I am still pretty new to NodeJS and want to know if I am looking at this in the wrong way.
Background:
I am making an app that runs once a week, generates a report, and then emails that out to a list of recipients. My initial reason for using Node was because I have an existing front end already built using angular and I wanted to be able to reuse code in order to simplify maintenance. My main idea was to have 4+ individual node apps running in parallel on our server.
The first app would use node-cron in order to run every Sunday. This would check the database for all scheduled tasks and retrieve the stored parameters for the reports it is running.
The next app is a simple queue that would store the scheduled tasks and pass them to the worker tasks.
The actual pdf generation would be somewhat CPU intensive, so this would be a cluster of n apps that would retrieve and run individual reports from the queue.
When done making the pdf, they would pass to a final email app that would send the file out.
My main concerns are communication between apps. At the moment I am setting up the 3 lower levels (ie. all but the scheduler) on separate ports with express, and opening http requests to them when needed. Is there a better way to handle this? Would the basic 'net' work better than the 'http' package? Is Express even necessary for something like this, or would I be better off running everything as a basic http/net server? So far the only real use I've made of Express is to specifically listen to a path for put requests and to parse the incoming json. I was led to asking here because in tracking logs so far I see every so often the http request is reset, which doesn't appear to affect the data received on the child process, but I still like to avoid errors in my coding.
I think that his kind of decoupling could leverage some sort of stateful priority queue with features like retry on failure, clustering, ...
I've used Kue.js in the past with great sucess, it's redis backed and has nice documentation and interface http://automattic.github.io/kue/
Related
My project is a full stack application where a web client subscribes to an unready object. When the subscription is triggered, the backend will run an observation loop to that unready object until it becomes ready. When that happens it sends a message to the frontend through socketIO (suggestions are welcome, I'm not quite sure if it's the best method). My question is how do I construct the observation loop.
My frontend basically subscribes to the backend, and gets a return 200 and will connect to the server per Websocket (socketIO) if it got subscribed correctly, or an error 4XX code if there was something that went wrong. On the backend, when the user subscribes, it should start for that user, a "thread" (I know Nodejs doesn't support threads, it's just for the mental image) that polls an information from an api every 10 or so seconds.
I do that, because the API that I poll from does not support WebHooks, so I need to observe the API response until it's at the state that I want it (this part I already got cleared).
What I'm asking, is there a third party library that actually is meant for those kinds of tasks? Should I use worker threads or simple setTimeouts abstracted by Classes? The response will be sent over SocketIO, that part I already got working as well, it's just the method I'm using im not quite sure how to build.
I'm also open to use another fitting programming language that makes solving this case easier. I'm not in a hurry.
A polling network request (which it sounds like this is) is non-blocking and asynchronous so it doesn't really take much of your nodejs CPU unless you're doing some heavy-weight computation of the result.
So, a single nodejs thread can make a lot of network requests (for your polling and for sending data over socket.io connection) without adding WorkerThreads or clustering. This is something that nodejs is very, very good at.
I'm not aware of any third party library specifically for this as you have to custom code looking at the results of the network request anyway and that's most of the coding. There are a bunch of libraries for making http requests of other servers from nodejs listed here. My favorite in that list is got(), but you can look at the choices and decide what you like.
As for making the repeated requests, I would probably just use either repeated setTimeout() calls or a setInterval() call.
You don't say whether you have to make separate requests for every single client that is subscribed to something or whether you can somehow combine all clients watching the same resource so that you use the same polling interval for all of them. If you can do the latter, that would certainly be more efficient.
If, as you scale, you run into scaling issues, you can then move the polling code to one or more child processes or WorkerThreads and then just communicate back to the main thread via messaging when you have found a new state that needs to be sent to the client. But, I would not anticipate you would need to code that extra step until you reach larger scale. As with most scaling things, you would need to code up the more basic option (which should scale well by itself) and then measure and benchmark and see where any bottlenecks are and modify the architecture based on data, not speculation. Far too often, the architecture is over-designed and over-implemented based on where people think the bottlenecks might be rather than where they actually turn out to be. Not only does this make the development take longer and end up with more complicated implementation than required, but it can target development at the wrong part of the problem. Profile, measure, then decide.
