Document standalone cluster supervise mode

Author: Andrew Or

docs/spark-standalone.md

@@ -257,7 +257,7 @@ To run an interactive Spark shell against the cluster, run the following command
 
 You can also pass an option `--total-executor-cores <numCores>` to control the number of cores that spark-shell uses on the cluster.
 
-# Launching Compiled Spark Applications
+# Launching Spark Applications
 
 The [`spark-submit` script](submitting-applications.html) provides the most straightforward way to
 submit a compiled Spark application to the cluster. For standalone clusters, Spark currently
@@ -272,6 +272,15 @@ should specify them through the `--jars` flag using comma as a delimiter (e.g. `
 To control the application's configuration or execution environment, see
 [Spark Configuration](configuration.html).
 
+Additionally, standalone `cluster` mode supports restarting your application on failure. To use
+this feature, you may pass in the `--supervise` flag to `spark-submit` when launching your
+application. Then, if you wish to kill an application that is failing repeatedly, you may do so
+through:
+
+    ./bin/spark-class org.apache.spark.deploy.Client kill <master url> <driver ID>
+
+You can find the driver ID through the standalone Master web UI at `http://<master url>:8080`.
+
 # Resource Scheduling
 
 The standalone cluster mode currently only supports a simple FIFO scheduler across applications.