对于这样一个简单的操作，不应该依赖于任何第三方模块。去容易。

var fs = require('fs'),
    readline = require('readline');

var rd = readline.createInterface({
    input: fs.createReadStream('/path/to/file'),
    output: process.stdout,
    console: false
});

rd.on('line', function(line) {
    console.log(line);
});

从Node.js v0.12和Node.js v4.0.0开始，有一个稳定的readline核心模块。下面是从文件中读取行，不需要任何外部模块的最简单方法:

const fs = require('fs');
const readline = require('readline');

async function processLineByLine() {
  const fileStream = fs.createReadStream('input.txt');

  const rl = readline.createInterface({
    input: fileStream,
    crlfDelay: Infinity
  });
  // Note: we use the crlfDelay option to recognize all instances of CR LF
  // ('\r\n') in input.txt as a single line break.

  for await (const line of rl) {
    // Each line in input.txt will be successively available here as `line`.
    console.log(`Line from file: ${line}`);
  }
}

processLineByLine();

或者:

var lineReader = require('readline').createInterface({
  input: require('fs').createReadStream('file.in')
});

lineReader.on('line', function (line) {
  console.log('Line from file:', line);
});

最后一行被正确读取(截至Node v0.12或更高版本)，即使没有最后的\n。

更新:此示例已添加到Node的API官方文档中。

这是我最喜欢的浏览文件的方式，是使用现代async/await进行渐进式(不是“slurp”或全内存方式)文件读取的简单本机解决方案。在处理大型文本文件时，我发现这是一种“自然”的解决方案，而不必求助于readline包或任何非核心依赖项。

let buf = '';
for await ( const chunk of fs.createReadStream('myfile') ) {
    const lines = buf.concat(chunk).split(/\r?\n/);
    buf = lines.pop();
    for( const line of lines ) {
        console.log(line);
    }
}
if(buf.length) console.log(buf);  // last line, if file does not end with newline

您可以在fs中调整编码。creatererestream或使用chunk.toString(<arg>)。这也让你更好地微调线分裂到你的口味，即。使用.split(/\n+/)跳过空行，用{highWaterMark: <chunkSize>}控制块大小。

Don't forget to create a function like processLine(line) to avoid repeating the line processing code twice due to the ending buf leftover. Unfortunately, the ReadStream instance does not update its end-of-file flags in this setup, so there's no way, afaik, to detect within the loop that we're in the last iteration without some more verbose tricks like comparing the file size from a fs.Stats() with .bytesRead. Hence the final buf processing solution, unless you're absolutely sure your file ends with a newline \n, in which case the for await loop should suffice.

★如果你更喜欢事件异步版本，这将是它:

let buf = '';
fs.createReadStream('myfile')
.on('data', chunk => {
    const lines = buf.concat(chunk).split(/\r?\n/);
    buf = lines.pop();
    for( const line of lines ) {
        console.log(line);
    }
})
.on('end', () => buf.length && console.log(buf) );

★现在如果你不介意导入流核心包，那么这是等效的管道流版本，它允许链接转换，如gzip解压:

const { Writable } = require('stream');
let buf = '';
fs.createReadStream('myfile').pipe(
    new Writable({
        write: (chunk, enc, next) => {
            const lines = buf.concat(chunk).split(/\r?\n/);
            buf = lines.pop();
            for (const line of lines) {
                console.log(line);
            }
            next();
        }
    })
).on('finish', () => buf.length && console.log(buf) );

有一个很好的模块可以逐行读取文件，它叫做行读取器

用它你只需要写:

var lineReader = require('line-reader');

lineReader.eachLine('file.txt', function(line, last) {
  console.log(line);
  // do whatever you want with line...
  if(last){
    // or check if it's the last one
  }
});

如果你需要更多的控制，你甚至可以用“java风格”界面迭代文件:

lineReader.open('file.txt', function(reader) {
  if (reader.hasNextLine()) {
    reader.nextLine(function(line) {
      console.log(line);
    });
  }
});

const fs = require("fs")

fs.readFile('./file', 'utf-8', (err, data) => {
var innerContent;
    console.log("Asynchronous read: " + data.toString());
    const lines = data.toString().split('\n')
    for (let line of lines)
        innerContent += line + '<br>';


});

你可以自己卷行读卡器。我还没有对这段代码进行基准测试，但它正确地将传入的块流分割成没有结尾的'\n'的行。

var last = "";

process.stdin.on('data', function(chunk) {
    var lines, i;

    lines = (last+chunk).split("\n");
    for(i = 0; i < lines.length - 1; i++) {
        console.log("line: " + lines[i]);
    }
    last = lines[i];
});

process.stdin.on('end', function() {
    console.log("line: " + last);
});

process.stdin.resume();

我确实在处理一个快速日志解析脚本时想到了这个，该脚本需要在日志解析期间积累数据，我觉得尝试使用js和node而不是使用perl或bash来做这件事会很好。

无论如何，我确实觉得小的nodejs脚本应该是自包含的，不依赖于第三方模块，所以在读完这个问题的所有答案后，每个答案都使用不同的模块来处理行解析，一个13 SLOC原生nodejs解决方案可能会感兴趣。