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d46e5f2436
We've been keen to try this for a while as it means we can remove redis as a dependency, which makes Immich easier to setup and run. This replaces bullmq with a bespoke postgres queue. Jobs in the queue are processed either immediately via triggers and notifications, or eventually if a notification is missed.
72 lines
3.0 KiB
YAML
72 lines
3.0 KiB
YAML
#
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# WARNING: To install Immich, follow our guide: https://immich.app/docs/install/docker-compose
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#
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# Make sure to use the docker-compose.yml of the current release:
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#
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# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
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#
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# The compose file on main may not be compatible with the latest release.
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name: immich
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services:
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immich-server:
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container_name: immich_server
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image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
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# extends:
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# file: hwaccel.transcoding.yml
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# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
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volumes:
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# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
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- ${UPLOAD_LOCATION}:/usr/src/app/upload
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- /etc/localtime:/etc/localtime:ro
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env_file:
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- .env
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ports:
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- '2283:2283'
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depends_on:
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- database
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restart: always
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healthcheck:
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disable: false
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immich-machine-learning:
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container_name: immich_machine_learning
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# For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
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# Example tag: ${IMMICH_VERSION:-release}-cuda
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image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
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# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
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# file: hwaccel.ml.yml
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# service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
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volumes:
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- model-cache:/cache
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env_file:
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- .env
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restart: always
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healthcheck:
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disable: false
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database:
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container_name: immich_postgres
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image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:739cdd626151ff1f796dc95a6591b55a714f341c737e27f045019ceabf8e8c52
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environment:
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POSTGRES_PASSWORD: ${DB_PASSWORD}
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POSTGRES_USER: ${DB_USERNAME}
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POSTGRES_DB: ${DB_DATABASE_NAME}
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POSTGRES_INITDB_ARGS: '--data-checksums'
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volumes:
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# Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
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- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
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healthcheck:
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test: >-
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pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1; Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
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interval: 5m
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start_interval: 30s
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start_period: 5m
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command: >-
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postgres -c shared_preload_libraries=vectors.so -c 'search_path="$$user", public, vectors' -c logging_collector=on -c max_wal_size=2GB -c shared_buffers=512MB -c wal_compression=on
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restart: always
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volumes:
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model-cache:
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