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Java RpcStatus类代码示例

本文整理汇总了Java中com.alibaba.dubbo.rpc.RpcStatus的典型用法代码示例。如果您正苦于以下问题:Java RpcStatus类的具体用法?Java RpcStatus怎么用?Java RpcStatus使用的例子?那么, 这里精选的类代码示例或许可以为您提供帮助。


RpcStatus类属于com.alibaba.dubbo.rpc包,在下文中一共展示了RpcStatus类的12个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = url.getMethodParameter(methodName, Constants.EXECUTES_KEY, 0);
    if (max > 0) {
        RpcStatus count = RpcStatus.getStatus(url, invocation.getMethodName());
        if (count.getActive() >= max) {
            throw new RpcException("Failed to invoke method " + invocation.getMethodName() + " in provider " + url + ", cause: The service using threads greater than <dubbo:service executes=\"" + max + "\" /> limited.");
        }
    }
    long begin = System.currentTimeMillis();
    boolean isException = false;
    RpcStatus.beginCount(url, methodName);
    try {
        Result result = invoker.invoke(invocation);
        return result;
    } catch (Throwable t) {
        isException = true;
        if(t instanceof RuntimeException) {
            throw (RuntimeException) t;
        }
        else {
            throw new RpcException("unexpected exception when ExecuteLimitFilter", t);
        }
    }
    finally {
        RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, isException);
    }
}
 
开发者ID:dachengxi,项目名称:EatDubbo,代码行数:30,代码来源:ExecuteLimitFilter.java

示例2: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
/**
 * FIXME <dubbo:service executes="xxx" />  服务端对每个服务下每个方法执行的数最大阻塞量的现在  add by jileng
 * @see com.alibaba.dubbo.rpc.Filter#invoke(com.alibaba.dubbo.rpc.Invoker, com.alibaba.dubbo.rpc.Invocation)
 */
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = url.getMethodParameter(methodName, Constants.EXECUTES_KEY, 0);
    if (max > 0) {
        RpcStatus count = RpcStatus.getStatus(url, invocation.getMethodName());
        if (count.getActive() >= max) {
            throw new RpcException("Failed to invoke method " + invocation.getMethodName() + " in provider " + url + ", cause: The service using threads greater than <dubbo:service executes=\"" + max + "\" /> limited.");
        }
    }
    long begin = System.currentTimeMillis();
    boolean isException = false;
    RpcStatus.beginCount(url, methodName);
    try {
        Result result = invoker.invoke(invocation);
        return result;
    } catch (Throwable t) {
        isException = true;
        if(t instanceof RuntimeException) {
            throw (RuntimeException) t;
        }
        else {
            throw new RpcException("unexpected exception when ExecuteLimitFilter", t);
        }
    }
    finally {
        RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, isException);
    }
}
 
开发者ID:spccold,项目名称:dubbo-comments,代码行数:34,代码来源:ExecuteLimitFilter.java

示例3: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = url.getMethodParameter(methodName, Constants.EXECUTES_KEY, 0);
    if (max > 0) {
        RpcStatus count = RpcStatus.getStatus(url, invocation.getMethodName());
        if (count.getActive() >= max) {
            throw new RpcException("Failed to invoke method " + invocation.getMethodName() + " in provider " + url + ", cause: The service using threads greater than <dubbo:service executes=\"" + max + "\" /> limited.");
        }
    }
    long begin = System.currentTimeMillis();
    boolean isException = false;
    RpcStatus.beginCount(url, methodName);
    try {
        return invoker.invoke(invocation);
    } catch (Throwable t) {
        isException = true;
        if(t instanceof RuntimeException) {
            throw (RuntimeException) t;
        }
        else {
            throw new RpcException("unexpected exception when ExecuteLimitFilter", t);
        }
    }
    finally {
        RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, isException);
    }
}
 
