我怎样才能做得快呢?

当然我可以这样做:

static bool ByteArrayCompare(byte[] a1, byte[] a2)
{
    if (a1.Length != a2.Length)
        return false;

    for (int i=0; i<a1.Length; i++)
        if (a1[i]!=a2[i])
            return false;

    return true;
}

但我正在寻找一个BCL函数或一些高度优化的已证明的方法来做到这一点。

java.util.Arrays.equals((sbyte[])(Array)a1, (sbyte[])(Array)a2);

工作得很好,但这似乎不适用于x64。

注意我的快速回答。


当前回答

我在这里没有看到很多linq解决方案。

我不确定性能的影响,但我通常坚持linq作为经验法则,然后在必要时进行优化。

public bool CompareTwoArrays(byte[] array1, byte[] array2)
 {
   return !array1.Where((t, i) => t != array2[i]).Any();
 }

请注意,这只适用于它们是相同大小的数组。 一个扩展可能是这样的

public bool CompareTwoArrays(byte[] array1, byte[] array2)
 {
   if (array1.Length != array2.Length) return false;
   return !array1.Where((t, i) => t != array2[i]).Any();
 }

其他回答

你可以使用Enumerable。SequenceEqual方法。

using System;
using System.Linq;
...
var a1 = new int[] { 1, 2, 3};
var a2 = new int[] { 1, 2, 3};
var a3 = new int[] { 1, 2, 4};
var x = a1.SequenceEqual(a2); // true
var y = a1.SequenceEqual(a3); // false

如果你因为某些原因不能使用. net 3.5,你的方法是可以的。 编译器运行时环境会优化你的循环,所以你不需要担心性能。

我想到了许多显卡内置的块传输加速方法。但是这样你就必须按字节复制所有的数据,所以如果你不想在非托管和依赖硬件的代码中实现你的整个逻辑,这对你没有多大帮助……

Another way of optimization similar to the approach shown above would be to store as much of your data as possible in a long[] rather than a byte[] right from the start, for example if you are reading it sequentially from a binary file, or if you use a memory mapped file, read in data as long[] or single long values. Then, your comparison loop will only need 1/8th of the number of iterations it would have to do for a byte[] containing the same amount of data. It is a matter of when and how often you need to compare vs. when and how often you need to access the data in a byte-by-byte manner, e.g. to use it in an API call as a parameter in a method that expects a byte[]. In the end, you only can tell if you really know the use case...

简单的回答是:

    public bool Compare(byte[] b1, byte[] b2)
    {
        return Encoding.ASCII.GetString(b1) == Encoding.ASCII.GetString(b2);
    }

通过这种方式,您可以使用优化的. net字符串比较来进行字节数组比较,而不需要编写不安全的代码。这是它如何在后台完成的:

private unsafe static bool EqualsHelper(String strA, String strB)
{
    Contract.Requires(strA != null);
    Contract.Requires(strB != null);
    Contract.Requires(strA.Length == strB.Length);

    int length = strA.Length;

    fixed (char* ap = &strA.m_firstChar) fixed (char* bp = &strB.m_firstChar)
    {
        char* a = ap;
        char* b = bp;

        // Unroll the loop

        #if AMD64
            // For the AMD64 bit platform we unroll by 12 and
            // check three qwords at a time. This is less code
            // than the 32 bit case and is shorter
            // pathlength.

            while (length >= 12)
            {
                if (*(long*)a     != *(long*)b)     return false;
                if (*(long*)(a+4) != *(long*)(b+4)) return false;
                if (*(long*)(a+8) != *(long*)(b+8)) return false;
                a += 12; b += 12; length -= 12;
            }
       #else
           while (length >= 10)
           {
               if (*(int*)a != *(int*)b) return false;
               if (*(int*)(a+2) != *(int*)(b+2)) return false;
               if (*(int*)(a+4) != *(int*)(b+4)) return false;
               if (*(int*)(a+6) != *(int*)(b+6)) return false;
               if (*(int*)(a+8) != *(int*)(b+8)) return false;
               a += 10; b += 10; length -= 10;
           }
       #endif

