Class

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

OnConnectedStream

Related Doc: package acceptPartialFunctions

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class OnConnectedStream[IN1, IN2] extends AnyRef

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

IN1

The type of the data stream items coming from the first connection

IN2

The type of the data stream items coming from the second connection

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Instance Constructors

  1. new OnConnectedStream(stream: ConnectedStreams[IN1, IN2])

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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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  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 flatMapWith[R](flatMap1: (IN1) ⇒ TraversableOnce[R], flatMap2: (IN2) ⇒ TraversableOnce[R])(implicit arg0: TypeInformation[R]): DataStream[R]

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    Applies a CoFlatMap transformation on the connected streams.

    Applies a CoFlatMap transformation on the connected streams.

    The transformation consists of two separate functions, where the first one is called for each element of the first connected stream, and the second one is called for each element of the second connected stream.

    flatMap1

    Function called per element of the first input.

    flatMap2

    Function called per element of the second input.

    returns

    The resulting data stream.

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    @PublicEvolving()

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def keyingBy[K1, K2](key1: (IN1) ⇒ K1, key2: (IN2) ⇒ K2)(implicit arg0: TypeInformation[K1], arg1: TypeInformation[K2]): ConnectedStreams[IN1, IN2]

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    Keys the two connected streams together.

    Keys the two connected streams together. After this operation, all elements with the same key from both streams will be sent to the same parallel instance of the transformation functions.

    key1

    The first stream's key function

    key2

    The second stream's key function

    returns

    The key-grouped connected streams

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    @PublicEvolving()

  14. def mapWith[R](map1: (IN1) ⇒ R, map2: (IN2) ⇒ R)(implicit arg0: TypeInformation[R]): DataStream[R]

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    Applies a CoMap transformation on the connected streams.

    Applies a CoMap transformation on the connected streams.

    The transformation consists of two separate functions, where the first one is called for each element of the first connected stream, and the second one is called for each element of the second connected stream.

    map1

    Function called per element of the first input.

    map2

    Function called per element of the second input.

    returns

    The resulting data stream.

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    @PublicEvolving()

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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