这是一个简单的同步递归解决方案

const fs = require('fs')

const getFiles = path => {
    const files = []
    for (const file of fs.readdirSync(path)) {
        const fullPath = path + '/' + file
        if(fs.lstatSync(fullPath).isDirectory())
            getFiles(fullPath).forEach(x => files.push(file + '/' + x))
        else files.push(file)
    }
    return files
}

用法:

const files = getFiles(process.cwd())

console.log(files)

您可以异步地编写它，但是没有必要。只需确保输入目录存在并且可以访问。

这是另一个实现。上述解决方案都没有任何限制，因此如果您的目录结构很大，它们都会崩溃并最终耗尽资源。

var async = require('async');
var fs = require('fs');
var resolve = require('path').resolve;

var scan = function(path, concurrency, callback) {
    var list = [];

    var walker = async.queue(function(path, callback) {
        fs.stat(path, function(err, stats) {
            if (err) {
                return callback(err);
            } else {
                if (stats.isDirectory()) {
                    fs.readdir(path, function(err, files) {
                        if (err) {
                            callback(err);
                        } else {
                            for (var i = 0; i < files.length; i++) {
                                walker.push(resolve(path, files[i]));
                            }
                            callback();
                        }
                    });
                } else {
                    list.push(path);
                    callback();
                }
            }
        });
    }, concurrency);

    walker.push(path);

    walker.drain = function() {
        callback(list);
    }
};

使用50的并发工作得非常好，并且几乎和小型目录结构的简单实现一样快。

使用bluebird promise.coroutine:

let promise = require('bluebird'),
    PC = promise.coroutine,
    fs = promise.promisifyAll(require('fs'));
let getFiles = PC(function*(dir){
    let files = [];
    let contents = yield fs.readdirAsync(dir);
    for (let i = 0, l = contents.length; i < l; i ++) {
        //to remove dot(hidden) files on MAC
        if (/^\..*/.test(contents[i])) contents.splice(i, 1);
    }
    for (let i = 0, l = contents.length; i < l; i ++) {
        let content = path.resolve(dir, contents[i]);
        let contentStat = yield fs.statAsync(content);
        if (contentStat && contentStat.isDirectory()) {
            let subFiles = yield getFiles(content);
            files = files.concat(subFiles);
        } else {
            files.push(content);
        }
    }
    return files;
});
//how to use
//easy error handling in one place
getFiles(your_dir).then(console.log).catch(err => console.log(err));

qwtel的答案变体，在TypeScript中

import { resolve } from 'path';
import { readdir } from 'fs/promises';

async function* getFiles(dir: string): AsyncGenerator<string> {
    const entries = await readdir(dir, { withFileTypes: true });
    for (const entry of entries) {
        const res = resolve(dir, entry.name);
        if (entry.isDirectory()) {
            yield* getFiles(res);
        } else {
            yield res;
        }
    }
}

这就是我的答案。希望它能帮助到一些人。

我的重点是使搜索例程可以停在任何地方，对于找到的文件，告诉原始路径的相对深度。

var _fs = require('fs');
var _path = require('path');
var _defer = process.nextTick;

// next() will pop the first element from an array and return it, together with
// the recursive depth and the container array of the element. i.e. If the first
// element is an array, it'll be dug into recursively. But if the first element is
// an empty array, it'll be simply popped and ignored.
// e.g. If the original array is [1,[2],3], next() will return [1,0,[[2],3]], and
// the array becomes [[2],3]. If the array is [[[],[1,2],3],4], next() will return
// [1,2,[2]], and the array becomes [[[2],3],4].
// There is an infinity loop `while(true) {...}`, because I optimized the code to
// make it a non-recursive version.
var next = function(c) {
    var a = c;
    var n = 0;
    while (true) {
        if (a.length == 0) return null;
        var x = a[0];
        if (x.constructor == Array) {
            if (x.length > 0) {
                a = x;
                ++n;
            } else {
                a.shift();
                a = c;
                n = 0;
            }
        } else {
            a.shift();
            return [x, n, a];
        }
    }
}

// cb is the callback function, it have four arguments:
//    1) an error object if any exception happens;
//    2) a path name, may be a directory or a file;
//    3) a flag, `true` means directory, and `false` means file;
//    4) a zero-based number indicates the depth relative to the original path.
// cb should return a state value to tell whether the searching routine should
// continue: `true` means it should continue; `false` means it should stop here;
// but for a directory, there is a third state `null`, means it should do not
// dig into the directory and continue searching the next file.
var ls = function(path, cb) {
    // use `_path.resolve()` to correctly handle '.' and '..'.
    var c = [ _path.resolve(path) ];
    var f = function() {
        var p = next(c);
        p && s(p);
    };
    var s = function(p) {
        _fs.stat(p[0], function(err, ss) {
            if (err) {
                // use `_defer()` to turn a recursive call into a non-recursive call.
                cb(err, p[0], null, p[1]) && _defer(f);
            } else if (ss.isDirectory()) {
                var y = cb(null, p[0], true, p[1]);
                if (y) r(p);
                else if (y == null) _defer(f);
            } else {
                cb(null, p[0], false, p[1]) && _defer(f);
            }
        });
    };
    var r = function(p) {
        _fs.readdir(p[0], function(err, files) {
            if (err) {
                cb(err, p[0], true, p[1]) && _defer(f);
            } else {
                // not use `Array.prototype.map()` because we can make each change on site.
                for (var i = 0; i < files.length; i++) {
                    files[i] = _path.join(p[0], files[i]);
                }
                p[2].unshift(files);
                _defer(f);
            }
        });
    }
    _defer(f);
};

var printfile = function(err, file, isdir, n) {
    if (err) {
        console.log('-->   ' + ('[' + n + '] ') + file + ': ' + err);
        return true;
    } else {
        console.log('... ' + ('[' + n + '] ') + (isdir ? 'D' : 'F') + ' ' + file);
        return true;
    }
};

var path = process.argv[2];
ls(path, printfile);

下面是完整的工作代码。按您的要求。您可以递归地获取所有文件和文件夹。

var recur = function(dir) {
            fs.readdir(dir,function(err,list){
                list.forEach(function(file){
                    var file2 = path.resolve(dir, file);
                    fs.stat(file2,function(err,stats){
                        if(stats.isDirectory()) {
                            recur(file2);
                        }
                        else {
                            console.log(file2);
                        }
                    })
                })
            });
        };
        recur(path);

在路径中给出你想要搜索的目录路径，如"c:\test"