向spark提交jar，需要使用 bin下的spark-submit

[hadoop@nbdo1 bin]$ ./spark-submit --help Usage: spark-submit [options] <app jar | python file> [app arguments] Usage: spark-submit --kill [submission ID] --master [spark://...] Usage: spark-submit --status [submission ID] --master [spark://...] Usage: spark-submit run-example [options] example-class [example args]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") oron 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 driverand executor classpaths.--packages Comma-separated list of maven coordinates of jars to includeon the driver and executor classpaths. Will search the localmaven repo, then maven central and any additional remoterepositories given by --repositories. The format for thecoordinates should be groupId:artifactId:version.--exclude-packages Comma-separated list of groupId:artifactId, to exclude whileresolving the dependencies provided in --packages to avoiddependency conflicts.--repositories Comma-separated list of additional remote repositories tosearch for the maven coordinates given with --packages.--py-files PY_FILES Comma-separated list of .zip, .egg, or .py files to placeon the PYTHONPATH for Python apps.--files FILES Comma-separated list of files to be placed in the workingdirectory of each executor.--conf PROP=VALUE Arbitrary Spark configuration property.--properties-file FILE Path to a file from which to load extra properties. If notspecified, this will look for conf/spark-defaults.conf.--driver-memory MEM Memory for driver (e.g. 1000M, 2G) (Default: 1024M).--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 thatjars added with --jars are automatically included in theclasspath.--executor-memory MEM Memory per executor (e.g. 1000M, 2G) (Default: 1G).--proxy-user NAME User to impersonate when submitting the application.This argument does not work with --principal / --keytab.--help, -h Show this help message and exit.--verbose, -v Print additional debug output.--version, Print the version of current Spark.Spark standalone with cluster deploy mode only:--driver-cores NUM Cores for driver (Default: 1).Spark standalone or Mesos with cluster deploy mode only:--supervise If given, restarts the driver on failure.--kill SUBMISSION_ID If given, kills the driver specified.--status SUBMISSION_ID If given, requests the status of the driver specified.Spark standalone and Mesos only:--total-executor-cores NUM Total cores for all executors.Spark standalone and YARN only:--executor-cores NUM Number of cores per executor. (Default: 1 in YARN mode,or all available cores on the worker in standalone mode)YARN-only:--driver-cores NUM Number of cores used by the driver, only in cluster mode(Default: 1).--queue QUEUE_NAME The YARN queue to submit to (Default: "default").--num-executors NUM Number of executors to launch (Default: 2).If dynamic allocation is enabled, the initial number ofexecutors will be at least NUM.--archives ARCHIVES Comma separated list of archives to be extracted into theworking directory of each executor.--principal PRINCIPAL Principal to be used to login to KDC, while running onsecure HDFS.--keytab KEYTAB The full path to the file that contains the keytab for theprincipal specified above. This keytab will be copied tothe node running the Application Master via the SecureDistributed Cache, for renewing the login tickets and thedelegation tokens periodically.

求PI值

spark內置了一些實例，在/home/hadoop/spark/examples/jars/spark-examples_2.11-2.1.1.jar 里
（不同版本位置有所區別）

該算法是利用蒙特·卡羅算法求PI

http://blog.csdn.net/xmmxjycqupt/article/details/9320627

https://www.zhihu.com/question/20254139

命令：

./spark-submit --master spark://nbdo1:7077 --class org.apache.spark.examples.SparkPi /home/hadoop/spark/examples/jars/spark-examples_2.11-2.1.1.jar 100

運行結果

.........

17/05/15 16:46:31 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool?
17/05/15 16:46:31 INFO DAGScheduler: ResultStage 0 (reduce at SparkPi.scala:38) finished in 5.875 s
17/05/15 16:46:31 INFO DAGScheduler: Job 0 finished: reduce at SparkPi.scala:38, took 6.407038 s
Pi is roughly 3.1420331142033113
17/05/15 16:46:31 INFO SparkUI: Stopped Spark web UI at http://192.168.18.146:4040
17/05/15 16:46:31 INFO StandaloneSchedulerBackend: Shutting down all executors
17/05/15 16:46:31 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Asking each executor to shut down

........

-------------

更多的Java，Android，大數據，J2EE，Python，數據庫，Linux，Java架構師，教程，視頻請訪問：

http://www.cnblogs.com/zengmiaogen/p/7083694.html

總結

以上是生活随笔為你收集整理的第一个Spark实例：求PI值的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。