* Optimize status:modqueue and status:unmoderated searches. This brings them down from taking 500ms-1000ms per search to ~5ms. * Change status:unmoderated so that it only filters out the user's disapproved posts, not the user's own uploads or past approvals. Now it's equivalent to `status:modqueue -disapproved:evazion`, whereas before it was equivalent to `status:modqueue -disapproved:evazion -approver:evazion -user:evazion`. Filtering out the user's own uploads and approvals was slow and usually unnecessary, since for most users it's rare for their own uploads or approvals to reenter the modqueue. Before status:modqueue did this: SELECT * FROM posts WHERE is_pending = TRUE OR is_flagged = TRUE OR (is_deleted = TRUE AND id IN (SELECT post_id FROM post_appeals WHERE status = 0)) Now we do this: SELECT * FROM posts WHERE id IN (SELECT id FROM posts WHERE is_pending = TRUE UNION ALL SELECT id FROM posts WHERE is_flagged = TRUE UNION ALL SELECT id FROM posts WHERE id IN (SELECT post_id FROM post_appeals WHERE status = 0)) Postgres had a bad time with the "pending or flagged or has a pending appeal" clause because it didn't know that posts can only be in one state at a time, so it overestimated how many posts would be returned and chose a seq scan. Replacing the OR with a UNION avoids this.
Quickstart
Run this to start a basic Danbooru instance:
curl -sSL https://raw.githubusercontent.com/danbooru/danbooru/master/bin/danbooru | sh
This will install Docker Compose and use it to start Danbooru. When it's done, Danbooru will be running at http://localhost:3000.
Alternatively, if you already have Docker Compose installed, you can just do:
wget https://raw.githubusercontent.com/danbooru/danbooru/master/docker-compose.yaml
docker-compose up
Manual Installation
Follow the INSTALL.debian script to install Danbooru.
The INSTALL.debian script is written for Debian, but can be adapted for other distributions. Danbooru has been successfully installed on Debian, Ubuntu, Fedora, Arch, and OS X. It is recommended that you use an Ubuntu-based system since Ubuntu is what is used in development and production.
See here for a guide on how set up Danbooru inside a virtual machine.
For best performance, you will need at least 256MB of RAM for PostgreSQL and Rails. The memory requirement will grow as your database gets bigger.
In production, Danbooru uses PostgreSQL 10.18, but any release later than this should work.
Troubleshooting
If your setup is not working, here are the steps I usually recommend to people:
-
Test the database. Make sure you can connect to it using
psql. Make sure the tables exist. If this fails, you need to work on correctly installing PostgreSQL, importing the initial schema, and running the migrations. -
Test the Rails database connection by using
bin/rails console. RunPost.countto make sure Rails can connect to the database. If this fails, you need to make sure your Danbooru configuration files are correct. -
Test Nginx to make sure it's working correctly. You may need to debug your Nginx configuration file.
-
Check all log files.
Services
Danboou depends on a couple of cloud services and several microservices to implement certain features.
Amazon Web Services
The following features require an Amazon AWS account:
- Pool history
- Post history
Google APIs
The following features require a Google Cloud account:
- BigQuery database export
IQDB Service
IQDB integration is delegated to the IQDB service.
Archive Service
In order to access pool and post histories you will need to install and configure the Archives service.
Reportbooru Service
The following features are delegated to the Reportbooru service:
- Post views
- Missed searches report
- Popular searches report
Recommender Service
Post recommendations require the Recommender service.