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Diffstat (limited to 'docs/spark-standalone.md')
| -rw-r--r-- | docs/spark-standalone.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/spark-standalone.md b/docs/spark-standalone.md index 7bad006a23..ae630a0371 100644 --- a/docs/spark-standalone.md +++ b/docs/spark-standalone.md @@ -68,7 +68,7 @@ Finally, the following configuration options can be passed to the master and wor To launch a Spark standalone cluster with the deploy scripts, you need to set up two files, `conf/spark-env.sh` and `conf/slaves`. The `conf/spark-env.sh` file lets you specify global settings for the master and slave instances, such as memory, or port numbers to bind to, while `conf/slaves` is a list of slave nodes. The system requires that all the slave machines have the same configuration files, so *copy these files to each machine*. -In `conf/spark-env.sh`, you can set the following parameters, in addition to the [standard Spark configuration settongs]({{HOME_PATH}}configuration.html): +In `conf/spark-env.sh`, you can set the following parameters, in addition to the [standard Spark configuration settongs](configuration.html): <table class="table"> <tr><th style="width:21%">Environment Variable</th><th>Meaning</th></tr> @@ -123,7 +123,7 @@ Note that the scripts must be executed on the machine you want to run the Spark # Connecting a Job to the Cluster To run a job on the Spark cluster, simply pass the `spark://IP:PORT` URL of the master as to the [`SparkContext` -constructor]({{HOME_PATH}}scala-programming-guide.html#initializing-spark). +constructor](scala-programming-guide.html#initializing-spark). To run an interactive Spark shell against the cluster, run the following command: |