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websocket - Why does Node.js have incremental memory usage?

I have a gameserver.js file that is well over 100 KB in size. And I kept checking my task manager after each refresh on my browser and kept seeing my node.exe memory usage keep rising for every refresh. I'm using the ws module here: https://github.com/websockets/ws and figured, you know what, there is most likely some memory leak in my code somewhere...

So to double check and isolate the issue I created a test.js file and put in the default ws code block:

var WebSocketServer = require('ws').Server
  , wss = new WebSocketServer({ port: 9300 });

wss.on('connection', function connection(ws) {
  ws.on('message', function incoming(message) {
    console.log('received: %s', message);
  });
});

And started it up:

Enter image description here

Now, I check node.exe's memory usage:

Enter image description here

The incremental part that makes me confused is:

If I refresh my browser that makes the connection to this port 9300 websocket server and then look back at my task manager.. it shows:

Enter image description here

Which is now at: 14,500 K.

And it keeps on rising upon each refresh, so theoretically if I keep just refreshing it will go through the roof. Is this intended? Is there a memory leak in the ws module somewhere maybe? The whole reason I ask is because I thought maybe in a few minutes or when the user closes the browser it will go back down, but it doesn't.

And the core reason why I wanted to do this test because I figured I had a memory leak issue in my personal code somewhere and just wanted to check if it wasn't me, or vice versa. Now I'm stumped.

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1 Answer

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Seeing an increased memory footprint by a Node.js application is completely normal behaviour. Node.js constantly analyses your running code, generates optimised code, reverts to unoptimised code (if needed), etc. All this requires quite a lot of memory even for the most simple of applications (Node.js itself is from a large part written in JavaScript that follows the same optimisations/deoptimisations as your own code).

Additionally, a process may be granted more memory when it needs it, but many operating systems remove that allocated memory from the process only when they decide it is needed elsewhere (i.e. by another process). So an application can, in peaks, consume 1 GB of RAM, then garbage collection kicks in, usage drops to 500 MB, but the process may still keep the 1 GB.

Detecting presence of memory leaks

To properly analyse memory usage and memory leaks, you must use Node.js's process.memoryUsage().

You should set up an interval that dumps this memory usage into a file i.e. every second, then apply some "stress" on your application over several seconds (i.e. for web servers, issue several thousand requests). Then take a look at the results and see if the memory just keeps increasing or if it follows a steady pattern of increasing/decreasing.

Detecting source of memory leaks

The best tool for this is likely node-heapdump. You use it with the Chrome debugger.

  1. Start your application and apply initial stress (this is to generate optimised code and "warm-up" your application)
  2. While the app is idle, generate a heapdump
  3. Perform a single, additional operation (i.e. one more request) that you suspect will likely cause a memory leak - this is probably the trickiest part especially for large apps
  4. Generate another heapdump
  5. Load both heapdumps into Chrome debugger and compare them - if there is a memory leak, you will see that there are some objects that were allocated during that single request but were not released afterwards
  6. Inspect the object to determine where the leak occurs

I had the opportunity to investigate a reported memory leak in the Sails.js framework - you can see detailed description of the analysis (including pretty graphs, etc.) on this issue.

There is also a detailed article about working with heapdumps by StrongLoop - I suggest to have a look at it.


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