In this SuperUser.com question and elsewhere, I've read that Skype doesn't store your historical chat messages on their servers in a way that's user-accessible. (Of course, what they do for internal archival and analytical purposes is a different story -- as reflected by their privacy policy).
But the user experience for group chats is: when you've been offline and you sign back into Skype... all the messages you missed appear. Even if it's been a while and there are a lot of messages. (I don't know if there are limits on how long or how many.)
So: how is this UX implemented if the messages don't come from Skype servers?
I've read this offhand description which states:
Syncing of group chats ("More than 2 people in a chat") is done by chat sync partners in those chats, and not provided by Skype servers.
If that's correct, I'd love more details about how this works, like:
Has the protocol been specified or reverse-engineered?
Is it available through an API?
Are requests routed through Skype, or is it direcly peer-to-peer?
If peer-to-peer, how are requests authenticated?
My experience is I can only "see" history back to the time when I joined a chat; can a client request or receive messages farther back in the history?
I understand some of of the protocols are currently in flux -- so, bonus points if you can explain whether/how these details are changing.
When you login your client has the last recieved id of that conversation.
Sends it to the other clients. The client who recieves the id looks up all messages after that one, and then sends it back to you.
That way they don't have to store the messages on their servers.
Related
Background
I have a monolith Node.js + PostgreSQL app that, besides other things, needs to provide real-time in-app notifications to end users.
It is currently implemented in the following way:
there's a db table notifications which has state (pending/sent), userid (id of the notification receiver), isRead (did a user read the notification), type and body - notification data.
once specific resources get created or specific events occur, a various number of users should receive in-app notifications. When a notification is created, it gets persisted to the db and gets sent to the user using WebSockets. Notifications can also get created by a cron job.
when a user receives N number of notifications of the same type, they get collapsed into one single notification. This is done via db trigger by deleting repeated notifications and inserting a new one.
usually it works fine. But when the number of receivers exceeds several thousands, the app lags or other requests get blocked or not all notifications get sent via WebSockets.
Examples of notifications
Article published
A user is awarded with points
A user logged in multiple times but didn't perform some action
One user sends a friend request to another
One user sent a message to another
if a user receives 3+ Article published notifications, they get collapsed into the N articles published notification (N gets updated if new same notifications get received).
What I currently have doesn't seem to work very well. For example, for the Article created event the api endpoint that handles the creation, also handles notifications send-outs (which is maybe not a good approach - it creates ~5-6k notifications and sends them to users via websockets).
Question
How to correctly design such functionality?
Should I stay with a node.js + db approach or add a queuing service? Redis Pub/Sub? RabbitMQ?
We deploy to the k8s cluster, so adding another service is not a problem. More important question - is it really needed in my case?
I would love some general advice or resources to read on this topic.
I've read several articles on messaging/queuing/notifications system design but still don't quite get if this fits my case.
Should the queue store the notifications or should they be in the db? What's the correct way to notify thousands of users in real-time (websockets? SSE?)?
Also, the more I read about queues and message brokers, the more it feels like I'm overcomplicating things and getting more confused.
Consider using the Temporal open source project. It would allow modeling each user lifecycle as a separate program. The Temporal makes the code fully fault tolerant and preserves its full state (including local variables and blocking await calls) across process restarts.
I'm building an application in which we have worked on Payment gateway named flutterwave.
And now the scenario is on every success or failure of a payment, I receive a webhook and then we take further actions such as sending emails, SMS and updating the statuses of the payment in the DB.
For now, we have implemented polling in the client side and for a particular time span if the client receives a status (success or fail) we show it otherwise they can check later it in the payment history page.
Now we want to remove this polling and update users in real time about the success or failure of a payment.
What are the ways by which we can achieve this?
The questions are how we will notify a specific user about the same as we have a multiplatform app and the same user can be logged in different platforms.
What you are looking for is a real-time communication pattern with WebSockets a layer 7 protocol in the OSI model which offers bi-directional communication.
This means that you can establish communication between your servers and your user's browser (client). As a result, you can send notification data to the client and consume and react to the notification, by showing visual cues in your UI for the user to see.
Some examples of implementing WebSockets with Socket.io and Nodejs: https://dev.to/novu/sending-real-time-notifications-with-socketio-in-nodejs-1l5j
There are also paid services that can offer this functionality like Pusher, and I would actually recommend that route at the beginning so you can avoid spending too much time implementing this and focus more on the stuff that matters and is part of your roadmap.
Additionally, you can use Push Notifications as another way to notify your users even when they are not using the app.
I am currently working on a web application using the MEAN stack. It has a social aspect to it so I want to be able to push notifications to users.
The way I do it now is when something happens that should be a notification it gets stored in a mongo database with an unread flag. Each client will send a get request to the server every 30 second and will receive every notification marked as unread, and will then mark it as read.
I want to switch to using a message queue and sockets so less network resources will be used, and also provide the user with a real-time experience. I've thought about using redis and its pubsub structure but I can't seem to figure out how to do this securely. If I push out notifications to the affected users, won't it be easy for someone malicious to subscribe to somebody else's channel and receive notifications not meant for them? Am I missing something or is it just the wrong approach for such a system?
Edit: Figure I update with the solution I went with if anyone else reading this is having the same problem.
Instead of using rabbitmq, as the answer suggested, I figured that a much more easy and elegant solution is to just use socket.io. When new sockets connects to the server I save a mapping from the userID to the socketId in a redis in-memory DB. (After I've validated their token) That way, if I need to push a notification to a user I just look up the socketId in the redis DB, and then send it to the correct socket.
This way I don't need any security beyond that as socketIDs are unguessable, and the message is only sent across the single socket that belongs to the given user.
This way it will only get sent through the connection of the given socket, as socketIDs are only used server side to keep track of all the connection. This means no one else can "listen" using someone else's socketID.
you can use RabbitMQ for this. Also authentication is there. Please go through following link and try.
https://www.rabbitmq.com/access-control.html
also, you can apply authentication in existing structure using subscription auth tokens with all subscribed users only.
even redis has its security with topics. Please have a look in link below
https://redis.io/topics/security
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 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.