如何在JavaScript中创建GUID(全球独特识别器)?GUID/UUID应该至少有32个字符,并且应该保持在ASCII范围内,以避免在通过它们时遇到麻烦。
我不确定在所有浏览器上有哪些习惯,如何“随机”和种植内置的随机号码发电机等。
如何在JavaScript中创建GUID(全球独特识别器)?GUID/UUID应该至少有32个字符,并且应该保持在ASCII范围内,以避免在通过它们时遇到麻烦。
我不确定在所有浏览器上有哪些习惯,如何“随机”和种植内置的随机号码发电机等。
当前回答
我想了解布罗法的答案,所以我扩展了它并添加了评论:
var uuid = function () {
return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(
/[xy]/g,
function (match) {
/*
* Create a random nibble. The two clever bits of this code:
*
* - Bitwise operations will truncate floating point numbers
* - For a bitwise OR of any x, x | 0 = x
*
* So:
*
* Math.random * 16
*
* creates a random floating point number
* between 0 (inclusive) and 16 (exclusive) and
*
* | 0
*
* truncates the floating point number into an integer.
*/
var randomNibble = Math.random() * 16 | 0;
/*
* Resolves the variant field. If the variant field (delineated
* as y in the initial string) is matched, the nibble must
* match the mask (where x is a do-not-care bit):
*
* 10xx
*
* This is achieved by performing the following operations in
* sequence (where x is an intermediate result):
*
* - x & 0x3, which is equivalent to x % 3
* - x | 0x8, which is equivalent to x + 8
*
* This results in a nibble between 8 inclusive and 11 exclusive,
* (or 1000 and 1011 in binary), all of which satisfy the variant
* field mask above.
*/
var nibble = (match == 'y') ?
(randomNibble & 0x3 | 0x8) :
randomNibble;
/*
* Ensure the nibble integer is encoded as base 16 (hexadecimal).
*/
return nibble.toString(16);
}
);
};
其他回答
对于想要 RFC 4122 版本 4 符合速度考虑的解决方案的人(少数电话到 Math.random()):
var rand = Math.random; 函数 UUID() { var nbr, randStr = "; do { randStr += (nbr = rand()).toString(16).substr(3, 6); } 同时(randStr.length < 30); 返回( randStr.substr(0, 8) + "-" + randStr.substr(8, 4) + "-4" + randStr.substr(12, 3) + "-" + ((nbr*4♰0) +8).toString(16) + // [89ab] randStr.substr(15, 3) + "-" + rand
上面的功能应该在速度和随机性之间保持适当的平衡。
我们可以使用代替和crypto.getRandomValues以获得这样的输出:
xxxxxxxxxxxxxxxxxxxxxxx
此分類上一篇
如果我们正在寻找一个 opti 解决方案,我们必须用一个序列(32 )取代 crypto.getRandomValues(新 Uint8Array(1))[0]。
const uuidv4 = () =>
([1e7] + -1e3 + -4e3 + -8e3 + -1e11).replace(/[018]/g, c =>
(c ^ crypto.getRandomValues(new Uint8Array(1))[0] & 15 >> c / 4).toString(16)
);
console.log(uuidv4());
要得到这个代码:
函数 uuidv4() { 让比特 = window.crypto.getRandomValues(新 Uint8Array(32)); const randomBytes = () => (比特 = bytes.slice(1)) && bytes[0]; 返回([1e7] + -1e3 + -4e3 + -8e3 + -1e11); 取代(/[018]/g, c => (c ^ randomBytes() & 15 >> c / 4).toString(16) ; } for (var i = 0; i < 10; i++) console.log(uuidv4());
碰撞:
我们可以喜欢谷歌分析,并添加一个时间标签: uuidv4() + "。
我已经建立在这里提到的所有东西,以产生两倍的速度,可携带的所有环境,包括节点,并从Math.random()升级到加密强度的随机性。
function random() {
const
fourBytesOn = 0xffffffff, // 4 bytes, all 32 bits on: 4294967295
c = typeof crypto === "object"
? crypto // Node.js or most browsers
: typeof msCrypto === "object" // Stinky non-standard Internet Explorer
? msCrypto // eslint-disable-line no-undef
: null; // What old or bad environment are we running in?
return c
? c.randomBytes
? parseInt(c.randomBytes(4).toString("hex"), 16) / (fourBytesOn + 1) - Number.EPSILON // Node.js
: c.getRandomValues(new Uint32Array(1))[0] / (fourBytesOn + 1) - Number.EPSILON // Browsers
: Math.random();
}
function uuidV4() { // eslint-disable-line complexity
// If possible, generate a single random value, 128 bits (16 bytes)
// in length. In an environment where that is not possible, generate
// and make use of four 32-bit (4-byte) random values.
