Class

org.interestinglab.waterdrop.input

Fake

Related Doc: package input

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class Fake extends BaseInput

Linear Supertypes
BaseInput, Plugin, Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. Fake
  2. BaseInput
  3. Plugin
  4. Logging
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new Fake(config: Config)

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Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. def afterOutput: Unit

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    Things to do after output, such as update offset

    Things to do after output, such as update offset

    Definition Classes
    BaseInput
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. def beforeOutput: Unit

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    Things to do after filter and before output

    Things to do after filter and before output

    Definition Classes
    BaseInput
  7. def checkConfig(): (Boolean, String)

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    Return true and empty string if config is valid, return false and error message if config is invalid.

    Return true and empty string if config is valid, return false and error message if config is invalid.

    Definition Classes
    FakePlugin
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. var config: Config

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

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    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  14. def getDStream(ssc: StreamingContext): DStream[(String, String)]

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    No matter what kind of Input it is, all you have to do is create a DStream to be used latter

    No matter what kind of Input it is, all you have to do is create a DStream to be used latter

    Definition Classes
    FakeBaseInput
  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  16. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  18. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  19. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  20. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  21. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  22. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  23. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  24. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  25. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  26. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  27. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  28. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  29. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  30. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  31. def name: String

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    Get Plugin Name.

    Get Plugin Name.

    Definition Classes
    Plugin
  32. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  33. final def notify(): Unit

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    Definition Classes
    AnyRef
  34. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  35. def prepare(spark: SparkSession, ssc: StreamingContext): Unit

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    Prepare before running, do things like set config default value, add broadcast variable, accumulator.

    Prepare before running, do things like set config default value, add broadcast variable, accumulator.

    Definition Classes
    FakePlugin
  36. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  37. def toString(): String

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    Definition Classes
    AnyRef → Any
  38. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from BaseInput

Inherited from Plugin

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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