Class/Object

org.apache.gearpump.streaming.appmaster

JarScheduler

Related Docs: object JarScheduler | package appmaster

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class JarScheduler extends AnyRef

Different processors of the stream application can use different jars. JarScheduler is the scheduler for different jars.

For a DAG of multiple processors, each processor can have its own jar. Tasks of same jar is scheduled by TaskScheduler, and TaskSchedulers are scheduled by JarScheduler.

In runtime, the implementation is delegated to actor JarSchedulerImpl

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Instance Constructors

  1. new JarScheduler(appId: Int, appName: String, config: Config, factory: ActorRefFactory)

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def executorFailed(executorId: Int): Future[Option[ResourceRequestDetail]]

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    Some executor JVM process is dead.

    Some executor JVM process is dead. AppMaster asks jar scheduler to re-schedule the impacted tasks.

  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def getResourceRequestDetails(): Future[Array[ResourceRequestDetail]]

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    AppMaster ask JarScheduler about how many resource it wants

  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def scheduleTask(appJar: AppJar, workerId: WorkerId, executorId: Int, resource: Resource): Future[List[TaskId]]

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    AppMaster has resource allocated, and ask the jar scheduler to schedule tasks for this executor.

  18. def setDag(dag: DAG, startClock: Future[TimeStamp]): Unit

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    Set the current DAG version active

  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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