我有一个字节数组充满十六进制数字和打印它的简单方式是相当没有意义的,因为有许多不可打印的元素。我需要的是精确的十六进制形式:3a5f771c
当前回答
如果你想让它更具可读性,并将字节彼此分开,你可以在Java 17+中使用以下代码:
byte[] yourByteArray = { -128, 0, 127 };
String hexString = new String(HexFormat.ofDelimiter(" ").formatHex(yourByteArray));
// 80 00 7f
其他回答
我们不需要使用任何外部库,也不需要基于循环和常量编写代码。 这样就够了:
byte[] theValue = .....
String hexaString = new BigInteger(1, theValue).toString(16);
//移位字节更有效 //你也可以用这个
public static String getHexString (String s)
{
byte[] buf = s.getBytes();
StringBuffer sb = new StringBuffer();
for (byte b:buf)
{
sb.append(String.format("%x", b));
}
return sb.toString();
}
Converts bytes data to hex characters
@param bytes byte array to be converted to hex string
@return byte String in hex format
private static String bytesToHex(byte[] bytes) {
char[] hexChars = new char[bytes.length * 2];
int v;
for (int j = 0; j < bytes.length; j++) {
v = bytes[j] & 0xFF;
hexChars[j * 2] = HEX_ARRAY[v >>> 4];
hexChars[j * 2 + 1] = HEX_ARRAY[v & 0x0F];
}
return new String(hexChars);
}
我的解决方案是基于maybeWeCouldStealAVan的解决方案,但不依赖于任何额外分配的查找表。它不使用任何“int-to-char”类型强制转换(实际上,Character.forDigit()做到了这一点,执行一些比较来检查数字的真实情况),因此可能会稍慢一些。请随意在任何你想用的地方使用。欢呼。
public static String bytesToHex(final byte[] bytes)
{
final int numBytes = bytes.length;
final char[] container = new char[numBytes * 2];
for (int i = 0; i < numBytes; i++)
{
final int b = bytes[i] & 0xFF;
container[i * 2] = Character.forDigit(b >>> 4, 0x10);
container[i * 2 + 1] = Character.forDigit(b & 0xF, 0x10);
}
return new String(container);
}
从这里的讨论,特别是这个答案,这是我目前使用的函数:
private static final char[] HEX_ARRAY = "0123456789ABCDEF".toCharArray();
public static String bytesToHex(byte[] bytes) {
char[] hexChars = new char[bytes.length * 2];
for (int j = 0; j < bytes.length; j++) {
int v = bytes[j] & 0xFF;
hexChars[j * 2] = HEX_ARRAY[v >>> 4];
hexChars[j * 2 + 1] = HEX_ARRAY[v & 0x0F];
}
return new String(hexChars);
}
My own tiny benchmarks (a million bytes a thousand times, 256 bytes 10 million times) showed it to be much faster than any other alternative, about half the time on long arrays. Compared to the answer I took it from, switching to bitwise ops --- as suggested in the discussion --- cut about 20% off of the time for long arrays. (Edit: When I say it's faster than the alternatives, I mean the alternative code offered in the discussions. Performance is equivalent to Commons Codec, which uses very similar code.)
2k20版本,相对于Java 9的压缩字符串:
private static final byte[] HEX_ARRAY = "0123456789ABCDEF".getBytes(StandardCharsets.US_ASCII);
public static String bytesToHex(byte[] bytes) {
byte[] hexChars = new byte[bytes.length * 2];
for (int j = 0; j < bytes.length; j++) {
int v = bytes[j] & 0xFF;
hexChars[j * 2] = HEX_ARRAY[v >>> 4];
hexChars[j * 2 + 1] = HEX_ARRAY[v & 0x0F];
}
return new String(hexChars, StandardCharsets.UTF_8);
}
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