akka.stream.javadsl

Source

class Source[+Out, +Mat] extends Graph[SourceShape[Out], Mat]

Java API

A Source is a set of stream processing steps that has one open output and an attached input. Can be used as a Publisher

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Source.scala
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Instance Constructors

  1. new Source(delegate: scaladsl.Source[Out, Mat])

Type Members

  1. type Shape = SourceShape[Out]

    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. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. def +(other: String): String

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to StringAdd performed by method any2stringadd in scala.Predef.
    Definition Classes
    StringAdd
  5. def ->[B](y: B): (Source[Out, Mat], B)

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to ArrowAssoc[Source[Out, Mat]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  7. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. def asScala: scaladsl.Source[Out, Mat]

    Converts this Java DSL element to its Scala DSL counterpart.

  10. def buffer(size: Int, overflowStrategy: OverflowStrategy): Source[Out, Mat]

    Adds a fixed size buffer in the flow that allows to store elements from a faster upstream until it becomes full.

    Adds a fixed size buffer in the flow that allows to store elements from a faster upstream until it becomes full. Depending on the defined akka.stream.OverflowStrategy it might drop elements or backpressure the upstream if there is no space available

    size

    The size of the buffer in element count

    overflowStrategy

    Strategy that is used when incoming elements cannot fit inside the buffer

  11. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. def collect[T](pf: PartialFunction[Out, T]): Source[T, Mat]

    Transform this stream by applying the given partial function to each of the elements on which the function is defined as they pass through this processing step.

    Transform this stream by applying the given partial function to each of the elements on which the function is defined as they pass through this processing step. Non-matching elements are filtered out.

  13. def concat[Out2 >: Out, M2](second: Graph[SourceShape[Out2], M2]): Source[Out2, (Mat, M2)]

    Concatenates a second source so that the first element emitted by that source is emitted after the last element of this source.

  14. def concatMat[M, M2](second: Graph[SourceShape[Out], M], combine: Function2[Mat, M, M2]): Source[Out, M2]

    Concatenates a second source so that the first element emitted by that source is emitted after the last element of this source.

  15. def conflate[S](seed: Function[Out, S], aggregate: Function2[S, Out, S]): Source[S, Mat]

    Allows a faster upstream to progress independently of a slower subscriber by conflating elements into a summary until the subscriber is ready to accept them.

    Allows a faster upstream to progress independently of a slower subscriber by conflating elements into a summary until the subscriber is ready to accept them. For example a conflate step might average incoming numbers if the upstream publisher is faster.

    This element only rolls up elements if the upstream is faster, but if the downstream is faster it will not duplicate elements.

    seed

    Provides the first state for a conflated value using the first unconsumed element as a start

    aggregate

    Takes the currently aggregated value and the current pending element to produce a new aggregate

  16. def drop(n: Long): Source[Out, Mat]

    Discard the given number of elements at the beginning of the stream.

    Discard the given number of elements at the beginning of the stream. No elements will be dropped if n is zero or negative.

  17. def dropWhile(p: Predicate[Out]): Source[Out, Mat]

    Discard elements at the beginning of the stream while predicate is true.

    Discard elements at the beginning of the stream while predicate is true. No elements will be dropped after predicate first time returned false.

    p

    predicate is evaluated for each new element until first time returns false

  18. def dropWithin(d: FiniteDuration): Source[Out, Mat]

    Discard the elements received within the given duration at beginning of the stream.

  19. def ensuring(cond: (Source[Out, Mat]) ⇒ Boolean, msg: ⇒ Any): Source[Out, Mat]

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to Ensuring[Source[Out, Mat]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  20. def ensuring(cond: (Source[Out, Mat]) ⇒ Boolean): Source[Out, Mat]

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to Ensuring[Source[Out, Mat]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  21. def ensuring(cond: Boolean, msg: ⇒ Any): Source[Out, Mat]

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to Ensuring[Source[Out, Mat]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  22. def ensuring(cond: Boolean): Source[Out, Mat]

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to Ensuring[Source[Out, Mat]] performed by method any2Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  23. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  24. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  25. def expand[S, U](seed: Function[Out, S], extrapolate: Function[S, Pair[U, S]]): Source[U, Mat]

    Allows a faster downstream to progress independently of a slower publisher by extrapolating elements from an older element until new element comes from the upstream.

