I am creating a question answering application using Node.js + Express for my back-end. Front-end sends the question data to the back-end, which in turn makes requests to multiple third-party APIs to get the answer data.
Problem is, some of those third-party APIs take too long to respond, since they have to do some intense processing and calculations. For that reason, i have already implemented a caching system that saves answer data for each different question. Nevertheless, that first request each time might take up to 5 minutes.
Since my back-end server waits and does not respond back to the front-end until data arrives (the connections are being kept open), it can only serve 6 requests concurrently (that's what I have found). This is unacceptable in terms of performance.
What would be a workaround to this problem? Is there a way to not "clog" the server, so it can serve more than 6 users?
Is there a design pattern, in which the servers gives an initial response, and then serves the full data?
Perhaps, something that sets the request to "sleep" and opens up space for new connections?
Your server can serve many thousands of simultaneous requests if things are coded properly and it's not CPU intensive, just waiting for network responses. This is something that node.js is particularly good at.
A single browser, however, will only send a few requests at a time (it varies by browser) to the same endpoint (queuing the others until the earlier ones finish). So, my guess is that you're trying to test this from a single browser. That's not going to test what you really want to test because the browser itself is limiting the number of simultaneous requests. node.js is particularly good at having lots of request in flight at the same time. It can easily do thousands.
But, if you really have an operation that takes up to 5 minutes, that probably won't even work for an http request from a browser because the browser will probably time out an inactive connection still waiting for a result.
I can think of a couple possible solutions:
First, you could make the first http request be to just start the process and have it return immediately with an ID. Then, the client can check every 30 seconds of so after that sending the ID in an http request and your server can respond whether it has the result yet or not for that ID. This would be a client-polling solution.
Second, you could establish a webSocket or socket.io connection from client to server. Then, send a message over that socket to start the request. Then, whenever the server finishes its work, it can just send the result directly to the client over the webSocket or socket.io connection. After receiving the response, the client can either keep the webSocket/socket.io connection open for use again in the future or it can close it.
I'm looking for technique or skils to fix the ways for new web site.
This site show the read time data which located on server as file or data on memory.
I'll use Node.js for server-side. But I can't fix how to get the data and show that to web site user.
Because this data have to update per 1 second at least.
I think it is similar to the stock price page.
I know there are a lot of ways to access data like AJAX, Angular.js, Socket.io..
Also each has pros and cons.
Which platform or framework is good in this situation?
This ultimately depends on how much control you have over the server side. For data that needs to be refreshed every second, doing the polling on client side would place quite the load on the browser.
For instance, you could do it by simply using one of the many available frameworks to make http requests inside some form of interval. The downsides to this approach include:
the interval needs to be run in the background all the time while the user is on the page
the http request needs to be made for every interval to check if the data has changed
comparison of data also needs to be performed by the browser, which can be quite heavy at 1 sec intervals
If you have some server control, it would be advisable to poll the data source on the server, i.e. using a proxying microservice, and use the server to perform change checking and only send data to clients when it has changed.
You could use Websockets to communicate those changes via a "push" style message instead of making the client browser do the heavy lifting. The flow would go something like:
server starts polling when a new client starts listening on its socket
server makes http requests for each polling interval, runs comparison for each result
when result has changed, server broadcasts a socket message to all connected clients with new data
The main advantage to this is that all the client needs to do is "connect and listen". This even works with data sources you don't control – the server you provide can perform any data manipulation needed before it sends a message to the client, the source just needs to provide data when requested.
EDIT: just published a small library that accomplishes this goal: Mighty Polling ⚡️ Socket Server. Still young, examine for your use if using.
I'm making a client-side Javascript/WebGL media playing app that will send information back to the Rails server. This will be a viewing history object containing things like what was watched, how long for, timestamp, etc.
The app itself encourages many short interactions with media, so I'm expecting a new viewing history entry every second (or even more frequently). My question is which method of sending data back to the server has better performance in this case? A Post HTTP request every second or using Websockets?
Or am I better off cacheing the data client-side and pushing it all in one go every few minutes?
I would recommend you to use Websockets in this case. If you're expecting response from the server that often. It will be better to open a connection to the client and keep the connection alive and just "Play" ping-pong between the server and client instead of opening-closing connections each time if you choose Ajax requests. I wouldn't relay on the Client side to store this data. It can cause too many unpredictable circumstances. Good luck!
you can use websocket-rails/websocket-rails gem for same:
websocket gem
Why make the server push data to get notifications, like using SingleR while it can be made client side?
Using a javascript timing event, that checks for recent updates at specified time intervals user can get notifications as long as he remains connected to the server.
So my question is why do more work at the server that the client can already do?
It's not more work to the server, it's less work. Suppose that you have 10000 clients (and the number could easily be in the 100K or even millions for popular web-sites) polling the server every X seconds to find out if there's new data available for them. The server would have to handle 10000 requests every X seconds even if there's no new data to return to the clients. That's huge overhead.
When the server pushes updates to the clients, the server knows when an update is available and it can send it to just the clients this data is relevant to. This reduces the network traffic significantly.
In addition it makes the client code much simpler, but I think the server is the critical concern here.
First if you didn't use server push you will not get instant update for example you can't do chat application, second why bothering the client to do job that it is not designed to do it? third you will have performance issue on the client cause like #Ash said server is a lot more powerful than a client computer.
I'm already tossing around a solution but as I haven't done something like this before I wanted to check what SO thought before implementation.
