Installing with PostgreSQL
PostgreSQL might be considered if you need to support many concurrent users. In addition, some features are only enabled on PostgreSQL, such as fuzzy search.
For Environmental Variable Configuration See:
---
version: "3.7"
services:
mealie:
image: ghcr.io/mealie-recipes/mealie:nightly
container_name: mealie
ports:
- "9925:9000"
deploy:
resources:
limits:
memory: 1000M # (1)
depends_on:
- postgres
volumes:
- mealie-data:/app/data/
environment:
# Set Backend ENV Variables Here
- ALLOW_SIGNUP=true
- PUID=1000
- PGID=1000
- TZ=America/Anchorage
- MAX_WORKERS=1
- WEB_CONCURRENCY=1
- BASE_URL=https://mealie.yourdomain.com
# Database Settings
- DB_ENGINE=postgres
- POSTGRES_USER=mealie
- POSTGRES_PASSWORD=mealie
- POSTGRES_SERVER=postgres
- POSTGRES_PORT=5432
- POSTGRES_DB=mealie
restart: always
postgres:
container_name: postgres
image: postgres:15
restart: always
volumes:
- ./mealie-pgdata:/var/lib/postgresql/data
environment:
POSTGRES_PASSWORD: mealie
POSTGRES_USER: mealie
volumes:
mealie-data:
driver: local
mealie-pgdata:
driver: local
- To access the mealie interface you only need to expose port 9000 on the mealie container. Here we expose port 9925 on the host, but feel free to change this to any port you like.
- Setting an explicit memory limit is recommended. Python can pre-allocate larger amounts of memory than is necessary if you have a machine with a lot of RAM. This can cause the container to idle at a high memory usage. Setting a memory limit will improve idle performance.