这个函数从字符串中收集所有匹配的序列。在本例中，它从字符串中获取所有电子邮件地址。

static final String EMAIL_PATTERN = "[_A-Za-z0-9-\\+]+(\\.[_A-Za-z0-9-]+)*@"
        + "[A-Za-z0-9-]+(\\.[A-Za-z0-9]+)*(\\.[A-Za-z]{2,})";

public List<String> getAllEmails(String message) {      
    List<String> result = null;
    Matcher matcher = Pattern.compile(EMAIL_PATTERN).matcher(message);

    if (matcher.find()) {
        result = new ArrayList<String>();
        result.add(matcher.group());

        while (matcher.find()) {
            result.add(matcher.group());
        }
    }

    return result;
}

对于message = "adf@gmail.com， <another@osiem.osiem>>>> lalala@aaa.pl"，它将创建包含3个元素的List。

简单的解决方案

// Regexplanation:
// ^       beginning of line
// \\D+    1+ non-digit characters
// (\\d+)  1+ digit characters in a capture group
// .*      0+ any character
String regexStr = "^\\D+(\\d+).*";

// Compile the regex String into a Pattern
Pattern p = Pattern.compile(regexStr);

// Create a matcher with the input String
Matcher m = p.matcher(inputStr);

// If we find a match
if (m.find()) {
    // Get the String from the first capture group
    String someDigits = m.group(1);
    // ...do something with someDigits
}

一个Util类的解

public class MyUtil {
    private static Pattern pattern = Pattern.compile("^\\D+(\\d+).*");
    private static Matcher matcher = pattern.matcher("");

    // Assumptions: inputStr is a non-null String
    public static String extractFirstNumber(String inputStr){
        // Reset the matcher with a new input String
        matcher.reset(inputStr);

        // Check if there's a match
        if(matcher.find()){
            // Return the number (in the first capture group)
            return matcher.group(1);
        }else{
            // Return some default value, if there is no match
            return null;
        }
    }
}

...

// Use the util function and print out the result
String firstNum = MyUtil.extractFirstNumber("Testing4234Things");
System.out.println(firstNum);

如果你正在从文件中读取，那么这可以帮助你

              try{
             InputStream inputStream = (InputStream) mnpMainBean.getUploadedBulk().getInputStream();
             BufferedReader br = new BufferedReader(new InputStreamReader(inputStream));
             String line;
             //Ref:03
             while ((line = br.readLine()) != null) {
                if (line.matches("[A-Z],\\d,(\\d*,){2}(\\s*\\d*\\|\\d*:)+")) {
                     String[] splitRecord = line.split(",");
                     //do something
                 }
                 else{
                     br.close();
                     //error
                     return;
                 }
             }
                br.close();

             }
         }
         catch (IOException  ioExpception){
             logger.logDebug("Exception " + ioExpception.getStackTrace());
         }

试着这样做:

Pattern p = Pattern.compile("^.+(\\d+).+");
Matcher m = p.matcher("Testing123Testing");

if (m.find()) {
    System.out.println(m.group(1));
}

Pattern p = Pattern.compile("(\\D+)(\\d+)(.*)");
Matcher m = p.matcher("this is your number:1234 thank you");
if (m.find()) {
    String someNumberStr = m.group(2);
    int someNumberInt = Integer.parseInt(someNumberStr);
}

看，你可以使用StringTokenizer

String str = "as:"+123+"as:"+234+"as:"+345;
StringTokenizer st = new StringTokenizer(str,"as:");

while(st.hasMoreTokens())
{
  String k = st.nextToken();    // you will get first numeric data i.e 123
  int kk = Integer.parseInt(k);
  System.out.println("k string token in integer        " + kk);

  String k1 = st.nextToken();   //  you will get second numeric data i.e 234
  int kk1 = Integer.parseInt(k1);
  System.out.println("new string k1 token in integer   :" + kk1);

  String k2 = st.nextToken();   //  you will get third numeric data i.e 345
  int kk2 = Integer.parseInt(k2);
  System.out.println("k2 string token is in integer   : " + kk2);
}

由于我们将这些数值数据转换为三个不同的变量，我们可以在代码的任何地方使用这些数据(以供进一步使用)