场景
假设我们现在要实现这样一个功能:浏览器要实时展示服务端计算出来的数据。
一种可能的实现是:浏览器频繁(例如定时1秒)向服务端发起请求以获得服务端数据。但定时请求并不能“实时”反应服务端的数据变化情况。
若定时周期为S,则数据延迟周期最大即为S。若想缩短数据延迟周期,则应使S尽量小,而S越小,浏览器向服务端发起请求的频率越高,又造成网络握手次数越多,影响了效率。因此,此场景应使用服务端实时推送技术。
这里说是推送,其实还是基于请求-响应机制,只不过发起的请求会在服务端挂起,直到请求超时或服务端有数据推送时才会做出响应,响应的时机完全由服务端控制。所以,整体效果看起来就像是服务端真的在“实时推送”一样。
可以利用SpringMVC的DeferredResult
来实现异步长连接的服务端实时推送。
入门Demo
后端代码
@RequestMapping("/call")
@ResponseBody
public DeferredResult<Object> call() { // 泛型Object表示返回结果的类型
DeferredResult<Object> response = new DeferredResult<Object>(
10000, // 请求的超时时间
null); // 超时后响应的结果
response.onCompletion(new Runnable() {
@Override
public void run() {
// 请求处理完成后所做的一些工作
}
});
// 设置响应结果
// 调用此方法时立即向浏览器发出响应;未调用时请求被挂起
response.setResult(new Object());
return response;
}
- 注意:
- 需要开启 async
- 确保你使用的是servlet 3+
前端代码
var loopCall = function() {
$.get("${yourContext}/call", function(r) {
loopCall();
console.log("call: ");
console.log(r);
});
};
loopCall(); // 循环发起异步请求
执行逻辑
- 浏览器发起异步请求
- 请求到达服务端被挂起(使用浏览器查看请求状态,此时为pending)
- 向浏览器进行响应,分为两种情况:
3.1 调用DeferredResult.setResult()
,请求被唤醒,返回结果
3.2 超时,返回一个你设定的结果 - 浏览得到响应,再次重复1,处理此次响应结果
真实场景
示例:浏览器向A系统发起异步长连接请求,等到B系统给A推送数据时,A会立刻向浏览器响应结果。
数据格式
定义AB之间传输数据的格式
public interface DeferredData {
String getId(); // 唯一标识
}
DeferredResult的持有者
public interface DeferredResultHolder<DeferredData> {
DeferredResult<DeferredData> newDeferredResult(String key, long timeout, Object timeoutResult);
void add(String key, DeferredResult<DeferredData> deferredResult);
DeferredResult<DeferredData> get(String key);
void remove(String key);
void handleDeferredData(DeferredData deferredData);
}
DeferredResult的持有者实现
public class SimpleDeferredResultHolder implements DeferredResultHolder<DeferredData> {
private Map<String, DeferredResult<DeferredData>> deferredResults = new ConcurrentHashMap<String, DeferredResult<DeferredData>>();
public DeferredResult<DeferredData> newDeferredResult(String key) {
return newDeferredResult(key, 30 * 1000L, null);
}
public DeferredResult<DeferredData> newDeferredResult(String key, long timeout) {
return newDeferredResult(key, timeout, null);
}
public DeferredResult<DeferredData> newDeferredResult(String key, Object timeoutResult) {
return newDeferredResult(key, 30 * 1000L, timeoutResult);
}
@Override
public DeferredResult<DeferredData> newDeferredResult(String key, long timeout, Object timeoutResult) {
DeferredResult<DeferredData> deferredResult = new DeferredResult<DeferredData>(timeout, timeoutResult);
add(key, deferredResult);
deferredResult.onCompletion(new Runnable() {
@Override
public void run() {
remove(key);
}
});
return deferredResult;
}
@Override
public void add(String key, DeferredResult<DeferredData> deferredResult) {
deferredResults.put(key, deferredResult);
}
@Override
public DeferredResult<DeferredData> get(String key) {
return deferredResults.get(key);
}
@Override
public void remove(String key) {
deferredResults.remove(key);
}
@Override
public void handleDeferredData(DeferredData deferredData) {
String key = deferredData.getId();
DeferredResult<DeferredData> deferredResult = get(key);
if (deferredResult != null) {
deferredResult.setResult(deferredData);
}
}
}
消息发送和消费
用mq或dubbo等技术发送都可以,这里用rabbitmq做示例。
如果消费的消费者做了集群部署,则只能使用mq的topic机制分发,推送消息到A的所有部署节点,若使用dubbo则只能调用其中一个节点。因此,这里最好还是使用mq
。
消费的发送者
public interface DeferredDataProducer {
void sendDeferredData(DeferredData deferredData);
}
消息的消费者
public interface DeferredDataConsumer {
void consume(DeferredData deferredData) throws Exception;
}
消费的发送者的实现
public class DeferredDataMqProducer implements DeferredDataProducer {
@Autowired
private AmqpTemplate amqpTemplate;
private String exchange;
private String routingKey = "";
public void setExchange(String exchange) {
this.exchange = exchange;
}
public void setRoutingKey(String routingKey) {
this.routingKey = routingKey;
}
@Override
public void sendDeferredData(DeferredData deferredData) {
amqpTemplate.convertAndSend(exchange, routingKey, deferredData);
}
}
消费的消费者的实现
public class DeferredDataMqConsumer implements DeferredDataConsumer {
private DeferredResultHolder<DeferredNotification> deferredResultHolder;
public void setDeferredResultHolder(DeferredResultHolder<DeferredNotification> deferredResultHolder) {
this.deferredResultHolder = deferredResultHolder;
}
@Override
public void consume(DeferredData deferredData) throws Exception;
deferredResultHolder.handleDeferredData(deferredData);
}
}
具体的数据格式
通知对象
public class Notification {
private String to; // 接收者
private String content; // 内容
// 省略getter和setter方法
}
Notification的DeferredData适配器
public DeferredNotification extends Notification implements DeferredResponse {
@Override
public String getId() {
return getTo();
}
}
B的逻辑
消息的发送者的实现
public class NotificationProducer implements DeferredResponseProducer<DeferredNotification> {
@Autowired
private AmqpTemplate amqpTemplate;
@Override
public void sendMessage(DeferredNotification notification, String exchange) {
amqpTemplate.convertAndSend(exchange, "", notification);
}
}
B的Service
@Autowired
private DeferredDataProducer<DeferredNotification> deferredDataProducer;
public void test() {
DeferredNotification n = new DeferredNotification();
n.setTo("abc"); // 会员
n.setContent("哈哈,我是从admin推送过来的");
deferredDataProducer.sendDeferredData(n);
}
A的逻辑
js请求
var loopCall = function() {
$.get("${yourContext}/call", function(r) {
loopCall();
console.log("call: ");
console.log(r);
});
};
loopCall(); // 循环发起异步请求
Controller
@RequestMapping
@Controller
public class CallController {
@Autowired
private DeferredResultHolder deferredResultHolder;
@RequestMapping("/call")
@ResponseBody
public DeferredResult<DeferredData> call() {
String id = "abc";
return deferredResultHolder.newDeferredResult(id, 10 * 1000L, null);
}
}
代码就是这些了,好好理一下思路,实现你自己的功能吧!
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