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https://issues.apache.org/jira/browse/SPARK-1944?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Ash updated SPARK-1944:
------------------------------
Summary: Document --verbose in spark-shell -h (was: Document --verbse in
spark-shell -h)
> Document --verbose in spark-shell -h
> ------------------------------------
>
> Key: SPARK-1944
> URL: https://issues.apache.org/jira/browse/SPARK-1944
> Project: Spark
> Issue Type: Documentation
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Andrew Ash
> Priority: Minor
>
> The below help for spark-submit should make mention of the {{--verbose}}
> option
> {noformat}
> aash@aash-mbp ~/git/spark$ ./bin/spark-submit -h
> Usage: spark-submit [options] <app jar> [app options]
> Options:
> --master MASTER_URL spark://host:port, mesos://host:port, yarn, or
> local.
> --deploy-mode DEPLOY_MODE Mode to deploy the app in, either 'client' or
> 'cluster'.
> --class CLASS_NAME Name of your app's main class (required for
> Java apps).
> --arg ARG Argument to be passed to your application's
> main class. This
> option can be specified multiple times for
> multiple args.
> --name NAME The name of your application (Default: 'Spark').
> --jars JARS A comma-separated list of local jars to include
> on the
> driver classpath and that SparkContext.addJar
> will work
> with. Doesn't work on standalone with 'cluster'
> deploy mode.
> --files FILES Comma separated list of files to be placed in
> the working dir
> 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
> --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).
> 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 (Default: 2).
> --archives ARCHIVES Comma separated list of archives to be
> extracted into the
> working dir of each executor.
> aash@aash-mbp ~/git/spark$
> {noformat}
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