I am using firebase in NodeJs for getting motion detection events from Nest Camera.
I am connecting using the following code as I need multiple socket connections for each nest user.
this.context = new Firebase.Context();
this.firebaseClient = new Firebase(config.nest.firebaseSocketUrl, this.context);
I want to disconnect a particular socket whenever a user changes its mode to standby or home.
As per firebase documentation, you can use Firebase.goOffline() which is not useful in my case. How can I disconnect a specific firebase socket?
Firebase Engineer here,
I've answered a similar question regarding how Nest and Firebase interact here, but I'll provide a little more color on how you can get data from multiple Nest devices on a single client.
In short, Nest stores data in a structure that looks like:
users
$userID
devices
$deviceID
// info about devices
When you call authWithCustomToken(), you're taken down to the appropriate $userID, and can subscribe to changes on those users' devices. This means you can't really access data across multiple users' devices since by authenticating you "move down the tree" to that user data. There's no way to move up (typically you could call parent(), but this doesn't work in Nest Firebase land).
Since a Firebase realtime database connection takes a single auth token per conncetion, you would have to auth() and unauth() multiple times to do this (going offline and online doesn't really do it, as we'll continue to use the same connection), and I highly suggest you avoid doing this, as it won't scale well.
Instead, you should use the streaming REST API, which allows you to create streaming REST connections, each authenticated with the user token. You can also control when these connections are open/closed. It's a little more work to manage, but if you're aiming for granular control, this is the level of control you're looking for. Some examples are here.
We're working with Nest to create a better experience here, but for now this is what we both recommend.
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 planning a non-trivial realtime chat platform. The app has several types of resources: Users, Groups, Channels, Messages. There are roughly 20 types of realtime events having to do with these resources: for instance, submitting a message, a user connecting or disconnecting, a user joining a group, a moderator kicking a user from a group, etc...
Overall, I see two paths to organizing all this complexity.
The first is to build a REST API to manage the resources. For instance, to send a message, POST to /api/v1/messages. Or, to kick a user from a group, POST to /api/v1/group/:group_id/kick/. Then, from within the Express route handler, call io.emit (made accessible through res.locals) with the updated data to notify all related clients. In this case, clients talk to the server through HTTP and the server notifies clients through socket.io.
The other option is to not have a rest API at all, and handle all events through socket.IO. For instance, to send a message, emit a SEND_MESSAGE event. Or, to kick a user, emit a KICK_USER event. Then, from within the socket.io event handler, call io.emit with the updated data to notify all clients.
Yet another option is to have certain actions handled by a REST API, others by socket.IO. For instance, to get all messages, GET api/v1/channel/:id/messages. But to post a message, emit SEND_MESSAGE to the socket.
Which is the most suitable option? How do I determine which actions need to be sent thorough an API, and which need to be sent through socket.io? Is it better not to have a REST API for this type of application?
Some of my thoughts so far, nothing conclusive:
Advantages of REST API over the socket.io-only approach:
Easier to organize hierarchically, more modular
Easier to test
More robust and elegant
Simpler auth implementation with middleware
Disadvantages of REST API over the socket.io-only approach:
Slightly less performant (source)
Since a socket connection needs to be open anyways, why not use it for everything?
Slightly harder to manage on the client side.
Thanks for reading !
This could be achieve this using sockets.
Why because a chat application will be having dozens of actions, like ..
'STARTS_TYPING', 'STOPS_TYPING', 'SEND_MESSAGE', 'RECIVE_MESSAGE',...
Accommodating all these features using rest api's will generate a complex system which lacks performance.
Also concept of rooms in socket.io simplifies lot of headache regarding group chat implementation.
So its better to build everything based on sockets[socket.io or web cluster].
Here is the solution I found to solve this problem.
The key mistake in my question was that I assumed a rest API and websockets were mutually exclusive, because I intended on integrating the business and database logic directly in express routes and socket.io handlers. Thus, choosing between socket.io and http was important, because it would influence the core business logic of my app.
Instead, it shouldn't matter which transport to use. The business logic has to be independent from the transport logic, in its own module.
To do this, I developed a service layer that handles CRUD tasks, but also more specific tasks such as authentication. Then, this service layer can be easily consumed from either or both express routes and socket.io handlers.
In the end, this architecture allowed me not to easily switch between transport technologies.
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
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.
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.