final class FlowWithContext[In, CtxIn, Out, CtxOut, +Mat] extends GraphDelegate[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]

A flow that provides operations which automatically propagate the context of an element. Only a subset of common operations from Flow is supported. As an escape hatch you can use FlowWithContext.via to manually provide the context propagation for otherwise unsupported operations.

An "empty" flow can be created by calling FlowWithContext[Ctx, T].

Source
FlowWithContext.scala
Linear Supertypes
GraphDelegate[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat], Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat], AnyRef, Any
Type Hierarchy
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Inherited
  1. FlowWithContext
  2. GraphDelegate
  3. Graph
  4. AnyRef
  5. Any
Implicitly
  1. by GraphMapMatVal
  2. by any2stringadd
  3. by StringFormat
  4. by Ensuring
  5. by ArrowAssoc
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new FlowWithContext(delegate: Flow[Pair[In, CtxIn], Pair[Out, CtxOut], Mat])

Type Members

  1. type Shape = FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]]

    Type-level accessor for the shape parameter of this graph.

    Type-level accessor for the shape parameter of this graph.

    Definition Classes
    Graph

Value Members

  1. def addAttributes(attr: Attributes): Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]

    Add the given attributes to this Graph.

    Add the given attributes to this Graph. If the specific attribute was already present on this graph this means the added attribute will be more specific than the existing one. If this Source is a composite of multiple graphs, new attributes on the composite will be less specific than attributes set directly on the individual graphs of the composite.

    Definition Classes
    Graph
  2. def asFlow(): Flow[Pair[In, CtxIn], Pair[Out, CtxOut], Mat]

    Creates a regular flow of pairs (data, context).

  3. def asScala: scaladsl.FlowWithContext[In, CtxIn, Out, CtxOut, Mat]
  4. def async(dispatcher: String, inputBufferSize: Int): Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]

    Put an asynchronous boundary around this Graph

    Put an asynchronous boundary around this Graph

    dispatcher

    Run the graph on this dispatcher

    inputBufferSize

    Set the input buffer to this size for the graph

    Definition Classes
    Graph
  5. def async(dispatcher: String): Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]

    Put an asynchronous boundary around this Graph

    Put an asynchronous boundary around this Graph

    dispatcher

    Run the graph on this dispatcher

    Definition Classes
    Graph
  6. def async: Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]

    Put an asynchronous boundary around this Graph

    Put an asynchronous boundary around this Graph

    Definition Classes
    Graph
  7. def collect[Out2](pf: PartialFunction[Out, Out2]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.collect.

    Context-preserving variant of pekko.stream.javadsl.Flow.collect.

    Note, that the context of elements that are filtered out is skipped as well.

    See also

    pekko.stream.javadsl.Flow.collect

  8. def filter(p: Predicate[Out]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.filter.

    Context-preserving variant of pekko.stream.javadsl.Flow.filter.

    Note, that the context of elements that are filtered out is skipped as well.

    See also

    pekko.stream.javadsl.Flow.filter

  9. def filterNot(p: Predicate[Out]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.filterNot.

    Context-preserving variant of pekko.stream.javadsl.Flow.filterNot.

    Note, that the context of elements that are filtered out is skipped as well.

    See also

    pekko.stream.javadsl.Flow.filterNot

  10. def getAttributes: Attributes
    Definition Classes
    Graph
  11. def grouped(n: Int): FlowWithContext[In, CtxIn, List[Out], List[CtxOut], Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.grouped.

    Context-preserving variant of pekko.stream.javadsl.Flow.grouped.

    Each output group will be associated with a Seq of corresponding context elements.

    See also

    pekko.stream.javadsl.Flow.grouped

  12. def log(name: String): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    See also

    pekko.stream.javadsl.Flow.log

  13. def log(name: String, log: LoggingAdapter): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    See also

    pekko.stream.javadsl.Flow.log

  14. def log(name: String, extract: Function[Out, Any]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    See also

    pekko.stream.javadsl.Flow.log

  15. def log(name: String, extract: Function[Out, Any], log: LoggingAdapter): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    Context-preserving variant of pekko.stream.javadsl.Flow.log.

    See also

    pekko.stream.javadsl.Flow.log

  16. def logWithMarker(name: String, marker: Function2[Out, CtxOut, LogMarker]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.logWithMarker.

  17. def logWithMarker(name: String, marker: Function2[Out, CtxOut, LogMarker], log: MarkerLoggingAdapter): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.logWithMarker.

  18. def logWithMarker(name: String, marker: Function2[Out, CtxOut, LogMarker], extract: Function[Out, Any]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.logWithMarker.

  19. def logWithMarker(name: String, marker: Function2[Out, CtxOut, LogMarker], extract: Function[Out, Any], log: MarkerLoggingAdapter): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.logWithMarker.

  20. def map[Out2](f: Function[Out, Out2]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.map.

    Context-preserving variant of pekko.stream.javadsl.Flow.map.

    See also

    pekko.stream.javadsl.Flow.map

  21. def mapAsync[Out2](parallelism: Int, f: Function[Out, CompletionStage[Out2]]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.mapAsync.

