左侧是传统的基于Servlet的Spring Web MVC框架,右侧是5.0版本新引入的基于Reactive Streams的Spring WebFlux框架,从上到下依次是Router Functions,WebFlux,Reactive Streams三个新组件。
在Web容器的选择上,Spring WebFlux既支持像Tomcat,Jetty这样的的传统容器(前提是支持Servlet 3.1 Non-Blocking IO API),又支持像Netty,Undertow那样的异步容器。不管是何种容器,Spring WebFlux都会将其输入输出流适配成Flux
格式,以便进行统一处理。
值得一提的是,除了新的Router Functions接口,Spring WebFlux同时支持使用老的Spring MVC注解声明Reactive Controller。和传统的MVC Controller不同,Reactive Controller操作的是非阻塞的ServerHttpRequest
和ServerHttpResponse
,而不再是Spring MVC里的HttpServletRequest
和HttpServletResponse
。
@GetMapping("/reactive/restaurants")
public Flux findAll() {
return restaurantRepository.findAll();
}
可以看到主要变化就是在 返回的类型上Flux
Flux和Mono 是 Reactor 中的流数据类型,其中Flux会发送多次,Mono会发送0次或一次
使用webflux需要具备的基础是Reactive programming 的理解。
Reactor 的基础 和 熟练的java8 lambda使用
下面通过创建股票报价的demo来演示。
通过 https://start.spring.io 或idea自带功能创建springboot项目,groupId为io.spring.workshop,artifactId为 stock-quotes。
勾选 ReactiveWeb
修改 application.properties 配置文件,指定接口 8081
server.port=8081
启动应用,成功后控制台输出日志
日志显示使用Netty而不是tomcat,后续会使用Tomcat
定义实体
@Data
public class Quote {
private static final MathContext MATH_CONTEXT = new MathContext(2);
private String ticker;
private BigDecimal price;
private Instant instant;
public Quote() {
}
public Quote(String ticker, BigDecimal price) {
this.ticker = ticker;
this.price = price;
}
public Quote(String ticker, Double price) {
this(ticker, new BigDecimal(price, MATH_CONTEXT));
}
@Override
public String toString() {
return "Quote{" +
"ticker='" + ticker + '\'' +
", price=" + price +
", instant=" + instant +
'}';
}
}
定义生成器
@Component
public class QuoteGenerator {
private final MathContext mathContext = new MathContext(2);
private final Random random = new Random();
private final List prices = new ArrayList<>();
/**
* 生成行情数据
*/
public QuoteGenerator() {
this.prices.add(new Quote("CTXS", 82.26));
this.prices.add(new Quote("DELL", 63.74));
this.prices.add(new Quote("GOOG", 847.24));
this.prices.add(new Quote("MSFT", 65.11));
this.prices.add(new Quote("ORCL", 45.71));
this.prices.add(new Quote("RHT", 84.29));
this.prices.add(new Quote("VMW", 92.21));
}
public Flux fetchQuoteStream(Duration period) {
// 需要周期生成值并返回,使用 Flux.interval
return Flux.interval(period)
// In case of back-pressure, drop events
.onBackpressureDrop()
// For each tick, generate a list of quotes
.map(this::generateQuotes)
// "flatten" that List into a Flux
.flatMapIterable(quotes -> quotes)
.log("io.spring.workshop.stockquotes");
}
/**
* Create quotes for all tickers at a single instant.
*/
private List generateQuotes(long interval) {
final Instant instant = Instant.now();
return prices.stream()
.map(baseQuote -> {
BigDecimal priceChange = baseQuote.getPrice()
.multiply(new BigDecimal(0.05 * this.random.nextDouble()), this.mathContext);
Quote result = new Quote(baseQuote.getTicker(), baseQuote.getPrice().add(priceChange));
result.setInstant(instant);
return result;
})
.collect(Collectors.toList());
}
}
webflux的使用有两种方式,基于注解和函数式编程。这里使用函数式编程,先贴代码:
创建QuoteHandler
@Component
public class QuoteHandler {
private final Flux quoteStream;
public QuoteHandler(QuoteGenerator quoteGenerator) {
this.quoteStream = quoteGenerator.fetchQuoteStream(ofMillis(1000)).share();
}
public Mono hello(ServerRequest request) {
return ok().contentType(TEXT_PLAIN)
.body(BodyInserters.fromObject("Hello Spring!"));
}
public Mono echo(ServerRequest request) {
return ok().contentType(TEXT_PLAIN)
.body(request.bodyToMono(String.class), String.class);
}
public Mono streamQuotes(ServerRequest request) {
return ok()
.contentType(APPLICATION_STREAM_JSON)
.body(this.quoteStream, Quote.class);
}
public Mono fetchQuotes(ServerRequest request) {
int size = Integer.parseInt(request.queryParam("size").orElse("10"));
return ok()
.contentType(APPLICATION_JSON)
.body(this.quoteStream.take(size), Quote.class);
}
}
创建Router
@Configuration
public class QuoteRouter {
@Bean
public RouterFunction route(QuoteHandler quoteHandler) {
return RouterFunctions
