How to get a core dump for a segfault on Linux
This week at work I spent all week trying to debug a segfault. I’d never done this before, and some of the basic things involved (get a core dump! find the line number that segfaulted!) took me a long time to figure out. So here’s a blog post explaining how to do those things!
At the end of this blog post, you should know how to go from “oh no my program is segfaulting and I have no idea what is happening” to “well I know what its stack / line number was when it segfaulted, at least!”.
what’s a segfault?
A “segmentation fault” is when your program tries to access memory that it’s not allowed to access, or tries to . This can be caused by:
- trying to dereference a null pointer (you’re not allowed to access the memory address
0
) - trying to dereference some other pointer that isn’t in your memory
- a C++ vtable pointer that got corrupted and is pointing to the wrong place, which causes the program to try to execute some memory that isn’t executable
- some other things that I don’t understand, like I think misaligned memory accesses can also segfault
This “C++ vtable pointer” thing is what was happening to my segfaulting program. I might explain that in a future blog post because I didn’t know any C++ at the beginning of this week and this vtable lookup thing was a new way for a program to segfault that I didn’t know about.
But! This blog post isn’t about C++ bugs. Let’s talk about the basics, like, how do we even get a core dump?
step 1: run valgrind
I found the easiest way to figure out why my program is segfaulting was to use valgrind: I ran
valgrind -v your-program
and this gave me a stack trace of what happened. Neat!
But I also wanted to do a more in-depth investigation and find out more than just what valgrind was telling me! So I wanted to get a core dump and explore it.
How to get a core dump
A core dump is a copy of your program’s memory, and it’s useful when you’re trying to debug what went wrong with your problematic program.
When your program segfaults, the Linux kernel will sometimes write a core dump to disk. When I originally tried to get a core dump, I was pretty frustrated for a long time because – Linux wasn’t writing a core dump!! Where was my core dump????
Here’s what I ended up doing:
- Run
ulimit -c unlimited
before starting my program - Run
sudo sysctl -w kernel.core_pattern=/tmp/core-%e.%p.%h.%t
ulimit: set the max size of a core dump
ulimit -c
sets the maximum size of a core dump. It’s often set to 0, which means that the
kernel won’t write core dumps at all. It’s in kilobytes. ulimits are per process – you can see
a process’s limits by running cat /proc/PID/limit
For example these are the limits for a random Firefox process on my system:
$ cat /proc/6309/limits
Limit Soft Limit Hard Limit Units
Max cpu time unlimited unlimited seconds
Max file size unlimited unlimited bytes
Max data size unlimited unlimited bytes
Max stack size 8388608 unlimited bytes
Max core file size 0 unlimited bytes
Max resident set unlimited unlimited bytes
Max processes 30571 30571 processes
Max open files 1024 1048576 files
Max locked memory 65536 65536 bytes
Max address space unlimited unlimited bytes
Max file locks unlimited unlimited locks
Max pending signals 30571 30571 signals
Max msgqueue size 819200 819200 bytes
Max nice priority 0 0
Max realtime priority 0 0
Max realtime timeout unlimited unlimited us
The kernel uses the soft limit (in this case, “max core file size = 0”) when deciding how big of
a core file to write. You can increase the soft limit up to the hard limit using the ulimit
shell
builtin (ulimit -c unlimited
!)
kernel.core_pattern: where core dumps are written
kernel.core_pattern
is a kernel parameter or a “sysctl setting” that controls where the Linux
kernel writes core dumps to disk.
Kernel parameters are a way to set global settings on your system. You can get a list of every
kernel parameter by running sysctl -a
, or use sysctl kernel.core_pattern
to look at the
kernel.core_pattern
setting specifically.
So sysctl -w kernel.core_pattern=/tmp/core-%e.%p.%h.%t
will write core dumps to /tmp/core-<a bunch of stuff identifying the process>
If you want to know more about what these %e
, %p
parameters read, see man core.
It’s important to know that kernel.core_pattern
is a global settings – it’s good to be a little
careful about changing it because it’s possible that other systems depend on it being set a certain
way.
kernel.core_pattern & Ubuntu
By default on Ubuntu systems, this is what kernel.core_pattern
is set to
$ sysctl kernel.core_pattern
kernel.core_pattern = |/usr/share/apport/apport %p %s %c %d %P
This caused me a lot of confusion (what is this apport thing and what is it doing with my core dumps??) so here’s what I learned about this:
- Ubuntu uses a system called “apport” to report crashes in apt packages
- Setting
kernel.core_pattern=|/usr/share/apport/apport %p %s %c %d %P
means that core dumps will be piped toapport
- apport has logs in /var/log/apport.log
- apport by default will ignore crashes from binaries that aren’t part of an Ubuntu packages
I ended up just overriding this Apport business and setting kernel.core_pattern
to sysctl -w kernel.core_pattern=/tmp/core-%e.%p.%h.%t
because I was on a dev machine, I didn’t care whether Apport was working on not, and I didn’t feel like trying to convince Apport to give me my core dumps.
So you have a core dump. Now what?
Okay, now we know about ulimits and kernel.core_pattern
and you have actually have a core dump
file on disk in /tmp
. Amazing! Now what??? We still don’t know why the program segfaulted!
The next step is to open the core file with gdb
and get a backtrace.
Getting a backtrace from gdb
You can open a core file with gdb like this:
$ gdb -c my_core_file
or maybe
$ gdb executable -c my_core_file
Next, we want to know what the stack was when the program crashed. Running bt
at
the gdb prompt will give you a backtrace. In my case gdb hadn’t loaded symbols for the binary, so it
was just like ??????
. Luckily, loading symbols fixed it.
Here’s how to load debugging symbols.
symbol-file /path/to/my/binary
sharedlibrary
This loads symbols from the binary and from any shared libraries the binary uses. Once I did that,
gdb gave me a beautiful stack trace with line numbers when I ran bt
!!!
If you want this to work, the binary should be compiled with debugging symbols. Having line numbers in your stack traces is extremely helpful when trying to figure out why a program crashed :)
look at the stack for every thread
Here’s how to get the stack for every thread in gdb!
thread apply all bt full
gdb + core dumps = amazing
If you have a core dump & debugging symbols and gdb, you are in an amazing situation!! You can go up and down the call stack, print out variables, and poke around in memory to see what happened. It’s the best.
If you are still working on being a gdb wizard, you can also just print out the stack trace with
bt
and that’s okay :)
ASAN
Another path to figuring out your segfault is to do one compile the program with AddressSanitizer
(“ASAN”) ($CC -fsanitize=address
) and run it. I’m not going to discuss that in this post because
this is already pretty long and anyway in my case the segfault disappeared with ASAN turned on for
some reason, possibly because the ASAN build used a different memory allocator (system malloc
instead of tcmalloc).
I might write about ASAN more in the future if I ever get it to work :)
getting a stack trace from a core dump is pretty approachable!
This blog post sounds like a lot and I was pretty confused when I was doing it but really there aren’t all that many steps to getting a stack trace out of a segfaulting program:
- try valgrind
if that doesn’t work, or if you want to have a core dump to investigate:
- make sure the binary is compiled with debugging symbols
- set
ulimit
andkernel.core_pattern
correctly - run the program
- open your core dump with
gdb
, load the symbols, and runbt
- try to figure out what happened!!
I was able using gdb to figure out that there was a C++ vtable entry that is pointing to some corrupt memory, which was somewhat helpful and helped me feel like I understood C++ a bit better. Maybe we’ll talk more about how to use gdb to figure things out another day!