客户端发起请求源码

叁叁肆2018-11-18 11:25

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来看一下客户端请求代码:

1         DemoService demoService = (DemoService) context.getBean("demoService"); // 获取远程服务代理
2         String hello = demoService.sayHello("world"); // 执行远程方法

8.2 构建客户端源码解析中我们看到最终得到的demoService是一个proxy0代理对象。现在来分析第二行代码。

一 客户端请求总体流程

//代理发出请求
proxy0.sayHello(String paramString) -->InvokerInvocationHandler.invoke(Object proxy, Method method, Object[] args) -->new RpcInvocation(method, args) -->MockClusterInvoker.invoke(Invocation invocation)//服务降级的地方 //ClusterInvoker将多个Invoker伪装成一个集群版的Invoker -->AbstractClusterInvoker.invoke(final Invocation invocation) //获取Invokers -->list(Invocation invocation) -->AbstractDirectory.list(Invocation invocation) -->RegistryDirectory.doList(Invocation invocation)//从Map<String, List<Invoker<T>>> methodInvokerMap中获取key为sayHello的List<Invoker<T>> -->MockInvokersSelector.getNormalInvokers(final List<Invoker<T>> invokers)//对上述的List<Invoker<T>>再进行一次过滤(这里比如说过滤出所有协议为mock的Invoker,如果一个也没有就全部返回),这就是router的作用 //获取负载均衡器 -->loadbalance = ExtensionLoader.getExtensionLoader(LoadBalance.class).getExtension(invokers.get(0).getUrl() .getMethodParameter(invocation.getMethodName(), Constants.LOADBALANCE_KEY, Constants.DEFAULT_LOADBALANCE))//默认为random -->RpcUtils.attachInvocationIdIfAsync(getUrl(), invocation)//异步操作添加invocationID -->FailoverClusterInvoker.doInvoke(Invocation invocation, final List<Invoker<T>> invokers, LoadBalance loadbalance) //使用负载均衡器选择一个Invoker出来:RegistryDirectory$InvokerDelegete实例 -->AbstractClusterInvoker.select(LoadBalance loadbalance, Invocation invocation, List<Invoker<T>> invokers, List<Invoker<T>> selected) -->doselect(LoadBalance loadbalance, Invocation invocation, List<Invoker<T>> invokers, List<Invoker<T>> selected) -->AbstractLoadBalance.select(List<Invoker<T>> invokers, URL url, Invocation invocation) -->RandomLoadBalance.doSelect(List<Invoker<T>> invokers, URL url, Invocation invocation) //执行listener和filter链 -->ListenerInvokerWrapper.invoke -->ConsumerContextFilter.invoke(Invoker<?> invoker, Invocation invocation)//设置一些RpcContext属性,并且设置invocation中的invoker属性 -->FutureFilter.invoke(Invocation invocation) -->MonitorFilter.invoke(Invocation invocation)//monitor在这里收集数据 -->AbstractInvoker.invoke(Invocation inv)//重新设置了invocation中的invoker属性和attachment属性 -->DubboInvoker.doInvoke(final Invocation invocation) //获取ExchangeClient进行消息的发送 -->ReferenceCountExchangeClient.request(Object request, int timeout) -->HeaderExchangeClient.request(Object request, int timeout) -->HeaderExchangeChannel.request(Object request, int timeout) -->AbstractClient.send(Object message, boolean sent)//NettyClient的父类 -->getChannel()//NettyChannel实例,其内部channel实例=NioClientSocketChannel实例 -->NettyChannel.send(Object message, boolean sent) -->NioClientSocketChannel.write(Object message)//已经是netty的东西了,这里的message=Request实例:最重要的是RpcInvocation [methodName=sayHello, parameterTypes=[class java.lang.String], arguments=[world], attachments={path=com.alibaba.dubbo.demo.DemoService, interface=com.alibaba.dubbo.demo.DemoService, version=0.0.0}]

总体流程:

