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org.apache.spark

SparkParallelismTracker

class SparkParallelismTracker extends AnyRef

A tracker that ensures enough number of executor cores are alive. Throws an exception when the number of alive cores is less than nWorkers.

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Instance Constructors

  1. new SparkParallelismTracker(sc: SparkContext, timeout: Long, numWorkers: Int)

    sc

    The SparkContext object

    timeout

    The maximum time to wait for enough number of workers.

    numWorkers

    nWorkers used in an XGBoost Job

Value Members

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  8. def execute[T](body: ⇒ T): T

    Execute a blocking function call with two checks on enough nWorkers:

    Execute a blocking function call with two checks on enough nWorkers:

    • Before the function starts, wait until there are enough executor cores.
    • During the execution, throws an exception if there is any executor lost.
    T

    Return type

    body

    A blocking function call

    returns

    The return of body

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  15. final def notifyAll(): Unit
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  16. val sc: SparkContext
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  19. final def wait(): Unit
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  20. final def wait(arg0: Long, arg1: Int): Unit
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  21. final def wait(arg0: Long): Unit
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