org.apache.spark

# SparkParallelismTracker

###
Related Doc: package spark

#### 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, nWorkers: Int)

   sc

     The SparkContext object

   timeout

     The maximum time to wait for enough number of workers.

   nWorkers

     nWorkers used in an XGBoost Job

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

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7. #### def equals(arg0: Any): Boolean

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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

9. #### def finalize(): Unit

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14. #### final def notify(): Unit

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15. #### final def notifyAll(): Unit

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16. #### val sc: SparkContext

    The SparkContext object

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

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18. #### def toString(): String

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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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