Packages

  • package root
    Definition Classes
    root
  • package com
    Definition Classes
    root
  • package coxautodata
    Definition Classes
    com
  • package waimak
    Definition Classes
    coxautodata
  • package spark
    Definition Classes
    waimak
  • package app
    Definition Classes
    spark
  • object MultiAppRunner

    Allows multiple Spark applications to be run in a single main method whilst obeying configured dependency constraints.

    Allows multiple Spark applications to be run in a single main method whilst obeying configured dependency constraints. The following configuration values should be present in the SparkSession:

    spark.waimak.apprunner.apps: a comma-delimited list of the names (identifiers) of all of the applications being run (e.g. myapp1,myapp2)

    spark.waimak.apprunner.{appname}.appClassName: for each application, the application class to use (must extend SparkApp) (e.g. spark.waimak.apprunner.myapp1.appClassName = com.example.MyWaimakApp)

    spark.waimak.apprunner.{appname}.dependencies: for each application, an optional comma-delimited list of dependencies. If omitted, the application will have no dependencies and will not wait for other apps to finish before starting execution. Dependencies must match the names provided in spark.waimak.apprunner.apps (e.g. spark.waimak.apprunner.myapp1.dependencies = myapp2)

    The Env implementation used by the provided SparkApp implementation expects configuration values prefixed with: spark.waimak.environment.{appname}.

    Definition Classes
    app
  • MultiApplicationFlow

implicit class MultiApplicationFlow extends AnyRef

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Instance Constructors

  1. new MultiApplicationFlow(flow: SparkDataFlow)

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  8. def executeApp(dependencies: String*)(app: (SparkSession) ⇒ Any, outputLabel: String): SparkDataFlow
  9. def finalize(): Unit
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