Okay, I have a backup of all data before the update.
I can try restoring the database from the backup on v1.9.0.
Regarding the github issue - Can you send the docker-compose you used for 1.9 that works and 1.10 that doesn't work for you?
The docker-compose.yml file is exactly the same with the difference of changing the latest tag to 1.9.0
version: "3.6"
services:
apiserver:
command:
- apiserver
container_name: clearml-apiserver
image: allegroai/clearml:1.9
restart: unless-stopped
volumes:
- /opt/clearml/logs:/var/log/clearml
- /opt/clearml/config:/opt/clearml/config
- /opt/clearml/data/fileserver:/mnt/fileserver
depends_on:
- redis
- mongo
- elasticsearch
- fileserver
environment:
CLEARML_ELASTIC_SERVICE_HOST: elasticsearch
CLEARML_ELASTIC_SERVICE_PORT: 9200
CLEARML_ELASTIC_SERVICE_PASSWORD: ${ELASTIC_PASSWORD}
CLEARML_MONGODB_SERVICE_HOST: mongo
CLEARML_MONGODB_SERVICE_PORT: 27017
CLEARML_REDIS_SERVICE_HOST: redis
CLEARML_REDIS_SERVICE_PORT: 6379
CLEARML_SERVER_DEPLOYMENT_TYPE: ${CLEARML_SERVER_DEPLOYMENT_TYPE:-linux}
CLEARML__apiserver__pre_populate__enabled: "true"
CLEARML__apiserver__pre_populate__zip_files: "/opt/clearml/db-pre-populate"
CLEARML__apiserver__pre_populate__artifacts_path: "/mnt/fileserver"
CLEARML__services__async_urls_delete__enabled: "true"
ports:
- "10008:8008"
networks:
- backend
- frontend
elasticsearch:
networks:
- backend
container_name: clearml-elastic
environment:
ES_JAVA_OPTS: -Xms2g -Xmx2g -Dlog4j2.formatMsgNoLookups=true
ELASTIC_PASSWORD: ${ELASTIC_PASSWORD}
bootstrap.memory_lock: "true"
cluster.name: clearml
cluster.routing.allocation.node_initial_primaries_recoveries: "500"
cluster.routing.allocation.disk.watermark.low: 500mb
cluster.routing.allocation.disk.watermark.high: 500mb
cluster.routing.allocation.disk.watermark.flood_stage: 500mb
discovery.zen.minimum_master_nodes: "1"
discovery.type: "single-node"
http.compression_level: "7"
node.ingest: "true"
node.name: clearml
reindex.remote.whitelist: '*.*'
xpack.monitoring.enabled: "false"
xpack.security.enabled: "false"
ulimits:
memlock:
soft: -1
hard: -1
nofile:
soft: 65536
hard: 65536
image: docker.elastic.co/elasticsearch/elasticsearch:7.17.7
restart: unless-stopped
volumes:
- /opt/clearml/data/elastic_7:/usr/share/elasticsearch/data
- /usr/share/elasticsearch/logs
fileserver:
networks:
- backend
- frontend
command:
- fileserver
container_name: clearml-fileserver
image: allegroai/clearml:1.9
environment:
CLEARML__fileserver__delete__allow_batch: "true"
restart: unless-stopped
volumes:
- /opt/clearml/logs:/var/log/clearml
- /opt/clearml/data/fileserver:/mnt/fileserver
- /opt/clearml/config:/opt/clearml/config
ports:
- "10081:8081"
mongo:
networks:
- backend
container_name: clearml-mongo
image: mongo:4.4.9
restart: unless-stopped
command: --setParameter internalQueryMaxBlockingSortMemoryUsageBytes=196100200
volumes:
- /opt/clearml/data/mongo_4/db:/data/db
- /opt/clearml/data/mongo_4/configdb:/data/configdb
redis:
networks:
- backend
container_name: clearml-redis
image: redis:5.0
restart: unless-stopped
volumes:
- /opt/clearml/data/redis:/data
webserver:
command:
