Class

com.lightbend.kafka.scala.streams

KStreamS

Related Doc: package streams

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class KStreamS[K, V] extends AnyRef

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

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Instance Constructors

  1. new KStreamS(inner: KStream[K, V])

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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 branch(predicates: (K, V) ⇒ Boolean*): Array[KStreamS[K, V]]

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def filter(predicate: (K, V) ⇒ Boolean): KStreamS[K, V]

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  10. def filterNot(predicate: (K, V) ⇒ Boolean): KStreamS[K, V]

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  11. def finalize(): Unit

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  12. def flatMap[KR, VR](mapper: (K, V) ⇒ Iterable[(KR, VR)]): KStreamS[KR, VR]

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  13. def flatMapValues[VR](processor: (V) ⇒ Iterable[VR]): KStreamS[K, VR]

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  14. def foreach(action: (K, V) ⇒ Unit): Unit

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

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  16. def groupBy[KR](selector: (K, V) ⇒ KR)(implicit serialized: Serialized[KR, V]): KGroupedStreamS[KR, V]

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  17. def groupByKey(implicit serialized: Serialized[K, V]): KGroupedStreamS[K, V]

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    If Serialized[K, V] is found in the implicit scope, then use it, else use the API with the default serializers.

    If Serialized[K, V] is found in the implicit scope, then use it, else use the API with the default serializers.

    Usage Pattern 1: No implicits in scope, use default serializers - .groupByKey

    Usage Pattern 2: Use implicit Serialized in scope implicit val serialized = Serialized.with(stringSerde, longSerde) - .groupByKey

    Usage Pattern 3: uses the implicit conversion from the serdes to Serialized implicit val stringSerde: Serde[String] = Serdes.String() implicit val longSerde: Serde[Long] = Serdes.Long().asInstanceOf[Serde[Long]] - .groupByKey

  18. def hashCode(): Int

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  19. val inner: KStream[K, V]

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  20. final def isInstanceOf[T0]: Boolean

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  21. def join[GK, GV, RV](globalKTable: GlobalKTable[GK, GV], keyValueMapper: (K, V) ⇒ GK, joiner: (V, GV) ⇒ RV): KStreamS[K, RV]

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  22. def join[VT, VR](table: KTableS[K, VT], joiner: (V, VT) ⇒ VR)(implicit joined: Joined[K, V, VT]): KStreamS[K, VR]

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  23. def join[VO, VR](otherStream: KStreamS[K, VO], joiner: (V, VO) ⇒ VR, windows: JoinWindows)(implicit joined: Joined[K, V, VO]): KStreamS[K, VR]

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  24. def leftJoin[GK, GV, RV](globalKTable: GlobalKTable[GK, GV], keyValueMapper: (K, V) ⇒ GK, joiner: (V, GV) ⇒ RV): KStreamS[K, RV]

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  25. def leftJoin[VT, VR](table: KTableS[K, VT], joiner: (V, VT) ⇒ VR)(implicit joined: Joined[K, V, VT]): KStreamS[K, VR]

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  26. def leftJoin[VO, VR](otherStream: KStreamS[K, VO], joiner: (V, VO) ⇒ VR, windows: JoinWindows)(implicit joined: Joined[K, V, VO]): KStreamS[K, VR]

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  27. def map[KR, VR](mapper: (K, V) ⇒ (KR, VR)): KStreamS[KR, VR]

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  28. def mapValues[VR](mapper: (V) ⇒ VR): KStreamS[K, VR]

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  29. def merge(stream: KStreamS[K, V]): KStreamS[K, V]

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

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  31. final def notify(): Unit

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  32. final def notifyAll(): Unit

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  33. def outerJoin[VO, VR](otherStream: KStreamS[K, VO], joiner: (V, VO) ⇒ VR, windows: JoinWindows)(implicit joined: Joined[K, V, VO]): KStreamS[K, VR]

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  34. def peek(action: (K, V) ⇒ Unit): KStreamS[K, V]

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  35. def print(printed: Printed[K, V]): Unit

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  36. def process(processorSupplier: () ⇒ Processor[K, V], stateStoreNames: String*): Unit

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  37. def selectKey[KR](mapper: (K, V) ⇒ KR): KStreamS[KR, V]

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  38. def split(predicate: (K, V) ⇒ Boolean): (KStreamS[K, V], KStreamS[K, V])

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

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  40. def through(topic: String)(implicit produced: Produced[K, V]): KStreamS[K, V]

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  41. def to(topic: String)(implicit produced: Produced[K, V]): Unit

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  42. def toString(): String

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  43. def transform[K1, V1](transformerSupplier: () ⇒ Transformer[K, V, (K1, V1)], stateStoreNames: String*): KStreamS[K1, V1]

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  44. def transformValues[VR](valueTransformerSupplier: () ⇒ ValueTransformer[V, VR], stateStoreNames: String*): KStreamS[K, VR]

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  45. final def wait(): Unit

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

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

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