I want to show the user exactly to the second when he can have access to a given page, othervise it will be blocked. Lets say that I receive specific date and time from the server.
I guess I could use setTimeout function but I'm sure its a bad idea.
I can use a scheduler like node cron in backend but I'd need to send a message to frontend somehow after given time has passed.
Are webSockets an option? Or is there easier way?
I want to show the user exactly to the second when he can have access to a given page
For such accuracy, indeed the WebSocket communication is the way to go. This protocol is widely used on the web for push notification in email/social services like Gmail, Facebook etc.
Regarding the backend, I would suggest you to use a more scalable approach. You could use Bull to create a scheduling service. Bull uses Redis as a store and can operate with multiple processors(Node Processes), ensuring that each task is processed only by one processor. With one word it abstracts away the complexities which arise in distributed systems.
I have a question regarding the examples out there when using Nodejs, Express and Jade for templates.
All the examples show how to build some sort of a user administrative interface where you can add user profiles, delete them and manage them.
Those are considered beginner's guides to NodeJs. My question is around the fact that if I have have 10 users concurrently accessing the same interface and doing the same operations, surely NodeJs will block the requests for the other users as they are running on the same port.
So let's say I am pulling out a list of users which may be something like 10000. Yes I can do paging, but that is not the point. While I am getting the list from the server another 4 users want to access the application. They have to wait for my process to end. That is my question - how can one avoid that using NodeJS & Express?
I am on this issue for a couple of months! I currently have something in place that does the following:
Run the main processing of stuff on a port
Run a Socket.io process on a different port
Use a sticky session
The idea is that I do a request (like getting a list of items), and immediately respond with some request reference but without the requested items, thus releasing the port.
In the background "asynchronously" I then do the process of getting the items. Upon which when completed, I do an http request from one node to the socket node port node SENDING the items through.
When that is done I then perform a socket.io emit WITH the data and the initial request reference so that the correct user gets the message.
On the client side I have an event listening for the socket which then completes the ajax request by populating the list.
I have SOME success in doing this! It actually works to a degree! I have an issue online which complicates matters due to ip addresses, and socket.io playing funny.
I also have multiple workers using clustering. I use it in the following manner:
I create a master worker
I spawn workers
I take any connection request and pass it to the relevant worker.
I do that for the main node request as well as for the socket requests. Like I said I use 2 ports!
As you can see I have had a lot of work done on this and I am not getting a proper solution!
My question is this - have I gone all around the world 10 times only to have missed something simple? This sounds way to complicated to achieve a non-blocking nodejs only website.
I asked myself - surely all these tutorials would have not missed on something as important as this! But they did!
I have researched, read, and tested a lot of code - this is my very first time I ask anything on stackoverflow!
Thank you for any assistance.
P.S. One example of the same approach is this: I request a report using jasper, I pass parameters, and with the "delayed ajax response" approach as described above I simply release the port, and in the background a very intensive report is being generated (and this can be very intensive process as a lot of calculations are being performed)..! I really don't see a better approach - any help will be super appreciated!
Thank you for taking the time to read!
I'm sorry to say it, but yes, you have been going around the world 10 times only to have been missing something simple.
It's obvious that your previous knowledge/experience with webservers are from a blocking point of view, and if this was the case, your concerns had been valid.
Node.js is a framework focused around using a single thread to execute code, which means if it does any blocking operations, no one else would be able to get anything done.
There are some operations that can do this in node, like reading/writing to disk. However, most node operations will be asynchronous.
I believe you are familiar with the term, so I won't go into details. What asynchronous operations allows node to do, is to keep this single thread idle as much as possible. By idle I mean open for other work. If your code is fully asynchronous, then handling 4 concurrent users (or even 400) shouldn't be a problem, even for a single thread.
Now, in regards to your initial problem of ports: Once a request is received on a given port, node.js execute whatever code you have written for it, until it encounters an asynchronous operation as soon as that happens, it is available to to pick up more requests on the same port.
The second problem you inquire about, is the database operation. In this case, node-js would send the query to the database (which takes no time at all) and the database does that actual execution of the query. In the meantime, node is free to do whatever it wants, until the database is finished, and lets node know there is a result to fetch.
