首页 > 代码库 > motan源码分析十一:部分特性
motan源码分析十一:部分特性
本章将描述motan部分的特性并对源码进行分析。
1.requestid的维护,使用了当前时间左移20位,再和一个自增变量组合
public class RequestIdGenerator { protected static final AtomicLong offset = new AtomicLong(0); protected static final int BITS = 20; protected static final long MAX_COUNT_PER_MILLIS = 1 << BITS; /** * 获取 requestId * * @return */ public static long getRequestId() { long currentTime = System.currentTimeMillis(); long count = offset.incrementAndGet(); while(count >= MAX_COUNT_PER_MILLIS){ synchronized (RequestIdGenerator.class){ if(offset.get() >= MAX_COUNT_PER_MILLIS){ offset.set(0); } } count = offset.incrementAndGet(); } return (currentTime << BITS) + count; } public static long getRequestIdFromClient() { // TODO 上下文 requestid return 0; }}
2.限流,motan支持简单的限流,是利用filter来实现的
@SpiMeta(name = "active")@Activation(sequence = 1)public class ActiveLimitFilter implements Filter { @Override public Response filter(Caller<?> caller, Request request) { int maxAcvitivyCount = caller.getUrl().getIntParameter(URLParamType.actives.getName(), URLParamType.actives.getIntValue()); if (maxAcvitivyCount > 0) { int activeCount = RpcStats.getServiceStat(caller.getUrl()).getActiveCount(); if (activeCount >= maxAcvitivyCount) { throw new MotanServiceException(String.format("Request(%s) active count exceed the limit (%s), referer:%s", request, maxAcvitivyCount, caller.getUrl()), MotanErrorMsgConstant.SERVICE_REJECT); } } long startTime = System.currentTimeMillis(); RpcStats.beforeCall(caller.getUrl(), request); try { Response rs = caller.call(request); RpcStats.afterCall(caller.getUrl(), request, true, System.currentTimeMillis() - startTime); return rs; } catch (RuntimeException re) { RpcStats.afterCall(caller.getUrl(), request, false, System.currentTimeMillis() - startTime); throw re; } }}
3.对于连续失败的client进行不可用操作
void incrErrorCount() { long count = errorCount.incrementAndGet(); // 如果节点是可用状态,同时当前连续失败的次数超过限制maxClientConnection次,那么把该节点标示为不可用 if (count >= maxClientConnection && state.isAliveState()) { synchronized (this) { count = errorCount.longValue(); if (count >= maxClientConnection && state.isAliveState()) { LoggerUtil.error("NettyClient unavailable Error: url=" + url.getIdentity() + " " + url.getServerPortStr()); state = ChannelState.UNALIVE; } } } } void resetErrorCount() { errorCount.set(0); if (state.isAliveState()) { return; } synchronized (this) { if (state.isAliveState()) { return; } // 如果节点是unalive才进行设置,而如果是 close 或者 uninit,那么直接忽略 if (state.isUnAliveState()) { long count = errorCount.longValue(); // 过程中有其他并发更新errorCount的,因此这里需要进行一次判断 if (count < maxClientConnection) { state = ChannelState.ALIVE; LoggerUtil.info("NettyClient recover available: url=" + url.getIdentity() + " " + url.getServerPortStr()); } } } }
4.支持多注册中心,因此cluster的refer集合是所有注册中心包含服务器的集合,如果同一个服务器在不同的注册中心注册,则cluster中当作两个服务器
5.服务端的采用boss线程池+工作线程池+业务线程池的处理方式
private final static ChannelFactory channelFactory = new NioServerSocketChannelFactory(//boss线程池和工作线程池,主要负责接收消息 Executors.newCachedThreadPool(new DefaultThreadFactory("nettyServerBoss", true)), Executors.newCachedThreadPool(new DefaultThreadFactory("nettyServerWorker", true))); private StandardThreadExecutor standardThreadExecutor = null;//业务线程池,负责具体的业务处理 standardThreadExecutor = (standardThreadExecutor != null && !standardThreadExecutor.isShutdown()) ? standardThreadExecutor : new StandardThreadExecutor(minWorkerThread, maxWorkerThread, workerQueueSize, new DefaultThreadFactory("NettyServer-" + url.getServerPortStr(), true)); standardThreadExecutor.prestartAllCoreThreads(); final NettyChannelHandler handler = new NettyChannelHandler(NettyServer.this, messageHandler, standardThreadExecutor);//handler使用业务线程池今天处理具体的业务
motan源码分析十一:部分特性
声明:以上内容来自用户投稿及互联网公开渠道收集整理发布,本网站不拥有所有权,未作人工编辑处理,也不承担相关法律责任,若内容有误或涉及侵权可进行投诉: 投诉/举报 工作人员会在5个工作日内联系你,一经查实,本站将立刻删除涉嫌侵权内容。