I need a HashSet that preserves insertion ordering, are there any implementations of this in the framework?
You can get this functionality easily using KeyedCollection<TKey,TItem> specifying the same type argument for TKey and TItem:
public class OrderedHashSet<T> : KeyedCollection<T, T>
{
protected override T GetKeyForItem(T item)
{
return item;
}
}
If you need constant complexity of Add
, Remove
, Contains
and order preservation, then there's no such collection in .NET Framework 4.5.
If you're okay with 3rd party code, take a look at my repository (permissive MIT license): https://github.com/OndrejPetrzilka/Rock.Collections
There's OrderedHashSet<T>
collection:
HashSet<T>
source code (from .NET Core)HashSet<T>
Add
and Remove
operations are 20% slower compared to HashSet<T>
Standard .NET HashSet
do not preserve the insertion order.
For simple tests the insertion order may be preserved due to an accident, but it's not guaranteed and would not always work that way. To prove that it is enough to do some removals in between.
See this question for more information on that: Does HashSet preserve insertion order?
I have briefly implemented a HashSet
which guarantees insertion order. It uses the Dictionary
to look up items and the LinkedList
to preserve order. All three insertion, removal and lookup work still in O(1).
public class OrderedSet<T> : ICollection<T>
{
private readonly IDictionary<T, LinkedListNode<T>> m_Dictionary;
private readonly LinkedList<T> m_LinkedList;
public OrderedSet()
: this(EqualityComparer<T>.Default)
{
}
public OrderedSet(IEqualityComparer<T> comparer)
{
m_Dictionary = new Dictionary<T, LinkedListNode<T>>(comparer);
m_LinkedList = new LinkedList<T>();
}
public int Count
{
get { return m_Dictionary.Count; }
}
public virtual bool IsReadOnly
{
get { return m_Dictionary.IsReadOnly; }
}
void ICollection<T>.Add(T item)
{
Add(item);
}
public bool Add(T item)
{
if (m_Dictionary.ContainsKey(item)) return false;
LinkedListNode<T> node = m_LinkedList.AddLast(item);
m_Dictionary.Add(item, node);
return true;
}
public void Clear()
{
m_LinkedList.Clear();
m_Dictionary.Clear();
}
public bool Remove(T item)
{
LinkedListNode<T> node;
bool found = m_Dictionary.TryGetValue(item, out node);
if (!found) return false;
m_Dictionary.Remove(item);
m_LinkedList.Remove(node);
return true;
}
public IEnumerator<T> GetEnumerator()
{
return m_LinkedList.GetEnumerator();
}
IEnumerator IEnumerable.GetEnumerator()
{
return GetEnumerator();
}
public bool Contains(T item)
{
return m_Dictionary.ContainsKey(item);
}
public void CopyTo(T[] array, int arrayIndex)
{
m_LinkedList.CopyTo(array, arrayIndex);
}
}