string Name = "Very good nice one is very good but is very good nice one this is called the term";
bool valid=true;
int count = 0;
int k=0;
int m = 0;
while (valid)
{
    k = Name.Substring(m,Name.Length-m).IndexOf("good");
    if (k != -1)
    {
        count++;
        m = m + k + 4;
    }
    else
        valid = false;
}
Console.WriteLine(count + " Times accures");

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。

LINQ适用于所有的集合，因为字符串只是字符的集合，那么下面这个漂亮的小语句怎么样:

var count = source.Count(c => c == '/');

确保你使用了system。linq;在代码文件的顶部，因为. count是来自该名称空间的扩展方法。

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;
    }
}

我想我会把我的扩展方法扔到戒指(更多信息见评论)。我没有做过任何正式的基准测试，但我认为在大多数情况下必须非常快。

EDIT: OK - so this SO question got me to wondering how the performance of our current implementation would stack up against some of the solutions presented here. I decided to do a little bench marking and found that our solution was very much in line with the performance of the solution provided by Richard Watson up until you are doing aggressive searching with large strings (100 Kb +), large substrings (32 Kb +) and many embedded repetitions (10K +). At that point our solution was around 2X to 4X slower. Given this and the fact that we really like the solution presented by Richard Watson, we have refactored our solution accordingly. I just wanted to make this available for anyone that might benefit from it.

我们最初的解决方案:

    /// <summary>
    /// Counts the number of occurrences of the specified substring within
    /// the current string.
    /// </summary>
    /// <param name="s">The current string.</param>
    /// <param name="substring">The substring we are searching for.</param>
    /// <param name="aggressiveSearch">Indicates whether or not the algorithm 
    /// should be aggressive in its search behavior (see Remarks). Default 
    /// behavior is non-aggressive.</param>
    /// <remarks>This algorithm has two search modes - aggressive and 
    /// non-aggressive. When in aggressive search mode (aggressiveSearch = 
    /// true), the algorithm will try to match at every possible starting 
    /// character index within the string. When false, all subsequent 
    /// character indexes within a substring match will not be evaluated. 
    /// For example, if the string was 'abbbc' and we were searching for 
    /// the substring 'bb', then aggressive search would find 2 matches 
    /// with starting indexes of 1 and 2. Non aggressive search would find 
    /// just 1 match with starting index at 1. After the match was made, 
    /// the non aggressive search would attempt to make it's next match 
    /// starting at index 3 instead of 2.</remarks>
    /// <returns>The count of occurrences of the substring within the string.</returns>
    public static int CountOccurrences(this string s, string substring, 
        bool aggressiveSearch = false)
    {
        // if s or substring is null or empty, substring cannot be found in s
        if (string.IsNullOrEmpty(s) || string.IsNullOrEmpty(substring))
            return 0;

        // if the length of substring is greater than the length of s,
        // substring cannot be found in s
        if (substring.Length > s.Length)
            return 0;

        var sChars = s.ToCharArray();
        var substringChars = substring.ToCharArray();
        var count = 0;
        var sCharsIndex = 0;

        // substring cannot start in s beyond following index
        var lastStartIndex = sChars.Length - substringChars.Length;

        while (sCharsIndex <= lastStartIndex)
        {
            if (sChars[sCharsIndex] == substringChars[0])
            {
                // potential match checking
                var match = true;
                var offset = 1;
                while (offset < substringChars.Length)
                {
                    if (sChars[sCharsIndex + offset] != substringChars[offset])
                    {
                        match = false;
                        break;
                    }
                    offset++;
                }
                if (match)
                {
                    count++;
                    // if aggressive, just advance to next char in s, otherwise, 
                    // skip past the match just found in s
                    sCharsIndex += aggressiveSearch ? 1 : substringChars.Length;
                }
                else
                {
                    // no match found, just move to next char in s
                    sCharsIndex++;
                }
            }
            else
            {
                // no match at current index, move along
                sCharsIndex++;
            }
        }

        return count;
    }

这是我们修改后的解决方案:

    /// <summary>
    /// Counts the number of occurrences of the specified substring within
    /// the current string.
    /// </summary>
    /// <param name="s">The current string.</param>
    /// <param name="substring">The substring we are searching for.</param>
    /// <param name="aggressiveSearch">Indicates whether or not the algorithm 
    /// should be aggressive in its search behavior (see Remarks). Default 
    /// behavior is non-aggressive.</param>
    /// <remarks>This algorithm has two search modes - aggressive and 
    /// non-aggressive. When in aggressive search mode (aggressiveSearch = 
    /// true), the algorithm will try to match at every possible starting 
    /// character index within the string. When false, all subsequent 
    /// character indexes within a substring match will not be evaluated. 
    /// For example, if the string was 'abbbc' and we were searching for 
    /// the substring 'bb', then aggressive search would find 2 matches 
    /// with starting indexes of 1 and 2. Non aggressive search would find 
    /// just 1 match with starting index at 1. After the match was made, 
    /// the non aggressive search would attempt to make it's next match 
    /// starting at index 3 instead of 2.</remarks>
    /// <returns>The count of occurrences of the substring within the string.</returns>
    public static int CountOccurrences(this string s, string substring, 
        bool aggressiveSearch = false)
    {
        // if s or substring is null or empty, substring cannot be found in s
        if (string.IsNullOrEmpty(s) || string.IsNullOrEmpty(substring))
            return 0;

        // if the length of substring is greater than the length of s,
        // substring cannot be found in s
        if (substring.Length > s.Length)
            return 0;

        int count = 0, n = 0;
        while ((n = s.IndexOf(substring, n, StringComparison.InvariantCulture)) != -1)
        {
            if (aggressiveSearch)
                n++;
            else
                n += substring.Length;
            count++;
        }

        return count;
    }

这两个都只适用于单字符搜索词…

countOccurences("the", "the answer is the answer");

int countOccurences(string needle, string haystack)
{
    return (haystack.Length - haystack.Replace(needle,"").Length) / needle.Length;
}

也许更长的针头会更好…

但肯定有更优雅的方式。：）