这个报价返回 5 组 8 个数字从 a-z,0-9 大多数是随机的,但包含日时,并且有一个随机增加的计算器. 你可以指定任何基础你喜欢(六,十,36),默认选择一个随机基础为每个组的 8,在基础范围 16 到 36

function newId(base) { return[ Math.random, function (){ return (newId.last ? windowId.last + Math.random() : Math.random() ) }, Math.random, Date.now, Math.random ].map(function(fn){ return fn().toString(base||(16+(Math.random()*20))).substr(-8); }).join('-'); } var demo = function(base){ document.getElementById('uuid').textContent = newId(base); } demo(16); #uuid { font-family: monospace; font-size: 1.5em; } <p id="uuid"></p> <button onclick="demo(16);">Hex (base 16)</button> <button onclick="demo(36);">Base 36</button> <button onclick="demo(10);">Decimal (base 10)</button> <button onclick="demo();">Random base</button>

这可能对某人有用......

var d = new Date().valueOf();
var n = d.toString();
var result = '';
var length = 32;
var p = 0;
var chars = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ';

for (var i = length; i > 0; --i){
    result += ((i & 1) && n.charAt(p) ? '<b>' + n.charAt(p) + '</b>' : chars[Math.floor(Math.random() * chars.length)]);
    if(i & 1) p++;
};

HTTPS://jsfiddle.net/j0evrdf1/1/

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。

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}`)

不要使用 Math.random 在任何情况下,因为它产生一个非加密的随机数字来源。

下面的解决方案使用crypto.getRandomValues

function uuidv4() {
  return "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx".replace(/[xy]/g, (c) => {
    // tslint:disable-next-line: no-bitwise
    const r =
      (window.crypto.getRandomValues(new Uint32Array(1))[0] *
        Math.pow(2, -32) * 16) |
      0;
    // tslint:disable-next-line: no-bitwise
    const v = c === "x" ? r : (r & 0x3) | 0x8;
    return v.toString(16);
  });
}

此链接有助于您了解由 Fortify Scanner 投下的不安全的随机性。

我找不到使用单一 16-octet TypedArray 和 DataView 的任何答案,所以我认为在 RFC 中创建版本 4 UUID 的下列解决方案将自行存在:

const uuid4 = () => {
    const ho = (n, p) => n.toString(16).padStart(p, 0); /// Return the hexadecimal text representation of number `n`, padded with zeroes to be of length `p`
    const data = crypto.getRandomValues(new Uint8Array(16)); /// Fill the buffer with random data
    data[6] = (data[6] & 0xf) | 0x40; /// Patch the 6th byte to reflect a version 4 UUID
    data[8] = (data[8] & 0x3f) | 0x80; /// Patch the 8th byte to reflect a variant 1 UUID (version 4 UUIDs are)
    const view = new DataView(data.buffer); /// Create a view backed by a 16-byte buffer
    return `${ho(view.getUint32(0), 8)}-${ho(view.getUint16(4), 4)}-${ho(view.getUint16(6), 4)}-${ho(view.getUint16(8), 4)}-${ho(view.getUint32(10), 8)}${ho(view.getUint16(14), 4)}`; /// Compile the canonical textual form from the array data
};

我更喜欢,因为:

它只依赖于标准 ECMAScript 平台的功能,在可能的情况下 - 这只是一个程序它只使用一个单一的泡沫,尽量减少数据的复制,这在理论上应该带来性能优势。

在写这篇文章时, getRandomValues 不是在 Node.js 中的加密对象中实施的东西,但是它具有相同的随机Bytes 功能,可以用来代替它。