What's the best way of implementing a thread-safe Dictionary?
Solution 1:
The .NET 4.0 class that supports concurrency is named ConcurrentDictionary
.
Solution 2:
Attempting to synchronize internally will almost certainly be insufficient because it's at too low a level of abstraction. Say you make the Add
and ContainsKey
operations individually thread-safe as follows:
public void Add(TKey key, TValue value)
{
lock (this.syncRoot)
{
this.innerDictionary.Add(key, value);
}
}
public bool ContainsKey(TKey key)
{
lock (this.syncRoot)
{
return this.innerDictionary.ContainsKey(key);
}
}
Then what happens when you call this supposedly thread-safe bit of code from multiple threads? Will it always work OK?
if (!mySafeDictionary.ContainsKey(someKey))
{
mySafeDictionary.Add(someKey, someValue);
}
The simple answer is no. At some point the Add
method will throw an exception indicating that the key already exists in the dictionary. How can this be with a thread-safe dictionary, you might ask? Well just because each operation is thread-safe, the combination of two operations is not, as another thread could modify it between your call to ContainsKey
and Add
.
Which means to write this type of scenario correctly you need a lock outside the dictionary, e.g.
lock (mySafeDictionary)
{
if (!mySafeDictionary.ContainsKey(someKey))
{
mySafeDictionary.Add(someKey, someValue);
}
}
But now, seeing as you're having to write externally locking code, you're mixing up internal and external synchronisation, which always leads to problems such as unclear code and deadlocks. So ultimately you're probably better to either:
Use a normal
Dictionary<TKey, TValue>
and synchronize externally, enclosing the compound operations on it, orWrite a new thread-safe wrapper with a different interface (i.e. not
IDictionary<T>
) that combines the operations such as anAddIfNotContained
method so you never need to combine operations from it.
(I tend to go with #1 myself)
Solution 3:
As Peter said, you can encapsulate all of the thread safety inside the class. You will need to be careful with any events you expose or add, making sure that they get invoked outside of any locks.
public class SafeDictionary<TKey, TValue>: IDictionary<TKey, TValue>
{
private readonly object syncRoot = new object();
private Dictionary<TKey, TValue> d = new Dictionary<TKey, TValue>();
public void Add(TKey key, TValue value)
{
lock (syncRoot)
{
d.Add(key, value);
}
OnItemAdded(EventArgs.Empty);
}
public event EventHandler ItemAdded;
protected virtual void OnItemAdded(EventArgs e)
{
EventHandler handler = ItemAdded;
if (handler != null)
handler(this, e);
}
// more IDictionary members...
}
Edit: The MSDN docs point out that enumerating is inherently not thread safe. That can be one reason for exposing a synchronization object outside your class. Another way to approach that would be to provide some methods for performing an action on all members and lock around the enumerating of the members. The problem with this is that you don't know if the action passed to that function calls some member of your dictionary (that would result in a deadlock). Exposing the synchronization object allows the consumer to make those decisions and doesn't hide the deadlock inside your class.
Solution 4:
You shouldn't publish your private lock object through a property. The lock object should exist privately for the sole purpose of acting as a rendezvous point.
If performance proves to be poor using the standard lock then Wintellect's Power Threading collection of locks can be very useful.
Solution 5:
There are several problems with implementation method you are describing.
- You shouldn't ever expose your synchronization object. Doing so will open up yourself to a consumer grabbing the object and taking a lock on it and then you're toast.
- You're implementing a non-thread safe interface with a thread safe class. IMHO this will cost you down the road
Personally, I've found the best way to implement a thread safe class is via immutability. It really reduces the number of problems you can run into with thread safety. Check out Eric Lippert's Blog for more details.