I'm learning node.js (my web background is mainly PHP) and I'm loving it so far but I have the following question. In PHP and other similar languages, each request is a single lived execution of the script. All user preferences can be loaded, etc can be loaded and there's no issue there as once the script execution has been completed, all resources will be released.
In node.js, especially in a long running process like a chatroom (I'm using socket.io), you will have hundreds/thousands of users being handled by one process. Assuming for instance I have a chatroom with 200 people, and I want messages to be highlighted if it comes from a participant the user has deemed a "Friend", then I will have to loop through 200 users to see if the user is a friend or not (especially if chats are to be only sent to friends and not publicly).
Won't this be really slow, especially over time? Is there something I'm missing out on? In my small tests as the number of users as well as number of messages go up, the responsiveness of the server goes down noticeably.
If you are going to develop a complex chatroom, you have to consider design the server side code and maintain the clients information at the server side. For example, you have to map the newly connected client socket to variables at the server side, also if you want to introduce "Friend" feature you have to maintain those information at server side. So your server don't have to look up each client see if they are the correct message receivers.
With all those implemented, in the scenario of sending message to the public, at the server side we could first find all the "friend" sockets, then send the message highlighted as "Friend" to those sockets, then send normal text to others. For private message to Friend, it will be much easier as we only consider friends sockets.
So you still need to reuse some of your design patterns you've used in PHP, socket.io would only maintain the long connections for you, and that is all.
Related
So i currently have a chat system running NodeJS that passes messages via rabbit and each connected user has their own unique queue that subscribed and only listening to messages (for only them). The backend can also use this chat pipeline to communicate other system messages like notifications/friend requests and other user event driven information.
Currently the backend would have to loop and publish each message 1 by 1 per user even if the payload of the message is the same for let's say 1000 users. I would like to get away from that and be able to send the same message to multiple different users but not EVERY user who's connected.
(example : notifying certain users their friend has come online).
I considered implementing a rabbit queue system where all messages are pooled into the same queue and instead of rabbit sending all user queues node takes these messages and emit's the message to the appropriate user via socket connections (to whoever is online).
Proposed - infrastructure
This way the backend does not need to loop for 100s and 1000s of users and can send a single payload containing all users this message should go to. I do plan to cluster the nodejs servers together.
I was also wondering since ive never done this in a production environment, will i need to track each socketID.
Potential pitfalls i've identified so far:
slower since 1000s of messages can pile up in a single queue.
manually storing socket IDs to manually trasmit to users.
offloading routing to NodeJS instead of RabbitMQ
Has anyone done anything like this before? If so, what are your recommendations. Is it better to scale with user unique queues, or pool all grouped messages for all users into smaller (but larger pools) of queues.
as a general rule, queue-per-user is an anti-pattern. there are some valid uses of this, but i've never seen it be a good idea for a chat app (in spite of all the demos that use this example)
RabbitMQ can be a great tool for facilitating the delivery of messages between systems, but it shouldn't be used to push messages to users.
I considered implementing a rabbit queue system where all messages are pooled into the same queue and instead of rabbit sending all user queues node takes these messages and emit's the message to the appropriate user via socket connections (to whoever is online).
this is heading down the right direction, but you have to remember that RabbitMQ is not a database (see previous link, again).
you can't randomly seek specific messages that are sitting in the queue and then leave them there. they are first in, first out.
in a chat app, i would have rabbitmq handling the message delivery between your systems, but not involved in delivery to the user.
your thoughts on using web sockets are going to be the direction you want to head for this. either that, or Server Sent Events.
if you need persistence of messages (history, search, last-viewed location, etc) then use a database for that. keep a timestamp or other marker of where the user left off, and push messages to them starting at that spot.
you're concerns about tracking sockets for the users are definitely something to think about.
if you have multiple instances of your node server running sockets with different users connected, you'll need a way to know which users are connected to which node server.
this may be a good use case for rabbitmq - but not in a queue-per-user manner. rather, in a binding-per-user. you could have each node server create a queue to receive messages from the exchange where messages are published. the node server would then create a binding between the exchange and queue based on the user id that is logged in to that particular node server
this could lead to an overwhelming number of bindings in rmq, though.
you may need a more intelligent method of tracking which server has which users connected, or just ignore that entirely and broadcast every message to every node server. in that case, each server would publish an event through the websocket based on the who the message should be delivered to.
if you're using a smart enough websocket library, it will only send the message to the people that need it. socket.io did this, i know, and i'm sure other websocket libraries are smart like this, as well.
...
