My main goal is to know how much memory my python application takes during execution.
I'm using python 2.7.5 on Windows-32 and Windows-64.
I found a way to get some info about my process here: http://code.activestate.com/recipes/578513-get-memory-usage-of-windows-processes-using-getpro/
Putting the code here for convenience:
"""Functions for getting memory usage of Windows processes."""
__all__ = ['get_current_process', 'get_memory_info', 'get_memory_usage']
import ctypes
from ctypes import wintypes
GetCurrentProcess = ctypes.windll.kernel32.GetCurrentProcess
GetCurrentProcess.argtypes = []
GetCurrentProcess.restype = wintypes.HANDLE
SIZE_T = ctypes.c_size_t
class PROCESS_MEMORY_COUNTERS_EX(ctypes.Structure):
_fields_ = [
('cb', wintypes.DWORD),
('PageFaultCount', wintypes.DWORD),
('PeakWorkingSetSize', SIZE_T),
('WorkingSetSize', SIZE_T),
('QuotaPeakPagedPoolUsage', SIZE_T),
('QuotaPagedPoolUsage', SIZE_T),
('QuotaPeakNonPagedPoolUsage', SIZE_T),
('QuotaNonPagedPoolUsage', SIZE_T),
('PagefileUsage', SIZE_T),
('PeakPagefileUsage', SIZE_T),
('PrivateUsage', SIZE_T),
]
GetProcessMemoryInfo = ctypes.windll.psapi.GetProcessMemoryInfo
GetProcessMemoryInfo.argtypes = [
wintypes.HANDLE,
ctypes.POINTER(PROCESS_MEMORY_COUNTERS_EX),
wintypes.DWORD,
]
GetProcessMemoryInfo.restype = wintypes.BOOL
def get_current_process():
"""Return handle to current process."""
return GetCurrentProcess()
def get_memory_info(process=None):
"""Return Win32 process memory counters structure as a dict."""
if process is None:
process = get_current_process()
counters = PROCESS_MEMORY_COUNTERS_EX()
ret = GetProcessMemoryInfo(process, ctypes.byref(counters),
ctypes.sizeof(counters))
if not ret:
raise ctypes.WinError()
info = dict((name, getattr(counters, name))
for name, _ in counters._fields_)
return info
def get_memory_usage(process=None):
"""Return this process's memory usage in bytes."""
info = get_memory_info(process=process)
return info['PrivateUsage']
if __name__ == '__main__':
import pprint
pprint.pprint(get_memory_info())
And this is the result:
{'PageFaultCount': 1942L,
'PagefileUsage': 4624384L,
'PeakPagefileUsage': 4624384L,
'PeakWorkingSetSize': 7544832L,
'PrivateUsage': 4624384L,
'QuotaNonPagedPoolUsage': 8520L,
'QuotaPagedPoolUsage': 117848L,
'QuotaPeakNonPagedPoolUsage': 8776L,
'QuotaPeakPagedPoolUsage': 117984L,
'WorkingSetSize': 7544832L,
'cb': 44L}
But this does not satisfy me. These results give me the whole python process information while what I need is only my specific application that runs on top of the Python framework.
I saw several memory profilers on the internet and also here in Stack Overflow but they are too big for me. The only information that I need is how much memory my app consumes by itself - without taking into account all the Python framework.
How can I achieve this?