SparkJobUtils

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def configToSparkConf(config: Config, contextConfig: Config, contextName: String): SparkConf

   

   Creates a SparkConf for initializing a SparkContext based on various configs.

   Creates a SparkConf for initializing a SparkContext based on various configs. Note that anything in contextConfig with keys beginning with spark. get put directly in the SparkConf.

   config

   the overall Job Server configuration (Typesafe Config)

   contextConfig

   the Typesafe Config specific to initializing this context (typically based on particular context/job)

   contextName

   the context name

   returns

   a SparkConf with everything properly configured

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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11. def getContextTimeout(config: Config): Int

    

    According "spark.master", returns the timeout of create sparkContext

12. def getHadoopConfig(config: Config): Map[String, String]

    
    config

    the specific context configuration

    returns

    a map of the hadoop configuration values or an empty Map

13. def getMaxRunningJobs(config: Config): Int

    

    Returns the maximum number of jobs that can run at the same time

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

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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