I probably haven't given you a concrete answer to your situation, and I'm sure you have a lot more context to consider. hopefully this will get you down the right path, though.
I'm working on a chat application and using socket.io / node for that. Basically I came up with the following strategies:
Send message from the client which is received by the socket server which then sends it to the receiving client. On the background I store that to the message on the DB to be retrieved later if the user wishes to seee his old conversations.
The pros of this approach is that the user gets the message almost instantly since we don't wait for the DB operation to complete, but the con is that if the DB operation failed and exactly that time the client refreshed its page to fetch the message, it won't get that.
Send message form the client to the server, the server then stores it on the DB first and then only sends it to the receiving client.
The pros is that we make sure that the message will be received to the client only if its stored in the DB. The con is that it will be no way close to real time since we'll be doing a DB operation in between slowing down the message passing.
Send message to the client which then is stored on a cache layer(redis for example) and then instantly broadcast it to the receiving client. On background keep fetching records from redis and updating DB. If the client refreshes the page, we first look into the DB and then the redis layer.
The pros is that we make the communication faster and also make sure messages are presented correctly on demand. The con is that this is quite complex as compared to above implementations, and I'm wondering if there's any easier way to achieve this?
My question is whats the way to go if you're building a serious chat application that ensures both - faster communication and data persistence. What are some strategies that app like facebook, whatsapp etc. use for the same? I'm not looking for exact example, but a few pointers will help.
Thanks.
I would go for the option number 2. I've been doing myself Chat apps in node and I found out that this is the best option. Saving in a database takes few milliseconds, which includes the 0.x milliseconds to write in the databse and the few milliseconds of latency in communication ( https://blog.serverdensity.com/mongodb-benchmarks/ ).
SO I would consider this approach realtime. The good thing with this is that if it fails, you can display a message to the sender that it failed, for whatever reason.
Facebook, whatsapp and many other big messaging apps are based on XMPP (jabber) which is a very, very big protocol for instant messaging and everything is very well documented on how to do things but it is based in XML, so you still have to parse everything etc but luckily there are very good libraries to handle with xmpp. So if you want to go the common way, using XMPP you can, but most of the big players in this area are not following anymore all the standards, since does not have all the features we are used to use today.
I would go with doing my own version, actually, I already something made (similar to slack), if you want I could give you access to it in private.
So to end this, number 2 is the way to go (for me). XMPP is cool but brings also a lot of complexity.
Background: I am building a web app using NodeJS + Express. Most of the communication between client and server is REST (GET and POST) calls. I would typically use AJAX XMLHttpRequest like mentioned in https://developers.google.com/appengine/articles/rpc. And I don't seem to understand how to make my RESTful service being used for Socket.io as well.
My questions are
What scenarios should I use Socket.io over AJAX RPC?
Is there a straight forward way to make them work together. At least for Expressjs style REST.
Do I have real benefits of using socket.io(if websockets are used -- TCP layer) on non real time web applications. Like a tinyurl site (where users post queries and server responds and forgets).
Also I was thinking a tricky but nonsense idea. What if I use RESTful for requests from clients and close connection from server side and do socket.emit().
Thanks in advance.
Your primary problem is that WebSockets are not request/response oriented like HTTP is. You mention REST and HTTP interchangeably, keep in mind that REST is a methodology behind designing and modeling your HTTP routes.
Your questions,
1. Socket.io would be a good scenario when you don't require a request/response format. For instance if you were building a multiplayer game in which whoever could click on more buttons won, you would send the server each click from each user, not needing a response back from the server that it registered each click. As long as the WebSocket connection is open, you can assume the message is making it to the server. Another use case is when you need a server to contact a client sporadically. An analytics page would be a good use case for WebSockets as there is no uniform pattern as to when data needs to be at the client, it could happen at anytime.
The WebSocket connection is an HTTP GET request with a special header requesting the server to upgrade it to a WebSocket connection. Distinguishing different events and message on the WebSocket connection is up to your application logic and likely won't match REST style URIs and methods (otherwise you are replication HTTP request/reply in a sense).
No.
Not sure what you mean on the last bit.
I'll just explain more about when you want to use Socket.IO and leave the in-depth explanation to Tj there.
Generally you will choose Socket.IO when performance and/or latency is a major concern and you have a site that involves users polling for data often. AJAX or long-polling is by far easier to implement, however, it can have serious performance problems in high load situations. By high-load, I mean like Facebook. Imagine millions of people loading their feed, and every minute each user is asking the server for new data. That could require some serious hardware and software to make that work well. With Socket.IO, each user could instead connect and just indefinitely wait for new data from the server as it arrives, resulting in far less overall server traffic.
