In .NET, the GetHashCode method is used in a lot of places throughout the .NET base class libraries. Implementing it properly is especially important to find items quickly in a collection or when determining equality.
Is there a standard algorithm or best practice on how to implement GetHashCode for my custom classes so I don't degrade performance?
I usually go with something like the implementation given in Josh Bloch's fabulous Effective Java. It's fast and creates a pretty good hash which is unlikely to cause collisions. Pick two different prime numbers, e.g. 17 and 23, and do:
public override int GetHashCode()
{
unchecked // Overflow is fine, just wrap
{
int hash = 17;
// Suitable nullity checks etc, of course :)
hash = hash * 23 + field1.GetHashCode();
hash = hash * 23 + field2.GetHashCode();
hash = hash * 23 + field3.GetHashCode();
return hash;
}
}
As noted in comments, you may find it's better to pick a large prime to multiply by instead. Apparently 486187739 is good... and although most examples I've seen with small numbers tend to use primes, there are at least similar algorithms where non-prime numbers are often used. In the not-quite-FNV example later, for example, I've used numbers which apparently work well - but the initial value isn't a prime. (The multiplication constant is prime though. I don't know quite how important that is.)
This is better than the common practice of XORing hashcodes for two main reasons. Suppose we have a type with two int fields:
XorHash(x, x) == XorHash(y, y) == 0 for all x, y
XorHash(x, y) == XorHash(y, x) for all x, y
By the way, the earlier algorithm is the one currently used by the C# compiler for anonymous types.
This page gives quite a few options. I think for most cases the above is "good enough" and it's incredibly easy to remember and get right. The FNV alternative is similarly simple, but uses different constants and XOR instead of ADD as a combining operation. It looks something like the code below, but the normal FNV algorithm operates on individual bytes, so this would require modifying to perform one iteration per byte, instead of per 32-bit hash value. FNV is also designed for variable lengths of data, whereas the way we're using it here is always for the same number of field values. Comments on this answer suggest that the code here doesn't actually work as well (in the sample case tested) as the addition approach above.
// Note: Not quite FNV!
public override int GetHashCode()
{
unchecked // Overflow is fine, just wrap
{
int hash = (int) 2166136261;
// Suitable nullity checks etc, of course :)
hash = (hash * 16777619) ^ field1.GetHashCode();
hash = (hash * 16777619) ^ field2.GetHashCode();
hash = (hash * 16777619) ^ field3.GetHashCode();
return hash;
}
}
Note that one thing to be aware of is that ideally you should prevent your equality-sensitive (and thus hashcode-sensitive) state from changing after adding it to a collection that depends on the hash code.
As per the documentation:
You can override GetHashCode for immutable reference types. In general, for mutable reference types, you should override GetHashCode only if:
- You can compute the hash code from fields that are not mutable; or
- You can ensure that the hash code of a mutable object does not change while the object is contained in a collection that relies on its hash code.
The link to the FNV article is broken but here is a copy in the Internet Archive: Eternally Confuzzled - The Art of Hashing
As @cactuaroid mentions in the comments, a value tuple can be used. This saves a few keystrokes and more importantly executes purely on the stack (no Garbage):
(PropA, PropB, PropC, PropD).GetHashCode();
(Note: The original technique using anonymous types seems to create an object on the heap, i.e. garbage, since anonymous types are implemented as classes, though this might be optimized out by the compiler. It would be interesting to benchmark these options, but the tuple option should be superior.)
Microsoft already provides a good generic HashCode generator: Just copy your property/field values to an anonymous type and hash it:
new { PropA, PropB, PropC, PropD }.GetHashCode();
This will work for any number of properties. It does not use boxing. It just uses the algorithm already implemented in the framework for anonymous types.
System.HashCodeIf you are using .NET Standard 2.1 or above, you can use the System.HashCode struct. On earlier frameworks it is available from the Microsoft.Bcl.HashCode package. There are two methods of using it:
The Combine method can be used to create a hash code, given up to eight objects.
public override int GetHashCode() => HashCode.Combine(this.object1, this.object2);
The Add method helps you to deal with collections:
public override int GetHashCode()
{
var hashCode = new HashCode();
hashCode.Add(this.object1);
foreach (var item in this.collection)
{
hashCode.Add(item);
}
return hashCode.ToHashCode();
}
An alternative to System.HashCode that is super easy to use while still being fast. You can read the full blog post 'GetHashCode Made Easy' for more details and comments.
