Standard Thread safe .Net Dictionary

Question

MSDN points out that mutating access to the .NET Dictionary<K,V> type is not thread safe. Is there a standard thread safe version?

Note: "No there is not" is a valid answer if it is true. In that cases (and it seem to be) I'll go off and do the lock thing.

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Almost Duplicate

What’s the best way of implementing a thread-safe Dictionary in .NET? (Not exact because I want a standard type, not something I implement my self)

Answer 1

In addition to the answer of the duplicate question, you might want to take a look at this implementation that uses ReaderWriterSlim. ReaderWriterSlim ought to infact offer some performance benefits over simple locking (which effectively uses Monitor) - definitely take a look.

Answer 2

There isn't. Consider this code, where each method/property was thread safe

if (!SFdict.Contains(key))
{
  SFdict.[key] = value;
}

athough each action could be threadsafe, the block of code has a race condition, b/c there are two method calls and two different critical sections. The only way to do it is by hand

lock(lck)
{
 if (!dict.Contains(key))
 {
   dict.[key] = value;
 }
}

Answer 3

While Hashtable is not generic, is is thread-safe so long as you use it right (one writer, multiple readers, no enumeration).

Thread Safety

To support one or more writers, all operations on the Hashtable must be done through the wrapper returned by the Synchronized method.

Enumerating through a collection is intrinsically not a thread-safe procedure. Even when a collection is synchronized, other threads could still modify the collection, which causes the enumerator to throw an exception. To guarantee thread safety during enumeration, you can either lock the collection during the entire enumeration or catch the exceptions resulting from changes made by other threads.

It is different than a dictionary though -- it will return null, not throw a KeyNotFoundException if you try to get a value that doesn't exist (so storing null values can be problematic). It's a very useful collection if you know you'll never have more than one thread trying to add a new key, and can deal with the null issue.