  • 将请求参数(方法名,方法参数类型,方法参数值,服务名,附加参数)封装成一个Invocation
    • 附加参数中的path:即接口名,将会用于服务端接收请求信息后从exportMap中选取Exporter实例
    • 方法名,方法参数类型,方法参数值:将用于JavassistProxyFactory$AbstractProxyInvoker执行对应的方法
  • 使用Directory从Map<String, List<Invoker<T>>> methodInvokerMap中获取key为sayHello(指定方法名)的List<Invoker<T>>
  • 使用Router对上述的List<Invoker<T>>再进行一次过滤,得到subList
  • 使用LoadBalancer从subList中再获取一个Invoker,实际上是InvokerDelegete实例
  • 使用InvokerDelegete实例执行真正的DubboInvoker的listener和filter链,然后执行到真正的DubboInvoker
  • DubboInvoker使用NettyClient向服务端发出了请求

二 源码分析

首先来看proxy0.sayHello

 1     public String sayHello(String paramString) {
 2         Object[] arrayOfObject = new Object[1];
 3         arrayOfObject[0] = paramString;
 4         Object localObject = null;
 5         try {
 6             localObject = this.handler.invoke(this, DemoService.class.getMethod("sayHello"), arrayOfObject);
 7         } catch (Throwable e) {
 8             // TODO Auto-generated catch block
 9             e.printStackTrace();
10         }
11         return (String) localObject;
12     }

这里的handler就是InvokerInvocationHandler

 1 public class InvokerInvocationHandler implements InvocationHandler {
 2     private final Invoker<?> invoker;//MockClusterInvoker实例
 3 
 4     public InvokerInvocationHandler(Invoker<?> handler) {
 5         this.invoker = handler;
 6     }
 7 
 8     public Object invoke(Object proxy, Method method, Object[] args) throws Throwable {
 9         String methodName = method.getName();
10         Class<?>[] parameterTypes = method.getParameterTypes();
11         if (method.getDeclaringClass() == Object.class) {
12             return method.invoke(invoker, args);
13         }
14         if ("toString".equals(methodName) && parameterTypes.length == 0) {
15             return invoker.toString();
16         }
17         if ("hashCode".equals(methodName) && parameterTypes.length == 0) {
18             return invoker.hashCode();
19         }
20         if ("equals".equals(methodName) && parameterTypes.length == 1) {
21             return invoker.equals(args[0]);
22         }
23         return invoker.invoke(new RpcInvocation(method, args)).recreate();
24     }
25 }

首先将请求参数封装成一个RpcInvocation实例,如下:

-->String methodName=sayHello
-->Class<?>[] parameterTypes=[class java.lang.String]
-->Object[] arguments=[world]
-->Map<String, String> attachments={}

之后使用MockClusterInvoker.invoke(Invocation invocation)进行远程调用:

 1     private final Directory<T> directory;//RegistryDirectory
 2     private final Invoker<T> invoker;//FailoverClusterInvoker
 3 
 4     /**
 5      * 这里实际上会根据配置的mock参数来做服务降级:
 6      * 1 如果没有配置mock参数或者mock=false,则进行远程调用;
 7      * 2 如果配置了mock=force:return null,则直接返回null,不进行远程调用;
 8      * 3 如果配置了mock=fail:return null,先进行远程调用,失败了在进行mock调用。
 9      */
10     public Result invoke(Invocation invocation) throws RpcException {
11         Result result = null;
12         //sayHello.mock->mock->default.mock
13         String value = directory.getUrl().getMethodParameter(invocation.getMethodName(), Constants.MOCK_KEY, Boolean.FALSE.toString()).trim();
14         if (value.length() == 0 || value.equalsIgnoreCase("false")) {
15             //no mock
16             result = this.invoker.invoke(invocation);
17         } else if (value.startsWith("force")) {
18             if (logger.isWarnEnabled()) {
19                 logger.info("force-mock: " + invocation.getMethodName() + " force-mock enabled , url : " + directory.getUrl());
20             }
21             //force:direct mock
22             result = doMockInvoke(invocation, null);
23         } else {
24             //fail-mock
25             try {
26                 result = this.invoker.invoke(invocation);
27             } catch (RpcException e) {
28                 if (e.isBiz()) {
29                     throw e;
30                 } else {
31                     if (logger.isWarnEnabled()) {
32                         logger.info("fail-mock: " + invocation.getMethodName() + " fail-mock enabled , url : " + directory.getUrl(), e);
33                     }
34                     result = doMockInvoke(invocation, e);
35                 }
36             }
37         }
38         return result;
39     }

