diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..8236ad1 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,53 @@ +# 이미지 생성시 사용할 이미지 +FROM apache/airflow:2.4.2-python3.8 + +# 이미지 빌드, 컨테이너 실행 모두 사용가능한 환경변수 +ENV AIRFLOW__KUBERNETES__FS_GROUP=50000 +ENV AIRFLOW__KUBERNETES__RUN_AS_USER=50000 + +# 이미지 빌드(RUN)까지 사용가능한 변수 +ARG DEST_INSTALL=/home/airflow + +# (root) apt 패키지 추가 +USER root +RUN apt-get update && \ + apt-get install -y --no-install-recommends \ + build-essential \ + && apt-get autoremove -yqq --purge \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* + +# (airflow) 새로운 PyPI 패키지 추가 +USER airflow +WORKDIR ${DEST_INSTALL} + +ENV PATH=${PATH}:/home/airflow/.local/bin + +ARG UPDATE_PIP_VERSION_TO="22.3.1" +RUN curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && \ + python get-pip.py --user pip==${UPDATE_PIP_VERSION_TO} && \ + pip install pipenv + +ENV PYTHONPATH="${AIRFLOW_HOME}:${PYTHONPATH}" + +COPY Pipfile* ${DEST_INSTALL}/ +RUN pipenv install --system --ignore-pipfile --deploy + +# (root) airflow db 초기화 및 webserver 실행 +USER root + +### update entrypoint: add "airflow initdb" command +### before running the webserver +COPY ./entrypoint_* / +RUN sed -i "s/exec airflow.*/###/g" /entrypoint && \ + cat /entrypoint_update_exec >> /entrypoint + +ENV AIRFLOW__KUBERNETES__KUBE_CLIENT_REQUEST_ARGS="" + +COPY ./dags/ ${AIRFLOW_HOME}/dags/ + +# Make sure Airflow is owned by airflow user +RUN chown -R "airflow" "${AIRFLOW_HOME}" + +USER airflow +WORKDIR ${AIRFLOW_HOME} \ No newline at end of file diff --git a/Pipfile b/Pipfile new file mode 100644 index 0000000..28a023a --- /dev/null +++ b/Pipfile @@ -0,0 +1,108 @@ +[[source]] +url = "https://pypi.org/simple" +verify_ssl = true +name = "pypi" + +[packages] +alembic = "==1.8.1" +anyio = "==3.6.2" +apispec = "==3.3.2" +argcomplete = "==2.0.0" +attrs = "==22.1.0" +babel = "==2.11.0" +blinker = "==1.5" +cachelib = "==0.9.0" +cattrs = "==22.2.0" +certifi = "==2022.9.24" +cffi = "==1.15.1" 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requirements.txt 생성 [참고 - dependencies of airflow](https://airflow.apache.org/docs/apache-airflow/stable/extra-packages-ref.html) + - Pipfile 생성 `pipenv --python 3.8 install -r requirements.txt ` +- `docker-compose.yaml` 작성 + - entrypoint 스크립트 작성 (airflow db 초기화) + - Dokerfile 작성 (Pipy 패키지, entrypoint 실행) +- 실행 + - `docker-compose up` + +--- diff --git a/docker-compose.yaml b/docker-compose.yaml new file mode 100644 index 0000000..c200bc9 --- /dev/null +++ b/docker-compose.yaml @@ -0,0 +1,281 @@ +# 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:2.4.2 +# 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:2.4.2} +# build: `. + environment: + &airflow-common-env + AIRFLOW__CORE__EXECUTOR: CeleryExecutor + AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres/airflow + # For backward compatibility, with Airflow <2.3 + 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' + # FutureWarning: The auth_backends setting in [api] has had airflow.api.auth.backend.session added in the running config, which is needed by the UI. + # Please update your config before Apache Airflow 3.0. + AIRFLOW__API__AUTH_BACKENDS: "airflow.api.auth.backend.basic_auth,airflow.api.auth.backend.session" + _PIP_ADDITIONAL_REQUIREMENTS: ${_PIP_ADDITIONAL_REQUIREMENTS:-} + volumes: + - ./dags:/opt/airflow/dags + - ./data:/var/lib/airflow/data + - ./logs:/opt/airflow/logs + - ./plugins:/opt/airflow/plugins + user: "${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=$$(AIRFLOW__LOGGING__LOGGING_LEVEL=INFO && gosu airflow airflow version) + airflow_version_comparable=$$(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: $${min_airflow_version}. Only use this or higher!" + echo + exit 1 + fi + if [[ -z "${AIRFLOW_UID}" ]]; then + echo + echo -e "\033[1;33mWARNING!!!: AIRFLOW_UID not set!