org.apache.spark.deploy

SparkHadoopUtil

class SparkHadoopUtil extends AnyRef

Contains util methods to interact with Hadoop from Spark.

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Instance Constructors

  1. new SparkHadoopUtil()

Value Members

  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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  6. def addCredentials(conf: JobConf): Unit

    Add any user credentials to the job conf which are necessary for running on a secure Hadoop cluster.

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. val conf: Configuration

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

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

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  18. def newConfiguration(): Configuration

    Return an appropriate (subclass) of Configuration.

    Return an appropriate (subclass) of Configuration. Creating config can initializes some Hadoop subsystems.

  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def runAsUser(user: String)(func: () ⇒ Unit): Unit

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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