// Use crypto-grade randomness when available, else Math.random()
const
c = typeof crypto === "object"
? crypto // Node.js or most browsers
: typeof msCrypto === "object" // Stinky non-standard Internet Explorer
? msCrypto // eslint-disable-line no-undef
: null; // What old or bad environment are we running in?
let
byteArray = c
? c.randomBytes
? c.randomBytes(16) // Node.js
: c.getRandomValues(new Uint8Array(16)) // Browsers
: null,
uuid = [ ];
/* eslint-disable no-bitwise */
if ( ! byteArray) { // No support for generating 16 random bytes
// in one shot -- this will be slower
const
int = [
random() * 0xffffffff | 0,
random() * 0xffffffff | 0,
random() * 0xffffffff | 0,
random() * 0xffffffff | 0
];
byteArray = [ ];
for (let i = 0; i < 256; i++) {
byteArray[i] = int[i < 4 ? 0 : i < 8 ? 1 : i < 12 ? 2 : 3] >> i % 4 * 8 & 0xff;
}
}
byteArray[6] = byteArray[6] & 0x0f | 0x40; // Always 4, per RFC, indicating the version
byteArray[8] = byteArray[8] & 0x3f | 0x80; // Constrained to [89ab], per RFC for version 4
for (let i = 0; i < 16; ++i) {
uuid[i] = (byteArray[i] < 16 ? "0" : "") + byteArray[i].toString(16);
}
uuid =
uuid[ 0] + uuid[ 1] + uuid[ 2] + uuid[ 3] + "-" +
uuid[ 4] + uuid[ 5] + "-" +
uuid[ 6] + uuid[ 7] + "-" +
uuid[ 8] + uuid[ 9] + "-" +
uuid[10] + uuid[11] + uuid[12] + uuid[13] + uuid[14] + uuid[15];
return uuid;
/* eslint-enable no-bitwise */
}
因此,注意到这篇文章有超过30个答案,这里是...... 这篇文章有:一个“TL;DR”代码部分w/自含的es6类 Xuid一个使用案例和动机讨论部分关于es6类 Xuid提供代码。
class Xuid {
//@ edges.sm.st, ess.dev: MIT license Smallscript/David Simmons 2020
//! Can't use `static const field = const` xbrowser (thus, const's duped)
static get v4New() {
const ns7Now = this.ns7Now, xnode48 = this.xnode48; let clock_seq13
// monotonic `clock_seq` guarantee (13-bits/time-quantum)
if(ns7Now <= this.ns7Now_prevSeq && this.ns7Now_prevSeq)
clock_seq13 = ((this.ns7Now_prevSeq += 1n) - ns7Now) & 0b1_1111_1111_1111n
else
clock_seq13 = 0n, this.ns7Now_prevSeq = ns7Now
const time60 = ((ns7Now << 4n) & 0xFFFF_FFFF_FFFF_0000n) |
(ns7Now & 0x0000_0000_0000_0FFFn),
v4 = 0x1_00000000_0000_0000_0000_000000000000n |
(time60 << 64n) | (0x00000000_0000_4000_0000_000000000000n) | // M: V4
(0b110n << 61n) | (clock_seq13 << 48n) | // N: Variant-2 time-seq collation
xnode48, s = v4.toString(16)//.substr(1)
return `{${s.substr(1,8)}-${s.substr(9,4)}-${s.substr(13,4)}-${
s.substr(17,4)}-${s.substr(21,12)}}`
}
static get xnode48()/*:<BigInt#48>*/{
if(this.xnode48_) return this.xnode48_
let clockSeqNode; if(typeof URL !== 'undefined' && URL.createObjectURL) {
const url = URL.createObjectURL(new Blob())
const id = (url.toString().split('/').reverse()[0]).split('-')
URL.revokeObjectURL(url)
clockSeqNode = BigInt('0x'+id[3]+id[4])
}
else {
const a4 = this.a4; this.getRandomValues(this.a4);
clockSeqNode = (BigInt(a4[2]) << 32n) | BigInt(a4[3])
}
// simulate the 48-bit node-id and 13-bit clock-seq
// to combine with 3-bit uuid-variant
return this.xnode48_ = clockSeqNode & 0xFFFF_FFFF_FFFFn;
}
static get jdNow()/*:<double#ns7>*/{
// return 2440587.5+Date.now()/864e5 // <- Date-quantum-ms form (7ns form below)
return this.jdFromNs7(this.ns7Now)
}
static get ns7Now()/*:<BigInt#60>*/{
if(typeof performance !== 'undefined' && performance.now)
Reflect.defineProperty(this, 'ns7Now',
Reflect.getOwnPropertyDescriptor(this,'ns7Now_performance'))
else
Reflect.defineProperty(this, 'ns7Now',
Reflect.getOwnPropertyDescriptor(this, 'ns7Now_Date'))
return this.ns7Now
}
static get ns7Now_Date()/*:<BigInt#60>*/{
// const epoch1582Ns7_bias = 0x1b2_1dd2_1381_4000 // V1 1582 Oct 15
// const epoch1601Ns7_bias = 0x19d_b1de_d53e_8000n // FILETIME base
const epoch1970Ns7 = BigInt(Date.now() * 1000_0.0)
return epoch1970Ns7 + 0x1b2_1dd2_1381_4000n
}
static get ns7Now_performance()/*:<BigInt#60>*/{
const epochPgNs7 = BigInt(performance.now()*/*15*/1000_0.0|/*17*/0)
if(!this.epoch1970PgNs7) // performance.timing.navigationStart
this.epoch1970PgNs7 = this.ns7Now_Date - epochPgNs7
return epochPgNs7 + this.epoch1970PgNs7
}
static dateFromJd(jd) {return new Date((jd - 2440587.5) * 864e5)}
static dateFromNs7(ns7) {
return new Date(Number(ns7 - 0x1b2_1dd2_1381_4000n) / 1000_0.0)}
static jdFromNs7(ns7) { // atomic-clock leap-seconds (ignored)
return 2440587.5 + (Number(ns7 - 0x1b2_1dd2_1381_4000n) / 864e9)
}
static ns7FromJd(jd) {
return BigInt((jd - 2440587.5) * 864e9) + 0x1b2_1dd2_1381_4000n
}
static getRandomValues(va/*:<Uint32Array>*/) {
if(typeof crypto !== 'undefined' && crypto.getRandomValues)
crypto.getRandomValues(va)
else for(let i = 0, n = va.length; i < n; i += 1)
va[i] = Math.random() * 0x1_0000_0000 >>> 0
}
static get a4() {return this.a4_ || (this.a4_ = new Uint32Array(4))}
static ntohl(v)/*:<BigInt>*/{
let r = '0x', sign = 1n, s = BigInt(v).toString(16)
if(s[0] == '-') s = s.substr(1), sign = -1n
for(let i = s.length; i > 0; i -= 2)
r += (i == 1) ? ('0' + s[i-1]) : s[i-2] + s[i-1]
return sign*BigInt(r)
}
static ntohl32(v)/*:<Number>*/{return Number(this.ntohl(v))}
}
总结
雖然有,但我希望這對現在有足夠的解釋;試試。
在GitHub上发布 EdgeS Web-Client Eswc 图书馆的一部分时, indexedDb 使用模式与 efs 将作为其设计意图的示例,其中包括处理效率和可用性与 indexedDb 和相关 PWA 同步和复制场景。
Related朱利安日计算在JavaScript中
基准评分 Novids/sec
const start = Xuid.ns7Now
for(let i = 100000; i; i -=1)
Xuid.v4New
const end = Xuid.ns7Now
console.log(`Delta 7ns: ${(end-start)/100000n}`)
下面是2011年10月9日的解决方案,由用户在https://gist.github.com/982883上发表评论:
UUIDv4 = function b(a){return a?(a^Math.random()*16>>a/4).toString(16):([1e7]+-1e3+-4e3+-8e3+-1e11).replace(/[018]/g,b)}
这实现了与当前最高评级的答案相同的目标,但在50比以更少的比特中,利用强迫性、回报性和曝光性评级。
UUIDv4 =
function b(
a // placeholder
){
return a // if the placeholder was passed, return
? ( // a random number from 0 to 15
a ^ // unless b is 8,
Math.random() // in which case
* 16 // a random number from
>> a/4 // 8 to 11
).toString(16) // in hexadecimal
: ( // or otherwise a concatenated string:
[1e7] + // 10000000 +
-1e3 + // -1000 +
-4e3 + // -4000 +
-8e3 + // -80000000 +
-1e11 // -100000000000,
).replace( // replacing
/[018]/g, // zeroes, ones, and eights with
b // random hex digits
)
}