How nodejs implements bigpipe asynchronously loading pages

This article shares with you the solution of using nodejs combined with bigpipe to implement asynchronous loading of pages. It is very practical and is also a direction for future front-end performance optimization. I hope you will like it.

Bigpipe introduces

Facebook's first asynchronous loading page solution that reduces HTTP requests and quickly loads the first screen. It is a direction for front-end performance optimization.

Comparison between BigPipe and AJAX

AJAX is mainly XMLHttpRequest. The front end asynchronously requests the server to obtain dynamic data and add it to the web page. Such round-trip requests take time, and BigPipe technology does not need to send XMLHttpRequest requests, thus saving time. Another benefit of reducing requests is a direct reduction in server load. Another difference is that the server waits before the AJAX request. Page is waiting after request. BIGPIPE can work in parallel on the front and back ends, which also brings efficiency improvements.

Bigpipe Disadvantages

SEO issues. Facebook's dynamic display content is mainly customer-oriented personalized pages. The requirements for SEO are not high. And if BIGPIPE technology is used on Taobao, SEO problems will be obvious. I am not sure how well Baidu supports the search for this kind of dynamic page. In fact, there will also be problems in this regard when using ANGULARJS to dynamically bind data. Therefore, pages with SEO needs need to carefully consider whether to use BIGPIPE technology. (It is known that GOOGLE search is optimized for ANGULAR's SEO.) As for Baidu -. -Look at the picture below to know

NODEJS implementation

js introduced by bigpipe.js page

var Bigpipe=function(){ this.callbacks={}; } Bigpipe.prototype.ready=function(key,callback){ if(!this.callbacks[key]){ this.callbacks[key]=[]; } this.callbacks[key].push(callback); } Bigpipe.prototype.set=function(key,data){ var callbacks=this.callbacks[key]||[]; for(var i=0;i
        

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app.js server code

var express = require('express'); var path = require('path'); var http = require('http'); var ejs = require('ejs'); var app = express(); app.set('port', process.env.PORT || 3000); app.use(express.static(path.join(__dirname, 'public'))); app.engine('.html', ejs.__express); app.set('view engine', 'html'); app.get('/index.html', function (req, res) { res.render('index', { title: "测试" }, function (err, str) { res.write(str) }) var Pagelets_list ={ pagelet1:false, pagelet2:false } var data = {is: "true"}; function is_end(Pagelets) { Pagelets_list[Pagelets]=true; for (x in Pagelets_list) { if(!Pagelets_list[x]){ return; } } res.end(); return; } function Pagelets(Pagelets) { res.write(''); is_end(Pagelets) } setTimeout(function(){Pagelets("pagelet1");},1000); setTimeout(function(){Pagelets("pagelet2");},3000); }); http.createServer(app).listen(3000);

index.html front-end code

              
  
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Summary

In fact, the specific implementation of Bigpipe technology requires the cooperation of server code. During development, I feel that functions account for 20% and optimization accounts for 80% of the workload. Optimization is often more difficult than development. Still high. A possible understanding of the full stack is also required. So now nodejs as the middle layer that separates the front and back ends is a solution that I personally think is more reasonable. If the front-end and back-end complete the middle layer separation of nodejs, the implementation of Bigpipe technology will be an optimization that the front-end can complete independently. Improve first screen loading time. And improving the loading time of the entire web page will have a certain effect on increasing the number of views.

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