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authorPatrick Wendell <pwendell@apache.org>2013-12-20 01:33:33 +0000
committerPatrick Wendell <pwendell@apache.org>2013-12-20 01:33:33 +0000
commit43b3fbe2dc099b920177fe36354e61952df2fbaa (patch)
treefeac10ba717f58db3bc236664c2034d0762221ff
parent37292e976c5762484d64da70098a343580c209e1 (diff)
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Using 'standalone cluster manager' instead of 'standalone scheduler'
-rw-r--r--releases/_posts/2013-12-19-spark-release-0-8-1.md2
-rw-r--r--site/releases/spark-release-0-8-1.html2
2 files changed, 2 insertions, 2 deletions
diff --git a/releases/_posts/2013-12-19-spark-release-0-8-1.md b/releases/_posts/2013-12-19-spark-release-0-8-1.md
index 1ad2bacaa..b65ee8dff 100644
--- a/releases/_posts/2013-12-19-spark-release-0-8-1.md
+++ b/releases/_posts/2013-12-19-spark-release-0-8-1.md
@@ -17,7 +17,7 @@ Apache Spark 0.8.1 is a maintenance and performance release for the Scala 2.9 ve
### YARN 2.2 Support
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="{{site.url}}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.
-### High Availability Mode for Standalone Scheduler
+### High Availability Mode for Standalone Cluster Manager
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="{{site.url}}docs/0.8.1/spark-standalone.html#high-availability">in the documentation</a>. The current implementation uses Zookeeper for coordination.
### Performance Optimizations
diff --git a/site/releases/spark-release-0-8-1.html b/site/releases/spark-release-0-8-1.html
index f8665ef02..ab9dcf34b 100644
--- a/site/releases/spark-release-0-8-1.html
+++ b/site/releases/spark-release-0-8-1.html
@@ -137,7 +137,7 @@
<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&#8217;ve also included a pre-compiled binary for YARN 2.2.</p>
-<h3 id="high-availability-mode-for-standalone-scheduler">High Availability Mode for Standalone Scheduler</h3>
+<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>
<h3 id="performance-optimizations">Performance Optimizations</h3>