Upgrade immich to v2.2.3

immich/.env

@@ -9,7 +9,7 @@ DB_DATA_LOCATION=/mnt/storage/appdata/immich/postgres
 TZ=America/New_York
 
 # The Immich version to use. You can pin this to a specific version like "v1.71.0"
-IMMICH_VERSION=v1.138.0
+IMMICH_VERSION=v2.2.3
 
 # Connection secret for postgres. You should change it to a random password
 DB_PASSWORD=postgres

immich/compose.yaml

@@ -1,10 +1,11 @@
 #
-# WARNING: Make sure to use the docker-compose.yml of the current release:
+# WARNING: To install Immich, follow our guide: https://immich.app/docs/install/docker-compose
+#
+# Make sure to use the docker-compose.yml of the current release:
 #
 # https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
 #
 # The compose file on main may not be compatible with the latest release.
-#
 
 name: immich
 
@@ -16,54 +17,57 @@ services:
     #   file: hwaccel.transcoding.yml
     #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
     volumes:
-      - ${UPLOAD_LOCATION}:/usr/src/app/upload
+      # 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
+      - ${UPLOAD_LOCATION}:/data
       - /etc/localtime:/etc/localtime:ro
     env_file:
       - .env
     ports:
-      - 2283:2283
+      - '2283:2283'
     depends_on:
       - redis
       - database
     restart: always
+    healthcheck:
+      disable: false
 
   immich-machine-learning:
     container_name: immich_machine_learning
-    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
+    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] 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
+    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
     volumes:
       - model-cache:/cache
     env_file:
       - .env
     restart: always
+    healthcheck:
+      disable: false
 
   redis:
     container_name: immich_redis
-    image: docker.io/redis:6.2-alpine@sha256:d6c2911ac51b289db208767581a5d154544f2b2fe4914ea5056443f62dc6e900
+    image: docker.io/valkey/valkey:8-bookworm@sha256:fea8b3e67b15729d4bb70589eb03367bab9ad1ee89c876f54327fc7c6e618571
     healthcheck:
       test: redis-cli ping || exit 1
     restart: always
 
   database:
     container_name: immich_postgres
-    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
+    image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0@sha256:8d292bdb796aa58bbbaa47fe971c8516f6f57d6a47e7172e62754feb6ed4e7b0
     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:
+      # 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
       - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
-    healthcheck:
-      test: pg_isready --dbname='${DB_DATABASE_NAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
-      interval: 5m
-      start_interval: 30s
-      start_period: 5m
-    command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
+    shm_size: 128mb
     restart: always
 
 volumes: