Okay, to build on my previous question: Generically checking for null that won't box nullables on a non-constrained type.
One user suggested putting a constraint for class and for struct and I also implemented the UnboxT
pattern of specializing for the three types and storing that logic in delegates. I was also told to try using OfType<T>
.
Here are my methods:
public static class Check<T>
{
public static readonly Func<T,bool> IfNull = CreateIfNullDelegate();
private static bool AlwaysFalse(T obj)
{
return false;
}
private static bool ForRefType(T obj)
{
return object.ReferenceEquals(obj, null);
}
private static bool ForNullable<Tu>(Tu? obj) where Tu:struct
{
return !obj.HasValue;
}
private static Func<T,bool> CreateIfNullDelegate()
{
if (!typeof(T).IsValueType)
return ForRefType;
else
{
Type underlying;
if ((underlying = Nullable.GetUnderlyingType(typeof(T))) != null)
{
return Delegate.CreateDelegate(
typeof(Func<T,bool>),
typeof(Check<T>)
.GetMethod("ForNullable",BindingFlags.NonPublic | BindingFlags.Static)
.MakeGenericMethod(underlying)
) as Func<T,bool>;
}
else
{
return AlwaysFalse;
}
}
}
}
public static int CountNonNull<T>(this IEnumerable<T> enumerable) where T:class
{
return enumerable.Count(x=>Object.ReferenceEquals(x,null));
}
public static int CountNonNull<T>(this IEnumerable<T?> enumerable) where T : struct
{
return enumerable.Count(x=>x!=null);
}
public static int CountNonNull3<T>(this IEnumerable<T> enumerable)
{
return enumerable.OfType<T>().Count();
}
public static int CountNonNull2<T>(this IEnumerable<T> enumerable)
{
return enumerable.Count(Check<T>.IfNull);
}
public static void Profile(this Action action, string name, int times = 1 * 1000 * 1000, bool display = true)
{
for (int i = 0; i < 100; i++)
{
action();
}
var _stopwatch = Stopwatch.StartNew();
for (int i = 0; i < times; i++)
{
action();
}
_stopwatch.Stop();
if (display)
{
Console.WriteLine("{0}: did {1} iterations in {2} ms", name, times, _stopwatch.ElapsedMilliseconds);
}
}
And here are 开发者_运维百科my test sets:
var ints = Enumerable.Range(0,10).ToArray();
var nullableInts = Array.ConvertAll(ints,x=>x as int?);
var strings = Array.ConvertAll(ints,x => x.ToString());
Profile(() => nullableInts.CountNonNull(), "int?");
Profile(() => strings.CountNonNull(), "strings");
Profile(() => nullableInts.CountNonNull2(), "int? 2");
Profile(() => strings.CountNonNull2(), "strings 2");
Profile(() => nullableInts.CountNonNull3(), "int? 3");
Profile(() => strings.CountNonNull3(), "strings 3");
And here are my results:
int?: did 1000000 iterations in 188 ms
strings: did 1000000 iterations in 2346 ms
int? 2: did 1000000 iterations in 180 ms
strings 2: did 1000000 iterations in 147 ms
int? 3: did 1000000 iterations in 4120 ms
strings 3: did 1000000 iterations in 859 ms
The OfType<T>
being slow makes sense at has to do an is
then a cast. Which means it has to do two loops through the collections to determine its results (although int?
time is pretty hard to believe).
But the first and the second approach both are performing the same predicates. Why does the first one perform so slowly on strings, where as the second one performs like a champ?
Edit: for extra craziness: Adding another method to the trial:
public static int CountNonNull4(this System.Collections.IEnumerable enumerable)
{
return enumerable.Cast<object>().Count(x => object.ReferenceEquals(x, null));
}
This version yields:
strings 4: did 1000000 iterations in 677 ms
This makes almost no sense. What is going on?
You realize that StopWatch doesn't take actual thread activity into account, right? It's the equivalent of timing your commute to work in the morning; there are a lot of things that could impede your progress by varying amounts from day to day (a light you catch one day that stops you the next, traffic jams, etc).
The analogy holds pretty well in the computer; the OS could have interrupted your thread to do something else, your thread could have had to wait for page file operations (expansion, swapping), etc. Try running each algorithm 2 or 3 times and average the times. Also, make sure your application is running in FullTrust, which bypasses all security (but not runtime integrity) permission checks. Lastly, if you can somehow multithread this profiler, you can obtain metrics about the actual number of cycles the algorithm needed from the CPU, which will be independent of thread scheduling delays.
It's the call to enumerable.Count
. When I increase the size of the array by 1000 and decrease the iterations of the performance test by 1000, they perform almost the same and I get the following results:
int?: did 1000 iterations in 488 ms
strings: did 1000 iterations in 437 ms
With this test, the string version is actually faster.
The reason for this, it seems, is that for the struct
version, the compiler can inline the call to enumerable.Count
. However, for the class
version, it generates the IL below. Explanations are in the code.
.method public hidebysig static int32 CountNonNull<class T>(class [mscorlib]System.Collections.Generic.IEnumerable`1<!!T> enumerable) cil managed
{
.custom instance void [System.Core]System.Runtime.CompilerServices.ExtensionAttribute::.ctor() = ( 01 00 00 00 )
.maxstack 4
.locals init ([0] int32 CS$1$0000)
IL_0000: nop
IL_0001: ldarg.0
IL_0002: ldnull
// Push the lambda for ReferenceEquals onto the stack.
IL_0003: ldftn bool ConsoleApplication7.Program::'<CountNonNull>b__8'<!!0>(!!0)
// Create a new delegate for the lambda.
IL_0009: newobj instance void class [mscorlib]System.Func`2<!!T,bool>::.ctor(object,
native int)
// Call the Count Linq method.
IL_000e: call int32 [System.Core]System.Linq.Enumerable::Count<!!0>(class [mscorlib]System.Collections.Generic.IEnumerable`1<!!0>,
class [mscorlib]System.Func`2<!!0,bool>)
IL_0013: stloc.0
IL_0014: br.s IL_0016
IL_0016: ldloc.0
IL_0017: ret
}
For the struct
version, it doesn't have to do any of this and it just inlines something like this:
var enumerator = enumerable.GetEnumerator();
int result = 0;
try
{
while (true)
{
var current = enumerator.Current;
if (current.HasValue)
result++;
if (!enumerator.MoveNext())
break;
}
}
finally
{
enumerator.Dispose();
}
This is of course much faster than the IL for the class
version.
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