        // This depends on the fact that the String objects are
        // always zero terminated and that the terminating zero is not included
        // in the length. For odd string sizes, the last compare will include
        // the zero terminator.
        while (length > 0)
        {
            if (*(int*)a != *(int*)b) break;
            a += 2; b += 2; length -= 2;
        }

        return (length <= 0);
    }
}

我使用附带的。net 4.7发布版本做了一些测量,没有附带调试器。我认为人们一直在使用错误的度量,因为如果你关心这里的速度,你所关心的是计算两个字节数组是否相等需要多长时间。即以字节为单位的吞吐量。

StructuralComparison :              4.6 MiB/s
for                  :            274.5 MiB/s
ToUInt32             :            263.6 MiB/s
ToUInt64             :            474.9 MiB/s
memcmp               :           8500.8 MiB/s

正如你所看到的,没有比memcmp更好的方法了,而且它快了几个数量级。简单的for循环是次优选择。我仍然不明白为什么微软不能简单地包含一个缓冲区。比较方法。

[Program.cs]:

using System;
using System.Collections;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading.Tasks;

namespace memcmp
{
    class Program
    {
        static byte[] TestVector(int size)
        {
            var data = new byte[size];
            using (var rng = new System.Security.Cryptography.RNGCryptoServiceProvider())
            {
                rng.GetBytes(data);
            }
            return data;
        }

        static TimeSpan Measure(string testCase, TimeSpan offset, Action action, bool ignore = false)
        {
            var t = Stopwatch.StartNew();
            var n = 0L;
            while (t.Elapsed < TimeSpan.FromSeconds(10))
            {
                action();
                n++;
            }
            var elapsed = t.Elapsed - offset;
            if (!ignore)
            {
                Console.WriteLine($"{testCase,-16} : {n / elapsed.TotalSeconds,16:0.0} MiB/s");
            }
            return elapsed;
        }

        [DllImport("msvcrt.dll", CallingConvention = CallingConvention.Cdecl)]
        static extern int memcmp(byte[] b1, byte[] b2, long count);

        static void Main(string[] args)
        {
            // how quickly can we establish if two sequences of bytes are equal?

            // note that we are testing the speed of different comparsion methods

            var a = TestVector(1024 * 1024); // 1 MiB
            var b = (byte[])a.Clone();

            // was meant to offset the overhead of everything but copying but my attempt was a horrible mistake... should have reacted sooner due to the initially ridiculous throughput values...
            // Measure("offset", new TimeSpan(), () => { return; }, ignore: true);
            var offset = TimeZone.Zero

            Measure("StructuralComparison", offset, () =>
            {
                StructuralComparisons.StructuralEqualityComparer.Equals(a, b);
            });

            Measure("for", offset, () =>
            {
                for (int i = 0; i < a.Length; i++)
                {
                    if (a[i] != b[i]) break;
                }
            });

            Measure("ToUInt32", offset, () =>
            {
                for (int i = 0; i < a.Length; i += 4)
                {
                    if (BitConverter.ToUInt32(a, i) != BitConverter.ToUInt32(b, i)) break;
                }
            });

            Measure("ToUInt64", offset, () =>
            {
                for (int i = 0; i < a.Length; i += 8)
                {
                    if (BitConverter.ToUInt64(a, i) != BitConverter.ToUInt64(b, i)) break;
                }
            });

            Measure("memcmp", offset, () =>
            {
                memcmp(a, b, a.Length);
            });
        }
    }
}
 using System.Linq; //SequenceEqual

 byte[] ByteArray1 = null;
 byte[] ByteArray2 = null;

 ByteArray1 = MyFunct1();
 ByteArray2 = MyFunct2();

 if (ByteArray1.SequenceEqual<byte>(ByteArray2) == true)
 {
    MessageBox.Show("Match");
 }
 else
 {
   MessageBox.Show("Don't match");
 }