Reactor Core

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Non-Blocking Reactive Streams Foundation for the JVM both implementing a Reactive Extensions inspired API and efficient event streaming support.

The master branch is now dedicated to development of the 3.3.x line.

Getting it

Reactor 3 requires Java 8 or + to run.

With Gradle from or Maven Central repositories (stable releases only):

    repositories {
//      maven { url '' }
      maven { url '' }

    dependencies {
      //compile "io.projectreactor:reactor-core:3.4.0-SNAPSHOT"
      //TODO change to the release artifact and comment snapshot repo above when GA
      compile "io.projectreactor:reactor-core:3.4.0-M1"

See the reference documentation for more information on getting it (eg. using Maven, or on how to get milestones and snapshots).

Note about Android support: Reactor 3 doesn't officially support nor target Android. However it should work fine with Android SDK 21 (Android 5.0) and above. See the complete note in the reference guide.

Trouble importing the project in IDE?

Since the introduction of Java 9 stubs in order to optimize the performance of debug backtraces, one can sometimes encounter cryptic messages from the build system when importing or re-importing the project in their IDE.

For example:

When encountering these issues, one need to ensure that:

Then rebuild the project and the errors should disappear.

Getting Started

New to Reactive Programming or bored of reading already ? Try the Introduction to Reactor Core hands-on !

If you are familiar with RxJava or if you want to check more detailed introduction, be sure to check !


A Reactive Streams Publisher with basic flow operators.

Flux in action :

    .map(d -> d * 2)


A Reactive Streams Publisher constrained to ZERO or ONE element with appropriate operators.

Mono in action :

    .flatMap(time -> Mono.first(serviceA.findRecent(time), serviceB.findRecent(time)))
    .timeout(Duration.ofSeconds(3), errorHandler::fallback)
    .doOnSuccess(r -> serviceM.incrementSuccess())

Blocking Mono result :

Tuple2<Long, Long> nowAndLater =
                Flux.just(1).delay(1).map(i -> System.currentTimeMillis()))


Reactor uses a Scheduler as a contract for arbitrary task execution. It provides some guarantees required by Reactive Streams flows like FIFO execution.

You can use or create efficient schedulers to jump thread on the producing flows (subscribeOn) or receiving flows (publishOn):

Mono.fromCallable( () -> System.currentTimeMillis() )
    .flatMap(time ->
        Mono.fromCallable(() -> { Thread.sleep(1000); return time; })
    , 8) //maxConcurrency 8


ParallelFlux can starve your CPU's from any sequence whose work can be subdivided in concurrent tasks. Turn back into a Flux with ParallelFlux#sequential(), an unordered join or use arbitrary merge strategies via 'groups()'.

Mono.fromCallable( () -> System.currentTimeMillis() )
    .parallel(8) //parallelism
    .doOnNext( d -> System.out.println("I'm on thread "+Thread.currentThread()) )

Custom sources : Flux.create and FluxSink, Mono.create and MonoSink

To bridge a Subscriber or Processor into an outside context that is taking care of producing non concurrently, use Flux#create, Mono#create.

Flux.create(sink -> {
         ActionListener al = e -> {

         // without cancellation support:

         // with cancellation support:
         sink.onCancel(() -> {
    // Overflow (backpressure) handling, default is BUFFER
    .doOnComplete(() -> System.out.println("completed!"))

The Backpressure Thing

Most of this cool stuff uses bounded ring buffer implementation under the hood to mitigate signal processing difference between producers and consumers. Now, the operators and processors or any standard reactive stream component working on the sequence will be instructed to flow in when these buffers have free room AND only then. This means that we make sure we both have a deterministic capacity model (bounded buffer) and we never block (request more data on write capacity). Yup, it's not rocket science after all, the boring part is already being worked by us in collaboration with Reactive Streams Commons on going research effort.

What's more in it ?

"Operator Fusion" (flow optimizers), health state observers, helpers to build custom reactive components, bounded queue generator, converters from/to Java 9 Flow, Publisher and Java 8 CompletableFuture. The repository contains a reactor-test project with test features like the StepVerifier.

Reference Guide


Getting started with Flux and Mono

Reactor By Example

Head-First Spring & Reactor

Beyond Reactor Core

Powered by Reactive Streams Commons

Licensed under Apache Software License 2.0

Sponsored by Pivotal