我一直在寻找一种简单的Java算法来生成伪随机字母数字字符串。在我的情况下,它将被用作唯一的会话/密钥标识符,“很可能”在超过50万代的时间内是唯一的(我的需求实际上不需要更复杂的东西)。

理想情况下,我可以根据我的独特性需求指定长度。例如,生成的长度为12的字符串可能看起来像“AEYGF7K0DM1X”。


当前回答

我不太喜欢这些关于“简单”解决方案的答案:S

我会选择简单的;),纯Java,一行(熵基于随机字符串长度和给定字符集):

public String randomString(int length, String characterSet) {
    return IntStream.range(0, length).map(i -> new SecureRandom().nextInt(characterSet.length())).mapToObj(randomInt -> characterSet.substring(randomInt, randomInt + 1)).collect(Collectors.joining());
}

@Test
public void buildFiveRandomStrings() {
    for (int q = 0; q < 5; q++) {
        System.out.println(randomString(10, "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")); // The character set can basically be anything
    }
}

或者(更易读的老方法)

public String randomString(int length, String characterSet) {
    StringBuilder sb = new StringBuilder(); // Consider using StringBuffer if needed
    for (int i = 0; i < length; i++) {
        int randomInt = new SecureRandom().nextInt(characterSet.length());
        sb.append(characterSet.substring(randomInt, randomInt + 1));
    }
    return sb.toString();
}

@Test
public void buildFiveRandomStrings() {
    for (int q = 0; q < 5; q++) {
        System.out.println(randomString(10, "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")); // The character set can basically be anything
    }
}

但另一方面,你也可以使用UUID,它具有相当好的熵:

UUID.randomUUID().toString().replace("-", "")

其他回答

使用美元应简单如下:

// "0123456789" + "ABCDE...Z"
String validCharacters = $('0', '9').join() + $('A', 'Z').join();

String randomString(int length) {
    return $(validCharacters).shuffle().slice(length).toString();
}

@Test
public void buildFiveRandomStrings() {
    for (int i : $(5)) {
        System.out.println(randomString(12));
    }
}

它输出的内容如下:

DKL1SBH9UJWC
JH7P0IT21EA5
5DTI72EO6SFU
HQUMJTEBNF7Y
1HCR6SKYWGT7

您可以使用UUID类及其getLeastSignificantBits()消息来获取64位随机数据,然后将其转换为基数36的数字(即由0-9、a-Z组成的字符串):

Long.toString(Math.abs( UUID.randomUUID().getLeastSignificantBits(), 36));

这将产生一个长达13个字符的字符串。我们使用Math.abs()来确保没有负号潜入。

最佳随机字符串生成器方法

public class RandomStringGenerator{

    private static int randomStringLength = 25 ;
    private static boolean allowSpecialCharacters = true ;
    private static String specialCharacters = "!@$%*-_+:";
    private static boolean allowDuplicates = false ;

    private static boolean isAlphanum = false;
    private static boolean isNumeric = false;
    private static boolean isAlpha = false;
    private static final String alphabet = "abcdefghijklmnopqrstuvwxyz";
    private static boolean mixCase = false;
    private static final String capAlpha = "ABCDEFGHIJKLMNOPQRSTUVWXYZ";
    private static final String num = "0123456789";

    public static String getRandomString() {
        String returnVal = "";
        int specialCharactersCount = 0;
        int maxspecialCharacters = randomStringLength/4;

        try {
            StringBuffer values = buildList();
            for (int inx = 0; inx < randomStringLength; inx++) {
                int selChar = (int) (Math.random() * (values.length() - 1));
                if (allowSpecialCharacters)
                {
                    if (specialCharacters.indexOf("" + values.charAt(selChar)) > -1)
                    {
                        specialCharactersCount ++;
                        if (specialCharactersCount > maxspecialCharacters)
                        {
                            while (specialCharacters.indexOf("" + values.charAt(selChar)) != -1)
                            {
                                selChar = (int) (Math.random() * (values.length() - 1));
                            }
                        }
                    }
                }
                returnVal += values.charAt(selChar);
                if (!allowDuplicates) {
                    values.deleteCharAt(selChar);
                }
            }
        } catch (Exception e) {
            returnVal = "Error While Processing Values";
        }
        return returnVal;
    }

