如何在rxjs中使用节点的变换流?

时间:2015-12-11 19:45:00

标签: node.js stream rxjs

我已经和rxjs一起玩了一段时间了,我喜欢如何使用它的逻辑运算符而不是命令式编程。 然而,我也喜欢节点的流,它也是高度可组合的,所以我明显的反应是使用它们但我还没有看到它被提到很多(实际上,我还没有)除了在rxjs' s book中绑定它。

所以,我的问题是,如何利用RxJS上npm中的所有变换流?或者,甚至可能吗?
例如: -

var fs = require('fs');
var csv = require('csv-parse')({delimiter:';'});
var src = fs.createReadStream('./myFile.csv');
src.pipe(csv).pipe(process.stdout);

基本上,我想这样做: -

var fs = require('fs');
var csv = require('csv-parse')({delimiter:';'});
var rx= require('rx-node');
var src = fs.createReadStream('./myFile.csv');

var obj = rx.fromReadableStream(src);
obj.pipe(csb).map(x=>console.log(x));

过去我被告知要使用highland,但我在此严格寻找rxjs解决方案。

2 个答案:

答案 0 :(得分:4)

你不必使用rx-node,但你可以!请记住:All streams are event emitters!

准备: input.txt

Hello World!
Hello World!
Hello World!
Hello World!
Hello World!

执行命令

npm install through2 split2 rx rx-node

index.js

var Rx = require('rx');
Rx.Node = require('rx-node');
var fs = require('fs');
var th2 = require('through2');
var split2 = require('split2');

var file = fs.createReadStream('./input.txt').on('error', console.log.bind(console, 'fs err'));

var transform = th2(function(ch, en, cb) {
  cb(null, ch.toString());
}).on('error', function(err) {
  console.log(err, err.toString());
});

// All streams are event emitters ! (one way without using rx-node)
// var subs = Rx.Observable.fromEvent(transform, 'data').share();
// subs
//   .map(value => 'Begin line: ' + value)
//   .subscribe(value => console.log(value));

// rx-node has convenience functions (another way)
var subs = Rx.Node.fromTransformStream(transform).share()
  .map(value => 'Begin line: ' + value)
  .subscribe(value => console.log(value));

file.pipe(split2()).pipe(transform);

输出:

Begin line: Hello World!
Begin line: Hello World!
Begin line: Hello World!
Begin line: Hello World!
Begin line: Hello World!

答案 1 :(得分:1)

EdinM给出了一个将RxJS与节点变换流一起使用的一个很好的例子,但你原来的问题仍然没有答案。由于几天前我有几乎相同的问题,我想努力为那些不熟悉将RxJS与Node一起使用的人回答。我没有使用csv-parse模块,而是使用csv-streamify。让我们建立基本结构:

test_data.csv:

thing,name,owner,loc
chair,sitty,billy,san fran
table,setty,bryan,new oak

执行命令

$ npm install rx rx-node csv-streamify

index.js:

"use strict";

const Rx = require('rx');
Rx.Node = require('rx-node');
const fs = require('fs');
const csv = require('csv-streamify');


//Setting up the transform-stream CSV parser

let config = {
  delimiter: ',',       // comma, semicolon, whatever
  newline: '\n',        // newline character (use \r\n for CRLF files)
  quote: '"',           // what's considered a quote
  empty: '',            // empty fields are replaced by this
  //objectMode: true,   //parses csv table into an array of objects
  //columns: true       //uses column headers for the object fields
};

let parseCsv = csv(config);

//Setting up the RxJS Observer

function onNext (x) {
    //do your side-effects here, after the data has 
    //gone through the observables operator chain
    console.log('Next: ' + x); 
};
function onError (err) {
    console.log('Error: ' + err);
};
function onComplete () {
    console.log('Completed');
};

let readStream = fs.createReadStream('test_files/test_data.csv');

readStream.pipe(parseCsv);

let subscription = Rx.Node.fromTransformStream(parseCsv)
    //do something with the data with an operator such as:
    //.map()
    .subscribe(onNext, onError, onComplete);


现在让我们运行代码:

$ node index.js

我们将获得此输出:

Next: ["thing","name","owner","loc\r"]

Next: ["chair","sitty","billy","san fran\r"]

Next: ["table","setty","bryan","new oak"]

Completed


后记

如果在csv配置对象中将objectModecolumns设置为true,然后将此sideEffect函数与map运算符一起投影:

function sideEffect (v){ 
  console.log(v) 
  return v;
};

let subscription = Rx.Node.fromTransformStream(parseCsv)
  .map(sideEffect)
  .subscribe(onNext, onError, onComplete);

您将获得此输出:

{ thing: 'chair',
  name: 'sitty',
  owner: 'billy',
  'loc\r': 'san fran\r' }
Next: [object Object]
{ thing: 'table',
  name: 'setty',
  owner: 'bryan',
  'loc\r': 'new oak' }
Next: [object Object]
Completed