开发者ID:linux-china,项目名称:dubbo3,代码行数:29,代码来源:ExecuteLimitFilter.java

示例4: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws JahhanException {
	URL url = invoker.getUrl();
	String methodName = invocation.getMethodName();
	Semaphore executesLimit = null;
	boolean acquireResult = false;
	int max = url.getMethodParameter(methodName, Constants.EXECUTES_KEY, 0);
	if (max > 0) {
		RpcStatus count = RpcStatus.getStatus(url, invocation.getMethodName());
		// if (count.getActive() >= max) {
		/**
		 * http://manzhizhen.iteye.com/blog/2386408 通过信号量来做并发控制(即限制能使用的线程数量)
		 * 2017-08-21 yizhenqiang
		 */
		executesLimit = count.getSemaphore(max);
		if (executesLimit != null && !(acquireResult = executesLimit.tryAcquire())) {
			throw new JahhanException("Failed to invoke method " + invocation.getMethodName() + " in provider "
					+ url + ", cause: The service using threads greater than <dubbo:service executes=\"" + max
					+ "\" /> limited.");
		}
	}
	long begin = System.currentTimeMillis();
	boolean isSuccess = true;
	RpcStatus.beginCount(url, methodName);
	try {
		Result result = invoker.invoke(invocation);
		return result;
	} catch (Throwable t) {
		isSuccess = false;
		if (t instanceof RuntimeException) {
			throw (RuntimeException) t;
		} else {
			throw new JahhanException("unexpected exception when ExecuteLimitFilter", t);
		}
	} finally {
		RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, isSuccess);
		if (acquireResult) {
			executesLimit.release();
		}
	}
}
 
开发者ID:nince-wyj,项目名称:jahhan,代码行数:41,代码来源:ExecuteLimitFilter.java

示例5: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
        URL url = invoker.getUrl();
        String methodName = invocation.getMethodName();
        Semaphore executesLimit = null;
        boolean acquireResult = false;
        int max = url.getMethodParameter(methodName, Constants.EXECUTES_KEY, 0);
        if (max > 0) {
            RpcStatus count = RpcStatus.getStatus(url, invocation.getMethodName());
//            if (count.getActive() >= max) {
            /**
             * http://manzhizhen.iteye.com/blog/2386408
             * 通过信号量来做并发控制(即限制能使用的线程数量)
             * 2017-08-21 yizhenqiang
             */
            executesLimit = count.getSemaphore(max);
            if(executesLimit != null && !(acquireResult = executesLimit.tryAcquire())) {
                throw new RpcException("Failed to invoke method " + invocation.getMethodName() + " in provider " + url + ", cause: The service using threads greater than <dubbo:service executes=\"" + max + "\" /> limited.");
            }
        }
        long begin = System.currentTimeMillis();
        boolean isSuccess = true;
        RpcStatus.beginCount(url, methodName);
        try {
            Result result = invoker.invoke(invocation);
            return result;
        } catch (Throwable t) {
            isSuccess = false;
            if (t instanceof RuntimeException) {
                throw (RuntimeException) t;
            } else {
                throw new RpcException("unexpected exception when ExecuteLimitFilter", t);
            }
        } finally {
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, isSuccess);
            if(acquireResult) {
                executesLimit.release();
            }
        }
    }
 
开发者ID:hufeng,项目名称:dubbo2.js,代码行数:40,代码来源:ExecuteLimitFilter.java

示例6: doSelect

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
protected <T> Invoker<T> doSelect(List<Invoker<T>> invokers, URL url, Invocation invocation) {
    int length = invokers.size(); // 总个数
    int leastActive = -1; // 最小的活跃数
    int leastCount = 0; // 相同最小活跃数的个数
    int[] leastIndexs = new int[length]; // 相同最小活跃数的下标
    int totalWeight = 0; // 总权重
    int firstWeight = 0; // 第一个权重,用于于计算是否相同
    boolean sameWeight = true; // 是否所有权重相同
    for (int i = 0; i < length; i++) {
    	Invoker<T> invoker = invokers.get(i);
        int active = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName()).getActive(); // 活跃数
        int weight = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.WEIGHT_KEY, Constants.DEFAULT_WEIGHT); // 权重
        if (leastActive == -1 || active < leastActive) { // 发现更小的活跃数,重新开始
            leastActive = active; // 记录最小活跃数
            leastCount = 1; // 重新统计相同最小活跃数的个数
            leastIndexs[0] = i; // 重新记录最小活跃数下标
            totalWeight = weight; // 重新累计总权重
            firstWeight = weight; // 记录第一个权重
            sameWeight = true; // 还原权重相同标识
        } else if (active == leastActive) { // 累计相同最小的活跃数
            leastIndexs[leastCount ++] = i; // 累计相同最小活跃数下标
            totalWeight += weight; // 累计总权重
            // 判断所有权重是否一样
            if (sameWeight && i > 0 
                    && weight != firstWeight) {
                sameWeight = false;
            }
        }
    }
    // assert(leastCount > 0)
    if (leastCount == 1) {
        // 如果只有一个最小则直接返回
        return invokers.get(leastIndexs[0]);
    }
    if (! sameWeight && totalWeight > 0) {
        // 如果权重不相同且权重大于0则按总权重数随机
        int offsetWeight = random.nextInt(totalWeight);
        // 并确定随机值落在哪个片断上
        for (int i = 0; i < leastCount; i++) {
            int leastIndex = leastIndexs[i];
            offsetWeight -= getWeight(invokers.get(leastIndex), invocation);
            if (offsetWeight <= 0)
                return invokers.get(leastIndex);
        }
    }
    // 如果权重相同或权重为0则均等随机
    return invokers.get(leastIndexs[random.nextInt(leastCount)]);
}
 
