Class

org.apache.flink.streaming.api.scala.extensions.impl.acceptPartialFunctions

OnJoinedStream

Related Doc: package acceptPartialFunctions

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class OnJoinedStream[L, R, K, W <: Window] extends AnyRef

Wraps a joined data stream, allowing to use anonymous partial functions to perform extraction of items in a tuple, case class instance or collection

L

The type of the data stream items from the left side of the join

R

The type of the data stream items from the right input of the join

K

The type of key

W

The type of the window

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Instance Constructors

  1. new OnJoinedStream(stream: WithWindow[W])

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    stream

    The wrapped data stream

Value Members

  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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    protected[java.lang]
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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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    @throws( classOf[java.lang.Throwable] )

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def projecting[O](fun: (L, R) ⇒ O)(implicit arg0: TypeInformation[O]): DataStream[O]

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    Completes the join operation with the user function that is executed for windowed groups.

    Completes the join operation with the user function that is executed for windowed groups.

    O

    The return type of the projection, for which type information must be known

    fun

    The function that defines the projection of the join

    returns

    A fully joined data set of Os

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    @PublicEvolving()

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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