Prepare Database

Backend.AI makes use of PostgreSQL as its main database. Launch the service using docker compose by generating the file $HOME/halfstack/docker-compose.hs.postgres.yaml and populating it with the following YAML. Feel free to adjust the volume paths and port settings. Please refer the latest configuration (it’s a symbolic link so follow the filename in it) if needed.

version: "3"
x-base: &base
   logging:
      driver: "json-file"
      options:
         max-file: "5"
         max-size: "10m"

services:
   backendai-pg-active:
      <<: *base
      image: postgres:13.2-alpine
      restart: unless-stopped
      command: >
         postgres
         -c "max_connections=256"
         -c "max_worker_processes=4"
         -c "deadlock_timeout=10s"
         -c "lock_timeout=60000"
         -c "idle_in_transaction_session_timeout=60000"
      environment:
         - POSTGRES_USER=postgres
         - POSTGRES_PASSWORD=develove
         - POSTGRES_DB=backend
         - POSTGRES_INITDB_ARGS="--data-checksums"
      healthcheck:
         test: ["CMD", "pg_isready", "-U", "postgres"]
         interval: 10s
         timeout: 3s
         retries: 10
      volumes:
         - "${HOME}/.data/backend.ai/postgres-data/active:/var/lib/postgresql/data:rw"
      ports:
         - "8100:5432"
      networks:
         half_stack:
      cpu_count: 4
      mem_limit: "4g"

networks:
    half_stack:

Execute the following command to start the service container. The project ${USER} is added for operational convenience.

$ cd ${HOME}/halfstack
$ docker compose -f docker-compose.hs.postgres.yaml -p ${USER} up -d
$ # -- To terminate the container:
$ # docker compose -f docker-compose.hs.postgres.yaml -p ${USER} down
$ # -- To see the container logs:
$ # docker compose -f docker-compose.hs.postgres.yaml -p ${USER} logs -f