  22. def mapAsyncPartitioned[Out2, P](parallelism: Int, partitioner: Function[Out, P], f: Function2[Out, P, CompletionStage[Out2]]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.mapAsyncPartitioned.

  23. def mapAsyncPartitionedUnordered[Out2, P](parallelism: Int, partitioner: Function[Out, P], f: Function2[Out, P, CompletionStage[Out2]]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.mapAsyncPartitionedUnordered.

  24. def mapConcat[Out2](f: Function[Out, _ <: Iterable[Out2]]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.mapConcat.

    Context-preserving variant of pekko.stream.javadsl.Flow.mapConcat.

    The context of the input element will be associated with each of the output elements calculated from this input element.

    Example:

    def dup(element: String) = Seq(element, element)

    Input:

    ("a", 1) ("b", 2)

    inputElements.mapConcat(dup)

    Output:

    ("a", 1) ("a", 1) ("b", 2) ("b", 2)

    See also

    pekko.stream.javadsl.Flow.mapConcat

  25. def mapContext[CtxOut2](extractContext: Function[CtxOut, CtxOut2]): FlowWithContext[In, CtxIn, Out, CtxOut2, Mat]

    Apply the given function to each context element (leaving the data elements unchanged).

  26. def mapError(pf: PartialFunction[Throwable, Throwable]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.mapError.

  27. def mapMaterializedValue[Mat2](f: Function[Mat, Mat2]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat2]

    Context-preserving variant of pekko.stream.javadsl.Flow.mapMaterializedValue.

  28. def named(name: String): Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]

    Specifies the name of the Graph.

    Specifies the name of the Graph. If the name is null or empty the name is ignored, i.e. Attributes.none is returned.

    Definition Classes
    Graph
  29. final def shape: FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]]

    The shape of a graph is all that is externally visible: its inlets and outlets.

    The shape of a graph is all that is externally visible: its inlets and outlets.

    Definition Classes
    GraphDelegate → Graph
  30. def sliding(n: Int, step: Int = 1): FlowWithContext[In, CtxIn, List[Out], List[CtxOut], Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.sliding.

    Context-preserving variant of pekko.stream.javadsl.Flow.sliding.

    Each output group will be associated with a Seq of corresponding context elements.

    See also

    pekko.stream.javadsl.Flow.sliding

  31. def throttle(cost: Int, per: Duration, maximumBurst: Int, costCalculation: Function[Out, Integer], mode: ThrottleMode): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.throttle.

  32. def throttle(cost: Int, per: Duration, costCalculation: Function[Out, Integer]): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.throttle.

  33. def throttle(elements: Int, per: Duration, maximumBurst: Int, mode: ThrottleMode): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.throttle.

  34. def throttle(elements: Int, per: Duration): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.throttle.

  35. def unsafeDataVia[Out2, Mat2](viaFlow: Graph[FlowShape[Out, Out2], Mat2]): FlowWithContext[In, CtxIn, Out2, CtxOut, Mat]

    Transform this flow by the regular flow.

    Transform this flow by the regular flow. The given flow works on the data portion of the stream and ignores the context.

    The given flow *must* not re-order, drop or emit multiple elements for one incoming element, the sequence of incoming contexts is re-combined with the outgoing elements of the stream. If a flow not fulfilling this requirement is used the stream will not fail but continue running in a corrupt state and re-combine incorrect pairs of elements and contexts or deadlock.

    For more background on these requirements see https://pekko.apache.org/docs/pekko/current/stream/stream-context.html.

    Annotations
    @ApiMayChange()
  36. def via[Out2, CtxOut2, Mat2](viaFlow: Graph[FlowShape[Pair[Out, CtxOut], Pair[Out2, CtxOut2]], Mat2]): FlowWithContext[In, CtxIn, Out2, CtxOut2, Mat]

    Transform this flow by the regular flow.

    Transform this flow by the regular flow. The given flow must support manual context propagation by taking and producing tuples of (data, context).

    It is up to the implementer to ensure the inner flow does not exhibit any behavior that is not expected by the downstream elements, such as reordering. For more background on these requirements see https://pekko.apache.org/docs/pekko/current/stream/stream-context.html.

    This can be used as an escape hatch for operations that are not (yet) provided with automatic context propagation here.

    See also

    pekko.stream.javadsl.Flow.via

  37. def withAttributes(attr: Attributes): FlowWithContext[In, CtxIn, Out, CtxOut, Mat]

    Context-preserving variant of pekko.stream.javadsl.Flow.withAttributes.

Shadowed Implicit Value Members

  1. def mapMaterializedValue[M2](f: (Mat) => M2): Graph[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], M2]

    Transform the materialized value of this Graph, leaving all other properties as they were.

    Transform the materialized value of this Graph, leaving all other properties as they were.

    f

    function to map the graph's materialized value

    Implicit
    This member is added by an implicit conversion from FlowWithContext[In, CtxIn, Out, CtxOut, Mat] toGraphMapMatVal[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat] performed by method GraphMapMatVal in org.apache.pekko.stream.Graph.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (flowWithContext: GraphMapMatVal[FlowShape[Pair[In, CtxIn], Pair[Out, CtxOut]], Mat]).mapMaterializedValue(f)
    Definition Classes
    GraphMapMatVal