运维系列：07、spark-submit

bin/spark-submit --help

Usage: spark-submit [options] <app jar | python file> [app options]

Options:

  --master MASTER_URL         spark://host:port, mesos://host:port, yarn, or local.

  --deploy-mode DEPLOY_MODE   Whether to launch the driver program locally ("client") or

                              on one of the worker machines inside the cluster ("cluster")

                              (Default: client).

  --class CLASS_NAME          Your application's main class (for Java / Scala apps).

  --name NAME                 A name of your application.

  --jars JARS                 Comma-separated list of local jars to include on the driver

                              and executor classpaths.

  --py-files PY_FILES         Comma-separated list of .zip, .egg, or .py files to place

                              on the PYTHONPATH for Python apps.

  --files FILES               Comma-separated list of files to be placed in the working

                              directory of each executor.

  --properties-file FILE      Path to a file from which to load extra properties. If not

                              specified, this will look for conf/spark-defaults.conf.

 

  --driver-memory MEM         Memory for driver (e.g. 1000M, 2G) (Default: 512M).

  --driver-java-options       Extra Java options to pass to the driver.bin

  --driver-library-path       Extra library path entries to pass to the driver.

  --driver-class-path         Extra class path entries to pass to the driver. Note that

                              jars added with --jars are automatically included in the

                              classpath.

 

  --executor-memory MEM       Memory per executor (e.g. 1000M, 2G) (Default: 1G).

 

  --help, -h                  Show this help message and exit

  --verbose, -v               Print additional debug output

 

Spark standalone with cluster deploy mode only:

  --driver-cores NUM          Cores for driver (Default: 1).

  --supervise                 If given, restarts the driver on failure.

 

Spark standalone and Mesos only:

  --total-executor-cores NUM  Total cores for all executors.

 

YARN-only:

  --executor-cores NUM        Number of cores per executor (Default: 1).

  --queue QUEUE_NAME          The YARN queue to submit to (Default: "default").

  --num-executors NUM         Number of executors to launch (Default: 2).

  --archives ARCHIVES         Comma separated list of archives to be extracted into the

                              working directory of each executor.

 

样例：

 

 YARN：

./bin/spark-submit \

--class org.apache.spark.examples.SparkPI \

--master yarn-cluster \

--num-executors 3 \

--driver-memory 4g \

--executor-memory 2g \

--executor-cores 1 \

lib/spark-examples*.jar \

10

 

注解：