Performance of expression trees

Question

My current understanding is that \'hard coded\' code like this:

public int Add(int x, int y) {return x + y;}

will always perform better tha

Answer 1

C# 6.0 now allows you to do this:

public int Add(int x, int y) => x + y;

instead of:

public int Add(int x, int y) {return x + y;}

See Method Expressions and Property Expressions

Answer 2

Compilation

The call to Expression.Compile goes through exactly the same process as any other .NET code your application contains in the sense that:

• IL code is generated
• IL code is JIT-ted to machine code

(the parsing step is skipped because an Expression Tree is already created and does not have to be generated from the input code)

You can look at the source code of the expression compiler to verify that indeed, IL code is generated.

Optimization

Please be aware that almost all of the optimization done by the CLR is done in the JIT step, not from compiling C# source code. This optimization will also be done when compiling the IL code from your lambda delegate to machine code.

Your example

In your example you are comparing apples & oranges. The first example is a method definition, the second example is runtime code that creates a method, compiles and executes it. The time it takes to create/compile the method is much longer than actually executing it. However you can keep an instance of the compiled method after creation. When you have done that, the performance of your generated method should be identical to that of the original C# method.

Consider this case:

private static int AddMethod(int a, int b)
{
    return a + b;
}

Func<int, int, int> add1 = (a, b) => a + b;
Func<int, int, int> add2 = AddMethod;

var x = Expression.Parameter(typeof (int));
var y = Expression.Parameter(typeof (int));
var additionExpr = Expression.Add(x, y);
Func<int, int, int> add3 = 
              Expression.Lambda<Func<int, int, int>>(
                  additionExpr, x, y).Compile();
//the above steps cost a lot of time, relatively.

//performance of these three should be identical
add1(1, 2);
add2(1, 2);
add3(1, 2);

So the conclusion one might draw is: IL code is IL code, no matter how it is generated, and Linq Expressions generate IL code.

Answer 3

Your Add function probably compiles to some function overhead (if not inlined) and a single add instruction. Doesn't get any faster than that.

Even constructing this expression tree is going to be orders of magnitude slower. Compiling a new function for each invocation is going to be incredibly expensive compared to the direct C# implementation.

Try compiling the function just once and storing it somewhere.

Answer 4

Trying to understand why my build and compiled lambda runs slightly slower than "just delegate" (I think I will need create new SO question for it) I've found this thread and have decided to check the performance using BenchmarkDotNet. Surprise for me: there build manually and compiled lambda is quickest. And yes -there is stable difference between methods.

Results:

BenchmarkDotNet=v0.10.5, OS=Windows 10.0.14393
Processor=Intel Core i5-2500K CPU 3.30GHz (Sandy Bridge), ProcessorCount=4
Frequency=3233539 Hz, Resolution=309.2587 ns, Timer=TSC
  [Host] : Clr 4.0.30319.42000, 64bit RyuJIT-v4.6.1648.0
  Clr    : Clr 4.0.30319.42000, 64bit RyuJIT-v4.6.1648.0
  Core   : .NET Core 4.6.25009.03, 64bit RyuJIT


         Method |  Job | Runtime |      Mean |     Error |    StdDev |    Median |       Min |        Max | Rank | Allocated |
--------------- |----- |-------- |----------:|----------:|----------:|----------:|----------:|-----------:|-----:|----------:|
     AddBuilded |  Clr |     Clr | 0.8826 ns | 0.0278 ns | 0.0232 ns | 0.8913 ns | 0.8429 ns |  0.9195 ns |    1 |       0 B |
      AddLambda |  Clr |     Clr | 1.5077 ns | 0.0226 ns | 0.0212 ns | 1.4986 ns | 1.4769 ns |  1.5395 ns |    2 |       0 B |
 AddLambdaConst |  Clr |     Clr | 6.4535 ns | 0.0454 ns | 0.0425 ns | 6.4439 ns | 6.4030 ns |  6.5323 ns |    3 |       0 B |
     AddBuilded | Core |    Core | 0.8993 ns | 0.0249 ns | 0.0233 ns | 0.8908 ns | 0.8777 ns |  0.9506 ns |    1 |       0 B |
      AddLambda | Core |    Core | 1.5105 ns | 0.0241 ns | 0.0201 ns | 1.5094 ns | 1.4731 ns |  1.5396 ns |    2 |       0 B |
 AddLambdaConst | Core |    Core | 9.3849 ns | 0.2237 ns | 0.5693 ns | 9.6577 ns | 8.3455 ns | 10.0590 ns |    4 |       0 B |

I can't make any conclusions from this, it can be difference in IL code or JIT compiler impact.

Code:

    static BenchmarkLambdaSimple()
    {
        addLambda = (a, b) => a + b;
        addLambdaConst = AddMethod;

        var x = Expression.Parameter(typeof(int));
        var y = Expression.Parameter(typeof(int));
        var additionExpr = Expression.Add(x, y);
        addBuilded =
                      Expression.Lambda<Func<int, int, int>>(
                          additionExpr, x, y).Compile();
    }
    static Func<int, int, int> addLambda;
    static Func<int, int, int> addLambdaConst;
    static Func<int, int, int> addBuilded;
    private static int AddMethod(int a, int b)
    {
        return a + b;
    }

    [Benchmark]
    public int AddBuilded()
    {
        return addBuilded(1, 2);
    }

    [Benchmark]
    public int AddLambda()
    {
        return addLambda(1, 2);
    }

    [Benchmark]
    public int AddLambdaConst()
    {
        return addLambdaConst(1, 2);
    }

Answer 5

OK, I have written a little test (probably needs scrutinisation by you experts) but its seems as if expression trees are the fastest (add3), followed by add2 and then add1!

using System;
using System.Diagnostics;
using System.Linq.Expressions;

namespace ExpressionTreeTest
{
    class Program
    {
        static void Main()
        {
            Func<int, int, int> add1 = (a, b) => a + b;
            Func<int, int, int> add2 = AddMethod;

            var x = Expression.Parameter(typeof(int));
            var y = Expression.Parameter(typeof(int));
            var additionExpr = Expression.Add(x, y);
            var add3 = Expression.Lambda<Func<int, int, int>>(
                              additionExpr, x, y).Compile();


            TimingTest(add1, "add1", 1000000);
            TimingTest(add2, "add2", 1000000);
            TimingTest(add3, "add3", 1000000);
        }

        private static void TimingTest(Func<int, int, int> addMethod, string testMethod, int numberOfAdditions)
        {
            var sw = new Stopwatch();
            sw.Start();
            for (var c = 0; c < numberOfAdditions; c++)
            {
               addMethod(1, 2);              
            }
            sw.Stop();
           Console.WriteLine("Total calculation time {1}: {0}", sw.Elapsed, testMethod);
        }

        private static int AddMethod(int a, int b)
        {
            return a + b;
        }
    }
}

My results debug mode:

Total calculation time add1: 00:00:00.0134612
Total calculation time add2: 00:00:00.0133916
Total calculation time add3: 00:00:00.0053629

My results release mode:

Total calculation time add1: 00:00:00.0026172
Total calculation time add2: 00:00:00.0027046
Total calculation time add3: 00:00:00.0014334