public class SuperHero
{
public int Age { get; set; }
public string Name { get; set; }
public List<string> Powers { get; set; }
public override int GetHashCode() =>
HashCode.Of(this.Name).And(this.Age).AndEach(this.Powers);
}
public struct HashCode : IEquatable<HashCode>
{
private const int EmptyCollectionPrimeNumber = 19;
private readonly int value;
private HashCode(int value) => this.value = value;
public static implicit operator int(HashCode hashCode) => hashCode.value;
public static bool operator ==(HashCode left, HashCode right) => left.Equals(right);
public static bool operator !=(HashCode left, HashCode right) => !(left == right);
public static HashCode Of<T>(T item) => new HashCode(GetHashCode(item));
public static HashCode OfEach<T>(IEnumerable<T> items) =>
items == null ? new HashCode(0) : new HashCode(GetHashCode(items, 0));
public HashCode And<T>(T item) =>
new HashCode(CombineHashCodes(this.value, GetHashCode(item)));
public HashCode AndEach<T>(IEnumerable<T> items)
{
if (items == null)
{
return new HashCode(this.value);
}
return new HashCode(GetHashCode(items, this.value));
}
public bool Equals(HashCode other) => this.value.Equals(other.value);
public override bool Equals(object obj)
{
if (obj is HashCode)
{
return this.Equals((HashCode)obj);
}
return false;
}
public override int GetHashCode() => this.value.GetHashCode();
private static int CombineHashCodes(int h1, int h2)
{
unchecked
{
// Code copied from System.Tuple a good way to combine hashes.
return ((h1 << 5) + h1) ^ h2;
}
}
private static int GetHashCode<T>(T item) => item?.GetHashCode() ?? 0;
private static int GetHashCode<T>(IEnumerable<T> items, int startHashCode)
{
var temp = startHashCode;
var enumerator = items.GetEnumerator();
if (enumerator.MoveNext())
{
temp = CombineHashCodes(temp, GetHashCode(enumerator.Current));
while (enumerator.MoveNext())
{
temp = CombineHashCodes(temp, GetHashCode(enumerator.Current));
}
}
else
{
temp = CombineHashCodes(temp, EmptyCollectionPrimeNumber);
}
return temp;
}
}
The algorithm that calculates a hash code needs to be fast. A simple algorithm is usually going to be a faster one. One that does not allocate extra memory will also reduce need for garbage collection, which will in turn also improve performance.
In C# hash functions specifically, you often use the unchecked keyword which stops overflow checking to improve performance.
The hashing algorithm needs to be deterministic i.e. given the same input it must always produce the same output.
The algorithm that calculates a hash code needs to keep hash collisions to a minumum. A hash collision is a situation that occurs when two calls to GetHashCode on two different objects produce identical hash codes. Note that collisions are allowed (some have the misconceptions that they are not) but they should be kept to a minimum.
A lot of hash functions contain magic numbers like 17 or 23. These are special prime numbers which due to their mathematical properties help to reduce hash collisions as compared to using non-prime numbers.
A good hash function should map the expected inputs as evenly as possible over its output range i.e. it should output a wide range of hashes based on its inputs that are evenly spread. It should have hash uniformity.
In .NET Core each time you restart an application you will get different hash codes. This is a security feature to prevent Denial of Service attacks (DoS). For .NET Framework you should enable this feature by adding the following App.config file:
<?xml version ="1.0"?>
<configuration>
<runtime>
<UseRandomizedStringHashAlgorithm enabled="1" />
</runtime>
</configuration>
Because of this feature, hash codes should never be used outside of the application domain in which they were created, they should never be used as key fields in a collection and they should never be persisted.
Read more about this here.
The algorithm does not have to be a Cryptographic hash function. Meaning it does not have to satisfy the following conditions:
Here is my hashcode helper.
It's advantage is that it uses generic type arguments and therefore will not cause boxing:
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();
}
}
Also it has extension method to provide a fluent interface, so you can use it like this:
public override int GetHashCode()
{
return HashHelper.GetHashCode(Manufacturer, PartN, Quantity);
}
or like this:
public override int GetHashCode()
{
return 0.CombineHashCode(Manufacturer)
.CombineHashCode(PartN)
.CombineHashCode(Quantity);
}
I have a Hashing class in Helper library that I use it for this purpose.
/// <summary>
/// This is a simple hashing function from Robert Sedgwicks Hashing in C book.