开发者ID:dachengxi,项目名称:EatDubbo,代码行数:49,代码来源:LeastActiveLoadBalance.java

示例7: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = invoker.getUrl().getMethodParameter(methodName, Constants.ACTIVES_KEY, 0);
    RpcStatus count = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName());
    if (max > 0) {
        long timeout = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.TIMEOUT_KEY, 0);
        long start = System.currentTimeMillis();
        long remain = timeout;
        int active = count.getActive();
        if (active >= max) {
            synchronized (count) {
                while ((active = count.getActive()) >= max) {
                    try {
                        count.wait(remain);
                    } catch (InterruptedException e) {
                    }
                    long elapsed = System.currentTimeMillis() - start;
                    remain = timeout - elapsed;
                    if (remain <= 0) {
                        throw new RpcException("Waiting concurrent invoke timeout in client-side for service:  "
                                               + invoker.getInterface().getName() + ", method: "
                                               + invocation.getMethodName() + ", elapsed: " + elapsed
                                               + ", timeout: " + timeout + ". concurrent invokes: " + active
                                               + ". max concurrent invoke limit: " + max);
                    }
                }
            }
        }
    }
    try {
        long begin = System.currentTimeMillis();
        RpcStatus.beginCount(url, methodName);
        try {
            Result result = invoker.invoke(invocation);
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, true);
            return result;
        } catch (RuntimeException t) {
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, false);
            throw t;
        }
    } finally {
        if(max>0){
            synchronized (count) {
                count.notify();
            } 
        }
    }
}
 
开发者ID:dachengxi,项目名称:EatDubbo,代码行数:50,代码来源:ActiveLimitFilter.java

示例8: doSelect

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
protected <T> Invoker<T> doSelect(List<Invoker<T>> invokers, URL url, Invocation invocation) {
    int length = invokers.size(); // 总个数
    int leastActive = -1; // 最小的活跃数
    int leastCount = 0; // 相同最小活跃数的个数
    int[] leastIndexs = new int[length]; // 相同最小活跃数的下标
    int totalWeight = 0; // 总权重
    int firstWeight = 0; // 第一个权重,用于于计算是否相同
    boolean sameWeight = true; // 是否所有权重相同
    for (int i = 0; i < length; i++) {
        Invoker<T> invoker = invokers.get(i);
        int active = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName()).getActive(); // 活跃数
        int weight = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.WEIGHT_KEY, Constants.DEFAULT_WEIGHT); // 权重
        if (leastActive == -1 || active < leastActive) { // 发现更小的活跃数,重新开始
            leastActive = active; // 记录最小活跃数
            leastCount = 1; // 重新统计相同最小活跃数的个数
            leastIndexs[0] = i; // 重新记录最小活跃数下标
            totalWeight = weight; // 重新累计总权重
            firstWeight = weight; // 记录第一个权重
            sameWeight = true; // 还原权重相同标识
        } else if (active == leastActive) { // 累计相同最小的活跃数
            leastIndexs[leastCount++] = i; // 累计相同最小活跃数下标
            totalWeight += weight; // 累计总权重
            // 判断所有权重是否一样
            if (sameWeight && i > 0
                    && weight != firstWeight) {
                sameWeight = false;
            }
        }
    }
    // assert(leastCount > 0)
    if (leastCount == 1) {
        // 如果只有一个最小则直接返回
        return invokers.get(leastIndexs[0]);
    }
    if (!sameWeight && totalWeight > 0) {
        // 如果权重不相同且权重大于0则按总权重数随机
        int offsetWeight = random.nextInt(totalWeight);
        // 并确定随机值落在哪个片断上
        for (int i = 0; i < leastCount; i++) {
            int leastIndex = leastIndexs[i];
            offsetWeight -= getWeight(invokers.get(leastIndex), invocation);
            if (offsetWeight <= 0)
                return invokers.get(leastIndex);
        }
    }
    // 如果权重相同或权重为0则均等随机
    return invokers.get(leastIndexs[random.nextInt(leastCount)]);
}
 