Basically I need to modify an existing web based application that has approximately 20 users to add push notifications. It is important that the users get the notifications at the same time (PC-A shouldn't get an alert 20 seconds before PC-B). Currently the system works off of AJAX requests, sending to the server every 20 seconds and requesting any updates and completely rebuilding the table of data each time (even if data hasn't changed). This seems really sloppy so there's two methods I've come up with.
Don't break the connection from server-client. This idea I'm tossing around involves keeping the connection between server and client active the entire time. Bandwidth isn't really an issue with any solution as this is in an internal network for only approximately 20 people. With this solution the server could push Javascript to the client whenever there's an update and modify the table of data accordingly. Again, it's very important that every connected PC receives the updates as close to the same time as possible. The main drawback to this is my experience, I've never done it before so I'm not sure how well it'd work or if it's just generally a bad idea.
Continue with the AJAX request, but only respond in intervals. A second solution I've thought of would be to allow the clients to make AJAX requests as per usual (currently every 20 seconds) but have the server only respond in 30 second intervals (eg 2:00:00 and 2:00:30 regardless of how many AJAX requests it recieves in that span of time). This would require adjusting the timeout for the AJAX request to prevent the request timing out, but it sounds okay in theory, at least to me.
This is for an internal network only, so bandwidth isn't the primary concern, more so that the notification is received as close to each other as possible. I'm open to other ideas, those are just the two that I have thought of so far.
Edit
Primarily looking for pros and cons of each approach. DashK has another interesting approach but I'm wondering if anyone has experience with any of these methods and can attest to the strengths and weaknesses of each approach, or possibly another method.
If I understand well your needs I think you should take a look to Comet
Comet is a web application model in which a long-held HTTP request allows a web server to push data to a browser, without the browser explicitly requesting it. Comet is an umbrella term, encompassing multiple techniques for achieving this interaction. All these methods rely on features included by default in browsers, such as JavaScript, rather than on non-default plugins.
The Comet approach differs from the original model of the web, in which a browser requests a complete web page at a time.
How about using an XMPP server to solve the problem?
Originally designed to be an Instant Messaging platform, XMPP is a messaging protocol that enables users in the system to exchange messages. (There's more to this - But let's keep it simple.)
Let's simplify the scenario a little bit. Imagine the following:
You're a system admin. When the system
has a problem, you need to let all the
employees, about 20 of them, know that
the system is down.
In the old days, every employee will
ask you, "Is the system up?" every
hour or so, and you'll response
passively. While this works, you are
overloaded - Not by fixing system
outage, but by 20 people asking for
system status every hour.
Now, AIM is invented! Since every
employee has access to AIM, you
thought, "Hey, how about having every
single one of them join a 'System
Status' chat room, and I'll just send
a message to the room when the system
is down (or is back)?" By doing so,
employees who are interested in
knowing system status will simply join
the 'System Status' room, and will be
notified of system status update.
Back to the problem we're trying to solve...
System admin = "System" who wants to notify the web app users.
Employees = Web app users who wants to receive notification.
System Status chat room = Still, system Status chat room
When web app user signs on to your web app, make the page automatically logs them onto the XMPP server, and join the system status chat room.
When system wants to notify the user, write code to logon to the XMPP server, join the chat room, and broadcast a message to the room.
By using XMPP, you don't have to worry about:
Setting up "Lasting connection" - Some open source XMPP server, eJabberd/OpenFire, has built-in support for BOSH, XMPP's implementation of the Comet model.
How the message is delivered
You however will need the following:
Find a Javascript library that can help you to logon to an XMPP server. (Just Google. There're a lot.)
Find a XMPP library for the server-side code. (XMPP library exists for both Java & C#. But I'm not sure what system you're using behind the scene.)
Manually provision each user on the XMPP server (Seems like you only have 20 people. That should be easy - However, if the group grows bigger, you may want to perform auto-provisioning - Which is achievable through client-side Javascript XMPP library.)
As far as long-lasting AJAX calls, this implementation is limited by the at-most-2-connection-to-the-same-domain issue. If you used up one connection for this XMPP call, you only have 1 more connection to perform other AJAX calls in the web-app. Depending on how complex your webapp is, this may or may not be desirable, since if 2 AJAX calls have already been made, any subsequent AJAX call will have to wait until one of the AJAX pipeline freed up, which may cause "slowness" on your app.
You can fix this by converting all AJAX calls into XMPP messages, and have a bot-like user on the server to listen to those messages, and response to it by, say, sending back HTML snippets/JSON objects with the data. This however might be too much for what you're trying to achieve.
Ahh. Hope this makes sense... or not. :p
See http://ajaxpatterns.org/HTTP_Streaming
It allows You to push data from the server when server wants it. Not just after the query.
You could use this technique without making large changes to the current application, and synchronize output by the time on the server.
In addition to the other two great options above, you could look at Web Workers if you know they have latest Chrome, Safari, FF, or Opera for a browser.
A Worker has the added benefit of not operating in the same thread as the rest of the page, so performance will be better. The downside is that, for security purposes, you can only send string data between the two scripts and the worker does not have window or document context. However, JSON can be represented as a string, so there's really no limit to the data.
Workers can receive data multiple times and asynchronously. You set the onmessage handler to act each time it receives something.
If you can ask every user to use a specific browser (Latest Safari or Chrome), you can try WebSockets too.