在.NET中，GetHashCode方法在整个.NET基类库的许多地方都使用。正确执行它对于在集合中或确定相等时快速查找项目尤为重要。
对于如何为自定义类实现GetHashCode，是否有标准算法或最佳实践，以便不会降低性能？
当前回答
我在使用上面选择的实现时遇到了浮点和小数的问题。
此测试失败（浮点数；哈希值相同，即使我将2个值切换为负值）：
var obj1 = new { A = 100m, B = 100m, C = 100m, D = 100m};
var obj2 = new { A = 100m, B = 100m, C = -100m, D = -100m};
var hash1 = ComputeHash(obj1.A, obj1.B, obj1.C, obj1.D);
var hash2 = ComputeHash(obj2.A, obj2.B, obj2.C, obj2.D);
Assert.IsFalse(hash1 == hash2, string.Format("Hashcode values should be different hash1:{0} hash2:{1}",hash1,hash2));
但是这个测试通过了（int）：
var obj1 = new { A = 100m, B = 100m, C = 100, D = 100};
var obj2 = new { A = 100m, B = 100m, C = -100, D = -100};
var hash1 = ComputeHash(obj1.A, obj1.B, obj1.C, obj1.D);
var hash2 = ComputeHash(obj2.A, obj2.B, obj2.C, obj2.D);
Assert.IsFalse(hash1 == hash2, string.Format("Hashcode values should be different hash1:{0} hash2:{1}",hash1,hash2));
我改变了我的实现，不再对原始类型使用GetHashCode，它似乎工作得更好
private static int InternalComputeHash(params object[] obj)
{
unchecked
{
var result = (int)SEED_VALUE_PRIME;
for (uint i = 0; i < obj.Length; i++)
{
var currval = result;
var nextval = DetermineNextValue(obj[i]);
result = (result * MULTIPLIER_VALUE_PRIME) + nextval;
}
return result;
}
}
private static int DetermineNextValue(object value)
{
unchecked
{
int hashCode;
if (value is short
|| value is int
|| value is byte
|| value is sbyte
|| value is uint
|| value is ushort
|| value is ulong
|| value is long
|| value is float
|| value is double
|| value is decimal)
{
return Convert.ToInt32(value);
}
else
{
return value != null ? value.GetHashCode() : 0;
}
}
}
其他回答
这是我使用JonSkeet实现的助手类。
public static class HashCode
{
public const int Start = 17;
public static int Hash<T>(this int hash, T obj)
{
var h = EqualityComparer<T>.Default.GetHashCode(obj);
return unchecked((hash * 31) + h);
}
}
用法：
public override int GetHashCode()
{
return HashCode.Start
.Hash(_field1)
.Hash(_field2)
.Hash(_field3);
}
如果要避免为System.Int32编写扩展方法：
public readonly struct HashCode
{
private readonly int _value;
public HashCode(int value) => _value = value;
public static HashCode Start { get; } = new HashCode(17);
public static implicit operator int(HashCode hash) => hash._value;
public HashCode Hash<T>(T obj)
{
var h = EqualityComparer<T>.Default.GetHashCode(obj);
return unchecked(new HashCode((_value * 31) + h));
}
public override int GetHashCode() => _value;
}
它仍然避免了任何堆分配，使用方式完全相同：
public override int GetHashCode()
{
// This time `HashCode.Start` is not an `Int32`, it's a `HashCode` instance.
// And the result is implicitly converted to `Int32`.
return HashCode.Start
.Hash(_field1)
.Hash(_field2)
.Hash(_field3);
}
编辑（2018年5月）：EqualityComparer＜T＞。默认getter现在是JIT内在的-Stephen Toub在这篇博文中提到了pull请求。
与夜编码器的解决方案非常相似，只是如果你想提高素数更容易。
PS：这是你嘴里吐出一点东西的时候之一，因为你知道这可以用9个默认值重构成一个方法，但它会更慢，所以你闭上眼睛，试着忘掉它。
/// <summary>
/// Try not to look at the source code. It works. Just rely on it.
