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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