    Allows a faster downstream to progress independently of a slower publisher by extrapolating elements from an older element until new element comes from the upstream. For example an expand step might repeat the last element for the subscriber until it receives an update from upstream.

    This element will never "drop" upstream elements as all elements go through at least one extrapolation step. This means that if the upstream is actually faster than the upstream it will be backpressured by the downstream subscriber.

    seed

    Provides the first state for extrapolation using the first unconsumed element

    extrapolate

    Takes the current extrapolation state to produce an output element and the next extrapolation state.

  26. def filter(p: Predicate[Out]): Source[Out, Mat]

    Only pass on those elements that satisfy the given predicate.

  27. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  28. def flatten[U](strategy: FlattenStrategy[Out, U]): Source[U, Mat]

    Transforms a stream of streams into a contiguous stream of elements using the provided flattening strategy.

    Transforms a stream of streams into a contiguous stream of elements using the provided flattening strategy. This operation can be used on a stream of element type Source.

  29. def fold[T](zero: T)(f: Function2[T, Out, T]): Source[T, Mat]

    Similar to scan but only emits the current value once, when completing.

    Similar to scan but only emits the current value once, when completing. Its current value which starts at zero and then applies the current and next value to the given function f, yielding the next current value.

  30. def formatted(fmtstr: String): String

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to StringFormat performed by method any2stringfmt in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  31. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  32. def groupBy[K](f: Function[Out, K]): Source[Pair[K, Source[Out, Unit]], Mat]

    This operation demultiplexes the incoming stream into separate output streams, one for each element key.

    This operation demultiplexes the incoming stream into separate output streams, one for each element key. The key is computed for each element using the given function. When a new key is encountered for the first time it is emitted to the downstream subscriber together with a fresh flow that will eventually produce all the elements of the substream for that key. Not consuming the elements from the created streams will stop this processor from processing more elements, therefore you must take care to unblock (or cancel) all of the produced streams even if you want to consume only one of them.

  33. def grouped(n: Int): Source[List[Out], Mat]

    Chunk up this stream into groups of the given size, with the last group possibly smaller than requested due to end-of-stream.

    Chunk up this stream into groups of the given size, with the last group possibly smaller than requested due to end-of-stream.

    n

    must be positive, otherwise IllegalArgumentException is thrown.

  34. def groupedWithin(n: Int, d: FiniteDuration): Source[List[Out], Mat]

    Chunk up this stream into groups of elements received within a time window, or limited by the given number of elements, whatever happens first.

    Chunk up this stream into groups of elements received within a time window, or limited by the given number of elements, whatever happens first. Empty groups will not be emitted if no elements are received from upstream. The last group before end-of-stream will contain the buffered elements since the previously emitted group.

    n

    must be positive, and d must be greater than 0 seconds, otherwise IllegalArgumentException is thrown.

  35. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  36. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  37. def log(name: String): Source[Out, Mat]

    Logs elements flowing through the stream as well as completion and erroring.

    Logs elements flowing through the stream as well as completion and erroring.

    By default element and completion signals are logged on debug level, and errors are logged on Error level. This can be adjusted according to your needs by providing a custom Attributes.LogLevels atrribute on the given Flow:

    Uses an internally created LoggingAdapter which uses akka.stream.Log as it's source (use this class to configure slf4j loggers).

    Emits when the mapping function returns an element

    Backpressures when downstream backpressures

    Completes when upstream completes

    Cancels when downstream cancels

  38. def log(name: String, log: LoggingAdapter): Source[Out, Mat]

    Logs elements flowing through the stream as well as completion and erroring.

    Logs elements flowing through the stream as well as completion and erroring.

    By default element and completion signals are logged on debug level, and errors are logged on Error level. This can be adjusted according to your needs by providing a custom Attributes.LogLevels atrribute on the given Flow:

    Uses the given LoggingAdapter for logging.