注意:这里可以做服务降级,后续会说。

之后调用FailoverClusterInvoker.invoke方法,该方法在其父类AbstractClusterInvoker中,

 1     protected final Directory<T> directory;//RegistryDirectory    
 2     
 3     public Result invoke(final Invocation invocation) throws RpcException {
 4         ...
 5         LoadBalance loadbalance;
 6 
 7         List<Invoker<T>> invokers = list(invocation);
 8         if (invokers != null && invokers.size() > 0) {
 9             loadbalance = ExtensionLoader.getExtensionLoader(LoadBalance.class).getExtension(invokers.get(0).getUrl()
10                     .getMethodParameter(invocation.getMethodName(), Constants.LOADBALANCE_KEY, Constants.DEFAULT_LOADBALANCE));
11         } else {
12             loadbalance = ExtensionLoader.getExtensionLoader(LoadBalance.class).getExtension(Constants.DEFAULT_LOADBALANCE);
13         }
14         RpcUtils.attachInvocationIdIfAsync(getUrl(), invocation);//异步调用加调用ID
15         return doInvoke(invocation, invokers, loadbalance);
16     }
17 
18     protected List<Invoker<T>> list(Invocation invocation) throws RpcException {
19         List<Invoker<T>> invokers = directory.list(invocation);
20         return invokers;
21     }

首先是获取一个List<Invoker<T>>,之后获取一个LoadBalance,最后调用doInvoke进行调用。

首先来看通过RegistryDirectory.list(Invocation invocation),该方法在RegistryDirectory的父类AbstractDirectory中:

 1     private volatile List<Router> routers;
 2     public List<Invoker<T>> list(Invocation invocation) throws RpcException {
 3         ...
 4         List<Invoker<T>> invokers = doList(invocation);
 5         List<Router> localRouters = this.routers; // local reference
 6         if (localRouters != null && localRouters.size() > 0) {
 7             for (Router router : localRouters) {
 8                 try {
 9                     if (router.getUrl() == null || router.getUrl().getParameter(Constants.RUNTIME_KEY, true)) {
10                         invokers = router.route(invokers, getConsumerUrl(), invocation);
11                     }
12                 } catch (Throwable t) {
13                     logger.error("Failed to execute router: " + getUrl() + ", cause: " + t.getMessage(), t);
14                 }
15             }
16         }
17         return invokers;
18     }

首先执行doList(invocation)方法获取出List<Invoker<T>>,之后使用router循环过滤,最后返回过滤后的List<Invoker<T>>。

RegistryDirectory.doList(invocation)

 1     public List<Invoker<T>> doList(Invocation invocation) {
 2         ...
 3         List<Invoker<T>> invokers = null;
 4         Map<String, List<Invoker<T>>> localMethodInvokerMap = this.methodInvokerMap; // local reference
 5         if (localMethodInvokerMap != null && localMethodInvokerMap.size() > 0) {
 6             String methodName = RpcUtils.getMethodName(invocation);
 7             Object[] args = RpcUtils.getArguments(invocation);
 8             if (args != null && args.length > 0 && args[0] != null
 9                     && (args[0] instanceof String || args[0].getClass().isEnum())) {
10                 invokers = localMethodInvokerMap.get(methodName + "." + args[0]); // 可根据第一个参数枚举路由 sayHello.world
11             }
12             if (invokers == null) {
13                 invokers = localMethodInvokerMap.get(methodName);
14             }
15             if (invokers == null) {
16                 invokers = localMethodInvokerMap.get(Constants.ANY_VALUE);
17             }
18             if (invokers == null) {
19                 Iterator<List<Invoker<T>>> iterator = localMethodInvokerMap.values().iterator();
20                 if (iterator.hasNext()) {
21                     invokers = iterator.next();
22                 }
23             }
24         }
25         return invokers == null ? new ArrayList<Invoker<T>>(0) : invokers;
26     }

