A Better PROFiler

bprof

A Better PROFiler

Introduction

The reason bprof exists is that the major Python profiling packages simply don't profile robustly. They use timestamps and ad-hoc methods for keeping track of how time passes. For example, one approach is to timestamp when a function starts and when it stops, and then count this as the function time. This includes time spent in the profiling hooks.

The approach taken here is to integrate all of the time between hooks and add it to the appropriate records. By registering for all hooks except for opcodes, the time spent out of the profiler is directly measured. The time is measured right after entering bprof, and right before exiting. This allows for as rigorous time measurement as possible. Then, stacks are used to track the current contexts and record detailed profiling information.

Example

Code:

import bprof._bprof as bp
import time

def f():
time.sleep(1)

bp.start()
f()
bp.stop()
bp.dump("")


Results:

Name: f, 1.2142e-05
1.00074(6.21e-07/1.00074):     time.sleep(1)
Name: <built-in function stop>, 0
Name: <built-in function sleep>, 1.00074


Future

There is a lot of future work. This is just a first pass.

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History

0.1.0 (2019-10-10)

• First release on PyPI.

Project details

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