cctvzd7 opened a new issue #17370: URL: https://github.com/apache/airflow/issues/17370
**Apache Airflow version**: 2.1.1 **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): **Environment**: - **Cloud provider or hardware configuration**: - **OS** (e.g. from /etc/os-release): - **Kernel** (e.g. `uname -a`): Linux e08g09383.cloud.eu13 3.10.0-327.ali2010.rc7.alios7.x86_64 #1 SMP Thu Jun 29 21:45:21 CST 2017 x86_64 x86_64 x86_64 GNU/Linux - **Install tools**: docker-compose - **Others**: I installed the airflow via docker-compose.yaml, and my docker-compose.yaml is as follows: ` # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # # Basic Airflow cluster configuration for CeleryExecutor with Redis and MySQL. # # WARNING: This configuration is for local development. Do not use it in a production deployment. # # This configuration supports basic configuration using environment variables or an .env file # The following variables are supported: # # AIRFLOW_IMAGE_NAME - Docker image name used to run Airflow. # Default: apache/airflow:master-python3.8 # AIRFLOW_UID - User ID in Airflow containers # Default: 50000 # AIRFLOW_GID - Group ID in Airflow containers # Default: 50000 # # Those configurations are useful mostly in case of standalone testing/running Airflow in test/try-out mode # # _AIRFLOW_WWW_USER_USERNAME - Username for the administrator account (if requested). # Default: airflow # _AIRFLOW_WWW_USER_PASSWORD - Password for the administrator account (if requested). # Default: airflow # _PIP_ADDITIONAL_REQUIREMENTS - Additional PIP requirements to add when starting all containers. # Default: '' # # Feel free to modify this file to suit your needs. --- version: '3' x-airflow-common: &airflow-common image: ${AIRFLOW_IMAGE_NAME} environment: &airflow-common-env AIRFLOW__CORE__EXECUTOR: CeleryExecutor AIRFLOW__CORE__SQL_ALCHEMY_CONN: mysql+pymysql://airflow:252***03e@mysql/airflow AIRFLOW__CELERY__RESULT_BACKEND: db+mysql://airflow:252***03e@mysql/airflow AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0 AIRFLOW__CORE__FERNET_KEY: '' AIRFLOW__CORE__DEFAULT_TIMEZONE: 'Asia/Shanghai' AIRFLOW__WEBSERVER__DEFAULT_UI_TIMEZONE: 'Asia/Shanghai' AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true' AIRFLOW__CORE__LOAD_EXAMPLES: 'false' AIRFLOW__API__AUTH_BACKEND: 'airflow.api.auth.backend.basic_auth' _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} TZ: 'Asia/Shanghai' volumes: - ./dags:/opt/airflow/dags - ./logs:/opt/airflow/logs - ./plugins:/opt/airflow/plugins user: "${AIRFLOW_UID:-50000}:${AIRFLOW_GID:-50000}" depends_on: redis: condition: service_healthy mysql: condition: service_healthy services: mysql: image: reg.docker.alibaba-inc.com/ververica-paas/mysql-server:8.0.25 command: --default-authentication-plugin=mysql_native_password restart: always deploy: resources: limits: memory: 4G cpus: 1 ports: - 3606:3306 security_opt: - seccomp:unconfined volumes: - ./mysql-data:/var/lib/mysql environment: MYSQL_ROOT_PASSWORD: 252***03e MYSQL_DATABASE: airflow MYSQL_USER: airflow MYSQL_PASSWORD: 252***03e healthcheck: test: mysqladmin ping -h localhost -u $$MYSQL_USER --password=$$MYSQL_PASSWORD interval: 5s timeout: 5s retries: 5 redis: image: reg.docker.alibaba-inc.com/ververica-paas/redis:6.2.4-buster ports: - 6379:6379 volumes: - ./redis-data:/data healthcheck: test: [ "CMD", "redis-cli", "ping" ] interval: 5s timeout: 30s retries: 50 restart: always deploy: resources: limits: memory: 4G cpus: 1 airflow-webserver: <<: *airflow-common command: webserver ports: - 9999:8080 healthcheck: test: [ "CMD", "curl", "--fail", "http://localhost:8080/health"; ] interval: 10s timeout: 10s retries: 5 restart: always deploy: resources: limits: memory: 8G cpus: 2 airflow-scheduler: <<: *airflow-common command: scheduler healthcheck: test: [ "CMD-SHELL", 'airflow jobs check --job-type SchedulerJob --hostname "$${HOSTNAME}"' ] interval: 10s timeout: 10s retries: 5 restart: always deploy: resources: limits: memory: 4G cpus: 1 airflow-worker: <<: *airflow-common command: celery worker healthcheck: test: - "CMD-SHELL" - 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"' interval: 10s timeout: 10s retries: 5 restart: always deploy: resources: limits: memory: 8G cpus: 2 airflow-init: <<: *airflow-common command: version environment: <<: *airflow-common-env _AIRFLOW_DB_UPGRADE: 'true' _AIRFLOW_WWW_USER_CREATE: 'true' _AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME} _AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD} deploy: resources: limits: memory: 2G cpus: 1 flower: <<: *airflow-common command: celery flower ports: - 5555:5555 healthcheck: test: [ "CMD", "curl", "--fail", "http://localhost:5555/"; ] interval: 10s timeout: 10s retries: 5 restart: always deploy: resources: limits: memory: 4G cpus: 1 networks: default: external: name: airflow_default ` **What happened**: A task was set to be failed directly by scheduler, while all up streams were success. The task has not be run, no log info either. **What you expected to happen**: The task should be running **How to reproduce it**: It happens by chance, I can not reproduce it. **Anything else we need to know**: A log from scheduler: [2021-08-01 21:46:14,003] {scheduler_job.py:600} INFO - Executed failure callback for <TaskInstance: blink_create_cluster.create_master_ecs_task 2021-08-01 13:46:09.195000+00:00 [failed]> in state failed -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