Also, if you have a real-time application, Socket.IO would allow for a much better user experience while maintaining a reasonable server load. A common example is a chat room. You really don't want to have to constantly poll the server for new messages. It would be much better for the server to broadcast new messages as they are received. Although you can do it with long-polling, it can be pretty expensive in terms of server resources.
Brief Description:
Well, since many days I've been looking for an answer to this question but there seems to be answers for 'How to create a Push Notification Server' and like questions. I am using node.js and it's quite easy to 'create' a push notification server using sock.js (I've heard socket.io isn't good as compared to sock.js). No problem till here. But what I want is how to model such a server.
Details:
OK, so, let's say I've an application where there's a chat service (just an example this is, actual thing is big as you might have guessed). A person sends a message in a room and all the people in the room get notified. But what I want is a 'stateful' chat - that is, I want to store the messages in a data store. Here's where the trouble comes. Storing the message in the database and later telling everyone that "Hey, there's a message for you". This seems easy when we need the real-time activity for just one part of the app. What to do when the whole app is based on real-time communication? Besides this, I also want to have a RESTful api.
My solution (with which I am not really happy)
What I thought of doing was this: (on the server side of course)
Data Store
||
Data Layer (which talks to data store)
||
------------------
| |
Real-Time Server Restful server
And here, the Real-time server listens to interesting events that the data-layer publishes. Whenever something interesting happens, the server notifies the client. But which client? - This is the problem with my method
Hope you can be of help. :)
UPDATE:
I think I forgot to emphasize an important part of my question. How to implement a pub-sub system? (NOTE: I don't want the actual code, I'll manage that myself; just how to go about doing it is where I need some help). The problem is that I get quite boggled when writing the code - what to do how (my confusion is quite apparent from this question itself). Could please provide some references to read or some advice as to how to begin with this thing?
I am not sure if I understood you correctly; but I will summarize how I read it:
We have a real-time chat server that uses socket connections to publish new messages to all connected clients.
We have a database where we want to keep chat logs.
We have also a restful interface to access the realtime server to get current chats in a lazier manner.
And you want to architect your system this way:
In the above diagram, the components I circled with purple curve wants to be updated like all other clients. Am I right? I don't know what you meant with "Data Layer" but I thought it is a daemon that will be writing to database and also interfacing database for other components.
In this architecture, everything is okay in the direction you meant. I mean DataStore is connected by servers to access data, maybe to query client credentials for authentication, maybe to read user preferences etc.
For your other expectation from these components, I mean to allow these components to be updated like connected clients, why don't you allow them to be clients, too?
Your realtime server is a server for clients; but it is also a client for data layer, or database server, if we prefer a more common naming. So we already know that there is nothing that stops a server from being a client. Then, why can't our database system and restful system also be clients? Connect them to realtime server the same way you connect browsers and other clients. Let them enjoy being one of the people. :)
I hope I did not understand everything completely wrong and this makes sense for the question.
I am working on a Chatting application (needs to connect to a server) on iPhone. The sending packet from iPhone shouldn't be a problem.
But I would like to know whether it is possible for iPhone to establish a incoming socket connection to server continuously or forever under mobile environment.
OR What do I need to do to give the connection alive ? Need to send something over it to keep it alive ?
Thanks.
Not sure why you want to have chatting app to have persisted connection... I'd better use SMS like model. Anyways, Cocoa NSStream is based on NSSocket and allows a lot of functionality. Take a look at it.
Response to the question. Here is in a nutshell, what I would do:
Get an authentication token from the server.
this will also take care of user presence if necessary but now we are talking about the state; once presence is known, the server may send out notifications to clients that are active and have a user on their contact list.
Get user's contact list and contact presence state.
When a message send, handle it according to addressee state, i.e. if online, communicate back to the other user, if offline, queue for later delivery or reject.
Once token expires, reject communication with appropriate error and make the client to request a new token.
Communication from server to client, can be based on pull or push model. In first case, client periodically makes a request and fetches all messages. This may sound not good but in reality, how often users compose and send messages? Several times a minute? That's not too much. So fetching may happen every 5-10 seconds.
For push model, client must be able to listen and accept connections.
Finally, check out SIP, session initiation protocol. No need to use full version of it though. Just basic stuff.
This is very rough and perhaps simplified. I don't know the target complexity of your chatting system. For example, the simplest thing can also be that server just enables client to client communication by distributing their end points and clients take care of everything themselves.
Good luck!
Super out of date response, but maybe it will help the next person.
I would use xmppframework and a jabber server.