    private static StringBuffer buildList() {
        StringBuffer list = new StringBuffer(0);
        if (isNumeric || isAlphanum) {
            list.append(num);
        }
        if (isAlpha || isAlphanum) {
            list.append(alphabet);
            if (mixCase) {
                list.append(capAlpha);
            }
        }
        if (allowSpecialCharacters)
        {
            list.append(specialCharacters);
        }
        int currLen = list.length();
        String returnVal = "";
        for (int inx = 0; inx < currLen; inx++) {
            int selChar = (int) (Math.random() * (list.length() - 1));
            returnVal += list.charAt(selChar);
            list.deleteCharAt(selChar);
        }
        list = new StringBuffer(returnVal);
        return list;
    }   

}

我不太喜欢这些关于“简单”解决方案的答案:S

我会选择简单的;),纯Java,一行(熵基于随机字符串长度和给定字符集):

public String randomString(int length, String characterSet) {
    return IntStream.range(0, length).map(i -> new SecureRandom().nextInt(characterSet.length())).mapToObj(randomInt -> characterSet.substring(randomInt, randomInt + 1)).collect(Collectors.joining());
}

@Test
public void buildFiveRandomStrings() {
    for (int q = 0; q < 5; q++) {
        System.out.println(randomString(10, "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")); // The character set can basically be anything
    }
}

或者(更易读的老方法)

public String randomString(int length, String characterSet) {
    StringBuilder sb = new StringBuilder(); // Consider using StringBuffer if needed
    for (int i = 0; i < length; i++) {
        int randomInt = new SecureRandom().nextInt(characterSet.length());
        sb.append(characterSet.substring(randomInt, randomInt + 1));
    }
    return sb.toString();
}

@Test
public void buildFiveRandomStrings() {
    for (int q = 0; q < 5; q++) {
        System.out.println(randomString(10, "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789")); // The character set can basically be anything
    }
}

但另一方面,你也可以使用UUID,它具有相当好的熵:

UUID.randomUUID().toString().replace("-", "")

使用UUID是不安全的,因为UUID的一部分根本不是随机的。erickson的过程非常简单,但它不会创建相同长度的字符串。以下代码片段应该足够了:

/*
 * The random generator used by this class to create random keys.
 * In a holder class to defer initialization until needed.
 */
private static class RandomHolder {
    static final Random random = new SecureRandom();
    public static String randomKey(int length) {
        return String.format("%"+length+"s", new BigInteger(length*5/*base 32,2^5*/, random)
            .toString(32)).replace('\u0020', '0');
    }
}

为什么选择长度*5?让我们假设一个长度为1的随机字符串的简单情况,即一个随机字符。要获得包含所有数字0-9和字符a-z的随机字符,我们需要一个介于0和35之间的随机数来获得每个字符中的一个。

BigInteger提供了一个构造函数来生成一个随机数,均匀分布在0到(2^numBits-1)的范围内。不幸的是,35不是一个可以由2^numBits-1接收的数字。

所以我们有两个选择:要么选择2^5-1=31,要么选择2^ 6-1=63。如果我们选择2^6,我们会得到很多“不必要”/“更长”的数字。因此,2^5是更好的选择,即使我们丢失了四个字符(w-z)。现在要生成特定长度的字符串,我们可以简单地使用2^(length*numBits)-1数字。最后一个问题是,如果我们想要一个具有一定长度的字符串,随机可能会生成一个小数字,因此长度不符合要求,因此我们必须将字符串填充到所需的长度,并加上前缀零。