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| author | Evan Chan <ev@ooyala.com> | 2013-09-07 08:56:24 -0700 |
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| committer | Evan Chan <ev@ooyala.com> | 2013-09-07 08:56:24 -0700 |
| commit | be1ee28ca630e663f54f0ca043e7f1877ccb3da8 (patch) | |
| tree | f10c879a16a0e6cbccb7d13b9bdb9906aefb9db2 /docs/spark-standalone.md | |
| parent | ff1dbf210691988cbe8b09aafa37815060fdd7ac (diff) | |
| download | spark-be1ee28ca630e663f54f0ca043e7f1877ccb3da8.tar.gz spark-be1ee28ca630e663f54f0ca043e7f1877ccb3da8.tar.bz2 spark-be1ee28ca630e663f54f0ca043e7f1877ccb3da8.zip | |
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| -rw-r--r-- | docs/spark-standalone.md | 5 |
1 files changed, 1 insertions, 4 deletions
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md index 30641bd777..69e1291580 100644 --- a/docs/spark-standalone.md +++ b/docs/spark-standalone.md @@ -5,7 +5,7 @@ title: Spark Standalone Mode In addition to running on the Mesos or YARN cluster managers, Spark also provides a simple standalone deploy mode. You can launch a standalone cluster either manually, by starting a master and workers by hand, or use our provided [launch scripts](#cluster-launch-scripts). It is also possible to run these daemons on a single machine for testing. -# Deploying Spark Standalone to a Cluster +# Installing Spark Standalone to a Cluster The easiest way to deploy Spark is by running the `./make-distribution.sh` script to create a binary distribution. This distribution can be deployed to any machine with the Java runtime installed; there is no need to install Scala. @@ -13,9 +13,6 @@ This distribution can be deployed to any machine with the Java runtime installed The recommended procedure is to deploy and start the master on one node first, get the master spark URL, then modify `conf/spark-env.sh` in the `dist/` directory before deploying to all the other nodes. -It is also possible to deploy the source directory once you have built it with `sbt assembly`. Scala 2.9.3 -will need to be deployed on all the machines as well, and SCALA_HOME will need to point to the Scala installation. - # Starting a Cluster Manually You can start a standalone master server by executing: |