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
来自Sagi shkedy的技术博客:
function generateGuid() {
var result, i, j;
result = '';
for(j=0; j<32; j++) {
if( j == 8 || j == 12 || j == 16 || j == 20)
result = result + '-';
i = Math.floor(Math.random()*16).toString(16).toUpperCase();
result = result + i;
}
return result;
}
还有其他方法涉及使用 ActiveX 控制,但远离这些!
我以为值得指出的是,没有GUID发电机可以保证独特的钥匙(查看维基百科文章)。总是有冲突的可能性。
其他回答
原始 URL.createObjectURL 正在产生 UUID. 您可以利用此。
function uuid() {
const url = URL.createObjectURL(new Blob())
const [id] = url.toString().split('/').reverse()
URL.revokeObjectURL(url)
return id
}
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);
}
);
};
function randomHex(length) {
var random_string = '';
if(!length){
length = 1;
}
for(var i=0; i<length; i+=1){
random_string += Math.floor(Math.random() * 15).toString(16);
}
return random_string;
}
function guid() {
return randomHex(8);
}
下面是使用 crypto.getRandomValues(a)在支持的浏览器(Internet Explorer 11+,iOS 7+,Firefox 21+,Chrome,和Android Chrome)的简单代码。
它避免使用Math.random(),因为这可能会导致碰撞(例如,在 Muxa 实际情况下产生 4000 UUID 的 20 次碰撞)。
function uuid() {
function randomDigit() {
if (crypto && crypto.getRandomValues) {
var rands = new Uint8Array(1);
crypto.getRandomValues(rands);
return (rands[0] % 16).toString(16);
} else {
return ((Math.random() * 16) | 0).toString(16);
}
}
var crypto = window.crypto || window.msCrypto;
return 'xxxxxxxx-xxxx-4xxx-8xxx-xxxxxxxxxxxx'.replace(/x/g, randomDigit);
}
笔记:
优化为代码可读性,而不是速度,所以它适合,说,几百 UUID 每秒. 它在我的笔记本电脑上在 Chromium 中每秒产生约 10000 uuid() 用 http://jsbin.com/fuwigo/1 来测量性能. 它只使用 8 为 “y” 因为它简化了代码可读性(y 允许为 8, 9, A 或 B)。
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}`)