ClusterUtil

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

   

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2. final def ##(): Int

   

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

   

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10. def getDriverHost(dataset: Dataset[_]): String

    

11. def getExecutors(dataset: Dataset[_]): Array[(Int, String)]

    

    Returns a list of executor id and host.

    Returns a list of executor id and host.

    dataset

    The dataset containing the current spark session.

    returns

    List of executors as an array of (id,host).

12. def getHostToIP(hostname: String): String

    

13. def getJVMCPUs(spark: SparkSession): Int

    

14. def getNumCoresPerExecutor(dataset: Dataset[_], log: Logger): Int

    

    Get number of cores from dummy dataset for 1 executor.

    Get number of cores from dummy dataset for 1 executor. Note: all executors have same number of cores, and this is more reliable than getting value from conf.

    dataset

    The dataset containing the current spark session.

    returns

    The number of cores per executor.

15. def getNumExecutorCores(dataset: Dataset[_], numCoresPerExec: Int, log: Logger): Int

    

    Returns the number of executors * number of cores.

    Returns the number of executors * number of cores.

    dataset

    The dataset containing the current spark session.

    numCoresPerExec

    The number of cores per executor.

    returns

    The number of executors * number of cores.

16. def hashCode(): Int

    

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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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