public static int GetNumSubstringOccurrences(string text, string search)
{
    int num = 0;
    int pos = 0;

    if (!string.IsNullOrEmpty(text) && !string.IsNullOrEmpty(search))
    {
        while ((pos = text.IndexOf(search, pos)) > -1)
        {
            num ++;
            pos += search.Length;
        }
    }
    return num;
}

string source = "/once/upon/a/time/";
int count = 0;
foreach (char c in source) 
  if (c == '/') count++;

必须比source.Replace()本身更快。

string source = "/once/upon/a/time/";
int count = 0, n = 0;
while ((n = source.IndexOf('/', n) + 1) != 0) count++;

这是Richard Watson的答案的一个变体，char在字符串中出现的次数越多，效率就会提高一点，代码也会更少!

虽然我必须说，在没有广泛测试每个场景的情况下，我确实看到了使用以下方法的显著速度提升:

int count = 0;
for (int n = 0; n < source.Length; n++) if (source[n] == '/') count++;

字符串出现的泛型函数:

public int getNumberOfOccurencies(String inputString, String checkString)
{
    if (checkString.Length > inputString.Length || checkString.Equals("")) { return 0; }
    int lengthDifference = inputString.Length - checkString.Length;
    int occurencies = 0;
    for (int i = 0; i < lengthDifference; i++) {
        if (inputString.Substring(i, checkString.Length).Equals(checkString)) { occurencies++; i += checkString.Length - 1; } }
    return occurencies;
}

我最初的想法是这样的:

public static int CountOccurrences(string original, string substring)
{
    if (string.IsNullOrEmpty(substring))
        return 0;
    if (substring.Length == 1)
        return CountOccurrences(original, substring[0]);
    if (string.IsNullOrEmpty(original) ||
        substring.Length > original.Length)
        return 0;
    int substringCount = 0;
    for (int charIndex = 0; charIndex < original.Length; charIndex++)
    {
        for (int subCharIndex = 0, secondaryCharIndex = charIndex; subCharIndex < substring.Length && secondaryCharIndex < original.Length; subCharIndex++, secondaryCharIndex++)
        {
            if (substring[subCharIndex] != original[secondaryCharIndex])
                goto continueOuter;
        }
        if (charIndex + substring.Length > original.Length)
            break;
        charIndex += substring.Length - 1;
        substringCount++;
    continueOuter:
        ;
    }
    return substringCount;
}

public static int CountOccurrences(string original, char @char)
{
    if (string.IsNullOrEmpty(original))
        return 0;
    int substringCount = 0;
    for (int charIndex = 0; charIndex < original.Length; charIndex++)
        if (@char == original[charIndex])
            substringCount++;
    return substringCount;
}

使用替换和除法的大海捞针方法产生21秒以上，而这需要大约15.2秒。

在添加位后进行编辑，这将添加子字符串。长度- 1到charIndex(就像它应该的那样)，它在11.6秒。

编辑2:我使用了一个有26个双字符字符串的字符串，这里是更新到相同示例文本的时间:

大海捞针(OP版本):7.8秒

建议的机制:4.6秒。

编辑3:添加单个字符的大小写，它变成了1.2秒。

编辑4:作为上下文:使用了5000万次迭代。

对于任何想要使用String扩展方法的人，

以下是我使用的基于张贴的最好的答案:

public static class StringExtension
{    
    /// <summary> Returns the number of occurences of a string within a string, optional comparison allows case and culture control. </summary>
    public static int Occurrences(this System.String input, string value, StringComparison stringComparisonType = StringComparison.Ordinal)
    {
        if (String.IsNullOrEmpty(value)) return 0;

        int count    = 0;
        int position = 0;

        while ((position = input.IndexOf(value, position, stringComparisonType)) != -1)
        {
            position += value.Length;
            count    += 1;
        }

        return count;
    }

    /// <summary> Returns the number of occurences of a single character within a string. </summary>
    public static int Occurrences(this System.String input, char value)
    {
        int count = 0;
        foreach (char c in input) if (c == value) count += 1;
        return count;
    }
}