Dubbo性能调优参数及原理

Dubbo调用模型

常用性能调优参数

源码及原理分析

threads

FixedThreadPool.java

public Executor getExecutor(URL url) {
String name = url.getParameter(Constants.THREAD_NAME_KEY, Constants.DEFAULT_THREAD_NAME);
int threads = url.getParameter(Constants.THREADS_KEY, Constants.DEFAULT_THREADS);
int queues = url.getParameter(Constants.QUEUES_KEY, Constants.DEFAULT_QUEUES);
return new ThreadPoolExecutor(threads, threads, 0, TimeUnit.MILLISECONDS,
queues == 0 ? new SynchronousQueue() :
(queues < 0 ? new LinkedBlockingQueue() :
new LinkedBlockingQueue(queues)),
new NamedThreadFactory(name, true), new AbortPolicyWithReport(name, url));
}

LimitedThreadPool.java

public Executor getExecutor(URL url) {
String name = url.getParameter(Constants.THREAD_NAME_KEY, Constants.DEFAULT_THREAD_NAME);
int cores = url.getParameter(Constants.CORE_THREADS_KEY, Constants.DEFAULT_CORE_THREADS);
int threads = url.getParameter(Constants.THREADS_KEY, Constants.DEFAULT_THREADS);
int queues = url.getParameter(Constants.QUEUES_KEY, Constants.DEFAULT_QUEUES);
return new ThreadPoolExecutor(cores, threads, Long.MAX_VALUE, TimeUnit.MILLISECONDS,
queues == 0 ? new SynchronousQueue() :
(queues < 0 ? new LinkedBlockingQueue() :
new LinkedBlockingQueue(queues)),
new NamedThreadFactory(name, true), new AbortPolicyWithReport(name, url));
}
其中，Constants.DEFAULT_QUEUES = 200。threads 参数配置的是业务处理线程池的最大（或核心）线程数。

iothreads

NettyServer.java

@Override
protected void doOpen() throws Throwable {
NettyHelper.setNettyLoggerFactory();
ExecutorService boss = Executors.newCachedThreadPool(new NamedThreadFactory(“NettyServerBoss”, true));
ExecutorService worker = Executors.newCachedThreadPool(new NamedThreadFactory(“NettyServerWorker”, true));
ChannelFactory channelFactory = new NioServerSocketChannelFactory(boss, worker, getUrl().getPositiveParameter(Constants.IO_THREADS_KEY, Constants.DEFAULT_IO_THREADS));
bootstrap = new ServerBootstrap(channelFactory);

final NettyHandler nettyHandler = new NettyHandler(getUrl(), this);
channels = nettyHandler.getChannels();
bootstrap.setPipelineFactory(new ChannelPipelineFactory() {
    public ChannelPipeline getPipeline() {
        NettyCodecAdapter adapter = new NettyCodecAdapter(getCodec() ,getUrl(), NettyServer.this);
        ChannelPipeline pipeline = Channels.pipeline();
        pipeline.addLast("decoder", adapter.getDecoder());
        pipeline.addLast("encoder", adapter.getEncoder());
        pipeline.addLast("handler", nettyHandler);
        return pipeline;
    }
});
// bind
channel = bootstrap.bind(getBindAddress());

}

queues

分别在 FixedThreadPool.java、LimitedThreadPool.java 和 CachedThreadPool.java 中使用，代码详情见 3.2章节。 由代码可见，默认值为 0，表示使用同步阻塞队列；如果 queues 设置为小于 0 的值，则使用容量为 Integer.MAX_VALUE 的阻塞链表队列；如果为其他值，则使用指定大小的阻塞链表队列。

connections

DubboProtocol.java

private ExchangeClient[] getClients(URL url){
//是否共享连接
boolean service_share_connect = false;
int connections = url.getParameter(Constants.CONNECTIONS_KEY, 0);
//如果connections不配置，则共享连接，否则每服务每连接
if (connections == 0){
service_share_connect = true;
connections = 1;
}

ExchangeClient[] clients = new ExchangeClient[connections];
for (int i = 0; i < clients.length; i++) {
    if (service_share_connect){
        clients[i] = getSharedClient(url);
    } else {
        clients[i] = initClient(url);
    }
}
return clients;

}
DubboInvoker.java

@Override
protected Result doInvoke(final Invocation invocation) throws Throwable {
RpcInvocation inv = (RpcInvocation) invocation;
final String methodName = RpcUtils.getMethodName(invocation);
inv.setAttachment(Constants.PATH_KEY, getUrl().getPath());
inv.setAttachment(Constants.VERSION_KEY, version);

ExchangeClient currentClient;
if (clients.length == 1) {
    currentClient = clients[0];
} else {
    currentClient = clients[index.getAndIncrement() % clients.length];
}
try {
    boolean isAsync = RpcUtils.isAsync(getUrl(), invocation);
    boolean isOneway = RpcUtils.isOneway(getUrl(), invocation);
    int timeout = getUrl().getMethodParameter(methodName, Constants.TIMEOUT_KEY,Constants.DEFAULT_TIMEOUT);
    if (isOneway) {
        boolean isSent = getUrl().getMethodParameter(methodName, Constants.SENT_KEY, false);
        currentClient.send(inv, isSent);
        RpcContext.getContext().setFuture(null);
        return new RpcResult();
    } else if (isAsync) {
        ResponseFuture future = currentClient.request(inv, timeout) ;
        RpcContext.getContext().setFuture(new FutureAdapter<Object>(future));
        return new RpcResult();
    } else {
        RpcContext.getContext().setFuture(null);
        return (Result) currentClient.request(inv, timeout).get();
    }
} catch (TimeoutException e) {
    throw new RpcException(RpcException.TIMEOUT_EXCEPTION, "Invoke remote method timeout. method: " + invocation.getMethodName() + ", provider: " + getUrl() + ", cause: " + e.getMessage(), e);
} catch (RemotingException e) {
    throw new RpcException(RpcException.NETWORK_EXCEPTION, "Failed to invoke remote method: " + invocation.getMethodName() + ", provider: " + getUrl() + ", cause: " + e.getMessage(), e);
}

}
以上可见，默认值为0，表示针对每个 Provider，所有客户端共享一个长连接；否则，建立指定数量的长连接。在调用时，如果有多个长连接，则使用轮询方式获得一个长连接。

actives

ActiveLimitFilter.java

public Result invoke(Invoker