apache-spark
Spark Launcher

Osservazioni

/** The application has not reported back yet. */
UNKNOWN(false),
/** The application has connected to the handle. */
CONNECTED(false),
/** The application has been submitted to the cluster. */
SUBMITTED(false),
/** The application is running. */
RUNNING(false),
/** The application finished with a successful status. */
FINISHED(true),
/** The application finished with a failed status. */
FAILED(true),
/** The application was killed. */
KILLED(true),
/** The Spark Submit JVM exited with a unknown status. */
LOST(true);

SparkLauncher

Sotto il codice è un esempio di base di avvio di scintilla. Questo può essere usato se il lavoro di scintilla deve essere lanciato attraverso alcune applicazioni.

val sparkLauncher = new SparkLauncher
//Set Spark properties.only Basic ones are shown here.It will be overridden if properties are set in Main class.
sparkLauncher.setSparkHome("/path/to/SPARK_HOME")
  .setAppResource("/path/to/jar/to/be/executed")
  .setMainClass("MainClassName")
  .setMaster("MasterType like yarn or local[*]")
  .setDeployMode("set deploy mode like cluster")
  .setConf("spark.executor.cores","2")

// Lauch spark application
val sparkLauncher1 = sparkLauncher.startApplication()

//get jobId
val jobAppId = sparkLauncher1.getAppId

//Get status of job launched.THis loop will continuely show statuses like RUNNING,SUBMITED etc.
while (true) {
    println(sparkLauncher1.getState().toString)
}