Single Server request per page vs SPA Application - angularjs

I had the idea to make a SPA application using angularJS and then just sending AJAX updates to the server when I need.
My initial idea would be make the client application fly, but if I have to do an AJAX round trip to the server, I think the time would be approximately the same as to request a single web page.
Requesting a page just has more bytes of data, is not like I'm requesting 20 resources like in this article: https://community.compuwareapm.com/community/display/PUB/Best+Practices+on+Network+Requests+and+Roundtrips
I would be requesting a page or resource per request.
So in the end even if I create my client side application as a SPA using angularJS, these requests (would have to be synchronous and show a please wait message while they don't return, as I don't want to user to take more actions before I make sure his request passes validation and is processed correctly) would take some time and make user wait, just about the same time as requesting a full page.
I think SPA pages would be very useful if I have like a wizard on my app with multiple pages/steps and at the end, submit the results of wizard, to the server, which I don't.
Also found this article:
https://help.optimizely.com/hc/en-us/articles/203326524-AngularJS-Backbone-js-and-other-Single-Page-Applications
One of the biggest advantages of Single Page Apps is that they reduce
data transfer. As a result, pages after the initial loading usually
can be displayed faster and seem more interactive.
But I don't believe this last quote is really true.
Am I right, or is there a way that I'm not seeing to build an application that would look like it's executing locally?
I know how guys will start saying "depends on what you want", but lets focus on this scenario where there's no wizards.

What ever you said is right. But most of the frameworks(Angular,BackBone) you take they are going to cache the templates of html on the browser so the rendering would be pretty fast compared to the normal applications. Traditional apps will have to fetch the html from the server for each request which is a time consuming one.
Hope this helps you!!!

If you are wanting to go through that syncronous server side validation step for each page request, then there is probably no big advantage to using AngularJS.
If you are requesting a page and then manipulating that page's contents once it's loaded you might want to consider AngularJS. A good example would be requesting a page that displays a list of items. Now let's say we want to search that list or order it in different ways. Rather than using AJAX to call the server to filter the list and then re-render it, it could be much faster to user AngularJS to filter and re-render the list without making any further requests to the server.

Related

Fetching data every time page is reloaded

I am creating an eCommerce-type website with react and Laravel with the REST APIs. Every time user enters page www.mywebsite.com/products a rest API is called to get all the products, and it takes like a second to load all of them. If the user leaves the page and enters it again, the same request is called, and the same products are loaded.
My question is: What's the best approach for this situation? Maybe I should somehow fetch the products only once, store them inside localStorage and get them using Context? On the other hand, most of the websites I visit seem to load products instantly, so maybe even the REST API is the wrong approach for this kind of website?
I would suggest to check your DB queries and investigate why this request takes so long. Have a look at the laravel Telescope package: https://laravel.com/docs/9.x/telescope
In the request tab you can follow your requests and see which queries are the most expensive ones. My guess is that you're lazy loading some relations on each product.
Next I would propably cache the articles (expect maybe the stock information). Use the built-in feature of laravel or maybe a third party package like this one
Only then I would go for client-side optimizations. Here you should consider maybe a state management extension like akita.

