实例演示 C# 中 Dictionary<Key, Value> 的检索速度远远大于 hobbyList.Where(c => c.UserId == user.Id)

前言

我们知道，有时候在一些项目中，为了性能，往往会一次性加载很多条记录来进行循环处理（备注：而非列表呈现）。比如：从数据库中加载 10000 个用户，并且每个用户包含了 20  个“爱好”，在 WinForm 界面我们需要用进度条的方式实时显示每个用户处理的进度，这时候当然是一次性加载很多条记录来进行循环处理更加快速。如下图：

问题和解决方案

通常，我们会先 foreach 从数据库中加载的用户集合，然后从“爱好”集合中筛选出某个用户的所有爱好来进行处理。比如如下代码：

foreach (var userItem in userList)
{
    List<Hobby> tempHobbyList = hobbyList.Where(c => c.UserId == userItem.Id).ToList();
    foreach (var hobbyItem in tempHobbyList)
    {
        string hobbyName = hobbyItem.HobbyName;
        //...其它的代码
    }
}

如下图，我们编写了如上面的代码来进行实际测试，结果发现，当 userList 足够多、或者 hobbyList 足够多，或者 userList、hobbyList 同时都足够多时，性能会大大的降低，这时候就需要我们改变方式，采用先把 hobbyList 安装 userId 进行分组（GroupBy）变成 Dictionary<int, List<Hobby>>，然后在 userList 的循环体中直接从 Dictionary<int, List<Hobby>> 从检索，这样性能会大大提高。

实际测试

namespace ConsAppTest
{
    class User
    {
        public int Id { get; set; }
        public string Name { get; set; }
        public int? Age { get; set; }
    }

    class Hobby
    {
        public int HobbyId { get; set; }
        public string HobbyName { get; set; }
        public int UserId { get; set; }
    }

    class Program
    {
        private const int UserCountForNew = ;
        private const int HobbyCountForEveryUser = ;

        private static async Task Main(string[] args)
        {
            string messageTemplate = $"产生 { UserCountForNew } 个虚拟用户，并且每个虚拟用户产生了 { HobbyCountForEveryUser } 个“爱好”共耗时 {{0}} 秒。";

            //下面是方案1 - 开始
            Stopwatch globalWatch1 = Stopwatch.StartNew();
            List<User> userList1;
            List<Hobby> hobbyList1;
            CreateUserListAndHobbyList(out userList1, out hobbyList1);
            globalWatch1.Stop();
            double totalSeconds1 = (double)globalWatch1.ElapsedMilliseconds / ;
            Console.WriteLine(messageTemplate, totalSeconds1.ToString("#.##"));

            Stopwatch stage1Watch = Stopwatch.StartNew();
            foreach (var userItem in userList1)
            {
                List<Hobby> tempHobbyList = hobbyList1.Where(c => c.UserId == userItem.Id).ToList();
                foreach (var hobbyItem in tempHobbyList)
                {
                    string hobbyName = hobbyItem.HobbyName;
                }
            }
            stage1Watch.Stop();
            double stage1WatchTotalSeconds = (double)stage1Watch.ElapsedMilliseconds / ;
            Console.WriteLine("方案1总耗时：{0}\n\n", stage1WatchTotalSeconds.ToString("#.##"));
            //下面是方案1 - 结束

            //下面是方案2 - 开始
            Stopwatch globalWatch2 = Stopwatch.StartNew();
            List<User> userList2;
            List<Hobby> hobbyList2;
            CreateUserListAndHobbyList(out userList2, out hobbyList2);
            globalWatch2.Stop();
            double totalSeconds2 = (double)globalWatch2.ElapsedMilliseconds / ;
            Console.WriteLine(messageTemplate, totalSeconds2.ToString("#.##"));

            Stopwatch stage2Watch = Stopwatch.StartNew();
            foreach (var userItem in userList2)
            {
                List<Hobby> tempHobbyList = hobbyList2.Where(c => c.UserId == userItem.Id).ToList();
                foreach (var hobbyItem in tempHobbyList)
                {
                    string hobbyName = hobbyItem.HobbyName;
                }
                hobbyList2.RemoveAll(c => c.UserId == userItem.Id);
            }
            stage2Watch.Stop();
            double stage2WatchTotalSeconds = (double)stage2Watch.ElapsedMilliseconds / ;
            Console.WriteLine("方案2总耗时：{0}\n\n", stage2WatchTotalSeconds.ToString("#.##"));
            //下面是方案2 - 结束

            //下面是方案3 - 开始
            Stopwatch globalWatch3 = Stopwatch.StartNew();
            List<User> userList3;
            List<Hobby> hobbyList3;
            CreateUserListAndHobbyList(out userList3, out hobbyList3);
            globalWatch3.Stop();
            double totalSeconds3 = (double)globalWatch3.ElapsedMilliseconds / ;
            Console.WriteLine(messageTemplate, totalSeconds3.ToString("#.##"));

            Stopwatch stage3Watch = Stopwatch.StartNew();
            Dictionary<int, List<Hobby>> keyValuePairs = hobbyList3.GroupBy<Hobby, int>(c => c.UserId).ToDictionary(c => c.Key, c => c.ToList());
            foreach (var userItem in userList3)
            {
                List<Hobby> tempHobbyList = keyValuePairs[userItem.Id];
                foreach (var hobbyItem in tempHobbyList)
                {
                    string hobbyName = hobbyItem.HobbyName;
                }
            }
            stage3Watch.Stop();
            double stage3WatchTotalSeconds = (double)stage3Watch.ElapsedMilliseconds / ;
            Console.WriteLine("方案3总耗时：{0}\n\n", stage3WatchTotalSeconds.ToString("#.##"));

            //下面是方案3 - 结束

            Console.ReadLine();

        }

        private static void CreateUserListAndHobbyList(out List<User> rightUserList, out List<Hobby> rightHobbyList)
        {
            List<User> userList = new List<User>();
            List<Hobby> hobbyList = new List<Hobby>();
            int hobbyIndex = ;
            for (int i = ; i <= UserCountForNew; i++)
            {
                int userId = i;
                userList.Add(new User { Id = userId, Name = "张三" + userId, Age = userId });
                for (int j = ; j < HobbyCountForEveryUser; j++)
                {
                    hobbyIndex++;
                    hobbyList.Add(new Hobby
                    {
                        HobbyId = hobbyIndex,
                        HobbyName = "唱歌" + hobbyIndex,
                        UserId = userId
                    });
                }
            }
            rightUserList = userList;
            rightHobbyList = hobbyList;
        }

    }
}

运行截图

结论

最终，我们看到，这三种方案，每种方案都产生 6000 个虚拟用户，并且每个虚拟用户产生了 20 个“爱好”。第一二种方案检索的速度要 8秒、9秒左右，而第三种方案从 Dictionary<int, List<Hobby>> 中检索只需要 0.01 到 0.02 秒，可谓是性能大大提升。

谢谢浏览！