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README.md |
Pixelfed Docker Server Role
This README details the steps to manage your Pixelfed instance running in a Docker container. This setup is part of the server_docker-pixelfed role within Kevin Veen-Birkenbach's computer-playbook located at this GitHub repository.
Accessing Services
Application Access
To gain shell access to the application container, run the following command:
docker-compose exec -it application bash
Database Access
To access the MariaDB instance in the database container, run the following command:
docker-compose exec -it database mariadb -u pixelfed -p
Instagram Import Cleanup
If you have imported posts from Instagram, you can clean up the imported data and files as follows:
Database Cleanup
Run these commands inside your MariaDB shell to remove import related data:
DELETE from import_posts WHERE 1;
DELETE from import_jobs WHERE 1;
DELETE from import_datas WHERE 1;
DELETE from statuses where created_at < "2022-12-01 22:15:39";
DELETE from media where deleted_at >= "2023-07-28 14:39:05";
File System Cleanup
Run these commands to remove the imported files and trigger the cleanup job:
docker-compose exec -u "www-data" application rm -rv "/var/www/storage/app/imports/1"
docker-compose exec -u "www-data" application php artisan schedule:run
Full Cleanup (Reset)
For a hard reset, which will delete all data and stop all services, use the following commands:
docker-compose down
docker volume rm pixelfed_application_data pixelfed_database pixelfed_redis_data
Update Procedure
To update your Pixelfed instance, navigate to the directory where your docker-compose.yml
file is located and run these commands:
cd {{path_docker_compose_files}}pixelfed/ &&
docker-compose down &&
docker network prune -f &&
docker-compose pull &&
docker-compose build &&
docker-compose -p pixelfed up -d --force-recreate
Inspecting the Services
To see the status of all services or follow the logs, use these commands:
docker-compose ps -a
docker-compose logs -f
Further Reading
For additional information, refer to these resources:
Author: Kevin Veen-Birkenbach, https://www.veen.world, kevin@veen.world
This README was optimized with the help of OpenAI's ChatGPT. You can view the conversation here.