这是你的快速方法:

    private static final String[] hexes = new String[]{
        "00","01","02","03","04","05","06","07","08","09","0A","0B","0C","0D","0E","0F",
        "10","11","12","13","14","15","16","17","18","19","1A","1B","1C","1D","1E","1F",
        "20","21","22","23","24","25","26","27","28","29","2A","2B","2C","2D","2E","2F",
        "30","31","32","33","34","35","36","37","38","39","3A","3B","3C","3D","3E","3F",
        "40","41","42","43","44","45","46","47","48","49","4A","4B","4C","4D","4E","4F",
        "50","51","52","53","54","55","56","57","58","59","5A","5B","5C","5D","5E","5F",
        "60","61","62","63","64","65","66","67","68","69","6A","6B","6C","6D","6E","6F",
        "70","71","72","73","74","75","76","77","78","79","7A","7B","7C","7D","7E","7F",
        "80","81","82","83","84","85","86","87","88","89","8A","8B","8C","8D","8E","8F",
        "90","91","92","93","94","95","96","97","98","99","9A","9B","9C","9D","9E","9F",
        "A0","A1","A2","A3","A4","A5","A6","A7","A8","A9","AA","AB","AC","AD","AE","AF",
        "B0","B1","B2","B3","B4","B5","B6","B7","B8","B9","BA","BB","BC","BD","BE","BF",
        "C0","C1","C2","C3","C4","C5","C6","C7","C8","C9","CA","CB","CC","CD","CE","CF",
        "D0","D1","D2","D3","D4","D5","D6","D7","D8","D9","DA","DB","DC","DD","DE","DF",
        "E0","E1","E2","E3","E4","E5","E6","E7","E8","E9","EA","EB","EC","ED","EE","EF",
        "F0","F1","F2","F3","F4","F5","F6","F7","F8","F9","FA","FB","FC","FD","FE","FF"
    };

    public static String byteToHex(byte b) {
        return hexes[b&0xFF];
    }

这是你的快速方法:

    private static final String[] hexes = new String[]{
        "00","01","02","03","04","05","06","07","08","09","0A","0B","0C","0D","0E","0F",
        "10","11","12","13","14","15","16","17","18","19","1A","1B","1C","1D","1E","1F",
        "20","21","22","23","24","25","26","27","28","29","2A","2B","2C","2D","2E","2F",
        "30","31","32","33","34","35","36","37","38","39","3A","3B","3C","3D","3E","3F",
        "40","41","42","43","44","45","46","47","48","49","4A","4B","4C","4D","4E","4F",
        "50","51","52","53","54","55","56","57","58","59","5A","5B","5C","5D","5E","5F",
        "60","61","62","63","64","65","66","67","68","69","6A","6B","6C","6D","6E","6F",
        "70","71","72","73","74","75","76","77","78","79","7A","7B","7C","7D","7E","7F",
        "80","81","82","83","84","85","86","87","88","89","8A","8B","8C","8D","8E","8F",
        "90","91","92","93","94","95","96","97","98","99","9A","9B","9C","9D","9E","9F",
        "A0","A1","A2","A3","A4","A5","A6","A7","A8","A9","AA","AB","AC","AD","AE","AF",
        "B0","B1","B2","B3","B4","B5","B6","B7","B8","B9","BA","BB","BC","BD","BE","BF",
        "C0","C1","C2","C3","C4","C5","C6","C7","C8","C9","CA","CB","CC","CD","CE","CF",
        "D0","D1","D2","D3","D4","D5","D6","D7","D8","D9","DA","DB","DC","DD","DE","DF",
        "E0","E1","E2","E3","E4","E5","E6","E7","E8","E9","EA","EB","EC","ED","EE","EF",
        "F0","F1","F2","F3","F4","F5","F6","F7","F8","F9","FA","FB","FC","FD","FE","FF"
    };

    public static String byteToHex(byte b) {
        return hexes[b&0xFF];
    }

最好的解决方案是这样的一句话:

String hex=DatatypeConverter.printHexBinary(byte[] b);

正如这里提到的

试试这个方法:

byte bv = 10;
String hexString = Integer.toHexString(bv);

处理数组(如果我没理解错的话):

byte[] bytes = {9, 10, 11, 15, 16};
StringBuffer result = new StringBuffer();
for (byte b : bytes) {
    result.append(String.format("%02X ", b));
    result.append(" "); // delimiter
}
return result.toString();

正如polygeneluants所提到的，String.format()是与Integer.toHexString()相比的正确答案(因为它以正确的方式处理负数)。

只是添加我的两分，因为我看到许多答案使用字符数组和/或使用StringBuilder实例，并声称是快速或更快。

由于我使用ASCII表组织有一个不同的想法，代码点48-57为0-9，代码点65-70为a-f，代码点97-102为a-f，我想测试哪个想法是最快的。

因为我已经好几年没有做过类似的事情了，所以我要做一个广泛的拍摄。我在不同大小的数组中使用了10亿字节(1M, 1K, 10)，因此每个数组有1000倍1M字节，每个数组有1M倍1000字节，每个数组有100M倍10字节。

结果是1-F中的char数组胜出。使用char数组而不是StringBuilder作为输出也很容易(对象更少，不需要测试容量，在增长时不需要新数组或复制)。此外，当使用foreach (for(var b: bytes))循环时，你似乎会得到一个小的惩罚。

使用我的想法的版本大约是。每个数组1M字节时慢15%，每个数组1000字节时慢21%，每个数组10字节时慢18%。StringBuilder版本分别慢了210%、380%和310%。

这很糟糕，但也不是那么出乎意料，因为在第一级缓存中查找小数组胜过if和add... .(一个缓存访问+偏移量计算vs.一个if，一个跳转，一个add ->不确定跳转thou)。

我的版本:

public static String bytesToHex(byte [] bytes) {
    
    char [] result = new char [bytes.length * 2];
    
    for(int index = 0; index < bytes.length; index++) {
        int v = bytes[index]; 

        int upper = (v >>> 4) & 0xF;
        result[index * 2] = (char)(upper + (upper < 10 ? 48 : 65 - 10));
        
        int lower = v & 0xF;
        result[index * 2 + 1] = (char)(lower + (lower < 10 ? 48 : 65 - 10));
    }
    
    return new String(result);
}

PS:是的，我做了多次测试，每次都做了最好的测试，做了热身，也做了100亿字符的测试，以确保相同的图片... .

Use

Integer.toHexString((int)b);