immich
immich copied to clipboard
immich v1.120.2 keep restarting and high CPU usage
The bug
I just updated to v1.120.2, but immich_server keeps restarting and occupies 100% CPU.
The OS that Immich Server is running on
Ubuntu 22
Version of Immich Server
v1.120.2
Version of Immich Mobile App
v1.120.2
Platform with the issue
- [X] Server
- [ ] Web
- [ ] Mobile
Your docker-compose.yml content
#
# WARNING: 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
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
# extends:
# file: hwaccel.transcoding.yml
# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
volumes:
# 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}:/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: docker.io/redis:6.2-alpine@sha256:2ba50e1ac3a0ea17b736ce9db2b0a9f6f8b85d4c27d5f5accc6a416d8f42c6d5
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
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
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}' --username='${DB_USERNAME}' || 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',
]
restart: always
volumes:
model-cache:
Your .env content
# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables
# The location where your uploaded files are stored
UPLOAD_LOCATION=./library
# The location where your database files are stored
DB_DATA_LOCATION=./postgres
# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
TZ=America/New_York
# The Immich version to use. You can pin this to a specific version like "v1.71.0"
IMMICH_VERSION=release
# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
DB_PASSWORD=xxxxx
# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich
Reproduction steps
- docker rmi xxxxxxx (I first removed all the immich images)
- docker compose up -d --pull always (always pull the latest version)
- After a while, CPU reaches 100% usage. ...
Relevant log output
immich_postgres |
immich_postgres | PostgreSQL Database directory appears to contain a database; Skipping initialization
immich_postgres |
immich_postgres | 2024-11-13 17:01:48.852 UTC [1] LOG: redirecting log output to logging collector process
immich_postgres | 2024-11-13 17:01:48.852 UTC [1] HINT: Future log output will appear in directory "log".
immich_machine_learning | [11/13/24 12:01:50] INFO Starting gunicorn 23.0.0
immich_machine_learning | [11/13/24 12:01:50] INFO Listening at: http://[::]:3003 (9)
immich_machine_learning | [11/13/24 12:01:50] INFO Using worker: app.config.CustomUvicornWorker
immich_redis | 1:C 13 Nov 2024 17:01:48.615 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
immich_redis | 1:C 13 Nov 2024 17:01:48.615 # Redis version=6.2.16, bits=64, commit=00000000, modified=0, pid=1, just started
immich_redis | 1:C 13 Nov 2024 17:01:48.615 # Warning: no config file specified, using the default config. In order to specify a config file use redis-server /path/to/redis.conf
immich_redis | 1:M 13 Nov 2024 17:01:48.615 * monotonic clock: POSIX clock_gettime
immich_redis | 1:M 13 Nov 2024 17:01:48.617 * Running mode=standalone, port=6379.
immich_redis | 1:M 13 Nov 2024 17:01:48.617 # Server initialized
immich_machine_learning | [11/13/24 12:01:50] INFO Booting worker with pid: 10
immich_machine_learning | [11/13/24 12:02:02] INFO Started server process [10]
immich_machine_learning | [11/13/24 12:02:02] INFO Waiting for application startup.
immich_machine_learning | [11/13/24 12:02:02] INFO Created in-memory cache with unloading after 300s
immich_machine_learning | of inactivity.
immich_machine_learning | [11/13/24 12:02:02] INFO Initialized request thread pool with 8 threads.
immich_machine_learning | [11/13/24 12:02:02] INFO Application startup complete.
immich_machine_learning | [11/13/24 12:03:20] ERROR Worker (pid:10) was sent SIGKILL! Perhaps out of
immich_machine_learning | memory?
immich_machine_learning | [11/13/24 12:03:20] INFO Booting worker with pid: 28
immich_redis | 1:M 13 Nov 2024 17:01:48.618 * Ready to accept connections
immich_server | Initializing Immich v1.120.2
immich_server | Detected CPU Cores: 8
immich_server | Starting api worker
immich_server | Starting microservices worker
immich_server | (node:8) [DEP0060] DeprecationWarning: The `util._extend` API is deprecated. Please use Object.assign() instead.