Cache issues: React + REST server behind CDN

I am looking for a pattern that would allow me to better the UX for my users. I have a REST server running behind CloudFront being consumed from a plain React application on the frontend.
I'll simplify my example to illustrate my issue.
I have an endpoint called GET /posts/<id>. When the browser asks for it, it comes with a max=age=180 which means it would get stored in the browser's cache and any subsequent call to GET /posts/<id> will be served from the browser's cache for the duration of those 180 seconds, after which it will hit the CDN again to try and obtain a fresh copy.
That is okay for most users. I don't mind if updates to any post to delay up to 3 minutes before they're propagated to all the users. But there is one user who's the author of this post. That user can make changes to this post using PATCH /posts/<id>. Let's call that user The Editor.
Here's a scenario I have right now:
The Editor loads up the post page which then calls GET /posts/5
The CDN serves the latest copy to the front end.
the Editor then makes a change to the post and submits it to be back end via PATCH /posts/5.
The editor then refreshes his browser tab using Command-R (or CTRL-R).
As a result, the front end then requests GET /posts/5 again -- but gets the stale copy from before the changes because 180 seconds haven't passed yet since the last GET and the GET issued after the PATCH
What I'd like the experience to be is:
The Editor loads up the post page which then calls GET /posts/5
The CDN serves the latest copy to the front end.
The editor then makes a change to the post and submits it to be back end via PATCH /posts/5.
After a Command-R browser tab refresh the GET /posts/5 brings back a copy of the data with the changes the editor made with PATCH right away, regardless of the 180 seconds of ttl before a fresh copy can be obtained.
As for the rest of the users, it's perfectly okay for them to wait up to 180 seconds before the change in the post propagates to them when the GET /posts/5
I am using Axios, but I do not that SWR and React-Query support mutations. To my understanding this would allow the editor to declare a mutation for the object he just PATCH'ed on the server, so that any subsequent calls he makes to GET /posts/5 will be served from there, until a fresher version can be obtained from the backend.
My questions are:
Can SWR with "mutations" serve the mutated object via the GET /posts/5 transparently?
Will the mutation survive a hard browser tab refresh? or a browser closure, re-opening and subsequent /GET posts/5?
Is there another pattern/best practice to solve that?
TL;DR: Just append a harmless, gibberish querystring to the end of the request GET /posts/<id>?version=whatever
Good question. I must admit I don't know the full answer to this problem, but I want to share one well-known technique among frontend devs.
The technique is called cache busting. I'm not sure if this is the best practice, but I'm pretty sure it's widely practiced, since it's so straight-forward to understand.
Idea is simple. When you add a changed querystring to the end, you effectively change the URL, thus no cache is hit, you evade the whole cache problem.
So the detail steps to a solution for your particular use case would go like this:
Normally you'll just request GET /posts/<id> for all users
When a user logs in, a hash key is generated from whatever algorithm. For simplicity let's just use increasing integer and call it version. You store this version in localStorage so it can survive through page refresh.
Now you need to distinguish scenario when the user is viewing his own posts or other's posts. When guy is viewing his own, you always use GET /posts/<id>?version=n
Whenever the user edits his post and hits save button, you bump version from n to n+1
Next time he goes to post view page, the app requests GET /posts/<id>?version=n+1 which is not cached, and would retrieve the up-to-date content.
One last thing, make sure your server safely ignores that ?version=n querystring.
I'm sure there're other solutions to this problem. I'm no expert of server config and HTTP headers so I'm not getting into that topic, but there must be something to look for.
As of pure frontend solution, there's Serivce Worker API for you to consider. The main point of this API is to enable devs to programmatically control cache strategies.
With this API, you could leave your current app code as-is, just install a service worker, then you could use the same cache busting technique in the background to fetch new content, or just delete the cache (using Cache API) when user edits, or even fake a response for the GET /posts/<id> from the PATCH /posts/<id> that user just send.
Depending on what CDN you use, you can invalidate a cache manually when publishing updates to a post. For example cloudfront lets you specify which path you want to fetch fresh on the next request.
For sites with lots of traffic but few updates this works pretty well, and is quite simple to implement. For sites with a lot of authors and frequently changing content you would need to get more creative though.
One strategy I've used in the past is using a technique called object versioning, where instead of invalidating the cache to an object you just publish a version of it with a timestamp. This would also mean you need to publish a manifest file when your frontend loads. The manifest contains the latest timestamps of all the content the page needs to load, and is on a much shorter TTL than the rest of the content. When you publish a new version of a post you would update the timestamp in the manifest, and the frontend pulls the latest version of it the next time the page loads.

