Karthik Tunga â bug fix in launch script</li>
+ <li>Patrick Wendell â <code>repartition</code> operator, shuffle write metrics, various fixes and release management</li>
+ <li>Neal Wiggins â import clean-up, documentation fixes</li>
+ <li>Andrew Xia â bug fix in UI</li>
+ <li>Reynold Xin â task killing, support for setting job properties in Spark shell, logging improvements, Kryo improvements, several bug fixes</li>
+ <li>Matei Zaharia â optimized hashmap for shuffle data, PySpark documentation, optimizations to Kryo serializer</li>
+ <li>Wu Zeming â bug fix in executors UI</li>
</ul>
<p>Thanks to everyone who contributed!</p>