/// </summary>
public static class HashHelper
{
private const int PrimeOne = 17;
private const int PrimeTwo = 23;
public static int GetHashCode<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10>(T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5, T6 arg6, T7 arg7, T8 arg8, T9 arg9, T10 arg10)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
hash = hash * PrimeTwo + arg5.GetHashCode();
hash = hash * PrimeTwo + arg6.GetHashCode();
hash = hash * PrimeTwo + arg7.GetHashCode();
hash = hash * PrimeTwo + arg8.GetHashCode();
hash = hash * PrimeTwo + arg9.GetHashCode();
hash = hash * PrimeTwo + arg10.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3, T4, T5, T6, T7, T8, T9>(T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5, T6 arg6, T7 arg7, T8 arg8, T9 arg9)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
hash = hash * PrimeTwo + arg5.GetHashCode();
hash = hash * PrimeTwo + arg6.GetHashCode();
hash = hash * PrimeTwo + arg7.GetHashCode();
hash = hash * PrimeTwo + arg8.GetHashCode();
hash = hash * PrimeTwo + arg9.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3, T4, T5, T6, T7, T8>(T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5, T6 arg6, T7 arg7, T8 arg8)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
hash = hash * PrimeTwo + arg5.GetHashCode();
hash = hash * PrimeTwo + arg6.GetHashCode();
hash = hash * PrimeTwo + arg7.GetHashCode();
hash = hash * PrimeTwo + arg8.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3, T4, T5, T6, T7>(T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5, T6 arg6, T7 arg7)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
hash = hash * PrimeTwo + arg5.GetHashCode();
hash = hash * PrimeTwo + arg6.GetHashCode();
hash = hash * PrimeTwo + arg7.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3, T4, T5, T6>(T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5, T6 arg6)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
hash = hash * PrimeTwo + arg5.GetHashCode();
hash = hash * PrimeTwo + arg6.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3, T4, T5>(T1 arg1, T2 arg2, T3 arg3, T4 arg4, T5 arg5)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
hash = hash * PrimeTwo + arg5.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3, T4>(T1 arg1, T2 arg2, T3 arg3, T4 arg4)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
hash = hash * PrimeTwo + arg4.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2, T3>(T1 arg1, T2 arg2, T3 arg3)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
hash = hash * PrimeTwo + arg3.GetHashCode();
return hash;
}
}
public static int GetHashCode<T1, T2>(T1 arg1, T2 arg2)
{
unchecked
{
int hash = PrimeOne;
hash = hash * PrimeTwo + arg1.GetHashCode();
hash = hash * PrimeTwo + arg2.GetHashCode();
return hash;
}
}
}
这是我的哈希码助手。它的优点是它使用泛型类型参数，因此不会导致装箱：
public static class HashHelper
{
public static int GetHashCode<T1, T2>(T1 arg1, T2 arg2)
{
unchecked
{
return 31 * arg1.GetHashCode() + arg2.GetHashCode();
}
}
public static int GetHashCode<T1, T2, T3>(T1 arg1, T2 arg2, T3 arg3)
{
unchecked
{
int hash = arg1.GetHashCode();
hash = 31 * hash + arg2.GetHashCode();
return 31 * hash + arg3.GetHashCode();
}
}
public static int GetHashCode<T1, T2, T3, T4>(T1 arg1, T2 arg2, T3 arg3,
T4 arg4)
{
unchecked
{
int hash = arg1.GetHashCode();
hash = 31 * hash + arg2.GetHashCode();
hash = 31 * hash + arg3.GetHashCode();
return 31 * hash + arg4.GetHashCode();
}
}
public static int GetHashCode<T>(T[] list)
{
unchecked
{
int hash = 0;
foreach (var item in list)
{
hash = 31 * hash + item.GetHashCode();
}
return hash;
}
}
public static int GetHashCode<T>(IEnumerable<T> list)
{
unchecked
{
int hash = 0;
foreach (var item in list)
{
hash = 31 * hash + item.GetHashCode();
}
return hash;
}
}
/// <summary>
/// Gets a hashcode for a collection for that the order of items
/// does not matter.