/// Also, some simple optimizations to the algorithm in order to speed up
/// its hashing process have been added. from: www.partow.net
/// </summary>
/// <param name="input">array of objects, parameters combination that you need
/// to get a unique hash code for them</param>
/// <returns>Hash code</returns>
public static int RSHash(params object[] input)
{
const int b = 378551;
int a = 63689;
int hash = 0;
// If it overflows then just wrap around
unchecked
{
for (int i = 0; i < input.Length; i++)
{
if (input[i] != null)
{
hash = hash * a + input[i].GetHashCode();
a = a * b;
}
}
}
return hash;
}
Then, simply you can use it as:
public override int GetHashCode()
{
return Hashing.RSHash(_field1, _field2, _field3);
}
I didn't assess its performance, so any feedback is welcomed.
Here's my helper class using Jon Skeet's implementation.
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);
}
}
Usage:
public override int GetHashCode()
{
return HashCode.Start
.Hash(_field1)
.Hash(_field2)
.Hash(_field3);
}
If you want to avoid writing an extension method for System.Int32:
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;
}
It still avoids any heap allocation and is used exactly the same way:
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);
}
Edit (May 2018): EqualityComparer<T>.Default getter is now a JIT intrinsic - the pull request is mentioned by Stephen Toub in this blog post.
In most cases where Equals() compares multiple fields it doesn't really matter if your GetHash() hashes on one field or on many. You just have to make sure that calculating the hash is really cheap (No allocations, please) and fast (No heavy computations and certainly no database connections) and provides a good distribution.
The heavy lifting should be part of the Equals() method; the hash should be a very cheap operation to enable calling Equals() on as few items as possible.
And one final tip: Don't rely on GetHashCode() being stable over multiple aplication runs. Many .Net types don't guarantee their hash codes to stay the same after a restart, so you should only use the value of GetHashCode() for in memory data structures.
Up until recently my answer would have been very close to Jon Skeet's here. However, I recently started a project which used power-of-two hash tables, that is hash tables where the size of the internal table is 8, 16, 32, etc. There's a good reason for favouring prime-number sizes, but there are some advantages to power-of-two sizes too.
And it pretty much sucked. So after a bit of experimentation and research I started re-hashing my hashes with the following:
public static int ReHash(int source)
{
unchecked
{
ulong c = 0xDEADBEEFDEADBEEF + (ulong)source;
ulong d = 0xE2ADBEEFDEADBEEF ^ c;
ulong a = d += c = c << 15 | c >> -15;
ulong b = a += d = d << 52 | d >> -52;
c ^= b += a = a << 26 | a >> -26;
d ^= c += b = b << 51 | b >> -51;
a ^= d += c = c << 28 | c >> -28;
b ^= a += d = d << 9 | d >> -9;
c ^= b += a = a << 47 | a >> -47;
d ^= c += b << 54 | b >> -54;
a ^= d += c << 32 | c >> 32;
a += d << 25 | d >> -25;
return (int)(a >> 1);
}
}
And then my power-of-two hash table didn't suck any more.
This disturbed me though, because the above shouldn't work. Or more precisely, it shouldn't work unless the original GetHashCode() was poor in a very particular way.
Re-mixing a hashcode can't improve a great hashcode, because the only possible effect is that we introduce a few more collisions.
Re-mixing a hash code can't improve a terrible hash code, because the only possible effect is we change e.g. a large number of collisions on value 53 to a large number of value 18,3487,291.
Re-mixing a hash code can only improve a hash code that did at least fairly well in avoiding absolute collisions throughout its range (232 possible values) but badly at avoiding collisions when modulo'd down for actual use in a hash table. While the simpler modulo of a power-of-two table made this more apparent, it was also having a negative effect with the more common prime-number tables, that just wasn't as obvious (the extra work in rehashing would outweigh the benefit, but the benefit would still be there).
Edit: I was also using open-addressing, which would also have increased the sensitivity to collision, perhaps more so than the fact it was power-of-two.
And well, it was disturbing how much the string.GetHashCode() implementations in .NET (or study here) could be improved this way (on the order of tests running about 20-30 times faster due to fewer collisions) and more disturbing how much my own hash codes could be improved (much more than that).
All the GetHashCode() implementations I'd coded in the past, and indeed used as the basis of answers on this site, were much worse than I'd throught. Much of the time it was "good enough" for much of the uses, but I wanted something better.
So I put that project to one side (it was a pet project anyway) and started looking at how to produce a good, well-distributed hash code in .NET quickly.
In the end I settled on porting SpookyHash to .NET. Indeed the code above is a fast-path version of using SpookyHash to produce a 32-bit output from a 32-bit input.
Now, SpookyHash is not a nice quick to remember piece of code. My port of it is even less so because I hand-inlined a lot of it for better speed*. But that's what code reuse is for.
Then I put that project to one side, because just as the original project had produced the question of how to produce a better hash code, so that project produced the question of how to produce a better .NET memcpy.
