为了好玩，这里有一个基于流的版本，它与highland.js streams库一起工作。作者之一是维克多·伍。

###
  directory >---m------> dirFilesStream >---------o----> out
                |                                 |
                |                                 |
                +--------< returnPipe <-----------+

  legend: (m)erge  (o)bserve

 + directory         has the initial file
 + dirListStream     does a directory listing
 + out               prints out the full path of the file
 + returnPipe        runs stat and filters on directories

###

_ = require('highland')
fs = require('fs')
fsPath = require('path')

directory = _(['someDirectory'])
mergePoint = _()
dirFilesStream = mergePoint.merge().flatMap((parentPath) ->
  _.wrapCallback(fs.readdir)(parentPath).sequence().map (path) ->
    fsPath.join parentPath, path
)
out = dirFilesStream
# Create the return pipe
returnPipe = dirFilesStream.observe().flatFilter((path) ->
  _.wrapCallback(fs.stat)(path).map (v) ->
    v.isDirectory()
)
# Connect up the merge point now that we have all of our streams.
mergePoint.write directory
mergePoint.write returnPipe
mergePoint.end()
# Release backpressure.  This will print files as they are discovered
out.each H.log
# Another way would be to queue them all up and then print them all out at once.
# out.toArray((files)-> console.log(files))

There are basically two ways of accomplishing this. In an async environment you'll notice that there are two kinds of loops: serial and parallel. A serial loop waits for one iteration to complete before it moves onto the next iteration - this guarantees that every iteration of the loop completes in order. In a parallel loop, all the iterations are started at the same time, and one may complete before another, however, it is much faster than a serial loop. So in this case, it's probably better to use a parallel loop because it doesn't matter what order the walk completes in, just as long as it completes and returns the results (unless you want them in order).

一个平行循环看起来是这样的:

var fs = require('fs');
var path = require('path');
var walk = function(dir, done) {
  var results = [];
  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) {
      file = path.resolve(dir, file);
      fs.stat(file, function(err, stat) {
        if (stat && stat.isDirectory()) {
          walk(file, function(err, res) {
            results = results.concat(res);
            if (!--pending) done(null, results);
          });
        } else {
          results.push(file);
          if (!--pending) done(null, results);
        }
      });
    });
  });
};

一个串行循环看起来像这样:

var fs = require('fs');
var path = require('path');
var walk = function(dir, done) {
  var results = [];
  fs.readdir(dir, function(err, list) {
    if (err) return done(err);
    var i = 0;
    (function next() {
      var file = list[i++];
      if (!file) return done(null, results);
      file = path.resolve(dir, file);
      fs.stat(file, function(err, stat) {
        if (stat && stat.isDirectory()) {
          walk(file, function(err, res) {
            results = results.concat(res);
            next();
          });
        } else {
          results.push(file);
          next();
        }
      });
    })();
  });
};

并且在你的主目录中测试它(警告:如果你的主目录中有很多东西，结果列表将会非常大):

walk(process.env.HOME, function(err, results) {
  if (err) throw err;
  console.log(results);
});

编辑:改进的示例。

a .看一下文件模块。它有一个叫walk的函数:

文件。步行(开始,回调) 导航文件树，为每个目录调用回调，传入 (null, dirPath, dirs, files)。

这可能是为你准备的!是的，它是异步的。但是，如果需要的话，我认为您必须自己聚合完整的路径。

B.另一种选择，甚至是我的最爱之一:使用unix find来查找。为什么要再做一件已经编程好的事情呢?也许不是你真正需要的，但仍然值得一试:

var execFile = require('child_process').execFile;
execFile('find', [ 'somepath/' ], function(err, stdout, stderr) {
  var file_list = stdout.split('\n');
  /* now you've got a list with full path file names */
});

Find有一个很好的内置缓存机制，使得后续搜索非常快，只要只有少数文件夹被更改。

如果你想使用npm包，扳手是很好的选择。

var wrench = require("wrench");

var files = wrench.readdirSyncRecursive("directory");

wrench.readdirRecursive("directory", function (error, files) {
    // live your dreams
});

编辑(2018): 作者在2015年弃用了这个包:

扳手.js已弃用，并且在相当长的一段时间内没有更新。我强烈建议使用fs-extra来执行任何额外的文件系统操作。

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);
});

为了以防有人发现它有用，我还整理了一个同步版本。

var walk = function(dir) {
    var results = [];
    var list = fs.readdirSync(dir);
    list.forEach(function(file) {
        file = dir + '/' + file;
        var stat = fs.statSync(file);
        if (stat && stat.isDirectory()) { 
            /* Recurse into a subdirectory */
            results = results.concat(walk(file));
        } else { 
            /* Is a file */
            results.push(file);
        }
    });
    return results;
}

提示:在筛选时使用更少的资源。这个函数本身的过滤器。例如:替换results.push(文件);下面的代码。根据需要调整:

    file_type = file.split(".").pop();
    file_name = file.split(/(\\|\/)/g).pop();
    if (file_type == "json") results.push(file);