开发者ID:l1325169021,项目名称:github-test,代码行数:49,代码来源:LeastActiveLoadBalance.java

示例9: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = invoker.getUrl().getMethodParameter(methodName, Constants.ACTIVES_KEY, 0);
    RpcStatus count = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName());
    if (max > 0) {
        long timeout = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.TIMEOUT_KEY, 0);
        long start = System.currentTimeMillis();
        long remain = timeout;
        int active = count.getActive();
        if (active >= max) {
            synchronized (count) {
                while ((active = count.getActive()) >= max) {
                    try {
                        //这边也有超时措施, 真是妙啊
                        count.wait(remain);
                    } catch (InterruptedException e) {
                    }
                    long elapsed = System.currentTimeMillis() - start;
                    remain = timeout - elapsed;
                    if (remain <= 0) {
                        throw new RpcException("Waiting concurrent invoke timeout in client-side for service:  "
                                               + invoker.getInterface().getName() + ", method: "
                                               + invocation.getMethodName() + ", elapsed: " + elapsed
                                               + ", timeout: " + timeout + ". concurrent invokes: " + active
                                               + ". max concurrent invoke limit: " + max);
                    }
                }
            }
        }
    }
    try {
        long begin = System.currentTimeMillis();
        RpcStatus.beginCount(url, methodName);
        try {
            Result result = invoker.invoke(invocation);
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, true);
            return result;
        } catch (RuntimeException t) {
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, false);
            throw t;
        }
    } finally {
        if(max>0){
            synchronized (count) {
                count.notify();
            } 
        }
    }
}
 
开发者ID:spccold,项目名称:dubbo-comments,代码行数:51,代码来源:ActiveLimitFilter.java

示例10: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = invoker.getUrl().getMethodParameter(methodName, Constants.ACTIVES_KEY, 0);
    RpcStatus count = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName());
    if (max > 0) {
        long timeout = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.TIMEOUT_KEY, 0);
        long start = System.currentTimeMillis();
        long remain = timeout;
        int active = count.getActive();
        if (active >= max) {
            synchronized (count) {
                while ((active = count.getActive()) >= max) {
                    try {
                        count.wait(remain);
                    } catch (InterruptedException ignore) {
                    }
                    long elapsed = System.currentTimeMillis() - start;
                    remain = timeout - elapsed;
                    if (remain <= 0) {
                        throw new RpcException("Waiting concurrent invoke timeout in client-side for service:  "
                                               + invoker.getInterface().getName() + ", method: "
                                               + invocation.getMethodName() + ", elapsed: " + elapsed
                                               + ", timeout: " + timeout + ". concurrent invokes: " + active
                                               + ". max concurrent invoke limit: " + max);
                    }
                }
            }
        }
    }
    try {
        long begin = System.currentTimeMillis();
        RpcStatus.beginCount(url, methodName);
        try {
            Result result = invoker.invoke(invocation);
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, true);
            return result;
        } catch (RuntimeException t) {
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, false);
            throw t;
        }
    } finally {
        if(max>0){
            synchronized (count) {
                count.notify();
            } 
        }
    }
}
 
