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fast-streamsearch

v1.0.1

Published

Streaming searching for Node.js, but up to 100 times faster than streamsearch 🚀

Downloads

13

Readme

⚠️ This repo has Moved to @stream-toolbox/search

fast-streamsearch

fast-streamsearch 是一款 Node.js 流搜索工具,最快可以比 streamsearch 快 100 倍 🚀。

简体中文English

特点

  • 速度快
  • 零依赖,仅 100 多行代码
  • 匹配成功时可以为后面的内容设置新的 needle
  • 所有回调的 data 都是安全的(不会被改变)

安装

npm i fast-streamsearch

快速开始

const { inspect } = require("util");
const FastStreamSearch = require("fast-streamsearch");

const needle = Buffer.from("\r\n");
const fss = new FastStreamSearch(needle, (isMatch, data) => {
  if (isMatch) {
    console.log("match!");
  } else {
    console.log("data: " + inspect(data.toString("latin1")));
  }
});

const chunks = ["foo", " bar", "\r", "\n", "baz, hello\r", "\n world.", "\r\n Node.JS rules!!\r\n\r\n"];
for (const chunk of chunks) {
  fss.push(Buffer.from(chunk));
}

// data: 'foo'
// data: ' bar'
// match!
// data: 'baz, hello'
// match!
// data: ' world.'
// match!
// data: ' Node.JS rules!!'
// match!
// match!

你甚至可以使用不同的 needle:

const { inspect } = require("util");
const FastStreamSearch = require("fast-streamsearch");

const foo = Buffer.from("foo");
const bar = Buffer.from("bar");

const fss = new FastStreamSearch(foo, (isMatch, data) => {
  if (isMatch) {
    console.log(`match ${fss.needle.toString("latin1")}!`);
    if (fss.needle === foo) {
      fss.setNeedle(bar);
    }
  } else {
    console.log("data: " + inspect(data.toString("latin1")));
  }
});

const chunks = ["ab", "foo", "cd", "foo", "ef", "bar"];
for (const chunk of chunks) {
  fss.push(Buffer.from(chunk));
}

// data: 'ab'
// match foo!
// data: 'cd'
// data: 'foo'
// data: 'ef'
// match bar!

API

构造函数

new FastStreamSearch(needle: Buffer, callback: function)

创建一个用于搜索 needle 的实例。当匹配成功时或有肯定不匹配的数据时,回调函数会执行,回调参数如下:

  • isMatch
    • 类型: boolean
    • 说明: 表示是否匹配到了 needle
  • data
    • 类型: Buffer
    • 说明: 不可能匹配上 needle 的数据。当 isMatchtrue 时,data 为空,反之,data 不为空

属性

  • needle
    • 类型: Buffer
    • 说明: 当前匹配过程正在使用的 needle

方法

  • push(chunk: Buffer): 添加新的待搜索 chunk
  • end(): 当流结束时调用,会回调出最后剩余的未匹配数据。
  • setNeedle(needle: Buffer): 更新搜索过程中使用的 needle,只有当匹配成功时可以调用,否则会导致不可预期的后果。
  • init(): 重置内部状态,如果你想搜索一个新的流时,可以使用,否则请不要调用。

streamsearch vs fast-streamsearch

以下结果为搜索一个 4GB 大小的流的耗时情况

为什么 fast-streamsearch 更快

fast-streamsearch 的整个搜索过程采用的是 boyer-moore-horspool 算法,但当待匹配内容可以直接使用 Buffer 原生的 indexOf 方法进行匹配时,会优先使用 indexOf 来进行匹配,并根据 indexOf 的结果推动整体的搜索指针前进。这么做的好处在于原生的 indexOf 通常比 horspool 算法有更快的速度,特别是 needle 较短时,速度优势非常明显,horspool 算法在 needle 较长时会比 indexOf 快一点,但优势不明显。所以 fast-streamsearch 通常会比只基于 horspool 算法的 streamsearch 更快,尤其是 needle 较短时。当 needle 长度为 1 时,甚至可以比 streamsearch 快 100 倍之多,needle 长度在 256 以下时,也有至少 2 倍的性能优势,大部分搜索场景,needle 都不会太长。所以 fast-streamsearch 通常是更好的选择,不过 streamsearch 也是一个很棒的工具。

附上一段 horspool 与 indexOf 速度对比的代码:

function horspool(haystack, needle) {
  const len = needle.length;
  const last = len - 1;
  const move = new Array(256).fill(len);
  for (let i = 0; i < last; i++) {
    move[needle[i]] = last - i;
  }

  let i = 0;
  let j = 0;
  while (i <= haystack.length - len) {
    const start = i;

    while (j < len && haystack[i] === needle[j]) {
      i++;
      j++;
    }

    if (j === len) {
      return start;
    }

    i = start + move[haystack[start + last]];
    j = 0;
  }
  return -1;
}

const haystack = Buffer.allocUnsafe(2 ** 30); // 1GB
for (let i = 0; i < haystack.length; i++) {
  haystack[i] = Math.floor(Math.random() * 128);
}

const needleLen = 1;
const needle = Buffer.allocUnsafe(needleLen);
for (let i = 0; i < needle.length; i++) {
  needle[i] = 128 + Math.floor(Math.random() * 128);
}

console.time("indexOf");
haystack.indexOf(needle);
console.timeEnd("indexOf");

console.time("horspool");
horspool(haystack, needle);
console.timeEnd("horspool");