    Emits when the mapping function returns an element

    Backpressures when downstream backpressures

    Completes when upstream completes

    Cancels when downstream cancels

  39. def log(name: String, extract: Function[Out, Any]): Source[Out, Mat]

    Logs elements flowing through the stream as well as completion and erroring.

    Logs elements flowing through the stream as well as completion and erroring.

    By default element and completion signals are logged on debug level, and errors are logged on Error level. This can be adjusted according to your needs by providing a custom Attributes.LogLevels atrribute on the given Flow:

    The extract function will be applied to each element before logging, so it is possible to log only those fields of a complex object flowing through this element.

    Uses an internally created LoggingAdapter which uses akka.stream.Log as it's source (use this class to configure slf4j loggers).

    Emits when the mapping function returns an element

    Backpressures when downstream backpressures

    Completes when upstream completes

    Cancels when downstream cancels

  40. def log(name: String, extract: Function[Out, Any], log: LoggingAdapter): Source[Out, Mat]

    Logs elements flowing through the stream as well as completion and erroring.

    Logs elements flowing through the stream as well as completion and erroring.

    By default element and completion signals are logged on debug level, and errors are logged on Error level. This can be adjusted according to your needs by providing a custom Attributes.LogLevels atrribute on the given Flow:

    The extract function will be applied to each element before logging, so it is possible to log only those fields of a complex object flowing through this element.

    Uses the given LoggingAdapter for logging.

    Emits when the mapping function returns an element

    Backpressures when downstream backpressures

    Completes when upstream completes

    Cancels when downstream cancels

  41. def map[T](f: Function[Out, T]): Source[T, Mat]

    Transform this stream by applying the given function to each of the elements as they pass through this processing step.

  42. def mapAsync[T](parallelism: Int, f: Function[Out, Future[T]]): Source[T, Mat]

    Transform this stream by applying the given function to each of the elements as they pass through this processing step.

    Transform this stream by applying the given function to each of the elements as they pass through this processing step. The function returns a Future and the value of that future will be emitted downstreams. As many futures as requested elements by downstream may run in parallel and may complete in any order, but the elements that are emitted downstream are in the same order as received from upstream.

    See also

    #mapAsyncUnordered

  43. def mapAsyncUnordered[T](parallelism: Int, f: Function[Out, Future[T]]): Source[T, Mat]

    Transform this stream by applying the given function to each of the elements as they pass through this processing step.

    Transform this stream by applying the given function to each of the elements as they pass through this processing step. The function returns a Future and the value of that future will be emitted downstreams. As many futures as requested elements by downstream may run in parallel and each processed element will be emitted dowstream as soon as it is ready, i.e. it is possible that the elements are not emitted downstream in the same order as received from upstream.

    See also

    #mapAsync

  44. def mapConcat[T](f: Function[Out, List[T]]): Source[T, Mat]

    Transform each input element into a sequence of output elements that is then flattened into the output stream.

    Transform each input element into a sequence of output elements that is then flattened into the output stream.

    The returned list MUST NOT contain null values, as they are illegal as stream elements - according to the Reactive Streams specification.

  45. def mapMaterializedValue[Mat2](f: Function[Mat, Mat2]): Source[Out, Mat2]

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

  46. def named(name: String): Source[Out, Mat]

    Definition Classes
    SourceGraph
  47. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  48. final def notify(): Unit

    Definition Classes
    AnyRef
  49. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  50. def prefixAndTail(n: Int): Source[Pair[List[Out], Source[Out, Unit]], Mat]

    Takes up to n elements from the stream (less than n only if the upstream completes before emitting n elements) and returns a pair containing a strict sequence of the taken element and a stream representing the remaining elements.

    Takes up to n elements from the stream (less than n only if the upstream completes before emitting n elements) and returns a pair containing a strict sequence of the taken element and a stream representing the remaining elements. If n is zero or negative, then this will return a pair of an empty collection and a stream containing the whole upstream unchanged.