其中Map<String, List<Invoker<T>>> methodInvokerMap在8.2 构建客户端源码解析已经初始化好了:

Map<String, List<Invoker<T>>> methodInvokerMap={
sayHello=[provider1的RegistryDirectory$InvokerDelegete实例, provider2的RegistryDirectory$InvokerDelegete实例], *=[provider1的RegistryDirectory$InvokerDelegete实例, provider2的RegistryDirectory$InvokerDelegete实例]}

这里根据方法名sayHello取出两个RegistryDirectory$InvokerDelegete实例。最后通过Router进行过滤,这里只有一个Router,就是MockInvokersSelector。

 1     public <T> List<Invoker<T>> route(final List<Invoker<T>> invokers,
 2                                       URL url, final Invocation invocation) throws RpcException {
 3         if (invocation.getAttachments() == null) {
 4             return getNormalInvokers(invokers);
 5         } else {
 6             String value = invocation.getAttachments().get(Constants.INVOCATION_NEED_MOCK);
 7             if (value == null)
 8                 return getNormalInvokers(invokers);
 9             else if (Boolean.TRUE.toString().equalsIgnoreCase(value)) {
10                 return getMockedInvokers(invokers);
11             }
12         }
13         return invokers;
14     }
15 
16     private <T> List<Invoker<T>> getNormalInvokers(final List<Invoker<T>> invokers) {
17         if (!hasMockProviders(invokers)) {
18             return invokers;
19         } else {
20             List<Invoker<T>> sInvokers = new ArrayList<Invoker<T>>(invokers.size());
21             for (Invoker<T> invoker : invokers) {
22                 if (!invoker.getUrl().getProtocol().equals(Constants.MOCK_PROTOCOL)) {
23                     sInvokers.add(invoker);
24                 }
25             }
26             return sInvokers;
27         }
28     }

这里直接返回了。到此就已经选出可以被调用的RegistryDirectory$InvokerDelegete实例子集了。记下来先获取负载均衡器,默认是RandomLoadBalance。最后执行FailoverClusterInvoker.

doInvoke(Invocation invocation, final List<Invoker<T>> invokers, LoadBalance loadbalance):

 1     public Result doInvoke(Invocation invocation, final List<Invoker<T>> invokers, LoadBalance loadbalance) throws RpcException {
 2         List<Invoker<T>> copyinvokers = invokers;
 3         checkInvokers(copyinvokers, invocation);
 4         int len = getUrl().getMethodParameter(invocation.getMethodName(), Constants.RETRIES_KEY, Constants.DEFAULT_RETRIES) + 1;//默认是2+1次
 5         if (len <= 0) {
 6             len = 1;
 7         }
 8         // retry loop.
 9         RpcException le = null; // last exception.
10         List<Invoker<T>> invoked = new ArrayList<Invoker<T>>(copyinvokers.size()); // invoked invokers.
11         Set<String> providers = new HashSet<String>(len);
12         for (int i = 0; i < len; i++) {
13             //重试时,进行重新选择,避免重试时invoker列表已发生变化.
14             //注意:如果列表发生了变化,那么invoked判断会失效,因为invoker示例已经改变
15             if (i > 0) {
16                 checkWhetherDestroyed();
17                 copyinvokers = list(invocation);
18                 //重新检查一下
19                 checkInvokers(copyinvokers, invocation);
20             }
21             Invoker<T> invoker = select(loadbalance, invocation, copyinvokers, invoked);
22             invoked.add(invoker);
23             RpcContext.getContext().setInvokers((List) invoked);
24             try {
25                 Result result = invoker.invoke(invocation);
26                 ...
27                 return result;
28             } catch (RpcException e) {
29                 if (e.isBiz()) { // biz exception.
30                     throw e;
31                 }
32                 le = e;
33             } catch (Throwable e) {
34                 le = new RpcException(e.getMessage(), e);
35             } finally {
36                 providers.add(invoker.getUrl().getAddress());
37             }
38         }
39         throw new RpcException(le ...);
40     }

