Reactive Microservice And Spring5
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This document discusses reactive microservices and Spring 5. It introduces reactive streams as a standard for asynchronous stream processing with back pressure. It describes Project Reactor as a reactive streams library for the JVM that is compatible with RxJava. Spring 5 supports reactive repositories, controllers, and web frameworks that integrate with reactive data sources, HTTP servers, and can convert between Mono, Flux, Observable, and CompletableFuture types. Spring 5 GA release was on July 27, 2017 and added reactive support across many Spring projects.
Reactive Microservice And Spring5
- 1. Reactive Microservices And Spring 5 Jay Lee([email protected]) Senior Platform Architect
- 2. Jay Lee(이창재) Senior Platform Architect
- 4. Reactive Programming in One Picture
- 5. Reactive Programming is paradigm oriented around data flows and propagation of change
- 7. Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure. This encompasses efforts aimed at runtime environments (JVM and JavaScript) as well as network protocols. - http://www.reactive-streams.org/
- 10. Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure. This encompasses efforts aimed at runtime environments (JVM and JavaScript) as well as network protocols. - http://www.reactive-streams.org/
- 12. Publisher Subscriber Stream Processing 3msg/sec 1msg/sec
- 13. Publisher Subscriber Stream Processing 3msg/sec 1msg/sec
- 14. Publisher Subscriber Stream Processing 3msg/sec 1msg/sec
- 15. Publisher Subscriber Stream Processing 3msg/sec 1msg/sec
- 16. Publisher Subscriber Stream Processing With Back Pressure 3msg/sec 1msg/sec Hey, I can only take 1msg/sec
- 17. Publisher Subscriber Stream Processing With Back Pressure 1msg/sec 1msg/sec Hey, I can only take 1msg/sec Gotcha!!
- 18. Back Pressure in real world
- 19. Back Pressure in real world
- 21. Reactive Stream Implementation Ÿ RxJavaReactiveStreams with RxJava 1.x 2.x Ÿ Project Reactor Ÿ Vert.x Ÿ Akka Streams Ÿ Slick Ÿ …
- 22. Project Reactor
- 23. Journey of Project Reactor
- 24. 2
- 25. 2
- 26. 2
- 27. Project Reactor
- 28. Project Reactor Ÿ Reactive Streams Library for JVM Ÿ Declarative operations similar to Java 8 Streams Ÿ Flux and Mono reactive composable API types Ÿ Compatible with RxJava,
- 30. Reactive Streams: Mono – sequence of 0..1Mono
- 31. Mono<String> emptyMono() { return Mono.empty(); } Mono<String> fooMono() { return Mono.just("foo"); } Mono<String> toUpperCase(Mono<String> mono) { return mono.map(String::toUpperCase); } Mono BasicMono Basic
- 32. Reactive Streams: Flux – sequence of 0..NFlux
- 33. Flux Basic Flux<String> emptyFlux() { return Flux.empty();} Flux<String> fooBarFluxFromValues() { return Flux.just("foo", "bar");} Flux<String> fooBarFluxFromList() { return Flux.fromIterable(Arrays.asList("foo", "bar")); } Flux<String> toUpperCase(Flux<String> flux) { return flux.flatMap(s -> Mono.just(s.toUpperCase())); } Flux Basic
- 34. Spring 5
- 35. Spring 5 - Reactive Repository public interface ReactivePersonRepository extends ReactiveCrudRepository<Person, String> { Flux<Person> findByLastname(Mono<String> lastname); Mono<Person> findByFirstnameAndLastname(String firstname, String lastname); } @EnableReactiveMongoRepositories public class AppConfig extends AbstractReactiveMongoConfiguration { } (Repository)
- 36. Ÿ MongoDB Ÿ Cassandra Ÿ Redis Ÿ Couchbase Spring 5 – Spring Data Compatible
- 37. Ÿ Oracle, MySQL Ÿ A database access API for Java that does not block user threads Ÿ Target high throughput apps From: JDBC Next by Douglas Surber (JavaOne 2016) NonBlocking JDBC Access to Oracle,Mysql
- 38. public void trivialSelect(DataSource ds, List<Integer> result) { String sql = "select <<id>>, <<name>>, <<answer>> " + "from tab where answer = <<i target>>"; try (Connection conn = ds.getConnection()) { conn.<List<Integer>>rowOperation(sql) .set("target", 42, JdbcType.NUMERIC) .rowAggregator( (ignore, row) -> { result.add(row.get("id", Integer.class)); return null; } ) .submit(); }} NonBlocking JDBC Example
- 39. Spring 5 - Reactive Web Controller @Controller Public class UserController { private final UserRepository userRepository; public UserController(UserRepository userRepository) { this.userRepository = userRepository; } @GetMapping(“/users/{id}”) public Mono<User> getUser(@PathVariable Long id) { return this.userRepository.findOne(id);} @PostMapping(“/users”) public Mono<Void> addUser(@RequestBody User user) { return this.userRepository.save(user);} } (Controller) - (Repository)
- 40. Spring 5 - Reactive Web Framework public interface ReactiveHttpInputMessage extends HttpMessage { Flux<DataBuffer> getBody(); } public interface ReactiveHttpOutputMessage extends HttpMessage { Mono<Void> writeWith(Publisher<DataBuffer> body); } (Framework) - (Controller) - (Repository)
- 41. Spring 5 – Reactive HTTP Server Ÿ Servlet 3.1 Bridge Ÿ Undertow in spring-web Ÿ Reactor Netty Ÿ RxNetty Ÿ Reactive Stream Bridge to Tomcat and Jetty (HTTP Server) - (Framework) - (Controller) - (Repository)
- 42. Observable<User> fromFluxToObservable(Flux<User> flux) { return Observable.fromPublisher(flux); } Flux<User> fromObservableToFlux(Observable<User> observable) { return Flux.from(observable.toFlowable(BackpressureStrategy.BUFFER)); } RxJava Observable and Reactor
- 43. CompletableFuture<User> fromMonoToCompletableFuture(Mono<User> mono) { return mono.toFuture(); } Mono<User> fromCompletableFutureToMono(CompletableFuture<User> future) { return Mono.fromFuture(future); } Mono and CompletableFuture
- 44. Summary • Spring 5.0 GA 곧 출시!!
- 45. Ÿ Reactive Streams Ÿ Microservices and Reactive Streams Ÿ Spring 5.0 GA – Jul 27, 2017 Ÿ Being adopted for Boot, Security, Data, Cloud, Integration, etc Summary