diff options
author | Patrick Wendell <pwendell@apache.org> | 2013-12-20 01:33:18 +0000 |
---|---|---|
committer | Patrick Wendell <pwendell@apache.org> | 2013-12-20 01:33:18 +0000 |
commit | 37292e976c5762484d64da70098a343580c209e1 (patch) | |
tree | 758f0cf0f79e4726cf8c3f4079a64d03b88c1315 /site/releases/spark-release-0-8-1.html | |
parent | 005b8a467996256adced07157854f6b7ce77f35a (diff) | |
download | spark-website-37292e976c5762484d64da70098a343580c209e1.tar.gz spark-website-37292e976c5762484d64da70098a343580c209e1.tar.bz2 spark-website-37292e976c5762484d64da70098a343580c209e1.zip |
Using 'standalone cluster manager' instead of 'standalone scheduler'
Diffstat (limited to 'site/releases/spark-release-0-8-1.html')
-rw-r--r-- | site/releases/spark-release-0-8-1.html | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/releases/spark-release-0-8-1.html b/site/releases/spark-release-0-8-1.html index 0151e871b..f8665ef02 100644 --- a/site/releases/spark-release-0-8-1.html +++ b/site/releases/spark-release-0-8-1.html @@ -138,7 +138,7 @@ <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> <h3 id="high-availability-mode-for-standalone-scheduler">High Availability Mode for Standalone Scheduler</h3> -<p>The standalone scheduler 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> +<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> <p>This release adds several performance optimizations:</p> |