开发者ID:linux-china,项目名称:dubbo3,代码行数:50,代码来源:ActiveLimitFilter.java

示例11: doSelect

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
protected <T> Invoker<T> doSelect(List<Invoker<T>> invokers, URL url, Invocation invocation) {
    int length = invokers.size(); // 总个数
    int leastActive = -1; // 最小的活跃数
    int leastCount = 0; // 相同最小活跃数的个数
    int[] leastIndexs = new int[length]; // 相同最小活跃数的下标
    int totalWeight = 0; // 总权重
    int firstWeight = 0; // 第一个权重,用于于计算是否相同
    boolean sameWeight = true; // 是否所有权重相同
    for (int i = 0; i < length; i++) {
    	Invoker<T> invoker = invokers.get(i);
        int active = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName()).getActive(); // 活跃数
        int weight = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.WEIGHT_KEY, Constants.DEFAULT_WEIGHT); // 权重
        if (leastActive == -1 || active < leastActive) { // 如果是初始情况下或者某台机器的active数量小于现在保存的leastActive数量,就会重新开始
            leastActive = active; // 记录最小活跃数
            leastCount = 1; // 重新统计相同最小活跃数的个数
            leastIndexs[0] = i; // 重新记录最小活跃数下标
            totalWeight = weight; // 重新累计总权重
            firstWeight = weight; // 记录第一个权重
            sameWeight = true; // 还原权重相同标识
        } else if (active == leastActive) { // 累计相同最小的活跃数
            leastIndexs[leastCount ++] = i; // 累计相同最小活跃数下标
            totalWeight += weight; // 累计总权重
            // 判断所有权重是否一样
            if (sameWeight && i > 0 
                    && weight != firstWeight) {
                sameWeight = false;
            }
        }
    }
    // assert(leastCount > 0)
    if (leastCount == 1) {
        // 如果只有一个最小则直接返回
        return invokers.get(leastIndexs[0]);
    }
    if (! sameWeight && totalWeight > 0) {
        // 如果权重不相同且权重大于0则按总权重数随机
        int offsetWeight = random.nextInt(totalWeight);
        // 并确定随机值落在哪个片断上
        for (int i = 0; i < leastCount; i++) {
            int leastIndex = leastIndexs[i];
            offsetWeight -= getWeight(invokers.get(leastIndex), invocation);
            if (offsetWeight <= 0)
                return invokers.get(leastIndex);
        }
    }
    // 如果权重相同或权重为0则均等随机
    return invokers.get(leastIndexs[random.nextInt(leastCount)]);
}
 
开发者ID:DoubleSmile,项目名称:dubbo-learning,代码行数:49,代码来源:LeastActiveLoadBalance.java

示例12: invoke

import com.alibaba.dubbo.rpc.RpcStatus; //导入依赖的package包/类
public Result invoke(Invoker<?> invoker, Invocation invocation) throws RpcException {
    URL url = invoker.getUrl();
    String methodName = invocation.getMethodName();
    int max = invoker.getUrl().getMethodParameter(methodName, Constants.ACTIVES_KEY, 0);
    //主要记录每台机器针对某个方法的并发数量
    RpcStatus count = RpcStatus.getStatus(invoker.getUrl(), invocation.getMethodName());
    if (max > 0) {
        long timeout = invoker.getUrl().getMethodParameter(invocation.getMethodName(), Constants.TIMEOUT_KEY, 0);
        long start = System.currentTimeMillis();
        long remain = timeout;
        int active = count.getActive();
        if (active >= max) {
            synchronized (count) {
                //这个while循环是必要的,因为在一次wait结束后,可能线程调用已经结束了,腾出来consumer的空间
                while ((active = count.getActive()) >= max) {
                    try {
                        count.wait(remain);
                    } catch (InterruptedException e) {
                    }
                    //如果wait方法被中断的话,remain这时候有可能大于0
                    //如果其中一个线程运行结束自后调用notify方法的话,也有可能remain大于0
                    long elapsed = System.currentTimeMillis() - start;
                    remain = timeout - elapsed;
                    if (remain <= 0) {
                        throw new RpcException("Waiting concurrent invoke timeout in client-side for service:  "
                                               + invoker.getInterface().getName() + ", method: "
                                               + invocation.getMethodName() + ", elapsed: " + elapsed
                                               + ", timeout: " + timeout + ". concurrent invokes: " + active
                                               + ". max concurrent invoke limit: " + max);
                    }
                }
            }
        }
    }
    try {
        //调用开始和结束后增减并发数量
        long begin = System.currentTimeMillis();
        RpcStatus.beginCount(url, methodName);
        try {
            Result result = invoker.invoke(invocation);
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, true);
            return result;
        } catch (RuntimeException t) {
            RpcStatus.endCount(url, methodName, System.currentTimeMillis() - begin, false);
            throw t;
        }
    } finally {
        if(max>0){
            synchronized (count) {
                count.notify();
            } 
        }
    }
}
 
开发者ID:DoubleSmile,项目名称:dubbo-learning,代码行数:55,代码来源:ActiveLimitFilter.java


注:本文中的com.alibaba.dubbo.rpc.RpcStatus类示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。