spark-shell --conf 

 1 spark-shell --conf  -h
 2 Usage: ./bin/spark-shell [options]
 3 
 4 Options:
 5   --master MASTER_URL         spark://host:port, mesos://host:port, yarn, or local.
 6   --deploy-mode DEPLOY_MODE   Whether to launch the driver program locally ("client") or
 7                               on one of the worker machines inside the cluster ("cluster")
 8                               (Default: client).
 9   --class CLASS_NAME          Your application's main class (for Java / Scala apps).
10   --name NAME                 A name of your application.
11   --jars JARS                 Comma-separated list of local jars to include on the driver
12                               and executor classpaths.
13   --packages                  Comma-separated list of maven coordinates of jars to include
14                               on the driver and executor classpaths. Will search the local
15                               maven repo, then maven central and any additional remote
16                               repositories given by --repositories. The format for the
17                               coordinates should be groupId:artifactId:version.
18   --repositories              Comma-separated list of additional remote repositories to
19                               search for the maven coordinates given with --packages.
20   --py-files PY_FILES         Comma-separated list of .zip, .egg, or .py files to place
21                               on the PYTHONPATH for Python apps.
22   --files FILES               Comma-separated list of files to be placed in the working
23                               directory of each executor.
24 
25   --conf PROP=VALUE           Arbitrary Spark configuration property.
26   --properties-file FILE      Path to a file from which to load extra properties. If not
27                               specified, this will look for conf/spark-defaults.conf.
28 
29   --driver-memory MEM         Memory for driver (e.g. 1000M, 2G) (Default: 512M).
30   --driver-java-options       Extra Java options to pass to the driver.
31   --driver-library-path       Extra library path entries to pass to the driver.
32   --driver-class-path         Extra class path entries to pass to the driver. Note that
33                               jars added with --jars are automatically included in the
34                               classpath.
35 
36   --executor-memory MEM       Memory per executor (e.g. 1000M, 2G) (Default: 1G).
37 
38   --proxy-user NAME           User to impersonate when submitting the application.
39 
40   --help, -h                  Show this help message and exit
41   --verbose, -v               Print additional debug output
42   --version,                  Print the version of current Spark
43 
44  Spark standalone with cluster deploy mode only:
45   --driver-cores NUM          Cores for driver (Default: 1).
46   --supervise                 If given, restarts the driver on failure.
47   --kill SUBMISSION_ID        If given, kills the driver specified.
48   --status SUBMISSION_ID      If given, requests the status of the driver specified.
49 
50  Spark standalone and Mesos only:
51   --total-executor-cores NUM  Total cores for all executors.
52 
53  YARN-only:
54   --driver-cores NUM          Number of cores used by the driver, only in cluster mode
55                               (Default: 1).
56   --executor-cores NUM        Number of cores per executor (Default: 1).
57   --queue QUEUE_NAME          The YARN queue to submit to (Default: "default").
58   --num-executors NUM         Number of executors to launch (Default: 2).
59   --archives ARCHIVES         Comma separated list of archives to be extracted into the
60                               working directory of each executor.

 

　　　　　　　　　　

posted @ 2015-11-21 14:22  澄轶  阅读(1304)  评论(0)  编辑  收藏  举报