    In case of an upstream error, depending on the current state

    • the master stream signals the error if less than n elements has been seen, and therefore the substream has not yet been emitted
    • the tail substream signals the error after the prefix and tail has been emitted by the main stream (at that point the main stream has already completed)
  51. def recover[T >: Out](pf: PartialFunction[Throwable, T]): Source[T, Mat]

    Recover allows to send last element on failure and gracefully complete the stream Since the underlying failure signal onError arrives out-of-band, it might jump over existing elements.

    Recover allows to send last element on failure and gracefully complete the stream Since the underlying failure signal onError arrives out-of-band, it might jump over existing elements. This stage can recover the failure signal, but not the skipped elements, which will be dropped.

  52. def runFold[U](zero: U, f: Function2[U, Out, U], materializer: Materializer): Future[U]

    Shortcut for running this Source with a fold function.

    Shortcut for running this Source with a fold function. The given function is invoked for every received element, giving it its previous output (or the given zero value) and the element as input. The returned scala.concurrent.Future will be completed with value of the final function evaluation when the input stream ends, or completed with Failure if there is a failure is signaled in the stream.

  53. def runForeach(f: Procedure[Out], materializer: Materializer): Future[Unit]

    Shortcut for running this Source with a foreach procedure.

    Shortcut for running this Source with a foreach procedure. The given procedure is invoked for each received element. The returned scala.concurrent.Future will be completed with Success when reaching the normal end of the stream, or completed with Failure if there is a failure is signaled in the stream.

  54. def runWith[M](sink: Graph[SinkShape[Out], M], materializer: Materializer): M

    Connect this Source to a Sink and run it.

    Connect this Source to a Sink and run it. The returned value is the materialized value of the Sink, e.g. the Publisher of a Sink.publisher.

  55. def scan[T](zero: T)(f: Function2[T, Out, T]): Source[T, Mat]

    Similar to fold but is not a terminal operation, emits its current value which starts at zero and then applies the current and next value to the given function f, yielding the next current value.

  56. def shape: SourceShape[Out]

    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
    SourceGraph
  57. def splitAfter[U >: Out](p: Predicate[Out]): Source[Source[Out, Unit], Mat]

    This operation applies the given predicate to all incoming elements and emits them to a stream of output streams.

    This operation applies the given predicate to all incoming elements and emits them to a stream of output streams. It *ends* the current substream when the predicate is true. This means that for the following series of predicate values, three substreams will be produced with lengths 2, 2, and 3:

    false, true,        // elements go into first substream
    false, true,        // elements go into second substream
    false, false, true  // elements go into third substream

    If the split predicate p throws an exception and the supervision decision is akka.stream.Supervision.Stop the stream and substreams will be completed with failure.

    If the split predicate p throws an exception and the supervision decision is akka.stream.Supervision.Resume or akka.stream.Supervision.Restart the element is dropped and the stream and substreams continue.

    Emits when an element passes through. When the provided predicate is true it emitts the element and opens a new substream for subsequent element

    Backpressures when there is an element pending for the next substream, but the previous is not fully consumed yet, or the substream backpressures

    Completes when upstream completes

    Cancels when downstream cancels and substreams cancel

    See also Source.splitWhen.

  58. def splitWhen(p: Predicate[Out]): Source[Source[Out, Unit], Mat]

    This operation applies the given predicate to all incoming elements and emits them to a stream of output streams, always beginning a new one with the current element if the given predicate returns true for it.

    This operation applies the given predicate to all incoming elements and emits them to a stream of output streams, always beginning a new one with the current element if the given predicate returns true for it. This means that for the following series of predicate values, three substreams will be produced with lengths 1, 2, and 3:

    false,             // element goes into first substream
    true, false,       // elements go into second substream
    true, false, false // elements go into third substream

    In case the *first* element of the stream matches the predicate, the first substream emitted by splitWhen will start from that element. For example:

    true, false, false // first substream starts from the split-by element
    true, false        // subsequent substreams operate the same way

    If the split predicate p throws an exception and the supervision decision is akka.stream.Supervision.Stop the stream and substreams will be completed with failure.

    If the split predicate p throws an exception and the supervision decision is akka.stream.Supervision.Resume or akka.stream.Supervision.Restart the element is dropped and the stream and substreams continue.

