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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