Then I came back, and produced a lot of overloads to easily feed just about all of the native types (except decimal†) into a hash code.
It's fast, for which Bob Jenkins deserves most of the credit because his original code I ported from is faster still, especially on 64-bit machines which the algorithm is optimised for‡.
The full code can be seen at https://bitbucket.org/JonHanna/spookilysharp/src but consider that the code above is a simplified version of it.
However, since it's now already written, one can make use of it more easily:
public override int GetHashCode()
{
var hash = new SpookyHash();
hash.Update(field1);
hash.Update(field2);
hash.Update(field3);
return hash.Final().GetHashCode();
}
It also takes seed values, so if you need to deal with untrusted input and want to protect against Hash DoS attacks you can set a seed based on uptime or similar, and make the results unpredictable by attackers:
private static long hashSeed0 = Environment.TickCount;
private static long hashSeed1 = DateTime.Now.Ticks;
public override int GetHashCode()
{
//produce different hashes ever time this application is restarted
//but remain consistent in each run, so attackers have a harder time
//DoSing the hash tables.
var hash = new SpookyHash(hashSeed0, hashSeed1);
hash.Update(field1);
hash.Update(field2);
hash.Update(field3);
return hash.Final().GetHashCode();
}
*A big surprise in this is that hand-inlining a rotation method that returned (x << n) | (x >> -n) improved things. I would have been sure that the jitter would have inlined that for me, but profiling showed otherwise.
†decimal isn't native from the .NET perspective though it is from the C#. The problem with it is that its own GetHashCode() treats precision as significant while its own Equals() does not. Both are valid choices, but not mixed like that. In implementing your own version, you need to choose to do one, or the other, but I can't know which you'd want.
‡By way of comparison. If used on a string, the SpookyHash on 64 bits is considerably faster than string.GetHashCode() on 32 bits which is slightly faster than string.GetHashCode() on 64 bits, which is considerably faster than SpookyHash on 32 bits, though still fast enough to be a reasonable choice.
As of https://github.com/dotnet/coreclr/pull/14863, there is a new way to generate hash codes that is super simple! Just write
public override int GetHashCode()
=> HashCode.Combine(field1, field2, field3);
This will generate a quality hash code without you having to worry about the implementation details.
This is a good one:
/// <summary>
/// Helper class for generating hash codes suitable
/// for use in hashing algorithms and data structures like a hash table.
/// </summary>
public static class HashCodeHelper
{
private static int GetHashCodeInternal(int key1, int key2)
{
unchecked
{
var num = 0x7e53a269;
num = (-1521134295 * num) + key1;
num += (num << 10);
num ^= (num >> 6);
num = ((-1521134295 * num) + key2);
num += (num << 10);
num ^= (num >> 6);
return num;
}
}
/// <summary>
/// Returns a hash code for the specified objects
/// </summary>
/// <param name="arr">An array of objects used for generating the
/// hash code.</param>
/// <returns>
/// A hash code, suitable for use in hashing algorithms and data
/// structures like a hash table.
/// </returns>
public static int GetHashCode(params object[] arr)
{
int hash = 0;
foreach (var item in arr)
hash = GetHashCodeInternal(hash, item.GetHashCode());
return hash;
}
/// <summary>
/// Returns a hash code for the specified objects
/// </summary>
/// <param name="obj1">The first object.</param>
/// <param name="obj2">The second object.</param>
/// <param name="obj3">The third object.</param>
/// <param name="obj4">The fourth object.</param>
/// <returns>
/// A hash code, suitable for use in hashing algorithms and
/// data structures like a hash table.
/// </returns>
public static int GetHashCode<T1, T2, T3, T4>(T1 obj1, T2 obj2, T3 obj3,
T4 obj4)
{
return GetHashCode(obj1, GetHashCode(obj2, obj3, obj4));
}
/// <summary>
/// Returns a hash code for the specified objects
/// </summary>
/// <param name="obj1">The first object.</param>
/// <param name="obj2">The second object.</param>
/// <param name="obj3">The third object.</param>
/// <returns>
/// A hash code, suitable for use in hashing algorithms and data
/// structures like a hash table.
/// </returns>
public static int GetHashCode<T1, T2, T3>(T1 obj1, T2 obj2, T3 obj3)
{
return GetHashCode(obj1, GetHashCode(obj2, obj3));
}
/// <summary>
/// Returns a hash code for the specified objects
/// </summary>
/// <param name="obj1">The first object.</param>
/// <param name="obj2">The second object.</param>
/// <returns>
/// A hash code, suitable for use in hashing algorithms and data
/// structures like a hash table.
