Class

io.smartdatalake.workflow.action.customlogic

CustomFileTransformerWrapper

Related Doc: package customlogic

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class CustomFileTransformerWrapper extends CustomFileTransformer with SmartDataLakeLogger

Linear Supertypes
SmartDataLakeLogger, CustomFileTransformer, Serializable, Serializable, AnyRef, Any
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Inherited
  1. CustomFileTransformerWrapper
  2. SmartDataLakeLogger
  3. CustomFileTransformer
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Instance Constructors

  1. new CustomFileTransformerWrapper(fnExec: (FSDataInputStream, FSDataOutputStream, Logger) ⇒ Option[Exception])

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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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    AnyRef → Any

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

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. val fnExec: (FSDataInputStream, FSDataOutputStream, Logger) ⇒ Option[Exception]

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

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    AnyRef → Any

  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. lazy val logger: Logger

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    Attributes
    protected
    Definition Classes
    SmartDataLakeLogger

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef

  18. def toString(): String

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    Definition Classes
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  19. def transform(input: FSDataInputStream, output: FSDataOutputStream): Option[Exception]

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    This method has to be implemented by the custom transformer to define the transformation.

    This method has to be implemented by the custom transformer to define the transformation.

    input

    Hadoop Input Stream of the file to be read

    output

    Hadoop Output Stream of the file to be written

    returns

    exception if something goes wrong and processing should not be stopped for all files

    Definition Classes
    CustomFileTransformerWrapper → CustomFileTransformer

  20. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from SmartDataLakeLogger

Inherited from CustomFileTransformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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