I'm trying to run airflow locally with docker. But I keep running into a permission error (PermissionError: [Errno 13] Permission denied: '/opt/airflow/logs/scheduler').
I've tried running docker and VScode as administrator and also tried using icacl "C:\Users\Username \airflow\logs" /grant everyone:f
Here is my docker-compose.yaml file
# 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 PostgreSQL.
#
# 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:2.2.1
# AIRFLOW_UID - User 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
# In order to add custom dependencies or upgrade provider packages you can use your extended image.
# Comment the image line, place your Dockerfile in the directory where you placed the docker-compose.yaml
# and uncomment the "build" line below, Then run `docker-compose build` to build the images.
image: ${AIRFLOW_IMAGE_NAME:-apache/airflow:2.2.1}
# build: .
environment:
&airflow-common-env
AIRFLOW__CORE__EXECUTOR: CeleryExecutor
AIRFLOW__CORE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow
AIRFLOW__CELERY__RESULT_BACKEND: db+postgresql://airflow:airflow@postgres/airflow
AIRFLOW__CELERY__BROKER_URL: redis://:@redis:6379/0
AIRFLOW__CORE__FERNET_KEY: ''
AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION: 'true'
AIRFLOW__CORE__LOAD_EXAMPLES: 'true'
AIRFLOW__API__AUTH_BACKEND: 'airflow.api.auth.backend.basic_auth'
_PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-}
volumes:
- ./dags:/opt/airflow/dags
- ./logs:/opt/airflow/logs
- ./plugins:/opt/airflow/plugins
user: "${AIRFLOW_UID:-50000}:0"
depends_on:
&airflow-common-depends-on
redis:
condition: service_healthy
postgres:
condition: service_healthy
services:
postgres:
image: postgres:13
environment:
POSTGRES_USER: airflow
POSTGRES_PASSWORD: airflow
POSTGRES_DB: airflow
volumes:
- postgres-db-volume:/var/lib/postgresql/data
healthcheck:
test: ["CMD", "pg_isready", "-U", "airflow"]
interval: 5s
retries: 5
restart: always
redis:
image: redis:latest
expose:
- 6379
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 30s
retries: 50
restart: always
airflow-webserver:
<<: *airflow-common
command: webserver
ports:
- 8080:8080
healthcheck:
test: ["CMD", "curl", "--fail", "http://localhost:8080/health"]
interval: 10s
timeout: 10s
retries: 5
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully
airflow-scheduler:
<<: *airflow-common
command: scheduler
healthcheck:
test: ["CMD-SHELL", 'airflow jobs check --job-type SchedulerJob --hostname "$${HOSTNAME}"']
interval: 10s
timeout: 10s
retries: 5
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully
airflow-worker:
<<: *airflow-common
command: celery worker
healthcheck:
test:
- "CMD-SHELL"
- 'celery --app airflow.executors.celery_executor.app inspect ping -d "celery@$${HOSTNAME}"'
interval: 10s
timeout: 10s
retries: 5
environment:
<<: *airflow-common-env
# Required to handle warm shutdown of the celery workers properly
# See https://airflow.apache.org/docs/docker-stack/entrypoint.html#signal-propagation
DUMB_INIT_SETSID: "0"
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully
airflow-triggerer:
<<: *airflow-common
command: triggerer
healthcheck:
test: ["CMD-SHELL", 'airflow jobs check --job-type TriggererJob --hostname "$${HOSTNAME}"']
interval: 10s
timeout: 10s
retries: 5
restart: always
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully
airflow-init:
<<: *airflow-common
entrypoint: /bin/bash
# yamllint disable rule:line-length
command:
- -c
- |
function ver() {
printf "%04d%04d%04d%04d" $${1//./ }
}
airflow_version=$$(gosu airflow airflow version)
airflow_version_comparable=$$(ver $${airflow_version})
min_airflow_version=2.2.0
min_airflow_version_comparable=$$(ver $${min_airflow_version})
if (( airflow_version_comparable < min_airflow_version_comparable )); then
echo
echo -e "\033[1;31mERROR!!!: Too old Airflow version $${airflow_version}!\e[0m"
echo "The minimum Airflow version supported: $${min_airflow_version}. Only use this or higher!"
echo
exit 1
fi
if [[ -z "${AIRFLOW_UID}" ]]; then
echo
echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m"
echo "If you are on Linux, you SHOULD follow the instructions below to set "
echo "AIRFLOW_UID environment variable, otherwise files will be owned by root."