/// </returns>
public static int GetHashCode<T1, T2>(T1 obj1, T2 obj2)
{
return GetHashCodeInternal(obj1.GetHashCode(), obj2.GetHashCode());
}
}
And here is how to use it:
private struct Key
{
private Type _type;
private string _field;
public Type Type { get { return _type; } }
public string Field { get { return _field; } }
public Key(Type type, string field)
{
_type = type;
_field = field;
}
public override int GetHashCode()
{
return HashCodeHelper.GetHashCode(_field, _type);
}
public override bool Equals(object obj)
{
if (!(obj is Key))
return false;
var tf = (Key)obj;
return tf._field.Equals(_field) && tf._type.Equals(_type);
}
}
Here is another fluent implementation of the algorithm posted above by Jon Skeet, but which includes no allocations or boxing operations:
public static class Hash
{
public const int Base = 17;
public static int HashObject(this int hash, object obj)
{
unchecked { return hash * 23 + (obj == null ? 0 : obj.GetHashCode()); }
}
public static int HashValue<T>(this int hash, T value)
where T : struct
{
unchecked { return hash * 23 + value.GetHashCode(); }
}
}
Usage:
public class MyType<T>
{
public string Name { get; set; }
public string Description { get; set; }
public int Value { get; set; }
public IEnumerable<T> Children { get; set; }
public override int GetHashCode()
{
return Hash.Base
.HashObject(this.Name)
.HashObject(this.Description)
.HashValue(this.Value)
.HashObject(this.Children);
}
}
The compiler will ensure HashValue is not called with a class due to the generic type constraint. But there is no compiler support for HashObject since adding a generic argument also adds a boxing operation.
Here is my simplistic approach. I am using the classic builder pattern for this. It is typesafe (no boxing/unboxing) and also compatbile with .NET 2.0 (no extension methods etc.).
It is used like this:
public override int GetHashCode()
{
HashBuilder b = new HashBuilder();
b.AddItems(this.member1, this.member2, this.member3);
return b.Result;
}
And here is the acutal builder class:
internal class HashBuilder
{
private const int Prime1 = 17;
private const int Prime2 = 23;
private int result = Prime1;
public HashBuilder()
{
}
public HashBuilder(int startHash)
{
this.result = startHash;
}
public int Result
{
get
{
return this.result;
}
}
public void AddItem<T>(T item)
{
unchecked
{
this.result = this.result * Prime2 + item.GetHashCode();
}
}
public void AddItems<T1, T2>(T1 item1, T2 item2)
{
this.AddItem(item1);
this.AddItem(item2);
}
public void AddItems<T1, T2, T3>(T1 item1, T2 item2, T3 item3)
{
this.AddItem(item1);
this.AddItem(item2);
this.AddItem(item3);
}
public void AddItems<T1, T2, T3, T4>(T1 item1, T2 item2, T3 item3,
T4 item4)
{
this.AddItem(item1);
this.AddItem(item2);
this.AddItem(item3);
this.AddItem(item4);
}
public void AddItems<T1, T2, T3, T4, T5>(T1 item1, T2 item2, T3 item3,
T4 item4, T5 item5)
{
this.AddItem(item1);
this.AddItem(item2);
this.AddItem(item3);
this.AddItem(item4);
this.AddItem(item5);
}
public void AddItems<T>(params T[] items)
{
foreach (T item in items)
{
this.AddItem(item);
}
}
}
ReSharper users can generate GetHashCode, Equals, and others with ReSharper -> Edit -> Generate Code -> Equality Members.
// ReSharper's GetHashCode looks like this
public override int GetHashCode() {
unchecked {
int hashCode = Id;
hashCode = (hashCode * 397) ^ IntMember;
hashCode = (hashCode * 397) ^ OtherIntMember;
hashCode = (hashCode * 397) ^ (RefMember != null ? RefMember.GetHashCode() : 0);
// ...
return hashCode;
}
}
If we have no more than 8 properties (hopefully), here is another alternative.
ValueTuple is a struct and appears to have a solid GetHashCode implementation.
That means we could simply do this:
// Yay, no allocations and no custom implementations!
public override int GetHashCode() => (this.PropA, this.PropB).GetHashCode();
Let's take a look at .NET Core's current implementation for ValueTuple's GetHashCode.
