- 1 year ago
Limit python script RAM usage in Windows
Limiting the RAM usage of a Python script on Windows can be challenging because Python's built-in garbage collector and memory management are automatic and not directly controllable. However, you can use third-party libraries and techniques to achieve some level of memory control. One popular approach is using the resource
module, which allows you to set resource limits for the Python script.
Please note that this method may not work as precisely as low-level memory management, and the effectiveness can vary depending on the specific Python script and its dependencies.
Here's a way to use the resource
module to set a soft memory limit for a Python script on Windows:
pythonimport resource
import os
def set_memory_limit(soft_limit_bytes):
# Set the soft memory limit for the process (in bytes)
resource.setrlimit(resource.RLIMIT_AS, (soft_limit_bytes, resource.RLIM_INFINITY))
def get_memory_usage():
# Get the current memory usage of the process (in bytes)
return resource.getrusage(resource.RUSAGE_SELF).ru_maxrss * 1024 # Convert to bytes
def main():
# Set the soft memory limit to 500 MB (adjust as needed)
set_memory_limit(500 * 1024 * 1024) # 500 MB in bytes
# Your main script logic here
# ...
if __name__ == "__main__":
main()
In this example, we use the setrlimit
function from the resource
module to set the soft memory limit for the current process. The soft_limit_bytes
parameter determines the memory limit in bytes. Note that the actual memory usage might exceed the specified soft limit, but it serves as an advisory to the system, which might trigger the garbage collector more aggressively.
Please keep in mind that setting a memory limit may cause unintended consequences, such as terminating the Python process prematurely if it reaches the specified limit, which could lead to data loss or incomplete operations. Use this approach with caution and thoroughly test its effects on your specific Python script and use case.