class CogroupedKStream[KIn, VOut] extends AnyRef

Wraps the Java class CogroupedKStream and delegates method calls to the underlying Java object.

KIn

Type of keys

VOut

Type of values

See also

org.apache.kafka.streams.kstream.CogroupedKStream

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Instance Constructors

  1. new CogroupedKStream(inner: kstream.CogroupedKStream[KIn, VOut])

    inner

    The underlying Java abstraction for CogroupedKStream

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. def aggregate(initializer: => VOut, named: Named)(implicit materialized: Materialized[KIn, VOut, ByteArrayKeyValueStore]): KTable[KIn, VOut]

    Aggregate the values of records in these streams by the grouped key and defined window.

    Aggregate the values of records in these streams by the grouped key and defined window.

    initializer

    an Initializer that computes an initial intermediate aggregation result. Cannot be { @code null}.

    named

    a Named config used to name the processor in the topology

    materialized

    an instance of Materialized used to materialize a state store. Cannot be { @code null}.

    returns

    a KTable that contains "update" records with unmodified keys, and values that represent the latest (rolling) aggregate for each key

    See also

    org.apache.kafka.streams.kstream.CogroupedKStream#aggregate

  5. def aggregate(initializer: => VOut)(implicit materialized: Materialized[KIn, VOut, ByteArrayKeyValueStore]): KTable[KIn, VOut]

    Aggregate the values of records in these streams by the grouped key and defined window.

    Aggregate the values of records in these streams by the grouped key and defined window.

    initializer

    an Initializer that computes an initial intermediate aggregation result. Cannot be { @code null}.

    materialized

    an instance of Materialized used to materialize a state store. Cannot be { @code null}.

    returns

    a KTable that contains "update" records with unmodified keys, and values that represent the latest (rolling) aggregate for each key

    See also

    org.apache.kafka.streams.kstream.CogroupedKStream#aggregate

  6. final def asInstanceOf[T0]: T0
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  7. def clone(): AnyRef
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  8. def cogroup[VIn](groupedStream: KGroupedStream[KIn, VIn], aggregator: (KIn, VIn, VOut) => VOut): CogroupedKStream[KIn, VOut]

    Add an already KGroupedStream to this CogroupedKStream.

    Add an already KGroupedStream to this CogroupedKStream.

    groupedStream

    a group stream

    aggregator

    a function that computes a new aggregate result

    returns

    a CogroupedKStream

  9. final def eq(arg0: AnyRef): Boolean
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  10. def equals(arg0: AnyRef): Boolean
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  11. def finalize(): Unit
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  13. def hashCode(): Int
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    @native()
  14. val inner: kstream.CogroupedKStream[KIn, VOut]
  15. final def isInstanceOf[T0]: Boolean
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  16. final def ne(arg0: AnyRef): Boolean
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  17. final def notify(): Unit
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  18. final def notifyAll(): Unit
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  19. final def synchronized[T0](arg0: => T0): T0
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  20. def toString(): String
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  21. final def wait(): Unit
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  22. final def wait(arg0: Long, arg1: Int): Unit
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  23. final def wait(arg0: Long): Unit
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  24. def windowedBy(windows: SessionWindows): SessionWindowedCogroupedKStream[KIn, VOut]

    Create a new SessionWindowedKStream instance that can be used to perform session windowed aggregations.

    Create a new SessionWindowedKStream instance that can be used to perform session windowed aggregations.

    windows

    the specification of the aggregation SessionWindows

    returns

    an instance of SessionWindowedKStream

    See also

    org.apache.kafka.streams.kstream.KGroupedStream#windowedBy

  25. def windowedBy[W <: Window](windows: Windows[W]): TimeWindowedCogroupedKStream[KIn, VOut]

    Create a new TimeWindowedCogroupedKStream instance that can be used to perform windowed aggregations.

    Create a new TimeWindowedCogroupedKStream instance that can be used to perform windowed aggregations.

    windows

    the specification of the aggregation Windows

    returns

    an instance of TimeWindowedCogroupedKStream

    See also

    org.apache.kafka.streams.kstream.CogroupedKStream#windowedBy

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