首先使用负载均衡器获取一个RegistryDirectory$InvokerDelegete实例,然后使用选出的RegistryDirectory$InvokerDelegete.invoke进行请求发送。

 1     protected Invoker<T> select(LoadBalance loadbalance, Invocation invocation, List<Invoker<T>> invokers, List<Invoker<T>> selected) throws RpcException {
 2         ...
 3         Invoker<T> invoker = doselect(loadbalance, invocation, invokers, selected);
 4         ..
 5         return invoker;
 6     }
 7 
 8     private Invoker<T> doselect(LoadBalance loadbalance, Invocation invocation, List<Invoker<T>> invokers, List<Invoker<T>> selected) throws RpcException {
 9         if (invokers == null || invokers.size() == 0)
10             return null;
11         if (invokers.size() == 1)
12             return invokers.get(0);
13         // 如果只有两个invoker,并且其中一个已经有至少一个被选过了,退化成轮循
14         if (invokers.size() == 2 && selected != null && selected.size() > 0) {
15             return selected.get(0) == invokers.get(0) ? invokers.get(1) : invokers.get(0);
16         }
17         Invoker<T> invoker = loadbalance.select(invokers, getUrl(), invocation);
18 
19         //如果 selected中包含(优先判断) 或者 不可用&&availablecheck=true 则重试.
20         if ((selected != null && selected.contains(invoker))
21                 || (!invoker.isAvailable() && getUrl() != null && availablecheck)) {
22             try {
23                 Invoker<T> rinvoker = reselect(loadbalance, invocation, invokers, selected, availablecheck);
24                 ...
25             } catch (Throwable t) {
26                ...
27             }
28         }
29         return invoker;
30     }

RandomLoadBalance.doSelect

1     private final Random random = new Random();
2 
3     protected <T> Invoker<T> doSelect(List<Invoker<T>> invokers, URL url, Invocation invocation) {
4         int length = invokers.size(); // 总个数
5         ...//权重计算
6         // 如果权重相同或权重为0则均等随机
7         return invokers.get(random.nextInt(length));
8     }

最后来看RegistryDirectory$InvokerDelegete.invoke,该方法实际在其父类InvokerWrapper中:

1     private final Invoker<T> invoker;//ListenerInvokerWrapper
2 
3     public Result invoke(Invocation invocation) throws RpcException {
4         return invoker.invoke(invocation);
5     }

ListenerInvokerWrapper.invoke

1     private final Invoker<T> invoker;//ProtocolFilterWrapper$Invoker
2 
3     public Result invoke(Invocation invocation) throws RpcException {
4         return invoker.invoke(invocation);
5     }

之后就会执行一系列的filter,这些filter后续会讲,现在直接执行到DubboInvoker.invoke,实际上该方法在其父类AbstractInvoker中,AbstractInvoker又调用了DubboInvoker.doInvoke:

 1     private final ExchangeClient[] clients;
 2 
 3     protected Result doInvoke(final Invocation invocation) throws Throwable {
 4         RpcInvocation inv = (RpcInvocation) invocation;
 5         final String methodName = RpcUtils.getMethodName(invocation);
 6         inv.setAttachment(Constants.PATH_KEY, getUrl().getPath());
 7         inv.setAttachment(Constants.VERSION_KEY, version);
 8 
 9         ExchangeClient currentClient;
10         if (clients.length == 1) {
11             currentClient = clients[0];//单一长连接。默认
12         } else {
13             currentClient = clients[index.getAndIncrement() % clients.length];
14         }
15         try {
16             boolean isAsync = RpcUtils.isAsync(getUrl(), invocation);//是否异步
17             boolean isOneway = RpcUtils.isOneway(getUrl(), invocation);//是否没有返回值
18             int timeout = getUrl().getMethodParameter(methodName, Constants.TIMEOUT_KEY, Constants.DEFAULT_TIMEOUT);
19             if (isOneway) {
20                 boolean isSent = getUrl().getMethodParameter(methodName, Constants.SENT_KEY, false);
21                 currentClient.send(inv, isSent);
22                 RpcContext.getContext().setFuture(null);
23                 return new RpcResult();
24             } else if (isAsync) {
25                 ResponseFuture future = currentClient.request(inv, timeout);
26                 RpcContext.getContext().setFuture(new FutureAdapter<Object>(future));
27                 return new RpcResult();
28             } else {
29                 RpcContext.getContext().setFuture(null);
30                 return (Result) currentClient.request(inv, timeout).get();
31             }
32         } catch (TimeoutException e) {
33             throw new RpcException(RpcException.TIMEOUT_EXCEPTION, "Invoke remote method timeout. method: " + invocation.getMethodName() + ", provider: " + getUrl() + ", cause: " + e.getMessage(), e);
34         } catch (RemotingException e) {
35             throw new RpcException(RpcException.NETWORK_EXCEPTION, "Failed to invoke remote method: " + invocation.getMethodName() + ", provider: " + getUrl() + ", cause: " + e.getMessage(), e);
36         }
37     }

