class KGroupedTable[K, V] extends AnyRef

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

K

Type of keys

V

Type of values

See also

org.apache.kafka.streams.kstream.KGroupedTable

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Instance Constructors

  1. new KGroupedTable(inner: kstream.KGroupedTable[K, V])

    inner

    The underlying Java abstraction for KGroupedTable

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. def aggregate[VR](initializer: ⇒ VR, named: Named)(adder: (K, V, VR) ⇒ VR, subtractor: (K, V, VR) ⇒ VR)(implicit materialized: Materialized[K, VR, ByteArrayKeyValueStore]): KTable[K, VR]

    Aggregate the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable using default serializers and deserializers.

    Aggregate the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable using default serializers and deserializers.

    initializer

    a function that provides an initial aggregate result value

    named

    a Named config used to name the processor in the topology

    adder

    a function that adds a new record to the aggregate result

    subtractor

    an aggregator function that removed an old record from the aggregate result

    materialized

    an instance of Materialized used to materialize a state store.

    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.KGroupedTable#aggregate

  5. def aggregate[VR](initializer: ⇒ VR)(adder: (K, V, VR) ⇒ VR, subtractor: (K, V, VR) ⇒ VR)(implicit materialized: Materialized[K, VR, ByteArrayKeyValueStore]): KTable[K, VR]

    Aggregate the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable using default serializers and deserializers.

    Aggregate the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable using default serializers and deserializers.

    initializer

    a function that provides an initial aggregate result value

    adder

    a function that adds a new record to the aggregate result

    subtractor

    an aggregator function that removed an old record from the aggregate result

    materialized

    an instance of Materialized used to materialize a state store.

    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.KGroupedTable#aggregate

  6. final def asInstanceOf[T0]: T0
    Definition Classes
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  7. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native()
  8. def count(named: Named)(implicit materialized: Materialized[K, Long, ByteArrayKeyValueStore]): KTable[K, Long]

    Count number of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    Count number of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    named

    a Named config used to name the processor in the topology

    materialized

    an instance of Materialized used to materialize a state store.

    returns

    a KTable that contains "update" records with unmodified keys and Long values that represent the latest (rolling) count (i.e., number of records) for each key

    See also

    org.apache.kafka.streams.kstream.KGroupedTable#count

  9. def count()(implicit materialized: Materialized[K, Long, ByteArrayKeyValueStore]): KTable[K, Long]

    Count number of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    Count number of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    materialized

    an instance of Materialized used to materialize a state store.

    returns

    a KTable that contains "update" records with unmodified keys and Long values that represent the latest (rolling) count (i.e., number of records) for each key

    See also

    org.apache.kafka.streams.kstream.KGroupedTable#count

  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
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  12. def finalize(): Unit
    Attributes
    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
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    @native()
  14. def hashCode(): Int
    Definition Classes
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    @native()
  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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    @native()
  18. final def notifyAll(): Unit
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    @native()
  19. def reduce(adder: (V, V) ⇒ V, subtractor: (V, V) ⇒ V, named: Named)(implicit materialized: Materialized[K, V, ByteArrayKeyValueStore]): KTable[K, V]

    Combine the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    Combine the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    adder

    a function that adds a new value to the aggregate result

    subtractor

    a function that removed an old value from the aggregate result

    named

    a Named config used to name the processor in the topology

    materialized

    an instance of Materialized used to materialize a state store.

    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.KGroupedTable#reduce

  20. def reduce(adder: (V, V) ⇒ V, subtractor: (V, V) ⇒ V)(implicit materialized: Materialized[K, V, ByteArrayKeyValueStore]): KTable[K, V]

    Combine the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    Combine the value of records of the original KTable that got KTable#groupBy to the same key into a new instance of KTable.

    adder

    a function that adds a new value to the aggregate result

    subtractor

    a function that removed an old value from the aggregate result

    materialized

    an instance of Materialized used to materialize a state store.

    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.KGroupedTable#reduce

  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  22. def toString(): String
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  23. final def wait(): Unit
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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()

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