- webserver
container_name: clearml-webserver
# environment:
# CLEARML_SERVER_SUB_PATH : clearml-web # Allow Clearml to be served with a URL path prefix.
image: allegroai/clearml:1.9
restart: unless-stopped
depends_on:
- apiserver
ports:
- "10080:80"
networks:
- backend
- frontend
async_delete:
depends_on:
- apiserver
- redis
- mongo
- elasticsearch
- fileserver
container_name: async_delete
image: allegroai/clearml:1.9
networks:
- backend
restart: unless-stopped
environment:
CLEARML_ELASTIC_SERVICE_HOST: elasticsearch
CLEARML_ELASTIC_SERVICE_PORT: 9200
CLEARML_ELASTIC_SERVICE_PASSWORD: ${ELASTIC_PASSWORD}
CLEARML_MONGODB_SERVICE_HOST: mongo
CLEARML_MONGODB_SERVICE_PORT: 27017
CLEARML_REDIS_SERVICE_HOST: redis
CLEARML_REDIS_SERVICE_PORT: 6379
PYTHONPATH: /opt/clearml/apiserver
CLEARML__services__async_urls_delete__fileserver__url_prefixes: "[${CLEARML_FILES_HOST:-}]"
entrypoint:
- python3
- -m
- jobs.async_urls_delete
- --fileserver-host
-
volumes:
- /opt/clearml/logs:/var/log/clearml
agent-services:
networks:
- backend
container_name: clearml-agent-services
image: allegroai/clearml-agent-services:latest
deploy:
restart_policy:
condition: on-failure
privileged: true
environment:
CLEARML_HOST_IP: XXXXXXXXXXX
CLEARML_WEB_HOST: ${CLEARML_WEB_HOST:-}
CLEARML_API_HOST:
CLEARML_FILES_HOST: ${CLEARML_FILES_HOST:-}
CLEARML_API_ACCESS_KEY: XXXXXXXXXXXXXXXX
CLEARML_API_SECRET_KEY: XXXXXXXXXXXXXXXX
CLEARML_AGENT_GIT_USER: ${CLEARML_AGENT_GIT_USER}
CLEARML_AGENT_GIT_PASS: ${CLEARML_AGENT_GIT_PASS}
CLEARML_AGENT_UPDATE_VERSION: ${CLEARML_AGENT_UPDATE_VERSION:->=0.17.0}
CLEARML_AGENT_DEFAULT_BASE_DOCKER: "ubuntu:18.04"
AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID:-}
AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY:-}
AWS_DEFAULT_REGION: ${AWS_DEFAULT_REGION:-}
AZURE_STORAGE_ACCOUNT: ${AZURE_STORAGE_ACCOUNT:-}
AZURE_STORAGE_KEY: ${AZURE_STORAGE_KEY:-}
GOOGLE_APPLICATION_CREDENTIALS: ${GOOGLE_APPLICATION_CREDENTIALS:-}
CLEARML_WORKER_ID: "clearml-services"
CLEARML_AGENT_DOCKER_HOST_MOUNT: "/opt/clearml/agent:/root/.clearml"
SHUTDOWN_IF_NO_ACCESS_KEY: 1
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- /opt/clearml/agent:/root/.clearml
depends_on:
- apiserver
entrypoint: >
bash -c "curl --retry 10 --retry-delay 10 --retry-connrefused '
' && /usr/agent/entrypoint.sh"
networks:
backend:
driver: bridge
frontend:
driver: bridge
Reports are working after restoring the data from backup! Thank you.
Regarding the github issue - Can you send the docker-compose you used for 1.9 that works and 1.10 that doesn't work for you?
Hi @<1523703746951909376:profile|SoggyBeetle95> , if you already ran v1.10 then the DB was migrated and 1.9 can not be run on it. ClearML does not support downgrade.
If you need to downgrade then the best that I can suggest is that you restore your DB from the backup if you created any before the upgrade.