/// So {1, 2, 3} and {3, 2, 1} will get same hash code.
/// </summary>
public static int GetHashCodeForOrderNoMatterCollection<T>(
IEnumerable<T> list)
{
unchecked
{
int hash = 0;
int count = 0;
foreach (var item in list)
{
hash += item.GetHashCode();
count++;
}
return 31 * hash + count.GetHashCode();
}
}
/// <summary>
/// Alternative way to get a hashcode is to use a fluent
/// interface like this:<br />
/// return 0.CombineHashCode(field1).CombineHashCode(field2).
/// CombineHashCode(field3);
/// </summary>
public static int CombineHashCode<T>(this int hashCode, T arg)
{
unchecked
{
return 31 * hashCode + arg.GetHashCode();
}
}
此外，它还具有扩展方法来提供流畅的界面，因此您可以这样使用它：
public override int GetHashCode()
{
return HashHelper.GetHashCode(Manufacturer, PartN, Quantity);
}
或者像这样：
public override int GetHashCode()
{
return 0.CombineHashCode(Manufacturer)
.CombineHashCode(PartN)
.CombineHashCode(Quantity);
}
我在使用上面选择的实现时遇到了浮点和小数的问题。
此测试失败（浮点数；哈希值相同，即使我将2个值切换为负值）：
var obj1 = new { A = 100m, B = 100m, C = 100m, D = 100m};
var obj2 = new { A = 100m, B = 100m, C = -100m, D = -100m};
var hash1 = ComputeHash(obj1.A, obj1.B, obj1.C, obj1.D);
var hash2 = ComputeHash(obj2.A, obj2.B, obj2.C, obj2.D);
Assert.IsFalse(hash1 == hash2, string.Format("Hashcode values should be different hash1:{0} hash2:{1}",hash1,hash2));
但是这个测试通过了（int）：
var obj1 = new { A = 100m, B = 100m, C = 100, D = 100};
var obj2 = new { A = 100m, B = 100m, C = -100, D = -100};
var hash1 = ComputeHash(obj1.A, obj1.B, obj1.C, obj1.D);
var hash2 = ComputeHash(obj2.A, obj2.B, obj2.C, obj2.D);
Assert.IsFalse(hash1 == hash2, string.Format("Hashcode values should be different hash1:{0} hash2:{1}",hash1,hash2));
我改变了我的实现，不再对原始类型使用GetHashCode，它似乎工作得更好
private static int InternalComputeHash(params object[] obj)
{
unchecked
{
var result = (int)SEED_VALUE_PRIME;
for (uint i = 0; i < obj.Length; i++)
{
var currval = result;
var nextval = DetermineNextValue(obj[i]);
result = (result * MULTIPLIER_VALUE_PRIME) + nextval;
}
return result;
}
}
private static int DetermineNextValue(object value)
{
unchecked
{
int hashCode;
if (value is short
|| value is int
|| value is byte
|| value is sbyte
|| value is uint
|| value is ushort
|| value is ulong
|| value is long
|| value is float
|| value is double
|| value is decimal)
{
return Convert.ToInt32(value);
}
else
{
return value != null ? value.GetHashCode() : 0;
}
}
}
在Equals（）比较多个字段的大多数情况下，GetHash（）对一个字段或多个字段进行散列并不重要。您只需确保计算哈希值非常便宜（请不要分配）和快速（没有繁重的计算，当然也没有数据库连接），并提供良好的分布。
重型起吊应是Equals（）方法的一部分；哈希应该是一个非常便宜的操作，以便能够对尽可能少的项目调用Equal（）。
最后一个提示：不要依赖GetHashCode（）在多个应用程序运行中保持稳定。许多.Net类型不能保证它们的哈希代码在重新启动后保持不变，因此只能对内存中的数据结构使用GetHashCode（）的值。
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