.Net 4 中巨大的性能差异背后的原因是什么

我只是在对红黑树进行一些研究。我知道.Net 4.0 中的 SortedSet 类使用 RedBlack 树。因此，我使用 Reflector 取出该部分并创建了一个 RedBlackTree 类。现在我正在这个 RedBlackTree 和 SortedSet 上运行一些性能测试，插入 40000 个连续整数值（从 0 到 39999），我惊讶地发现存在巨大的性能差异，如下所示：

 RBTree    took 9.27208   sec to insert 40000 values 
 SortedSet took 0.0253097 sec to insert 40000 values

其背后的原因是什么？顺便说一句，我仅在发布配置中运行了测试，这是小测试代码

            var stopWatch = new Stopwatch();
            var rbT = new RedBlackTree<int>();      
        stopWatch = new Stopwatch();
        stopWatch.Start();
        for (int i = 0; i < 40000; i++) {
            rbT.Add(i);
        }
        stopWatch.Stop();
        Console.WriteLine(stopWatch.Elapsed);

        var ss = new SortedSet<int>();
        stopWatch = new Stopwatch();
        stopWatch.Start();
        for (int i = 0; i < 40000; i++) {
            ss.Add(i);
        }
        stopWatch.Stop();
        Console.WriteLine(stopWatch.Elapsed);

Edit

我想分享我提取的 RBTree 代码，以便您也可以运行诊断

public class Node<T>
    {
        public Node(){}

        public Node(T value)
        {
            Item = value;
        }       

        public Node(T value, bool isRed)
        {
            Item = value;
            IsRed = isRed;
        }

        public T Item;
        public Node<T> Left;
        public Node<T> Right;
        public Node<T> Parent;
        public bool IsRed;
    }

    public class RedBlackTree<T>
    {
        public RedBlackTree(){} 

        public Node<T> root;
        int count, version; 
        Comparer<T> comparer = Comparer<T>.Default;     

        public void Add(T item)
        {
            if (this.root == null)
            {
                this.root = new Node<T>(item, false);
                this.count = 1;
                this.version++;
                return;
            }

            Node<T> root = this.root;
            Node<T> node = null;
            Node<T> grandParent = null;
            Node<T> greatGrandParent = null;
            this.version++;

            int num = 0;
            while (root != null)
            {
                num = this.comparer.Compare(item, root.Item);
                if (num == 0)
                {
                    this.root.IsRed = false;
                    return;
                }
                if (Is4Node(root))
                {
                    Split4Node(root);
                    if (IsRed(node))
                    {
                        this.InsertionBalance(root, ref node, grandParent, greatGrandParent);
                    }
                }
                greatGrandParent = grandParent;
                grandParent = node;
                node = root;
                root = (num < 0) ? root.Left : root.Right;
            }
            Node<T> current = new Node<T>(item);
            if (num > 0)
            {
                node.Right = current;
            }
            else
            {
                node.Left = current;
            }
            if (node.IsRed)
            {
                this.InsertionBalance(current, ref node, grandParent, greatGrandParent);
            }
            this.root.IsRed = false;
            this.count++;
        }


        private static bool IsRed(Node<T> node)
        {
            return ((node != null) && node.IsRed);
        }

        private static bool Is4Node(Node<T> node)
        {
            return (IsRed(node.Left) && IsRed(node.Right));
        }

        private static void Split4Node(Node<T> node)
        {
            node.IsRed = true;
            node.Left.IsRed = false;
            node.Right.IsRed = false;
        }

        private void InsertionBalance(Node<T> current, ref Node<T> parent, Node<T> grandParent, Node<T> greatGrandParent)
        {
            Node<T> node;
            bool flag = grandParent.Right == parent;
            bool flag2 = parent.Right == current;
            if (flag == flag2)
            {
                node = flag2 ? RotateLeft(grandParent) : RotateRight(grandParent);
            }
            else
            {
                node = flag2 ? RotateLeftRight(grandParent) : RotateRightLeft(grandParent);
                parent = greatGrandParent;
            }
            grandParent.IsRed = true;
            node.IsRed = false;
            ReplaceChildOfNodeOrRoot(greatGrandParent, grandParent, node);
        }

        private static Node<T> RotateLeft(Node<T> node)
        {
            Node<T> right = node.Right;
            node.Right = right.Left;
            right.Left = node;
            return right;
        }

        private static Node<T> RotateRight(Node<T> node)
        {
            Node<T> left = node.Left;
            node.Left = left.Right;
            left.Right = node;
            return left;
        }

        private static Node<T> RotateLeftRight(Node<T> node)
        {
            Node<T> left = node.Left;
            Node<T> right = left.Right;
            node.Left = right.Right;
            right.Right = node;
            left.Right = right.Left;
            right.Left = left;
            return right;
        }

        private static Node<T> RotateRightLeft(Node<T> node)
        {
            Node<T> right = node.Right;
            Node<T> left = right.Left;
            node.Right = left.Left;
            left.Left = node;
            right.Left = left.Right;
            left.Right = right;
            return left;
        }

        private void ReplaceChildOfNodeOrRoot(Node<T> parent, Node<T> child, Node<T> newChild)
        {
            if (parent != null)
            {
                if (parent.Left == child)
                {
                    parent.Left = newChild;
                }
                else
                {
                    parent.Right = newChild;
                }
            }
            else
            {
                this.root = newChild;
            }
        }
    }

Edit

我对其他一些数据结构（一些由我创建*，一些来自 .net 框架**）运行了相同的诊断，这是有趣的结果

*AATree                 00:00:00.0309294
*AVLTree                00:00:00.0129743
**SortedDictionary      00:00:00.0313571
*RBTree                 00:00:09.2414156
**SortedSet             00:00:00.0241973

RBTree 与上面相同（从 SortedSet 类中剥离）。我也尝试过 400000 个值，但 RBTree 似乎永远需要，我实在不知道为什么。

你的程序中有一个错误Node<T>班级。当您调用仅采用单个值参数的构造函数时，您应该设置IsRed to true.

我认为固定的Node<T>类应该看起来像这样：

public sealed class Node<T>
{
    public T Item { get; private set; }
    public bool IsRed { get; set; }
    public Node<T> Left { get; set; }
    public Node<T> Right { get; set; }

    public Node(T value)
    {
        Item = value;
        IsRed = true;
    }

    public Node(T value, bool isRed)
    {
        Item = value;
        IsRed = isRed;
    }
}

另一种选择——我的偏好——是完全省略该构造函数并始终需要IsRed在实例化新节点时显式设置：

public sealed class Node<T>
{
    public T Item { get; private set; }
    public bool IsRed { get; set; }
    public Node<T> Left { get; set; }
    public Node<T> Right { get; set; }

    public Node(T value, bool isRed)
    {
        Item = value;
        IsRed = isRed;
    }
}

然后替换你的这一行Add方法...

Node<T> current = new Node<T>(item);

...有了这个...

Node<T> current = new Node<T>(item, true);