ExecutorUtils

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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8. def createBoundedExecutorService(name: String, maxWorkQueueDepth: Int, minThreads: Int, maxThreads: Int, maxIdleTime: Duration)(rejectedExecutionHandler: ⇒ Unit): ExecutorService

   Creates an java.util.concurrent.ExecutorService with bounded work queue and fixed lower and upper bounds on the thread pool size used to service the work queue.

   Creates an java.util.concurrent.ExecutorService with bounded work queue and fixed lower and upper bounds on the thread pool size used to service the work queue. The returned executor service will export stats monitoring queue depth, active thread count and rejections due to queue full conditions.

9. def createBoundedExecutorService(name: String, config: (String) ⇒ Int)(rejectedExecutionHandler: ⇒ Unit): ExecutorService

   Creates an java.util.concurrent.ExecutorService with bounded work queue and fixed lower and upper bounds on the thread pool size used to service the work queue.

   Creates an java.util.concurrent.ExecutorService with bounded work queue and fixed lower and upper bounds on the thread pool size used to service the work queue. The returned executor service will export stats monitoring queue depth, active thread count and rejections due to queue full conditions.

   The supplied config map requires the following configuration keys:

   • max_work_queue_depth
   • min_num_worker_threads
   • max_num_worker_threads
   • max_worker_idle_time_millis

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

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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

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14. def hashCode(): Int

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15. final def isInstanceOf[T0]: Boolean

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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19. def parallelForEach[T, A](executorService: ExecutorService, inputs: Seq[T], work: (T) ⇒ A): Unit

    Farm out separate threads using an ExecutorService to perform work on inputs.

    Farm out separate threads using an ExecutorService to perform work on inputs. Unlike ExecutorUtils.parallelWork, no values are returned. If an exception occurs in a worker thread, it is rethrown on the calling thread.

    executorService

    the ExecutorService to use for parallelization

    inputs

    a sequence of inputs to work on

    work

    the work to apply to the inputs

20. def parallelWork[T, A](executorService: ExecutorService, inputs: Seq[T], work: (T) ⇒ A): List[Future[A]]

    Farm out separate threads using an ExecutorService to perform work on inputs

    Farm out separate threads using an ExecutorService to perform work on inputs

    executorService

    the ExecutorService to use for parallelization

    inputs

    a sequence of inputs to work on

    work

    the work to apply to the inputs

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

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22. def toString(): String

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23. final def wait(): Unit

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

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

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