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| author | Patrick Wendell <pwendell@apache.org> | 2013-12-20 01:33:18 +0000 |
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| committer | Patrick Wendell <pwendell@apache.org> | 2013-12-20 01:33:18 +0000 |
| commit | 37292e976c5762484d64da70098a343580c209e1 (patch) | |
| tree | 758f0cf0f79e4726cf8c3f4079a64d03b88c1315 /releases | |
| 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 'releases')
| -rw-r--r-- | releases/_posts/2013-12-19-spark-release-0-8-1.md | 2 |
1 files changed, 1 insertions, 1 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 a2e7c5aff..1ad2bacaa 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 @@ -18,7 +18,7 @@ Apache Spark 0.8.1 is a maintenance and performance release for the Scala 2.9 ve 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 -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="{{site.url}}docs/0.8.1/spark-standalone.html#high-availability">in the documentation</a>. The current implementation uses Zookeeper for coordination. +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 This release adds several performance optimizations: |