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ReactiveLab

Experiments and prototypes with reactive application design using service-oriented architecture concepts.

Start server using EdgeServer.java or Gradle:

./gradlew startEdge

Simulation of middle-tier RPC/RESTful services exposing endpoints over HTTP.

Start several services on different ports using StartMiddleTierServices.java or Gradle:

./gradlew startServices

Server

See how Netty and RxJava are used as an HTTP server in EdgeServer

Basics are:

        RxNetty.createHttpServer(8080, (request, response) -> {
            System.out.println("Server => Request: " + request.getPath());
            ... handle requests here ...
        }).startAndWait();

Client

Clients using Netty and RxJava can be seen in the clients package.

Basic example:

        return RxNetty.createHttpClient("localhost", 9100)
                .submit(HttpClientRequest.createGet("/mock.json?id=" + id));

Hystrix

Here is a batch request using SSE inside a HystrixObservableCommand for fault-tolerance: BookmarksCommand.

A HystrixObservableCollapser can be put in front of that command to allow automated batching: BookmarkCommand.

Composition

Nested, parallel execution of network requests can be composed using RxJava and Hystrix as demonstrated in RouteForDeviceHome which is the example running at the /device/home endpoint.

Here is a portion of the code to show the composition:

        return new UserCommand(userId).observe().flatMap(user -> {
            Observable<Map<String, Object>> catalog = new PersonalizedCatalogCommand(user).observe()
                    .flatMap(catalogList -> {
                        return catalogList.videos().<Map<String, Object>> flatMap(video -> {
                            Observable<Bookmark> bookmark = new BookmarkCommand(video).observe();
                            Observable<Rating> rating = new RatingsCommand(video).observe();
                            Observable<VideoMetadata> metadata = new VideoMetadataCommand(video).observe();
                            return Observable.zip(bookmark, rating, metadata, (b, r, m) -> {
                                return combineVideoData(video, b, r, m);
                            });
                        });
                    });

            Observable<Map<String, Object>> social = new SocialCommand(user).observe().map(s -> {
                return s.getDataAsMap();
            });

            return Observable.merge(catalog, social);
        }).flatMap(data -> {
            return response.writeAndFlush(new ServerSentEvent("", "data", SimpleJson.mapToJson(data)), EdgeServer.SSE_TRANSFORMER);
        });

This results in 7 network calls being made, and multiple bookmark requests are automatically collapsed into 1 network call. Here is the HystrixRequestLog that results from the code above being executed:

Server => Hystrix Log [/device/home] => UserCommand[SUCCESS][191ms], PersonalizedCatalogCommand[SUCCESS][50ms], SocialCommand[SUCCESS][53ms], RatingsCommand[SUCCESS][65ms]x6, VideoMetadataCommand[SUCCESS][73ms]x6, BookmarksCommand[SUCCESS, COLLAPSED][25ms], BookmarksCommand[SUCCESS, COLLAPSED][24ms]

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  • Java 98.2%
  • Python 1.8%