This is from ValueTuple:
internal static int CombineHashCodes(int h1, int h2)
{
return HashHelpers.Combine(HashHelpers.Combine(HashHelpers.RandomSeed, h1), h2);
}
internal static int CombineHashCodes(int h1, int h2, int h3)
{
return HashHelpers.Combine(CombineHashCodes(h1, h2), h3);
}
And this is from HashHelper:
public static readonly int RandomSeed = Guid.NewGuid().GetHashCode();
public static int Combine(int h1, int h2)
{
unchecked
{
// RyuJIT optimizes this to use the ROL instruction
// Related GitHub pull request: dotnet/coreclr#1830
uint rol5 = ((uint)h1 << 5) | ((uint)h1 >> 27);
return ((int)rol5 + h1) ^ h2;
}
}
In English:
It would be nice to know more about the properties of this ROL-5 hash code algorithm.
Regrettably, deferring to ValueTuple for our own GetHashCode may not be as fast as we would like and expect. This comment in a related discussion illustrates that directly calling HashHelpers.Combine is more performant. On the flip side, that one is internal, so we'd have to copy the code, sacrificing much of what we had gained here. Also, we'd be responsible for remembering to first Combine with the random seed. I don't know what the consequences are if we skip that step.
Most of my work is done with database connectivity which means that my classes all have a unique identifier from the database. I always use the ID from the database to generate the hashcode.
// Unique ID from database
private int _id;
...
{
return _id.GetHashCode();
}
Pretty much similar to nightcoder's solution except it's easier to raise primes if you want to.
PS: This is one of those times where you puke a little in your mouth, knowing that this could be refactored into one method with 9 default's but it would be slower, so you just close your eyes and try to forget about it.
/// <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;
}
}
}
Microsoft lead for several way of hashing...
//for classes that contain a single int value
return this.value;
//for classes that contain multiple int value
return x ^ y;
//for classes that contain single number bigger than int
return ((int)value ^ (int)(value >> 32));
//for classes that contain class instance fields which inherit from object
return obj1.GetHashCode();
//for classes that contain multiple class instance fields which inherit from object
return obj1.GetHashCode() ^ obj2.GetHashCode() ^ obj3.GetHashCode();
I can guess that for multiple big int you can use this:
int a=((int)value1 ^ (int)(value1 >> 32));
int b=((int)value2 ^ (int)(value2 >> 32));
int c=((int)value3 ^ (int)(value3 >> 32));
return a ^ b ^ c;
And same for multi-type: all converted first to int using GetHashCode()
then the int values will be xor'ed and the result is your hash.
For those who use hash as ID (I mean an unique value), hash is naturally limited to a number of digits, I think it was 5 bytes for hashing algorithm, at least MD5.
You may turn multiple values to a hashed value and some of them be same, so don't use it as an identifier. (maybe some day I am going to use your component)
This is a static helper class that implements Josh Bloch's implementation; and provides explicit overloads to "prevent" boxing, and also to implement the hash specifically for the long primitives.
You can pass a string comparison that matches your equals implementation.
Because the Hash output is always an int, you can just chain Hash calls.
using System;
using System.Collections;
using System.Collections.Generic;
using System.Reflection;
using System.Runtime.CompilerServices;
namespace Sc.Util.System
{
/// <summary>
/// Static methods that allow easy implementation of hashCode. Example usage:
/// <code>
/// public override int GetHashCode()
/// => HashCodeHelper.Seed
/// .Hash(primitiveField)
/// .Hsh(objectField)
/// .Hash(iEnumerableField);
/// </code>
/// </summary>
public static class HashCodeHelper
{
/// <summary>
/// An initial value for a hashCode, to which is added contributions from fields.
/// Using a non-zero value decreases collisions of hashCode values.
/// </summary>
public const int Seed = 23;
private const int oddPrimeNumber = 37;
/// <summary>
/// Rotates the seed against a prime number.
/// </summary>
/// <param name="aSeed">The hash's first term.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private static int rotateFirstTerm(int aSeed)
{
unchecked {
return HashCodeHelper.oddPrimeNumber * aSeed;
}
}
/// <summary>
/// Contributes a boolean to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aBoolean">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, bool aBoolean)
{
unchecked {
return HashCodeHelper.rotateFirstTerm(aSeed)
+ (aBoolean
? 1
: 0);
}
}
/// <summary>
/// Contributes a char to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aChar">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, char aChar)
{
unchecked {
return HashCodeHelper.rotateFirstTerm(aSeed)
+ aChar;
}
}
/// <summary>
/// Contributes an int to the developing HashCode seed.