immich_server | (Use `node --trace-deprecation ...` to show where the warning was created)
immich_server | Initializing Immich v1.120.2
immich_server | Detected CPU Cores: 8
➜ docker-compose docker compose logs
immich_machine_learning | [11/13/24 12:01:50] INFO Starting gunicorn 23.0.0
immich_redis | 1:C 13 Nov 2024 17:01:48.615 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
immich_redis | 1:C 13 Nov 2024 17:01:48.615 # Redis version=6.2.16, bits=64, commit=00000000, modified=0, pid=1, just started
immich_redis | 1:C 13 Nov 2024 17:01:48.615 # Warning: no config file specified, using the default config. In order to specify a config file use redis-server /path/to/redis.conf
immich_redis | 1:M 13 Nov 2024 17:01:48.615 * monotonic clock: POSIX clock_gettime
immich_redis | 1:M 13 Nov 2024 17:01:48.617 * Running mode=standalone, port=6379.
immich_redis | 1:M 13 Nov 2024 17:01:48.617 # Server initialized
immich_redis | 1:M 13 Nov 2024 17:01:48.618 * Ready to accept connections
immich_machine_learning | [11/13/24 12:01:50] INFO Listening at: http://[::]:3003 (9)
immich_machine_learning | [11/13/24 12:01:50] INFO Using worker: app.config.CustomUvicornWorker
immich_machine_learning | [11/13/24 12:01:50] INFO Booting worker with pid: 10
immich_machine_learning | [11/13/24 12:02:02] INFO Started server process [10]
immich_machine_learning | [11/13/24 12:02:02] INFO Waiting for application startup.
immich_machine_learning | [11/13/24 12:02:02] INFO Created in-memory cache with unloading after 300s
immich_machine_learning | of inactivity.
immich_machine_learning | [11/13/24 12:02:02] INFO Initialized request thread pool with 8 threads.
immich_machine_learning | [11/13/24 12:02:02] INFO Application startup complete.
immich_machine_learning | [11/13/24 12:03:20] ERROR Worker (pid:10) was sent SIGKILL! Perhaps out of
immich_machine_learning | memory?
immich_machine_learning | [11/13/24 12:03:20] INFO Booting worker with pid: 28
immich_machine_learning | [11/13/24 12:05:05] ERROR Worker (pid:28) was sent SIGKILL! Perhaps out of
immich_machine_learning | memory?
immich_machine_learning | [11/13/24 12:05:06] INFO Booting worker with pid: 44
immich_machine_learning | [11/13/24 12:05:51] INFO Started server process [44]
immich_machine_learning | [11/13/24 12:05:51] INFO Waiting for application startup.
immich_machine_learning | [11/13/24 12:05:51] INFO Created in-memory cache with unloading after 300s
immich_machine_learning | of inactivity.
immich_machine_learning | [11/13/24 12:05:51] INFO Initialized request thread pool with 8 threads.
immich_machine_learning | [11/13/24 12:05:51] INFO Application startup complete.
immich_postgres |
immich_postgres | PostgreSQL Database directory appears to contain a database; Skipping initialization
immich_postgres |
immich_postgres | 2024-11-13 17:01:48.852 UTC [1] LOG: redirecting log output to logging collector process
immich_postgres | 2024-11-13 17:01:48.852 UTC [1] HINT: Future log output will appear in directory "log".
immich_server | Initializing Immich v1.120.2
immich_server | Detected CPU Cores: 8
immich_server | Starting api worker
immich_server | Starting microservices worker
immich_server | (node:8) [DEP0060] DeprecationWarning: The `util._extend` API is deprecated. Please use Object.assign() instead.
immich_server | (Use `node --trace-deprecation ...` to show where the warning was created)
immich_server | Initializing Immich v1.120.2
immich_server | Detected CPU Cores: 8
immich_server | Starting api worker
immich_server | Starting microservices worker
immich_server | (node:7) [DEP0060] DeprecationWarning: The `util._extend` API is deprecated. Please use Object.assign() instead.
immich_server | (Use `node --trace-deprecation ...` to show where the warning was created)
immich_server | Initializing Immich v1.120.2
immich_server | Detected CPU Cores: 8
Additional information
I see an Error in the log, Worker (pid:10) was sent SIGKILL! Perhaps out of memory?
but the system has 16GB of RAM and only less than 10% is utilized.
I also ensured that the UPLOAD_LOCATION
and DB_DATA_LOCATION
directories all have 775 permission.