CODEWITHSUNDEEP
clinuxmultithreadingnetwork-programming
Andrioid
Andrioid

Reputation: 3390

Handling more than 1024 file descriptors, in C on Linux

I am working on a threaded network server using epoll (edge triggered) and threads and I'm using httperf to benchmark my server.

So far, it's performing really well or almost exactly at the rate the requests are being sent. Until the 1024 barrier, where everything slows down to around 30 requests/second.

Running on Ubuntu 9.04 64-bit.

I've already tried:

I am pretty sure that this slow-down is happening in the operating system as it happens before the event is sent to epoll (and yes, I've also increased the limit in epoll).

I need to benchmark how many concurrent connections my program can handle until it starts to slow down (without the operating system interfering).

How do I get my program to run with more than 1024 file descriptors?

This limit is probably there for a reason, but for benchmarking purposes, I need it gone.

Update

Thanks for all your answers but I think I've found the culprit. After redefining __FD_SETSIZE in my program everything started to move a lot faster. Of course ulimit also needs to be raised, but without __FD_SETSIZE my program never takes advantage of it.

Upvotes: 8

Views: 13702

Answers (3)

asdf
asdf

Reputation: 259

Just don't.

Yes, I mean that.

If you need to increase the file descriptors, there's a hidden bug in your code. Hunt it down instead of treating its symptoms. Remember to close file descriptors when you're done.

Upvotes: -4

Andrioid
Andrioid

Reputation: 3390

Thanks for all your answers but I think I've found the culprit. After redefining __FD_SETSIZE in my program everything started to move a lot faster. Of course ulimit also needs to be raised, but without __FD_SETSIZE my program never takes advantage of it.

Upvotes: 7

ASk
ASk

Reputation: 4187

Please see the C10K problem page. It contains an in-depth discussion on how to achieve the '10000 simultaneous connections' goal, while maintaining high-performance and managing to serve each client.

It also contains information on how to increase the performance of your kernel when handling a large number of connections at once.

Upvotes: 4

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