/// Note that byte and short are handled by this method, through implicit conversion.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aInt">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, int aInt)
{
unchecked {
return HashCodeHelper.rotateFirstTerm(aSeed)
+ aInt;
}
}
/// <summary>
/// Contributes a long to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aLong">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, long aLong)
{
unchecked {
return HashCodeHelper.rotateFirstTerm(aSeed)
+ (int)(aLong ^ (aLong >> 32));
}
}
/// <summary>
/// Contributes a float to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aFloat">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, float aFloat)
{
unchecked {
return HashCodeHelper.rotateFirstTerm(aSeed)
+ Convert.ToInt32(aFloat);
}
}
/// <summary>
/// Contributes a double to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aDouble">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, double aDouble)
=> aSeed.Hash(Convert.ToInt64(aDouble));
/// <summary>
/// Contributes a string to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aString">The value to contribute.</param>
/// <param name="stringComparison">Optional comparison that creates the hash.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(
this int aSeed,
string aString,
StringComparison stringComparison = StringComparison.Ordinal)
{
if (aString == null)
return aSeed.Hash(0);
switch (stringComparison) {
case StringComparison.CurrentCulture :
return StringComparer.CurrentCulture.GetHashCode(aString);
case StringComparison.CurrentCultureIgnoreCase :
return StringComparer.CurrentCultureIgnoreCase.GetHashCode(aString);
case StringComparison.InvariantCulture :
return StringComparer.InvariantCulture.GetHashCode(aString);
case StringComparison.InvariantCultureIgnoreCase :
return StringComparer.InvariantCultureIgnoreCase.GetHashCode(aString);
case StringComparison.OrdinalIgnoreCase :
return StringComparer.OrdinalIgnoreCase.GetHashCode(aString);
default :
return StringComparer.Ordinal.GetHashCode(aString);
}
}
/// <summary>
/// Contributes a possibly-null array to the developing HashCode seed.
/// Each element may be a primitive, a reference, or a possibly-null array.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aArray">CAN be null.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, IEnumerable aArray)
{
if (aArray == null)
return aSeed.Hash(0);
int countPlusOne = 1; // So it differs from null
foreach (object item in aArray) {
++countPlusOne;
if (item is IEnumerable arrayItem) {
if (!object.ReferenceEquals(aArray, arrayItem))
aSeed = aSeed.Hash(arrayItem); // recursive call!
} else
aSeed = aSeed.Hash(item);
}
return aSeed.Hash(countPlusOne);
}
/// <summary>
/// Contributes a possibly-null array to the developing HashCode seed.
/// You must provide the hash function for each element.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aArray">CAN be null.</param>
/// <param name="hashElement">Required: yields the hash for each element
/// in <paramref name="aArray"/>.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash<T>(this int aSeed, IEnumerable<T> aArray, Func<T, int> hashElement)
{
if (aArray == null)
return aSeed.Hash(0);
int countPlusOne = 1; // So it differs from null
foreach (T item in aArray) {
++countPlusOne;
aSeed = aSeed.Hash(hashElement(item));
}
return aSeed.Hash(countPlusOne);
}
/// <summary>
/// Contributes a possibly-null object to the developing HashCode seed.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="aObject">CAN be null.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int Hash(this int aSeed, object aObject)
{
switch (aObject) {
case null :
return aSeed.Hash(0);
case bool b :
return aSeed.Hash(b);
case char c :
return aSeed.Hash(c);
case int i :
return aSeed.Hash(i);
case long l :
return aSeed.Hash(l);
case float f :
return aSeed.Hash(f);
case double d :
return aSeed.Hash(d);
case string s :
return aSeed.Hash(s);
case IEnumerable iEnumerable :
return aSeed.Hash(iEnumerable);
}
return aSeed.Hash(aObject.GetHashCode());
}
/// <summary>
/// This utility method uses reflection to iterate all specified properties that are readable
/// on the given object, excluding any property names given in the params arguments, and
/// generates a hashcode.
