关于使用fs.readdir进行异步目录搜索有什么想法吗?我意识到我们可以引入递归,并调用read目录函数来读取下一个目录,但我有点担心它不是异步的…
什么好主意吗?我已经看了node-walk,它很棒,但它不能像readdir那样只给我数组中的文件。虽然
寻找这样的输出…
['file1.txt', 'file2.txt', 'dir/file3.txt']
关于使用fs.readdir进行异步目录搜索有什么想法吗?我意识到我们可以引入递归,并调用read目录函数来读取下一个目录,但我有点担心它不是异步的…
什么好主意吗?我已经看了node-walk,它很棒,但它不能像readdir那样只给我数组中的文件。虽然
寻找这样的输出…
['file1.txt', 'file2.txt', 'dir/file3.txt']
当前回答
递归-readdir模块具有此功能。
其他回答
递归-readdir模块具有此功能。
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);
现代基于promise的读dir递归版本:
const fs = require('fs');
const path = require('path');
const readDirRecursive = async (filePath) => {
const dir = await fs.promises.readdir(filePath);
const files = await Promise.all(dir.map(async relativePath => {
const absolutePath = path.join(filePath, relativePath);
const stat = await fs.promises.lstat(absolutePath);
return stat.isDirectory() ? readDirRecursive(absolutePath) : absolutePath;
}));
return files.flat();
}
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));
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。