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鏂囨湰宸叉敹褰曡嚦鎴戠殑GitHub绮鹃�夋枃绔狅紝娆㈣繋Star锛�https://github.com/ZhongFuCheng3y/3y
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- 澶栬浜洪兘鑳界湅鎳傜殑WebFlux锛岄敊杩囦簡琛�浜�
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- 璇寸櫧浜嗗氨鏄疶omcat鐨勭嚎绋嬪鐞嗚姹傦紝鐒跺悗鎶婅繖涓姹傚垎鍙戝埌鑷淮鎶ょ殑绾跨▼澶勭悊锛孴omcat鐨勮姹傜嚎绋嬭繑鍥�
@WebServlet(value = "/nonBlockingThreadPoolAsync", asyncSupported = true)
public class NonBlockingAsyncHelloServlet extends HttpServlet {
private static ThreadPoolExecutor executor = new ThreadPoolExecutor(100, 200, 50000L, TimeUnit.MILLISECONDS, new ArrayBlockingQueue<>(100));
protected void doGet(HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException {
AsyncContext asyncContext = request.startAsync();
ServletInputStream inputStream = request.getInputStream();
inputStream.setReadListener(new ReadListener() {
@Override
public void onDataAvailable() throws IOException {
}
@Override
public void onAllDataRead() throws IOException {
executor.execute(() -> {
new LongRunningProcess().run();
try {
asyncContext.getResponse().getWriter().write("Hello World!");
} catch (IOException e) {
e.printStackTrace();
}
asyncContext.complete();
});
}
@Override
public void onError(Throwable t) {
asyncContext.complete();
}
});
}
}娴佺▼鍥惧涓嬶細
涓婇潰鐨勪緥瀛愭潵婧愶細
- https://www.cnblogs.com/davenkin/p/async-servlet.html
绠�鍗曠殑鏂瑰紡锛屾垜浠繕鍙互浣跨敤JDK 8 鎻愪緵鐨�CompletableFuture绫伙紝杩欎釜绫诲彲浠ユ柟渚跨殑澶勭悊寮傛璋冪敤銆�
protected void doGet(HttpServletRequest request,
HttpServletResponse response) throws ServletException, IOException {
long t1 = System.currentTimeMillis();
// 寮�鍚紓姝�
AsyncContext asyncContext = request.startAsync();
// 鎵ц涓氬姟浠ｇ爜(doSomething 鎸囩殑鏄鐞嗚�楄垂鏃堕棿闀跨殑鏂规硶)
CompletableFuture.runAsync(() -> doSomeThing(asyncContext,
asyncContext.getRequest(), asyncContext.getResponse()));
System.out.println("async use:" + (System.currentTimeMillis() - t1));
}
瑕佸鐞嗗鏉傜殑閫昏緫鏃讹紝鏃犺鏄洖璋冩垨 CompletableFuture鍦�浠ｇ爜缂栧啓涓婇兘浼氭瘮杈冨鏉�锛堜唬鐮侀噺澶э紝涓嶆槗浜庣湅鎳�)锛岃�學ebFlux浣跨敤鐨勬槸Reactor鍝嶅簲寮忔祦锛岄噷杈�鎻愪緵浜嗕竴绯诲垪鐨凙PI渚涙垜浠幓澶勭悊閫昏緫锛屽氨寰堟柟渚夸簡銆�
鏇撮噸瑕佺殑鏄細
- WebFlux浣跨敤璧锋潵鍙互鍍忎娇鐢⊿pringMVC涓�鏍凤紝鑳藉澶уぇ鍑忓皬瀛︿範鎴愭湰
- WebFlux涔熷彲浠ヤ娇鐢�Functional Endpoints鏂瑰紡缂栫▼锛屾�荤殑鏉ヨ杩樻槸瑕佹瘮
鍥炶皟/CompletableFuture瑕佺畝娲佸拰鏄撶紪鍐欍��
鍊煎緱涓�鎻愮殑鏄細
濡傛灉Web瀹瑰櫒浣跨敤鐨勬槸Tomcat锛岄偅涔堝氨鏄娇鐢≧eactor妗ユ帴鐨剆ervlet async api
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- 鍚屾锛氭湇鍔″櫒鎺ユ敹鍒拌姹傦紝涓�涓嚎绋嬩細澶勭悊璇锋眰锛岀洿鍒拌璇锋眰澶勭悊瀹屾垚锛岃繑鍥炵粰娴忚鍣�
- 寮傛锛氭湇鍔″櫒鎺ユ敹鍒拌姹傦紝涓�涓嚎绋嬩細澶勭悊璇锋眰锛岀劧鍚�鎸囨淳鍒殑绾跨▼澶勭悊璇锋眰锛岃姹傜殑绾跨▼鐩存帴绌洪棽鍑烘潵銆�
瀹樼綉涔熻浜嗭細
Reactive and non-blocking generally do not make applications run faster
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The key expected benefit of reactive and non-blocking is the ability to scale with a small, fixed number of threads and less memory.That makes applications more resilient under load, because they scale in a more predictable way
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娉細
- 璇锋眰閲忎笉澶ф椂(3000宸﹀彸)锛屽悓姝ラ樆濉炲绾跨▼澶勭悊璇锋眰锛屽悶鍚愰噺鍜屽搷搴旀椂闀块兘娌¤惤鍚庛�傦紙鎸夐亾鐞哤ebFlux鍙兘杩樿钀藉悗涓�浜涳紝姣曠珶澶氬仛浜嗕竴姝ュ鐞�
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- 缃戠粶杈冩參鎴栬�匢O浼氱粡甯稿嚭鐜伴棶棰樼殑鍦烘櫙
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濡傛灉鎯宠鍙戞尌鍑篧ebFlux鐨勬�ц兘锛岄渶瑕佷粠Dao鍒癝ervice锛屽叏閮ㄩ兘瑕佹槸Mono鍜孎lux锛岀洰鍓嶅畼鏂圭殑鏁版嵁灞俁eactive妗嗘灦鍙敮鎸丷edis锛孧ongo绛夊嚑涓紝娌℃湁JDBC銆�
鐩墠瀵逛簬鍏崇郴鍨嬫暟鎹簱锛�Pivotal鍥㈤槦寮�婧愬嚭R2DBC锛圧eactive Relational Database Connectivity锛夛紝鍏禛itHub鍦板潃涓猴細
- https://github.com/r2dbc
鐩墠R2DBC鏀寔涓夌鏁版嵁婧愶細
- PostgreSQL
- H2
- Microsoft SQL Server
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鍙傝�冭祫鏂欙細
- [https://blog.lovezhy.cc/2018/12/29/webflux%E6%80%A7%E8%83%BD%E9%97%AE%E9%A2%98/](https://blog.lovezhy.cc/2018/12/29/webflux鎬ц兘闂/)
鍥涖�佹湁蹇呰瀛unctional Endpoints 缂栫▼妯″紡鍚楋紵
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Lambda-based, lightweight, and functional programming model
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浠ヤ笅鏄�氳繃Functional Endpoints鐨勬柟寮忔潵浣跨敤WebFlux鐨勭ず渚嬶細
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