How to handle millions of records in react js and sails js

I have a table having millions of records. I am using Sails js as my server side code , React js to render data in view and Mysql as my DBMS. So what is the best method to retrieve the data in faster manner.
Like the end user does not feel like getting a huge amount of data which affects UI as well.
Shall I bring only 50 records first and show the pagination in bottom using pagination logic and then using socket.io fetch the rest in background ?
Or any good way of handling it ?
This really depends on how you expect your user to go through the data.
You will probably want an API call for getting only the first page of data (likely in such a way that you can fetch any page: api/my-data/<pagesize>/<pagenumber>).
Then it depends on what you expect your user to do. Is he going to click through every page to see all the data? In that case, it seems ok to load all the others as well as you mentioned. This seems unlikely to me, however.
If you expect your user to only view a few pages, you could load the data for the next page in the background (api/my-data/<pagesize>/<currentpage+1>), and then load the next page every time the user navigates.
Then you probably still need to support jumping to a certain page number, where you will need to check if you have the data or not, and then show a loading state (or nothing) while the data is being fetched.
All this said I don't see why you would need socket.io instead of normal requests (you really only need socket.io if the server needs to be abled to make 'requests' to the client so to speak)

How to update a current page without refreshing it using node?

Im trying to create a web page similar to Facebook Home page using MEAN stack.
So when you add a new post, the page adds the post without refreshing it. And if I delete the post the page will delete the post without refreshing the page also.
Should I be using Ajax, Socket io, or etc? not really sure what is the best practice to implement that.
if you have a working example, that will be great.
Thanks
What are you asking for is a situation called server-push where you want the server to be able to notify an open web page about some sort of change so Javascript in the page can then update the display of the page without reloading it.
The usual way in modern browsers to implement server-push is to make a webSocket connection from the browser web page back to the server. This webSocket connection will then stay open and the server is free to send messages to the web page at any time (announcing new posts or deleted posts) and the Javascript in the webpage can then update the display accordingly.
A common implementation of webSocket that works in node.js and all browsers is the socket.io library that you mentioned. It adds some useful features on top of webSockets such as auto-reconnect and a simple message-passing system.
The other less-efficient way to do this is for each web page to send a recurring ajax call (say every minute) to the server asking what has changed recently. But, since this results in a lot of ajax calls where nothing has changed, this can end up being significantly less efficient for both server load and bandwidth usage.
SocketStream is a good solution:
https://github.com/socketstream/socketstream
There are many examples. It will take some time.

Why is single-page apps faster when it generally has to make more requests per page?

How are single-page apps (SPAs) supposed to be faster when generally SPAs have to make multiple requests to get data for different parts on the page? As opposed to rendering server side, where the browser only has to make a single request to get the whole page?
I also remember reading somewhere that opening/closing a web request is the bottleneck sometimes in web requests.
So why does an approach that makes more requests per page is supposed to make web sites faster?
Because you only load what you need.
For example, on a "normal" web page, the menu, sidebar, etc. would have to be rerendered on each page, but with an SPA only the content gets changed.
In addition, think of this case: A website that displays 100,000 items on the front page (with pictures). In the traditional case, it will take a long time to load the page, but with an SPA you only load the "first screen" (i.e. what the user can see), and load the rest as he scrolls down.
In other words, SPAs aren't magic: it's just that they only need to update the bits of the page that change, which makes the response time lower for users (i.e. they can "use" the new contact faster).
If well done, they are faster because:
Part of the server workload is offset to the client.
Only the needed page fragments are loaded at any given time.
Redundant templating code is reduced. One template can style many items, as opposed to having to output a lot of HTML for a full page at once.
They also facilitate lazy loading and the download of new data during idle times, and parallelism: the concurrent downloads of elements.
Usually SPA are built with a lazy mode approach: get the info only when you need it and if you need it.
Also usually the data coming to and from the spa is in a format (json for example) which focuses on the data only. The presentation layer is a concern of the SPA and all the required assets should be already loaded.
So usually they are faster and more maintainable.
It is not always the case though.

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