其中ExchangeClient[] clients在8.2 构建客户端源码解析已经被初始化好了:

1 ExchangeClient[] clients = [ReferenceCountExchangeClient实例]//如果设置了多条连接,此处有多个client

ReferenceCountExchangeClient.request

1     private ExchangeClient client;//HeaderExchangeClient
2 
3     public ResponseFuture request(Object request, int timeout) throws RemotingException {
4         return client.request(request, timeout);
5     }

HeaderExchangeClient.request

1     private final ExchangeChannel channel;//HeaderExchangeChannel
2 
3     public ResponseFuture request(Object request, int timeout) throws RemotingException {
4         return channel.request(request, timeout);
5     }

HeaderExchangeChannel.request

 1     private final Channel channel;//NettyClient
 2 
 3     public ResponseFuture request(Object request, int timeout) throws RemotingException {
 4         if (closed) {
 5             throw new RemotingException(this.getLocalAddress(), null, "Failed to send request " + request + ", cause: The channel " + this + " is closed!");
 6         }
 7         // create request.
 8         Request req = new Request();
 9         req.setVersion("2.0.0");
10         req.setTwoWay(true);
11         req.setData(request);
12         DefaultFuture future = new DefaultFuture(channel, req, timeout);
13         try {
14             channel.send(req);
15         } catch (RemotingException e) {
16             future.cancel();
17             throw e;
18         }
19         return future;
20     }

上边的channel是NettyClient实例,这里的send实际上是调用其父类AbstractClient的父类AbstractPeer,AbstractPeer调用AbstractClient.send:

 1     public void send(Object message, boolean sent) throws RemotingException {
 2         if (send_reconnect && !isConnected()) {
 3             connect();
 4         }
 5         Channel channel = getChannel();//NettyChannel
 6         //TODO getChannel返回的状态是否包含null需要改进
 7         if (channel == null || !channel.isConnected()) {
 8             throw new RemotingException(this, "message can not send, because channel is closed . url:" + getUrl());
 9         }
10         channel.send(message, sent);
11     }

NettyChannel.send

 1     private final org.jboss.netty.channel.Channel channel;//NioClientSocketChannel
 2 
 3     public void send(Object message, boolean sent) throws RemotingException {
 4         super.send(message, sent);
 5 
 6         boolean success = true;
 7         int timeout = 0;
 8         try {
 9             ChannelFuture future = channel.write(message);
10             if (sent) {
11                 timeout = getUrl().getPositiveParameter(Constants.TIMEOUT_KEY, Constants.DEFAULT_TIMEOUT);
12                 success = future.await(timeout);
13             }
14             Throwable cause = future.getCause();
15             if (cause != null) {
16                 throw cause;
17             }
18         } catch (Throwable e) {
19             throw new RemotingException(this, "Failed to send message " + message + " to " + getRemoteAddress() + ", cause: " + e.getMessage(), e);
20         }
21 
22         if (!success) {
23             throw new RemotingException(this, "Failed to send message " + message + " to " + getRemoteAddress()
24                     + "in timeout(" + timeout + "ms) limit");
25         }
26     }

这里就执行到了netty内部,通过netty自己的NioClientSocketChannel将消息发送给服务端。(这里发送之前有编码行为,后续会讲)


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