/// </summary>
/// <param name="aSeed">The developing hash code, or the seed: if you have no seed, use
/// the <see cref="Seed"/>.</param>
/// <param name="aObject">CAN be null.</param>
/// <param name="propertySelector"><see cref="BindingFlags"/> to select the properties to hash.</param>
/// <param name="ignorePropertyNames">Optional.</param>
/// <returns>A hash from the properties contributed to <c>aSeed</c>.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int HashAllProperties(
this int aSeed,
object aObject,
BindingFlags propertySelector
= BindingFlags.Instance
| BindingFlags.Public
| BindingFlags.GetProperty,
params string[] ignorePropertyNames)
{
if (aObject == null)
return aSeed.Hash(0);
if ((ignorePropertyNames != null)
&& (ignorePropertyNames.Length != 0)) {
foreach (PropertyInfo propertyInfo in aObject.GetType()
.GetProperties(propertySelector)) {
if (!propertyInfo.CanRead
|| (Array.IndexOf(ignorePropertyNames, propertyInfo.Name) >= 0))
continue;
aSeed = aSeed.Hash(propertyInfo.GetValue(aObject));
}
} else {
foreach (PropertyInfo propertyInfo in aObject.GetType()
.GetProperties(propertySelector)) {
if (propertyInfo.CanRead)
aSeed = aSeed.Hash(propertyInfo.GetValue(aObject));
}
}
return aSeed;
}
/// <summary>
/// NOTICE: this method is provided to contribute a <see cref="KeyValuePair{TKey,TValue}"/> to
/// the developing HashCode seed; by hashing the key and the value independently. HOWEVER,
/// this method has a different name since it will not be automatically invoked by
/// <see cref="Hash(int,object)"/>, <see cref="Hash(int,IEnumerable)"/>,
/// or <see cref="HashAllProperties"/> --- you MUST NOT mix this method with those unless
/// you are sure that no KeyValuePair instances will be passed to those methods; or otherwise
/// the generated hash code will not be consistent. This method itself ALSO will not invoke
/// this method on the Key or Value here if that itself is a KeyValuePair.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="keyValuePair">The value to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int HashKeyAndValue<TKey, TValue>(this int aSeed, KeyValuePair<TKey, TValue> keyValuePair)
=> aSeed.Hash(keyValuePair.Key)
.Hash(keyValuePair.Value);
/// <summary>
/// NOTICE: this method is provided to contribute a collection of <see cref="KeyValuePair{TKey,TValue}"/>
/// to the developing HashCode seed; by hashing the key and the value independently. HOWEVER,
/// this method has a different name since it will not be automatically invoked by
/// <see cref="Hash(int,object)"/>, <see cref="Hash(int,IEnumerable)"/>,
/// or <see cref="HashAllProperties"/> --- you MUST NOT mix this method with those unless
/// you are sure that no KeyValuePair instances will be passed to those methods; or otherwise
/// the generated hash code will not be consistent. This method itself ALSO will not invoke
/// this method on a Key or Value here if that itself is a KeyValuePair or an Enumerable of
/// KeyValuePair.
/// </summary>
/// <param name="aSeed">The developing HashCode value or seed.</param>
/// <param name="keyValuePairs">The values to contribute.</param>
/// <returns>The new hash code.</returns>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static int HashKeysAndValues<TKey, TValue>(
this int aSeed,
IEnumerable<KeyValuePair<TKey, TValue>> keyValuePairs)
{
if (keyValuePairs == null)
return aSeed.Hash(null);
foreach (KeyValuePair<TKey, TValue> keyValuePair in keyValuePairs) {
aSeed = aSeed.HashKeyAndValue(keyValuePair);
}
return aSeed;
}
}
}
I ran into an issue with floats and decimals using the implementation selected as the answer above.
This test fails (floats; hash is the same even though I switched 2 values to be negative):
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));
But this test passes (with ints):
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));
I changed my implementation to not use GetHashCode for the primitive types and it seems to work better
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;
}
}
}
In case you want to polyfill HashCode from netstandard2.1
public static class HashCode
{
public static int Combine(params object[] instances)
{
int hash = 17;
foreach (var i in instances)
{
hash = unchecked((hash * 31) + (i?.GetHashCode() ?? 0));
}
return hash;
}
}
Note: If used with struct, it will allocate memory due to boxing
Can try to adopt approach from C++ Boost libraries. Something like this:
class HashUtil
{
public static int HashCombine(int seed, int other)
{
unchecked
{
return other + 0x9e3779b9 + (seed << 6) + (seed >> 2);
}
}
}
and then:
class MyClass
{
private string _field1;
private int _field2;
private AnotherClass _field3;
private YetAnotherClass _field4;
public override int GetHashCode()
{
int result = HashUtil.HashCombine(_field1.GetHashCode(), _field2);
result = HashUtil.HashCombine(result, _field3.GetHashCode());
return HashUtil.HashCombine(result, _field4.GetHashCode());
}
}
I want to add my newest findings to this thread I came back to so often.
My current visual studio / project setup provides the functionallity to automatically refactors tuples to structs. This will generate a GetHashCode function like so:
public override int GetHashCode()
{
int hashCode = -2088324004;
hashCode = hashCode * -1521134295 + AuftragGesperrt.GetHashCode();
hashCode = hashCode * -1521134295 + Auftrag_gesperrt_von.GetHashCode();
hashCode = hashCode * -1521134295 + Auftrag_gesperrt_am.GetHashCode();
return hashCode;
}
EDIT: to clarify AuftragGesperrt, Auftrag_gesperrt_von and Auftrag_gesperrt_am are properties. If the microsoft devs use this function its probably not too bad of a solution.
