Integration of python cprofile and postgresql logging collector for Odoo Check the Profiler menu in admin menu
Table of contents
Installation
To make use of the Postgres capabilities, enable Postgres logging and install PGbadger.
Python profiling will work out of the box.
Usage
For Python profiling we have two methods:
Full profiling: Profile anything that happens between A and B. For this method, start Odoo with workers=0, create a profile record and select Python method “All activity”. Enable the profiler, do actions in Odoo, and disable again. Under “Attachments” you can download the cProfile stats file.
Profile current session per HTTP request: Profile HTTP requests in the active user session. This method also works in multi-worker mode. Create a profile record and select Python method “Per HTTP request”. Enable the profiler, do actions in Odoo, and see the list filling up with requests. After some time, disable. You can find your slow HTTP requests by sorting on the “Total time” column, and download the cProfile stats file for further analysis.
Stats files can be analyzed visually for example with Snakeviz or Tuna.
Bug Tracker
Bugs are tracked on GitHub Issues. In case of trouble, please check there if your issue has already been reported. If you spotted it first, help us to smash it by providing a detailed and welcomed feedback.
Do not contact contributors directly about support or help with technical issues.
Credits
Contributors
- Moisés López <moylop260@vauxoo.com>
- Tom Blauwendraat <tom@sunflowerweb.nl>
Maintainers
This module is maintained by the OCA.
OCA, or the Odoo Community Association, is a nonprofit organization whose mission is to support the collaborative development of Odoo features and promote its widespread use.
Current maintainer:
This module is part of the OCA/server-tools project on GitHub.
You are welcome to contribute. To learn how please visit https://odoo-community.org/page/Contribute.