OR3X
IImmich
•Created by OR3X on 5/22/2025 in #help-desk-support
Failed to activate VectorChord extension
yep, that did it. Thanks!
10 replies
IImmich
•Created by OR3X on 5/22/2025 in #help-desk-support
Failed to activate VectorChord extension
I literally saw that in another post and for some reason didn't see it in my compose file
10 replies
IImmich
•Created by OR3X on 5/22/2025 in #help-desk-support
Failed to activate VectorChord extension
doh
10 replies
IImmich
•Created by OR3X on 5/22/2025 in #help-desk-support
Failed to activate VectorChord extension
Modified docker-compose.yml
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
volumes:
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ports:
- 2283:2283
depends_on:
- redis
- database
restart: always
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends:
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
redis:
container_name: immich_redis
image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:84882e87b54734154586e5f8abd4dce69fe7311315e2fc6d67c29614c8de2672
restart: always
database:
container_name: immich_postgres
image: ghcr.io/immich-app/postgres:14-vectorchord0.3.0-pgvectors0.2.0
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
# Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
DB_STORAGE_TYPE: 'HDD'
volumes:
- pgdata:/var/lib/postgresql/data
restart: always
command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
volumes:
pgdata:
model-cache:
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
volumes:
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ports:
- 2283:2283
depends_on:
- redis
- database
restart: always
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends:
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
redis:
container_name: immich_redis
image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:84882e87b54734154586e5f8abd4dce69fe7311315e2fc6d67c29614c8de2672
restart: always
database:
container_name: immich_postgres
image: ghcr.io/immich-app/postgres:14-vectorchord0.3.0-pgvectors0.2.0
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
# Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
DB_STORAGE_TYPE: 'HDD'
volumes:
- pgdata:/var/lib/postgresql/data
restart: always
command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
volumes:
pgdata:
model-cache:
10 replies
IImmich
•Created by OR3X on 5/22/2025 in #help-desk-support
Failed to activate VectorChord extension
Orig docker-compose.yml:
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
volumes:
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ports:
- 2283:2283
depends_on:
- redis
- database
restart: always
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
redis:
container_name: immich_redis
image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:84882e87b54734154586e5f8abd4dce69fe7311315e2fc6d67c29614c8de2672
restart: always
database:
container_name: immich_postgres
image: registry.hub.docker.com/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
volumes:
- pgdata:/var/lib/postgresql/data
restart: always
command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
volumes:
pgdata:
model-cache:
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
volumes:
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
env_file:
- .env
ports:
- 2283:2283
depends_on:
- redis
- database
restart: always
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
redis:
container_name: immich_redis
image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:84882e87b54734154586e5f8abd4dce69fe7311315e2fc6d67c29614c8de2672
restart: always
database:
container_name: immich_postgres
image: registry.hub.docker.com/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
volumes:
- pgdata:/var/lib/postgresql/data
restart: always
command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
volumes:
pgdata:
model-cache:
10 replies