com.alpine.plugin.core.spark

SparkPluginJob

abstract class SparkPluginJob extends AnyRef

:: AlpineSdkApi :: This is the Spark Job base class. It gets submitted to the cluster by a Runtime class which is a derivative of SparkRuntime. The 'onExecution method' in this class serves as the driver function for the Spark Job.

If you choose to use this class as a base rather than using the its child "SparkIOTypedPluginJob' you must implement your own serialization and deserialization logic for the inputs and outputs.

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  1. new SparkPluginJob()

Abstract Value Members

  1. abstract def onExecution(sparkContext: SparkContext, appConf: Map[String, String], listener: OperatorListener): Unit

    The driver function of this Spark job.

    The driver function of this Spark job. After the end (Alpine) user has 'run' your custom operator, this Spark job will be submitted to the cluster.

    sparkContext

    Spark context created when the Spark job was submitted

    appConf

    a map containing system related parameters (rather than operator parameters) including all Spark parameters, workflow-level variables

    listener

    a listener object which allows you to send messages to th Alpine GUI during the Spark job

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