    Emits when an element for which the provided predicate is true, opening and emitting a new substream for subsequent element

    Backpressures when there is an element pending for the next substream, but the previous is not fully consumed yet, or the substream backpressures

    Completes when upstream completes

    Cancels when downstream cancels and substreams cancel

    See also Source.splitAfter.

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

    Definition Classes
    AnyRef
  60. def take(n: Long): Source[Out, Mat]

    Terminate processing (and cancel the upstream publisher) after the given number of elements.

    Terminate processing (and cancel the upstream publisher) after the given number of elements. Due to input buffering some elements may have been requested from upstream publishers that will then not be processed downstream of this step.

    n

    if n is zero or negative the stream will be completed without producing any elements.

  61. def takeWhile(p: Predicate[Out]): Source[Out, Mat]

    Terminate processing (and cancel the upstream publisher) after predicate returned false for the first time.

    Terminate processing (and cancel the upstream publisher) after predicate returned false for the first time. Due to input buffering some elements may have been requested from upstream publishers that will then not be processed downstream of this step.

    p

    predicate is evaluated for each new element until first time returns false

  62. def takeWithin(d: FiniteDuration): Source[Out, Mat]

    Terminate processing (and cancel the upstream publisher) after the given duration.

    Terminate processing (and cancel the upstream publisher) after the given duration. Due to input buffering some elements may have been requested from upstream publishers that will then not be processed downstream of this step.

    Note that this can be combined with #take to limit the number of elements within the duration.

  63. def to[M](sink: Graph[SinkShape[Out], M]): RunnableGraph[Mat]

    Connect this Source to a Sink, concatenating the processing steps of both.

  64. def toMat[M, M2](sink: Graph[SinkShape[Out], M], combine: Function2[Mat, M, M2]): RunnableGraph[M2]

    Connect this Source to a Sink, concatenating the processing steps of both.

  65. def toString(): String

    Definition Classes
    AnyRef → Any
  66. def transform[U](mkStage: Creator[Stage[Out, U]]): Source[U, Mat]

    Generic transformation of a stream with a custom processing akka.stream.stage.Stage.

    Generic transformation of a stream with a custom processing akka.stream.stage.Stage. This operator makes it possible to extend the Flow API when there is no specialized operator that performs the transformation.

  67. def via[T, M](flow: Graph[FlowShape[Out, T], M]): Source[T, Mat]

    Transform this Source by appending the given processing stages.

  68. def viaMat[T, M, M2](flow: Graph[FlowShape[Out, T], M], combine: Function2[Mat, M, M2]): Source[T, M2]

    Transform this Source by appending the given processing stages.

  69. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  70. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  71. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  72. def withAttributes(attr: Attributes): Source[Out, Mat]

    Definition Classes
    SourceGraph
  73. def [B](y: B): (Source[Out, Mat], B)

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to ArrowAssoc[Source[Out, Mat]] performed by method any2ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Shadowed Implicit Value Members

  1. val self: Any

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to StringAdd performed by method any2stringadd in scala.Predef.
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  2. val self: Any

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    This member is added by an implicit conversion from Source[Out, Mat] to StringFormat performed by method any2stringfmt in scala.Predef.
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Deprecated Value Members

  1. def x: Source[Out, Mat]

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to ArrowAssoc[Source[Out, Mat]] performed by method any2ArrowAssoc in scala.Predef.
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    (Since version 2.10.0) Use leftOfArrow instead

  2. def x: Source[Out, Mat]

    Implicit information
    This member is added by an implicit conversion from Source[Out, Mat] to Ensuring[Source[Out, Mat]] performed by method any2Ensuring in scala.Predef.
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    (Since version 2.10.0) Use resultOfEnsuring instead

Inherited from Graph[SourceShape[Out], Mat]

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion any2stringadd from Source[Out, Mat] to StringAdd

Inherited by implicit conversion any2stringfmt from Source[Out, Mat] to StringFormat

Inherited by implicit conversion any2ArrowAssoc from Source[Out, Mat] to ArrowAssoc[Source[Out, Mat]]

Inherited by implicit conversion any2Ensuring from Source[Out, Mat] to Ensuring[Source[Out, Mat]]

Ungrouped