C# 对象池的实现(能限制最大实例数量，类似于WCF的MaxInstanceCount功能)

对象池服务可以减少从头创建每个对象的系统开销。在激活对象时，它从池中提取。在停用对象时，它放回池中，等待下一个请求。
我们来看下主线程中，如何与对象池打交道：

static void Main(string[] args)
        {
            InstancePoolResolver.Register<OrderQueryServiceInterface, OrderQueryService>();

            while (true)
            {
                Thread.Sleep(2000);
                Console.Clear();

                for (int i = 0; i < 20;i++ )
                {
                    ThreadPool.QueueUserWorkItem(new WaitCallback(ConsumeObject));
                }
            }
        }

        private static void ConsumeObject(object state)
        {
            OrderQueryServiceInterface srv = null;
            try
            {
                using (srv = InstancePoolResolver.Resolve<OrderQueryServiceInterface>())  //从对象池中取得对象，没有可用对象则throw exception
                {
                    Console.WriteLine("Object ID--->" + srv.GetHashCode());
                    Thread.Sleep(1000);  //故意长时间占用对象
                }
            }
            catch (Exception ex)
            {
                Console.WriteLine(ex.Message);
            }
            finally
            {
                if (srv != null)
                    srv.Dispose();
            }
        }

 运行效果：

最多只有2个instance，那在哪里设置这个数量呢？请看

是通过Attribute打tag上去的

下面来看看最核心的InstancePoolResolver类

public sealed class InstancePoolResolver
    {
        private static Dictionary<Type, Type> typeMappers = new Dictionary<Type, Type>();
        private static Dictionary<Type, int> typeMappersMaxInstanceCount = new Dictionary<Type, int>();
        private static Dictionary<Type, List<PoolableObject>> typeInstances = new Dictionary<Type, List<PoolableObject>>();

        private static object o4lock = new object();
        public static void Register<T, TProvider>()
            where TProvider : class, new()
        {
            if (typeMappers.ContainsKey(typeof(T)))
                throw new Exception("Key existed");
            
            lock (o4lock)
            {
                Type t = typeof(T);
                typeMappers.Add(t, typeof(TProvider));
                typeInstances.Add(t, new List<PoolableObject>());

                InstanceSettingAttribute setting = GetInstanceSettingAttribute(typeof(TProvider));
                typeMappersMaxInstanceCount.Add(t, setting.MaxInstanceGlobal);
            }
        }

        public static T Resolve<T>()
            where T: PoolableObject
        {
            Type t = typeof(T);
            if (!typeMappers.ContainsKey(t) || !typeInstances.ContainsKey(t))
                throw new Exception("Key empty, register please");

            lock (o4lock)
            {
                List<PoolableObject> instances = typeInstances[t];
                if (instances == null)
                {
                    instances = new List<PoolableObject>();
                    typeInstances[t] = instances;
                }
                foreach (PoolableObject o in instances)//是否已经存在已有闲置对象
                {
                    if (o.IsInPool)
                    {
                        o.IsInPool = false;
                        return (T)o;
                    }
                }
                if (instances.Count < typeMappersMaxInstanceCount[t])//new新对象到对象池中
                {
                    Type type = typeMappers[t];
                    PoolableObject obj = (PoolableObject)Activator.CreateInstance(type);
                    instances.Add(obj);
                    obj.IsInPool = false;
                    return (T)obj;
                }
            }
            throw new Exception("Object Pool fulled!"); //没有多余的资源
        }

        private static InstanceSettingAttribute GetInstanceSettingAttribute(Type type)
        {
            object[] attrs = type.GetCustomAttributes(typeof(InstanceSettingAttribute), false);
            if (attrs == null || attrs.Count() == 0)
                return new InstanceSettingAttribute() {  MaxInstanceGlobal=10};

            return (InstanceSettingAttribute)attrs[0];
        }
    }

其实很简单，只是多了个获取Attribute的函数