echo "For other operating systems you can get rid of the warning with manually created .env file:"
echo " See: https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#setting-the-right-airflow-user"
echo
fi
one_meg=1048576
mem_available=$$(($$(getconf _PHYS_PAGES) * $$(getconf PAGE_SIZE) / one_meg))
cpus_available=$$(grep -cE 'cpu[0-9]+' /proc/stat)
disk_available=$$(df / | tail -1 | awk '{print $$4}')
warning_resources="false"
if (( mem_available < 4000 )) ; then
echo
echo -e "\033[1;33mWARNING!!!: Not enough memory available for Docker.\e[0m"
echo "At least 4GB of memory required. You have $$(numfmt --to iec $$((mem_available * one_meg)))"
echo
warning_resources="true"
fi
if (( cpus_available < 2 )); then
echo
echo -e "\033[1;33mWARNING!!!: Not enough CPUS available for Docker.\e[0m"
echo "At least 2 CPUs recommended. You have $${cpus_available}"
echo
warning_resources="true"
fi
if (( disk_available < one_meg * 10 )); then
echo
echo -e "\033[1;33mWARNING!!!: Not enough Disk space available for Docker.\e[0m"
echo "At least 10 GBs recommended. You have $$(numfmt --to iec $$((disk_available * 1024 )))"
echo
warning_resources="true"
fi
if [[ $${warning_resources} == "true" ]]; then
echo
echo -e "\033[1;33mWARNING!!!: You have not enough resources to run Airflow (see above)!\e[0m"
echo "Please follow the instructions to increase amount of resources available:"
echo " https://airflow.apache.org/docs/apache-airflow/stable/start/docker.html#before-you-begin"
echo
fi
mkdir -p /sources/logs /sources/dags /sources/plugins
chown -R "${AIRFLOW_UID}:0" /sources/{logs,dags,plugins}
exec /entrypoint airflow version
# yamllint enable rule:line-length
environment:
<<: *airflow-common-env
_AIRFLOW_DB_UPGRADE: 'true'
_AIRFLOW_WWW_USER_CREATE: 'true'
_AIRFLOW_WWW_USER_USERNAME: ${_AIRFLOW_WWW_USER_USERNAME:-airflow}
_AIRFLOW_WWW_USER_PASSWORD: ${_AIRFLOW_WWW_USER_PASSWORD:-airflow}
user: "0:0"
volumes:
- .:/sources
airflow-cli:
<<: *airflow-common
profiles:
- debug
environment:
<<: *airflow-common-env
CONNECTION_CHECK_MAX_COUNT: "0"
# Workaround for entrypoint issue. See: https://github.com/apache/airflow/issues/16252
command:
- bash
- -c
- airflow
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
depends_on:
<<: *airflow-common-depends-on
airflow-init:
condition: service_completed_successfully
volumes:
postgres-db-volume:
This is the error I'm getting after I run docker-compose up. The error reoccurs for airflow-scheduler_1, airflow-webserver_1, flower_1,airflow-worker_1 .
airflow-triggerer_1 | ....................
airflow-triggerer_1 | ERROR! Maximum number of retries (20) reached.
airflow-triggerer_1 |
airflow-triggerer_1 | Last check result:
airflow-triggerer_1 | $ airflow db check
airflow-triggerer_1 | Unable to load the config, contains a configuration error.
airflow-triggerer_1 | Traceback (most recent call last):
airflow-triggerer_1 | File "/usr/local/lib/python3.7/pathlib.py", line 1273, in mkdir
airflow-triggerer_1 | self._accessor.mkdir(self, mode)
airflow-triggerer_1 | FileNotFoundError: [Errno 2] No such file or directory: '/opt/airflow/logs/scheduler/2021-11-16'
airflow-triggerer_1 |
airflow-triggerer_1 | During handling of the above exception, another exception occurred:
airflow-triggerer_1 |
airflow-triggerer_1 | Traceback (most recent call last):
airflow-triggerer_1 | File "/usr/local/lib/python3.7/logging/config.py", line 563, in configure
airflow-triggerer_1 | handler = self.configure_handler(handlers[name])
airflow-triggerer_1 | File "/usr/local/lib/python3.7/logging/config.py", line 736, in configure_handler
airflow-triggerer_1 | result = factory(**kwargs)
airflow-triggerer_1 | File "/home/airflow/.local/lib/python3.7/site-packages/airflow/utils/log/file_processor_handler.py", line 47, in __init__
airflow-triggerer_1 | Path(self._get_log_directory()).mkdir(parents=True, exist_ok=True)
airflow-triggerer_1 | File "/usr/local/lib/python3.7/pathlib.py", line 1277, in mkdir
airflow-triggerer_1 | self.parent.mkdir(parents=True, exist_ok=True)
airflow-triggerer_1 | File "/usr/local/lib/python3.7/pathlib.py", line 1273, in mkdir
airflow-triggerer_1 | self._accessor.mkdir(self, mode)
airflow-triggerer_1 | PermissionError: [Errno 13] Permission denied: '/opt/airflow/logs/scheduler'
airflow-triggerer_1 |
airflow-triggerer_1 | The above exception was the direct cause of the following exception:
airflow-triggerer_1 |
airflow-triggerer_1 | Traceback (most recent call last):
airflow-triggerer_1 | File "/home/airflow/.local/bin/airflow", line 5, in <module>
airflow-triggerer_1 | from airflow.__main__ import main
airflow-triggerer_1 | File "/home/airflow/.local/lib/python3.7/site-packages/airflow/__init__.py", line 46, in <module>
airflow-triggerer_1 | settings.initialize()
airflow-triggerer_1 | File "/home/airflow/.local/lib/python3.7/site-packages/airflow/settings.py", line 483, in initialize
airflow-triggerer_1 | LOGGING_CLASS_PATH = configure_logging()
airflow-triggerer_1 | File "/home/airflow/.local/lib/python3.7/site-packages/airflow/logging_config.py", line 74, in configure_logging
airflow-triggerer_1 | raise e
airflow-triggerer_1 | File "/home/airflow/.local/lib/python3.7/site-packages/airflow/logging_config.py", line 69, in configure_logging
airflow-triggerer_1 | dictConfig(logging_config)
airflow-triggerer_1 | File "/usr/local/lib/python3.7/logging/config.py", line 800, in dictConfig
airflow-triggerer_1 | dictConfigClass(config).configure()
airflow-triggerer_1 | File "/usr/local/lib/python3.7/logging/config.py", line 571, in configure
airflow-triggerer_1 | '%r' % name) from e
airflow-triggerer_1 | ValueError: Unable to configure handler 'processor'
airflow-triggerer_1 |
project_5_capstone_airflow-triggerer_1 exited with code 1