https://github.com/abrookins/quest
Example app for the book The Temple of Django Database Performance, 2nd Edition
https://github.com/abrookins/quest
django lms
Last synced: about 2 months ago
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Example app for the book The Temple of Django Database Performance, 2nd Edition
- Host: GitHub
- URL: https://github.com/abrookins/quest
- Owner: abrookins
- License: mit
- Created: 2019-02-01T14:24:49.000Z (over 6 years ago)
- Default Branch: temple-book
- Last Pushed: 2023-01-06T13:41:51.000Z (over 2 years ago)
- Last Synced: 2025-03-30T08:25:27.587Z (3 months ago)
- Topics: django, lms
- Language: Python
- Homepage: https://spellbookpress.com
- Size: 2.55 MB
- Stars: 60
- Watchers: 0
- Forks: 10
- Open Issues: 23
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# quest
This is the example code for the book [The Temple of Django Database Performance](https://spellbookpress.com/books/temple-of-django-database-performance/) by Andrew Brookins.
## A Note on Versions
This code is for version 2 of the book, published August 2020. All buyers of the version 1 ebook (2019) have access to version 2 as a free download.
If you purchased the 2019 edition of the print book, this code is not substantially different than the code referenced in that book. However, this code includes a new example on using materialized views.
## Setup
This project uses Docker to set up its environment, and it includes a Makefile to let you run `docker-compose` commands more easily.
### Initial Setup
Run `make build` to build the images for the environment.
You'll also want to run `docker-compose run web ./manage.py createsuperuser` to create a superuser for yourself.
### Dev Server
Run `make dev` to run Redis, Postgres, and the Django web application. The example's servers bind their ports to localhost, so you can visit the app at https://localhost:8000 once it's running.
## Viewing Logs
Run `docker-compose logs web` to view logs for the web application. Likewise, 'postgres' and 'redis' will show logs for those servers.
## Running Tests
Run `make test` to run the tests. Tests run in a container. If you drop in "import ipdb; ipdb.set_trace()" anywhere in the project code, you'll drop into a debugging session if the tests hit that code.
## Generating Data for Performance Problems
Recreating many of the performance problems in this book requires a large amount of data in your database. This project includes a management command that will generate analytics events sufficient to cause performance problems.
Here's an example of using the management command to generate 500,000 analytics events for the user with
ID 1 (in my case, this is my admin user):
$ docker-compose run web ./manage.py generate_events --num 500000 --user-id 1
## Copyright
This example code is copyright 2020 Andrew Brookins.