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8 sty 2023 · you can switch to python 3.11+ as it has a faster startup time (and faster everything), but as your application grows you will get even slower startup times compared to your toy example. one option, is to run your application inside a linux docker image so you can use fork to avoid the spawn overhead, (though the COW overhead will still be visible)
19 sty 2018 · How to speed up Python application startup time. # python. I hear pipenv 9.0.2 is released with major startup time improvement. I tried it soon and I didn't feel it's fast. So I investigated it with Python 3.7's new feature. In this article, I introduce the feature and how to use it. Startup time ≒ import time.
PyPy is a very compliant Python interpreter that is a worthy alternative to CPython 2.7, 3.6, and soon 3.7. By installing and running your application with it, you can gain noticeable speed improvements.
One trick I like to do is to simulate a cold start to get an idea of the worst case performance. If I do that on a machine with a spinning hard drive, importing pkg_resources can take about 5 seconds.
16 sty 2024 · When I start a test with let's say 50 peak users and a spawn rate of 10, locust won't run any requests for 5 seconds and the starts them all at once. Same happens when I increase or decrease the peak number while a test is running: The test stops completely
4 wrz 2018 · In Python 3 the multiprocessing library added new ways of starting subprocesses. One of these does a fork() followed by an execve() of a completely new Python process. That solves our problem, because module state isn’t inherited by child processes: it starts from scratch.
Here's a Python interpreter session run using Python 2.3 and the new timeit module, which shows how much faster the second is than the first: >>> def doit1(): ... import string ... string.lower('Python') ... >>> import string >>> def doit2(): ... string.lower('Python') ...