.route(GET("/hello").and(accept(TEXT_PLAIN)), quoteHandler::hello)
.andRoute(POST("/echo").and(accept(TEXT_PLAIN).and(contentType(TEXT_PLAIN))), quoteHandler::echo)
.andRoute(GET("/quotes").and(accept(APPLICATION_JSON)), quoteHandler::fetchQuotes)
.andRoute(GET("/quotes").and(accept(APPLICATION_STREAM_JSON)), quoteHandler::streamQuotes);
}
}
需要注意的是在springboot中Handler和Router都需要打上@Configuration。
HTTP请求交由Router转发给对应的Handler,Handler处理请求,并返回Mono
运行项目,浏览器输入 http://localhost:8081/hello 或者 使用curl,即可收到 "Hello Spring!"的文本信息。
到目前为止,一个简单的webflux示例已经完成,但是还没有体现出它与传统模式有何不同。
下面我们来做一下测试:
$ curl http://localhost:8081/echo -i -d "WebFlux workshop" -H "Content-Type: text/plain"
HTTP/1.1 200 OK
transfer-encoding: chunked
Content-Type: text/plain
WebFlux workshop
还是没有区别T.T,看下一步。
$ curl http://localhost:8081/quotes -i -H "Accept: application/stream+json" HTTP/1.1 200 OK transfer-encoding: chunked Content-Type: application/stream+json {"ticker":"CTXS","price":82.77,"instant":"2018-05-15T06:45:51.261Z"} {"ticker":"DELL","price":64.83,"instant":"2018-05-15T06:45:51.261Z"} {"ticker":"GOOG","price":881,"instant":"2018-05-15T06:45:51.261Z"} {"ticker":"MSFT","price":67.3,"instant":"2018-05-15T06:45:51.261Z"} {"ticker":"ORCL","price":48.1,"instant":"2018-05-15T06:45:51.261Z"} {"ticker":"RHT","price":85.1,"instant":"2018-05-15T06:45:51.261Z"} {"ticker":"VMW","price":92.24,"instant":"2018-05-15T06:45:51.261Z"}
-------------------------------无敌分割线------------------------------------- {"ticker":"CTXS","price":85.7,"instant":"2018-05-15T06:45:52.260Z"} {"ticker":"DELL","price":64.12,"instant":"2018-05-15T06:45:52.260Z"} {"ticker":"GOOG","price":879,"instant":"2018-05-15T06:45:52.260Z"} {"ticker":"MSFT","price":67.9,"instant":"2018-05-15T06:45:52.260Z"} {"ticker":"ORCL","price":46.43,"instant":"2018-05-15T06:45:52.260Z"} {"ticker":"RHT","price":86.8,"instant":"2018-05-15T06:45:52.260Z"}
...
上面的分割线是为了易于分辨人为加上去的,我们看到返回结果每隔一秒刷新一次,不终止的话会一直返回数据,传统的Request/Response是一次请求,一次返回。
注意是设置了Header Accept: application/stream+json ,
如果将Header设置为 Accept: application/json ,只会得到一次Response。
springboot的test模块包含WebTestClient,可以用来对webflux服务端进行测试。
@RunWith(SpringRunner.class)
// We create a `@SpringBootTest`, starting an actual server on a `RANDOM_PORT`
@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT)
public class StockQuotesApplicationTests {
// Spring Boot will create a `WebTestClient` for you,
// already configure and ready to issue requests against "localhost:RANDOM_PORT"
@Autowired
private WebTestClient webTestClient;
@Test
public void fetchQuotes() {
webTestClient
// We then create a GET request to test an endpoint
.get().uri("/quotes?size=20")
.accept(MediaType.APPLICATION_JSON)
.exchange()
// and use the dedicated DSL to test assertions against the response
.expectStatus().isOk()
.expectHeader().contentType(MediaType.APPLICATION_JSON)
.expectBodyList(Quote.class)
.hasSize(20)
// Here we check that all Quotes have a positive price value
.consumeWith(allQuotes ->
assertThat(allQuotes.getResponseBody())
.allSatisfy(quote -> assertThat(quote.getPrice()).isPositive()));
}
@Test
public void fetchQuotesAsStream() {
List result = webTestClient
// We then create a GET request to test an endpoint
.get().uri("/quotes")
// this time, accepting "application/stream+json"
.accept(MediaType.APPLICATION_STREAM_JSON)
.exchange()
// and use the dedicated DSL to test assertions against the response
.expectStatus().isOk()
.expectHeader().contentType(MediaType.APPLICATION_STREAM_JSON)
.returnResult(Quote.class)
.getResponseBody()
.take(30)
.collectList()
.block();
assertThat(result).allSatisfy(quote -> assertThat(quote.getPrice()).isPositive());
}
}
后续期待更多精彩(二)
参考文章:
https://docs.spring.io/spring-framework/docs/5.0.3.RELEASE/spring-framework-reference/web.html#web-reactive-server-functional
http://projectreactor.io/docs
https://www.ibm.com/developerworks/cn/java/spring5-webflux-reactive/index.html
https://blog.csdn.net/qq_34438958/article/details/78539234