NameValueCollection支持一个键(也是字符串)下的多个字符串值，但这是我所知道的唯一一个例子。

当我遇到需要这种功能的情况时，我倾向于创建类似于您示例中的结构。

“滚动您自己的”版本的字典，允许“重复键”条目，这很容易。下面是一个粗略的简单实现。您可能需要考虑添加对dictionary <T>的基本大部分(如果不是全部)的支持。

public class MultiMap<TKey,TValue>
{
    private readonly Dictionary<TKey,IList<TValue>> storage;

    public MultiMap()
    {
        storage = new Dictionary<TKey,IList<TValue>>();
    }

    public void Add(TKey key, TValue value)
    {
        if (!storage.ContainsKey(key)) storage.Add(key, new List<TValue>());
        storage[key].Add(value);
    }

    public IEnumerable<TKey> Keys
    {
        get { return storage.Keys; }
    }

    public bool ContainsKey(TKey key)
    {
        return storage.ContainsKey(key);
    }

    public IList<TValue> this[TKey key]
    {
        get
        {
            if (!storage.ContainsKey(key))
                throw new KeyNotFoundException(
                    string.Format(
                        "The given key {0} was not found in the collection.", key));
            return storage[key];
        }
    }
}

一个关于如何使用它的简单例子:

const string key = "supported_encodings";
var map = new MultiMap<string,Encoding>();
map.Add(key, Encoding.ASCII);
map.Add(key, Encoding.UTF8);
map.Add(key, Encoding.Unicode);

foreach (var existingKey in map.Keys)
{
    var values = map[existingKey];
    Console.WriteLine(string.Join(",", values));
}

如果同时使用字符串作为键和值，则可以使用System.Collections.Specialized。它将通过GetValues(string key)方法返回一个字符串值数组。

你可以创建自己的字典包装器，就像这样，作为奖励，它支持空值作为键:

/// <summary>
/// Dictionary which supports duplicates and null entries
/// </summary>
/// <typeparam name="TKey">Type of key</typeparam>
/// <typeparam name="TValue">Type of items</typeparam>
public class OpenDictionary<TKey, TValue>
{
    private readonly Lazy<List<TValue>> _nullStorage = new Lazy<List<TValue>>(
        () => new List<TValue>());

    private readonly Dictionary<TKey, List<TValue>> _innerDictionary =
        new Dictionary<TKey, List<TValue>>();

    /// <summary>
    /// Get all entries
    /// </summary>
    public IEnumerable<TValue> Values =>
        _innerDictionary.Values
            .SelectMany(x => x)
            .Concat(_nullStorage.Value);

    /// <summary>
    /// Add an item
    /// </summary>
    public OpenDictionary<TKey, TValue> Add(TKey key, TValue item)
    {
        if (ReferenceEquals(key, null))
            _nullStorage.Value.Add(item);
        else
        {
            if (!_innerDictionary.ContainsKey(key))
                _innerDictionary.Add(key, new List<TValue>());

            _innerDictionary[key].Add(item);
        }

        return this;
    }

    /// <summary>
    /// Remove an entry by key
    /// </summary>
    public OpenDictionary<TKey, TValue> RemoveEntryByKey(TKey key, TValue entry)
    {
        if (ReferenceEquals(key, null))
        {
            int targetIdx = _nullStorage.Value.FindIndex(x => x.Equals(entry));
            if (targetIdx < 0)
                return this;

            _nullStorage.Value.RemoveAt(targetIdx);
        }
        else
        {
            if (!_innerDictionary.ContainsKey(key))
                return this;

            List<TValue> targetChain = _innerDictionary[key];
            if (targetChain.Count == 0)
                return this;

            int targetIdx = targetChain.FindIndex(x => x.Equals(entry));
            if (targetIdx < 0)
                return this;

            targetChain.RemoveAt(targetIdx);
        }

        return this;
    }

    /// <summary>
    /// Remove all entries by key
    /// </summary>
    public OpenDictionary<TKey, TValue> RemoveAllEntriesByKey(TKey key)
    {
        if (ReferenceEquals(key, null))
        {
            if (_nullStorage.IsValueCreated)
                _nullStorage.Value.Clear();
        }       
        else
        {
            if (_innerDictionary.ContainsKey(key))
                _innerDictionary[key].Clear();
        }

        return this;
    }

    /// <summary>
    /// Try get entries by key
    /// </summary>
    public bool TryGetEntries(TKey key, out IReadOnlyList<TValue> entries)
    {
        entries = null;

        if (ReferenceEquals(key, null))
        {
            if (_nullStorage.IsValueCreated)
            {
                entries = _nullStorage.Value;
                return true;
            }
            else return false;
        }
        else
        {
            if (_innerDictionary.ContainsKey(key))
            {
                entries = _innerDictionary[key];
                return true;
            }
            else return false;
        }
    }
}

用法示例:

var dictionary = new OpenDictionary<string, int>();
dictionary.Add("1", 1); 
// The next line won't throw an exception; 
dictionary.Add("1", 2);

dictionary.TryGetEntries("1", out List<int> result); 
// result is { 1, 2 }

dictionary.Add(null, 42);
dictionary.Add(null, 24);
dictionary.TryGetEntries(null, out List<int> result); 
// result is { 42, 24 }

我将@Hector Correa的答案更改为具有泛型类型的扩展，并添加了一个自定义TryGetValue。

  public static class ListWithDuplicateExtensions
  {
    public static void Add<TKey, TValue>(this List<KeyValuePair<TKey, TValue>> collection, TKey key, TValue value)
    {
      var element = new KeyValuePair<TKey, TValue>(key, value);
      collection.Add(element);
    }

    public static int TryGetValue<TKey, TValue>(this List<KeyValuePair<TKey, TValue>> collection, TKey key, out IEnumerable<TValue> values)
    {
      values = collection.Where(pair => pair.Key.Equals(key)).Select(pair => pair.Value);
      return values.Count();
    }
  }

你是说完全一致而不是完全重复吗?否则哈希表将无法工作。

同余意味着两个单独的键可以哈希到等价的值，但键不相等。

例如:假设你的哈希表的哈希函数是hashval = key mod 3。1和4都映射到1，但是是不同的值。这就是列表的概念发挥作用的地方。

当需要查找1时，该值被哈希为1，遍历列表，直到找到Key = 1。

如果允许插入重复的键，则无法区分哪些键映射到哪些值。