JavaSnappyStreamingContext

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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. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. def getActive(): Optional[JavaSnappyStreamingContext]

   

   :: Experimental :: * Get the currently active context, if there is one.

   :: Experimental :: * Get the currently active context, if there is one. Active means started but not stopped.

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   @Experimental()

10. def getActiveOrCreate(checkpointPath: String, creatingFunc: Function0[JavaSnappyStreamingContext], hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): JavaSnappyStreamingContext

    

    :: Experimental ::

    :: Experimental ::

    Either get the currently active JavaSnappyStreamingContext (that is, started but not stopped), OR recreate a JavaSnappyStreamingContext from checkpoint data in the given path. If checkpoint data does not exist in the provided, then create a new JavaSnappyStreamingContext by calling the provided creatingFunc.

    checkpointPath

    Checkpoint directory used in an earlier JavaSnappyStreamingContext program

    creatingFunc

    Function to create a new JavaSnappyStreamingContext

    hadoopConf

    Optional Hadoop configuration if necessary for reading from the file system

    createOnError

    Optional, whether to create a new JavaSnappyStreamingContext if there is an error in reading checkpoint data. By default, an exception will be thrown on error.

    Annotations

    @Experimental()

11. def getActiveOrCreate(creatingFunc: Function0[JavaSnappyStreamingContext]): JavaSnappyStreamingContext

    

    :: Experimental ::

    :: Experimental ::

    Either return the "active" JavaSnappyStreamingContext (that is, started but not stopped), or create a new JavaSnappyStreamingContext that is

    creatingFunc

    Function to create a new StreamingContext

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    @Experimental()

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

    

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13. def getInstance(): Optional[JavaSnappyStreamingContext]

    

    :: Experimental ::

    :: Experimental ::

    Get the currently created context, it may be started or not, but never stopped.

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    @Experimental()

14. def getOrCreate(checkpointPath: String, creatingFunc: Function0[JavaSnappyStreamingContext], hadoopConf: Configuration = SparkHadoopUtil.get.conf, createOnError: Boolean = false): JavaSnappyStreamingContext

    

    Either recreate a JavaSnappyStreamingContext from checkpoint data or create a new JavaSnappyStreamingContext.

    Either recreate a JavaSnappyStreamingContext from checkpoint data or create a new JavaSnappyStreamingContext. If checkpoint data exists in the provided checkpointPath, then JavaSnappyStreamingContext will be recreated from the checkpoint data. If the data does not exist, then the JavaSnappyStreamingContext will be created by called the provided creatingFunc.

    checkpointPath

    Checkpoint directory used in an earlier JavaSnappyStreamingContext program

    creatingFunc

    Function to create a new JavaSnappyStreamingContext

    hadoopConf

    Optional Hadoop configuration if necessary for reading from the file system

    createOnError

    Optional, whether to create a new JavaSnappyStreamingContext if there is an error in reading checkpoint data. By default, an exception will be thrown on error.

15. def hashCode(): Int

    

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16. final def isInstanceOf[T0]: Boolean

    

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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

    

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

    

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