Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

High memory usage from monitoring_thread_loop #153

Open
timwoj opened this issue May 24, 2023 · 1 comment
Open

High memory usage from monitoring_thread_loop #153

timwoj opened this issue May 24, 2023 · 1 comment

Comments

@timwoj
Copy link
Contributor

timwoj commented May 24, 2023

We discovered a problem recently where the monitoring thread spawned by libkqueue was using a very large amount of memory. After a bit of digging, we realized that it's allocating two arrays of ints that are the size of the maximum number of file descriptors on the system. The system we discovered this on is a Rocky 9 system, with a docker container running in containerd. In this environment, containerd sets the maximum number of descriptors to 1073741816. libkqueue then allocates about 8GB of memory.

While it is possible to tune the container down to use fewer descriptors, this seems like an upstream problem in libkqueue itself.

ckreibich added a commit to zeek/zeek-testing-cluster that referenced this issue Jul 2, 2024
This avoids problems with libkqueue allocating many gigabytes of data based on
the maximum number of open files, which can default to > 1B in containerd.

mheily/libkqueue#153
containerd/containerd#7566
@william-stearns
Copy link

william-stearns commented Aug 16, 2024

This issue caused Zeek, the above-mentioned user of libkqueue, to grow from <300M of memory used to 4.2GB of resident ram used (16GB virtual) when run on a system that has this large number of file descriptors (which appears to be RHEL 9/centos stream 9/alma 9/ and rocky 9. Is it possible to adjust the size of these arrays to avoid having zeek allocate this much ram, triggering the oom-killer?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants