From 37292e976c5762484d64da70098a343580c209e1 Mon Sep 17 00:00:00 2001 From: Patrick Wendell Date: Fri, 20 Dec 2013 01:33:18 +0000 Subject: Using 'standalone cluster manager' instead of 'standalone scheduler' --- releases/_posts/2013-12-19-spark-release-0-8-1.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'releases') 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 YARN documentation 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 in the documentation. 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 in the documentation. The current implementation uses Zookeeper for coordination. ### Performance Optimizations This release adds several performance optimizations: -- cgit v1.2.3