I assumed lambda functions, delegates and anonymous functions with the same body would have the same “speed”, however, running the following simple program:
static void Main(string[] args)
{
List<int> items = new List<int>();
Random random = new Random();
for (int i = 0; i < 10000000; i++)
{
items.Add(random.Next());
}
Stopwatch watch;
IEnumerable<int> result;
Func<int, bool> @delegate = delegate(int i)
{
return i < 500;
};
watch = Stopwatch.StartNew();
result = items.Where(@delegate);
watch.Stop();
Console.WriteLine("Delegate: {0}", watch.Elapsed.TotalMilliseconds);
Func<int, bool> lambda = i => i < 500;
watch = Stopwatch.StartNew();
result = items.Where(lambda);
watch.Stop();
Console.WriteLine("Lambda: {0}", watch.Elapsed.TotalMilliseconds);
watch = Stopwatch.StartNew();
result = items.Where(i => i < 500);
watch.Stop();
Console.WriteLine("Inline: {0}", watch.Elapsed.TotalMilliseconds);
Console.ReadLine();
}
I get:
Delegate: 4.2948 ms
Lambda: 0.0019 ms
Anonymous: 0.0034 ms
Although negligible, why are these three – apparently identical – methods running at different speeds? What’s happening under the hood?
Update:
As suggested by the comments, the following “forces” the Where by calling ToList() on it. In addition, a loop is added to offer more run data:
while (true)
{
List<int> items = new List<int>();
Random random = new Random();
for (int i = 0; i < 10000000; i++)
{
items.Add(random.Next());
}
Stopwatch watch;
IEnumerable<int> result;
Func<int, bool> @delegate = delegate(int i)
{
return i < 500;
};
watch = Stopwatch.StartNew();
result = items.Where(@delegate).ToList();
watch.Stop();
Console.WriteLine("Delegate: {0}", watch.Elapsed.TotalMilliseconds);
Func<int, bool> lambda = i => i < 500;
watch = Stopwatch.StartNew();
result = items.Where(lambda).ToList();
watch.Stop();
Console.WriteLine("Lambda: {0}", watch.Elapsed.TotalMilliseconds);
watch = Stopwatch.StartNew();
result = items.Where(i => i < 500).ToList();
watch.Stop();
Console.WriteLine("Inline: {0}", watch.Elapsed.TotalMilliseconds);
Console.WriteLine(new string('-', 12));
}
The above code results in ~120 ms for each function.
A lambda expression is an anonymous function. “Anonymous function” refers to either a lambda expression or an anonymous method (which is what you’ve called a “delegate” in your code).
All three operations are using delegates. The second and third are both using lambda expressions. All three will execute in the same way, with the same performance characteristics.
Note that there can be a difference in performance between:
and
It depends on whether the compiler is able to cache the delegate created by the lambda expression. That will in turn depend on whether it captures variables etc.
For example, consider this code:
The compiler is smart, but there’s still a difference. Using Reflector, we can see that
AllocateInLoopis effectively compiled to:So still only a single delegate instance is created, but there’s extra logic within the loop – an extra nullity test on each iteration, basically.
On my machine that makes about a 15% difference in performance.