我喜欢上面chjj的答案，如果没有那个开始，我就无法创建我的并行循环版本。

var fs = require("fs");

var tree = function(dir, done) {
  var results = {
        "path": dir
        ,"children": []
      };
  fs.readdir(dir, function(err, list) {
    if (err) { return done(err); }
    var pending = list.length;
    if (!pending) { return done(null, results); }
    list.forEach(function(file) {
      fs.stat(dir + '/' + file, function(err, stat) {
        if (stat && stat.isDirectory()) {
          tree(dir + '/' + file, function(err, res) {
            results.children.push(res);
            if (!--pending){ done(null, results); }
          });
        } else {
          results.children.push({"path": dir + "/" + file});
          if (!--pending) { done(null, results); }
        }
      });
    });
  });
};

module.exports = tree;

我也创建了一个Gist。欢迎评论。我仍然在NodeJS领域起步，所以这是我希望学到更多的一种方式。

只是简单的散步

let pending = [baseFolderPath]
function walk () {
    pending.shift();
    // do stuffs width pending[0] and change pending items
    if (pending[0]) walk(pending[0])
}
walk(pending[0])

这是我如何使用nodejs的fs。递归搜索目录的Readdir函数。

const fs = require('fs');
const mime = require('mime-types');
const readdirRecursivePromise = path => {
    return new Promise((resolve, reject) => {
        fs.readdir(path, (err, directoriesPaths) => {
            if (err) {
                reject(err);
            } else {
                if (directoriesPaths.indexOf('.DS_Store') != -1) {
                    directoriesPaths.splice(directoriesPaths.indexOf('.DS_Store'), 1);
                }
                directoriesPaths.forEach((e, i) => {
                    directoriesPaths[i] = statPromise(`${path}/${e}`);
                });
                Promise.all(directoriesPaths).then(out => {
                    resolve(out);
                }).catch(err => {
                    reject(err);
                });
            }
        });
    });
};
const statPromise = path => {
    return new Promise((resolve, reject) => {
        fs.stat(path, (err, stats) => {
            if (err) {
                reject(err);
            } else {
                if (stats.isDirectory()) {
                    readdirRecursivePromise(path).then(out => {
                        resolve(out);
                    }).catch(err => {
                        reject(err);
                    });
                } else if (stats.isFile()) {
                    resolve({
                        'path': path,
                        'type': mime.lookup(path)
                    });
                } else {
                    reject(`Error parsing path: ${path}`);
                }
            }
        });
    });
};
const flatten = (arr, result = []) => {
    for (let i = 0, length = arr.length; i < length; i++) {
        const value = arr[i];
        if (Array.isArray(value)) {
            flatten(value, result);
        } else {
            result.push(value);
        }
    }
    return result;
};

假设在节点项目根目录中有一个名为“/database”的路径。一旦这个承诺被解决，它应该吐出'/database'下的每个文件的数组。

readdirRecursivePromise('database').then(out => {
    console.log(flatten(out));
}).catch(err => {
    console.log(err);
});

对于Node 10.3+，这里是一个For -await解决方案:

#!/usr/bin/env node

const FS = require('fs');
const Util = require('util');
const readDir = Util.promisify(FS.readdir);
const Path = require('path');

async function* readDirR(path) {
    const entries = await readDir(path,{withFileTypes:true});
    for(let entry of entries) {
        const fullPath = Path.join(path,entry.name);
        if(entry.isDirectory()) {
            yield* readDirR(fullPath);
        } else {
            yield fullPath;
        }
    }
}

async function main() {
    const start = process.hrtime.bigint();
    for await(const file of readDirR('/mnt/home/media/Unsorted')) {
        console.log(file);
    }
    console.log((process.hrtime.bigint()-start)/1000000n);
}

main().catch(err => {
    console.error(err);
});

这种解决方案的好处是，您可以立即开始处理结果;例如，读取媒体目录中的所有文件需要12秒，但如果我这样做，我可以在几毫秒内得到第一个结果。

异步

const fs = require('fs')
const path = require('path')

const readdir = (p, done, a = [], i = 0) => fs.readdir(p, (e, d = []) =>
  d.map(f => readdir(a[a.push(path.join(p, f)) - 1], () =>
    ++i == d.length && done(a), a)).length || done(a))

readdir(__dirname, console.log)

Sync

const fs = require('fs')
const path = require('path')

const readdirSync = (p, a = []) => {
  if (fs.statSync(p).isDirectory())
    fs.readdirSync(p).map(f => readdirSync(a[a.push(path.join(p, f)) - 1], a))
  return a
}

console.log(readdirSync(__dirname))

异步读

function readdir (currentPath, done, allFiles = [], i = 0) {
  fs.readdir(currentPath, function (e, directoryFiles = []) {
    if (!directoryFiles.length)
      return done(allFiles)
    directoryFiles.map(function (file) {
      var joinedPath = path.join(currentPath, file)
      allFiles.push(joinedPath)
      readdir(joinedPath, function () {
        i = i + 1
        if (i == directoryFiles.length)
          done(allFiles)}
      , allFiles)
    })
  })
}

readdir(__dirname, console.log)

注意:两个版本都将跟随符号链接(与原始fs.readdir相同)

Filehound库是另一种选择。它将递归地搜索给定目录(默认为工作目录)。它支持各种过滤器、回调、承诺和同步搜索。

例如，搜索当前工作目录中的所有文件(使用回调):

const Filehound = require('filehound');

Filehound.create()
.find((err, files) => {
    if (err) {
        return console.error(`error: ${err}`);
    }
    console.log(files); // array of files
});

或承诺，并指定特定的目录:

const Filehound = require('filehound');

Filehound.create()
.paths("/tmp")
.find()
.each(console.log);

更多的用例和使用示例请参考文档:https://github.com/nspragg/filehound

声明:我是作者。