Github user pwendell commented on a diff in the pull request:

    https://github.com/apache/spark/pull/701#discussion_r12505284
  
    --- Diff: docs/spark-standalone.md ---
    @@ -150,20 +162,30 @@ You can also pass an option `--cores <numCores>` to 
control the number of cores
     
     Spark supports two deploy modes. Spark applications may run with the 
driver inside the client process or entirely inside the cluster.
     
    -The spark-submit script described in the [cluster mode 
overview](cluster-overview.html) provides the most straightforward way to 
submit a compiled Spark application to the cluster in either deploy mode. For 
info on the lower-level invocations used to launch an app inside the cluster, 
read ahead.
    +The spark-submit script provides the most straightforward way to submit a 
compiled Spark application to the cluster in either deploy mode. For more 
detail, see the [cluster mode overview](cluster-overview.html).
    +
    +    ./bin/spark-submit \
    +      --class <main-class>
    +      --master <master-url> \
    +      --deploy-mode <deploy-mode> \
    +      ... // other options
    +      <application-jar>
    +      [application-arguments]
     
    -## Launching Applications Inside the Cluster
    +    main-class: The entry point for your application (e.g. 
org.apache.spark.examples.SparkPi)
    +    master-url: The URL of the master node (e.g. 
spark://23.195.26.187:7077)
    +    deploy-mode: Whether to deploy this application within the cluster or 
from an external client (e.g. client)
    +    application-jar: Path to a bundled jar including your application and 
all dependencies. The URL must be globally visible inside of your cluster, for 
instance, an `hdfs://` path or a `file://` path that is present on all nodes.
    +    application-arguments: Arguments passed to the main method of 
<main-class>
    +
    +Behind the scenes, this invokes the standalone Client to launch your 
application, which is also the legacy way to launch your application before 
Spark 1.0.
    --- End diff --
    
    Since this is deprecated we shouldn't document it. Otherwise new users of 
spark will use this.


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