debug running python processes with gdb
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debugging python processes with gdb (gnu debugger) can be a powerful way to diagnose issues at a lower level than python's built-in debugging tools provide. while python has its own debugging tools (like `pdb`), using gdb can help with performance issues, crashes, or when you need to inspect the c extensions or the python interpreter itself. here's a step-by-step tutorial on how to debug a running python process using gdb.
prerequisites
1. **gdb installed**: make sure gdb is installed on your system.
2. **python built with debugging symbols**: you need a version of python built with debugging symbols. you can usually install this via your package manager (like `apt` for ubuntu) or compile python from source with the `--with-pydebug` option.
installation of gdb
on ubuntu, you can install gdb with:
```bash
sudo apt-get install gdb
```
step 1: start a python process
let's create a simple python script that we will debug. save the following code in a file called `test.py`.
```python
test.py
import time
import random
def main():
print("starting the process...")
while true:
num = random.randint(1, 10)
print(f"random number: {num}")
time.sleep(1)
if _name_ == "__main__":
main()
```
start this script in a terminal:
```bash
python3 test.py
```
step 2: find the process id
while the script is running, open another terminal and find the process id (pid) of the running python script using the `ps` command:
```bash
ps aux | grep test.py
```
you'll see an output similar to:
```
user 12345 0.0 1.2 123456 7890 pts/0 s 12:00 0:00 python3 test.py
```
in this case, `12345` is the pid of your python process.
step 3: start gdb
now, start gdb and attach it to the running python process. replace `12345` with the actual pid you found earlier.
```bash
gdb -p 12345
```
step 4: gdb commands
once you are in gdb, you can use various commands to inspect the python process. here are some useful gdb commands:
`b ...
#PythonDebugging #GDB #numpy
Debugging
Python
GDB
Processes
Debugger
Breakpoints
Stack Trace
Core Dump
Symbols
Command Line
Segmentation Fault
Memory Leak
Python Interpreter
C Extensions
Profiling
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