\e[0m" + echo "If you are on Linux, you SHOULD follow the instructions below to set " + echo "AIRFLOW_UID environment variable, otherwise files will be owned by root." + echo "For other operating systems you can get rid of the warning with manually created .env file:" + echo " See: https://airflow.apache.org/docs/apache-airflow/stable/howto/docker-compose/index.html#setting-the-right-airflow-user" + echo + fi + one_meg=1048576 + mem_available=$$(($$(getconf _PHYS_PAGES) * $$(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/howto/docker-compose/index.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} + _PIP_ADDITIONAL_REQUIREMENTS: '' + 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 + + # You can enable flower by adding "--profile flower" option e.g. docker-compose --profile flower up + # or by explicitly targeted on the command line e.g. docker-compose up flower. + # See: https://docs.docker.com/compose/profiles/ + flower: + <<: *airflow-common + command: celery flower + profiles: + - 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: diff --git a/entrypoint_update_exec b/entrypoint_update_exec new file mode 100644 index 0000000..f5cf82f --- /dev/null +++ b/entrypoint_update_exec @@ -0,0 +1,18 @@ +case "$1" in + webserver) + airflow db init && + exec airflow webserver + ;; + scheduler) + # Give the webserver time to run initdb. + sleep 10 + exec airflow "$@" + ;; + version) + exec airflow "$@" + ;; + *) + # The command is something like bash, not an airflow subcommand. Just run it in the right environment. + exec "$@" + ;; +esac diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..ea967eb --- /dev/null +++ b/requirements.txt @@ -0,0 +1,114 @@ +alembic==1.8.1 +anyio==3.6.2 +# apache-airflow==2.4.2 +# apache-airflow-providers-common-sql==1.2.0 +# apache-airflow-providers-ftp==3.1.0 +# apache-airflow-providers-http==4.0.0 +# apache-airflow-providers-imap==3.0.0 +# apache-airflow-providers-sqlite==3.2.1 +apispec==3.3.2 +argcomplete==2.0.0 +attrs==22.1.0 +Babel==2.11.0 +blinker==1.5 +cachelib==0.9.0 +cattrs==22.2.0 +certifi==2022.9.24 +cffi==1.15.1 +charset-normalizer==2.1.1 +click==8.1.3 +clickclick==20.10.2 +colorama==0.4.6 +colorlog==4.8.0 +commonmark==0.9.1 +ConfigUpdater==3.1.1 +connexion==2.14.1 +cron-descriptor==1.2.31 +croniter==1.3.7 +cryptography==38.0.3 +Deprecated==1.2.13 +dill==0.3.6 +dnspython==2.2.1 +docutils==0.19 +email-validator==1.3.0 +exceptiongroup==1.0.1 +# Flask==2.2.2 +# Flask-AppBuilder==4.1.4 +# Flask-Babel==2.0.0 +# Flask-Caching==2.0.1 +# Flask-JWT-Extended==4.4.4 +# Flask-Login==0.6.2 +# Flask-Session==0.4.0 +# Flask-SQLAlchemy==2.5.1 +# Flask-WTF==1.0.1 +graphviz==0.20.1 +gunicorn==20.1.0 +h11==0.12.0 +httpcore==0.15.0 +httpx==0.23.0 +idna==3.4 +importlib-metadata==5.0.0 +importlib-resources==5.10.0 +inflection==0.5.1 +itsdangerous==2.1.2 +Jinja2==3.1.2 +jsonschema==4.17.0 +lazy-object-proxy==1.8.0 +linkify-it-py==2.0.0 +lockfile==0.12.2 +Mako==1.2.3 +Markdown==3.4.1 +markdown-it-py==2.1.0 +MarkupSafe==2.1.1 +marshmallow==3.18.0 +marshmallow-enum==1.5.1 +marshmallow-oneofschema==3.0.1 +marshmallow-sqlalchemy==0.26.1 +mdit-py-plugins==0.3.1 +mdurl==0.1.2 +packaging==21.3 +pathspec==0.9.0 +pendulum==2.1.2 +pkgutil_resolve_name==1.3.10 +pluggy==1.0.0 +prison==0.2.1 +psutil==5.9.4 +pycparser==2.21 +Pygments==2.13.0 +PyJWT==2.6.0 +pyparsing==3.0.9 +pyrsistent==0.19.2 +python-daemon==2.3.2 +python-dateutil==2.8.2 +python-nvd3==0.15.0 +python-slugify==6.1.2 +pytz==2022.6 +pytzdata==2020.1 +PyYAML==6.0 +requests==2.28.1 +requests-toolbelt==0.10.1 +rfc3986==1.5.0 +rich==12.6.0 +setproctitle==1.3.2 +six==1.16.0 +sniffio==1.3.0 +SQLAlchemy==1.4.43 +SQLAlchemy-JSONField==1.0.0 +SQLAlchemy-Utils==0.38.3 +sqlparse==0.4.3 +swagger-ui-bundle==0.0.9 +tabulate==0.9.0 +tenacity==8.1.0 +termcolor==2.1.0 +text-unidecode==1.3 +typing_extensions==4.4.0 +uc-micro-py==1.0.1 +unicodecsv==0.14.1 +urllib3==1.26.12 +Werkzeug==2.2.2 +wrapt==1.14.1 +WTForms==3.0.1 +zipp==3.10.0 +# FIXME azure-servicebus 의존성 수전 +# ModuleNotFoundError: No module named 'azure.servicebus' +azure-servicebus==7.8.1 \ No newline at end of file