You can recognize async operations by their structure: my_function(..., ..., callback). Function that uses a callback function, is in most cases asynch.
So bottom line: Don't worry about the problems around blocking IO, as you will hardly encounter any in node. Use a single port if you want (By creating multiple child processes, you can even have multiple node instances on the same port).
Hope this explains it good enough. If you have any further questions, let me know :)
I have a node server, which needs to:
Serve the web pages
Keep querying an external REST API and save data to database and send data to clients for certain updates from REST API.
Task 1 is just a normal node tasks. But I don't know how to implement the task 2. This task won't expose any interface to outside. It's more like a background task.
Can anybody suggest? Thanks.
To make a second node.js app that runs at the same time as your first one, you can just create another node.js app and then run it from your first one using child_process.spawn(). It can regularly query the external REST API and update the database as needed.
The part about "Send data to clients for certain updates from REST API" is not so clear what you're trying to do.
If you're using socket.io to send data to connected browsers, then the browsers have to be connected to your web server which I presume is your first node.js process. To have the second node.js process cause data to be sent through the socket.io connections in the first node.js process, you need some interprocess way to communicate. You can use stdout and stdin via child_process.spawn(), you can use some feature in your database or any of several other IPC methods.
Because querying a REST API and updating a database are both asynchronous operations, they don't take much of the CPU of a node.js process. As such, you don't really have to do these in another node.js process. You could just have a setInterval() in your main node.js process, query the API every once in a while, update the database when results are received and then you can directly access the socket.io connections to send data to clients without having to use a separate process and some sort of IPC mechanism.
Task 1:
Express is good way to accomplish this task.
You can explore:
http://expressjs.com/
Task 2:
If you are done with Expressjs. Then you can write your logic with in Express Framework.
This task then can be done with node module forever. Its a simple tool that runs your background scripts forever. You can use forever to run scripts continuously (whether it is written in node.js or not)
Have a look:
https://github.com/foreverjs/forever
I've got an NGinx/Node/Express3/Socket.io/Redis/Backbone/Backbone.Marionette app that proxies requests to a PHP/MySQL REST API. I need to load test the entire stack as a whole.
My app takes advantage of static asset caching with NGinx, clustering with node/express and socket is multi-core enabled using Redis. All that's to say, I've gone through a lot of trouble to try and make sure it can stand up to the load.
I hit it with 50,000 users in 10 seconds using blitz.io and it didn't even blink... Which concerned me because I wanted to see it crash, or at least breath a little heavy; but 50k was the max you could throw at it with that tool, indicating to me that they expect you to not reasonably be able to, or need to, handle more than that... Which is when I realized it wasn't actually incurring the load I was expecting because the load is initiated after the page loads and the Backbone app starts up and kicks off the socket connection and requests the data from the correct REST API endpoint (from different server).
So, here's my question:
How can I load test the entire app as a whole? I need the load test to tax the server in the same way that the clients actually will, which means:
Request the single page Backbone app from my NGinx/Node/Express server
Kick off requests for the static assets from NGinx (simulating what the browser would do)
Kick off requests to the REST API (PHP/MySQL running on a different server)
Create the connection to the Socket.io service (running on NGinx/Node/Express, utilizing Redis to handle multi-core junk)
If the testing tool uses a browser-like environment to load the page up, parsing the JS and running it, everything will be copasetic (NGinx/Node/Express server will get hit and so will the PHP/MySQL server). Otherwise, the testing tool will need to simulate this by firing off at least a dozen different kinds of requests nearly simultaneously. Otherwise it's like stress testing a door by looking at it 10,000 times (that is to say, it's pointless).
I need to ensure my app can handle 1,000 users hitting it in under a minute all loading the same page.
You should learn to use Apache JMeter http://jmeter.apache.org/
You can perform stress tests with it,
see this tutorial https://www.youtube.com/watch?v=8NLeq-QxkSw
As you said, "I need the load test to tax the server in the same way that the clients actually will"
That means that the tests is agnostic to the technology you are using.
I highly recommend Jmeter, is widely used and you can integrate it with Jenkins and do a lot of cool stuff with it.