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More information here: https://blog.bitnami.com/2022/07/new-source-of-truth-bitnami-containers.html

Apache Airflow packaged by Bitnami

What is Apache Airflow?

Apache Airflow is a tool to express and execute workflows as directed acyclic graphs (DAGs). It includes utilities to schedule tasks, monitor task progress and handle task dependencies.

Overview of Apache Airflow

Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

TL;DR

Docker Compose

$ curl -LO https://raw.githubusercontent.com/bitnami/bitnami-docker-airflow/master/docker-compose.yml
$ docker-compose up

Warning: This quick setup is only intended for development environments. You are encouraged to change the insecure default credentials and check out the available configuration options in the Environment Variables section for a more secure deployment.

Why use Bitnami Images?

• Bitnami closely tracks upstream source changes and promptly publishes new versions of this image using our automated systems.
• With Bitnami images the latest bug fixes and features are available as soon as possible.
• Bitnami containers, virtual machines and cloud images use the same components and configuration approach - making it easy to switch between formats based on your project needs.
• All our images are based on minideb a minimalist Debian based container image which gives you a small base container image and the familiarity of a leading Linux distribution.
• All Bitnami images available in Docker Hub are signed with Docker Content Trust (DCT). You can use DOCKER_CONTENT_TRUST=1 to verify the integrity of the images.
• Bitnami container images are released on a regular basis with the latest distribution packages available.

Supported tags and respective Dockerfile links

Learn more about the Bitnami tagging policy and the difference between rolling tags and immutable tags in our documentation page.

• 2, 2-debian-11, 2.3.3, 2.3.3-debian-11-r7, latest (2/debian-11/Dockerfile)

Subscribe to project updates by watching the bitnami/airflow GitHub repo.

Prerequisites

To run this application you need Docker Engine >= 1.10.0. Docker Compose is recommended with a version 1.6.0 or later.

How to use this image

Airflow requires access to a PostgreSQL database to store information. We will use our very own PostgreSQL image for the database requirements. Additionally, if you pretend to use the CeleryExecutor, you will also need an Airflow Scheduler, one or more Airflow Workers and a Redis(R) server.

Using Docker Compose

The main folder of this repository contains a functional docker-compose.yml file. Run the application using it as shown below:

$ curl -sSL https://raw.githubusercontent.com/bitnami/bitnami-docker-airflow/master/docker-compose.yml > docker-compose.yml
$ docker-compose up -d

Using the Docker Command Line

If you want to run the application manually instead of using docker-compose, these are the basic steps you need to run:

1. Create a network

$ docker network create airflow-tier

2. Create a volume for PostgreSQL persistence and create a PostgreSQL container

$ docker volume create --name postgresql_data
$ docker run -d --name postgresql \
  -e POSTGRESQL_USERNAME=bn_airflow \
  -e POSTGRESQL_PASSWORD=bitnami1 \
  -e POSTGRESQL_DATABASE=bitnami_airflow \
  --net airflow-tier \
  --volume postgresql_data:/bitnami/postgresql \
  bitnami/postgresql:latest

3. Create a volume for Redis(R) persistence and create a Redis(R) container

$ docker volume create --name redis_data
$ docker run -d --name redis \
  -e ALLOW_EMPTY_PASSWORD=yes \
  --net airflow-tier \
  --volume redis_data:/bitnami \
  bitnami/redis:latest

4. Launch the Apache Airflow web container

$ docker run -d --name airflow -p 8080:8080 \
  -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
  -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
  -e AIRFLOW_EXECUTOR=CeleryExecutor \
  -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
  -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
  -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
  -e AIRFLOW_LOAD_EXAMPLES=yes \
  -e AIRFLOW_PASSWORD=bitnami123 \
  -e AIRFLOW_USERNAME=user \
  -e [email protected] \
  --net airflow-tier \
  bitnami/airflow:latest

5. Launch the Apache Airflow scheduler container

$ docker run -d --name airflow-scheduler \
  -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
  -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
  -e AIRFLOW_EXECUTOR=CeleryExecutor \
  -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
  -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
  -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
  -e AIRFLOW_LOAD_EXAMPLES=yes \
  -e AIRFLOW_WEBSERVER_HOST=airflow \
  --net airflow-tier \
  bitnami/airflow-scheduler:latest

6. Launch the Apache Airflow worker container

$ docker run -d --name airflow-worker \
  -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
  -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
  -e AIRFLOW_EXECUTOR=CeleryExecutor \
  -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
  -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
  -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
  -e AIRFLOW_WEBSERVER_HOST=airflow \
  --net airflow-tier \
  bitnami/airflow-worker:latest

Access your application at http://your-ip:8080

Persisting your application

The Bitnami Airflow container relies on the PostgreSQL database & Redis to persist the data. This means that Airflow does not persist anything. To avoid loss of data, you should mount volumes for persistence of PostgreSQL data and Redis(R) data

The above examples define docker volumes namely postgresql_data, and redis_data. The Airflow application state will persist as long as these volumes are not removed.

To avoid inadvertent removal of these volumes you can mount host directories as data volumes. Alternatively you can make use of volume plugins to host the volume data.

Mount host directories as data volumes with Docker Compose

The following docker-compose.yml template demonstrates the use of host directories as data volumes.

version: '2'
services:
  postgresql:
    image: 'bitnami/postgresql:latest'
    environment:
      - POSTGRESQL_DATABASE=bitnami_airflow
      - POSTGRESQL_USERNAME=bn_airflow
      - POSTGRESQL_PASSWORD=bitnami1
    volumes:
      - /path/to/postgresql-persistence:/bitnami/postgresql
  redis:
    image: 'bitnami/redis:latest'
    environment:
      - ALLOW_EMPTY_PASSWORD=yes
    volumes:
      - /path/to/redis-persistence:/bitnami
  airflow-worker:
    image: bitnami/airflow-worker:latest
    environment:
      - AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
      - AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08=
      - AIRFLOW_EXECUTOR=CeleryExecutor
      - AIRFLOW_DATABASE_NAME=bitnami_airflow
      - AIRFLOW_DATABASE_USERNAME=bn_airflow
      - AIRFLOW_DATABASE_PASSWORD=bitnami1
      - AIRFLOW_LOAD_EXAMPLES=yes
  airflow-scheduler:
    image: bitnami/airflow-scheduler:latest
    environment:
      - AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
      - AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08=
      - AIRFLOW_EXECUTOR=CeleryExecutor
      - AIRFLOW_DATABASE_NAME=bitnami_airflow
      - AIRFLOW_DATABASE_USERNAME=bn_airflow
      - AIRFLOW_DATABASE_PASSWORD=bitnami1
      - AIRFLOW_LOAD_EXAMPLES=yes
  airflow:
    image: bitnami/airflow:latest
    environment:
      - AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
      - AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08=
      - AIRFLOW_EXECUTOR=CeleryExecutor
      - AIRFLOW_DATABASE_NAME=bitnami_airflow
      - AIRFLOW_DATABASE_USERNAME=bn_airflow
      - AIRFLOW_DATABASE_PASSWORD=bitnami1
      - AIRFLOW_PASSWORD=bitnami123
      - AIRFLOW_USERNAME=user
      - [email protected]
    ports:
      - '8080:8080'

Mount host directories as data volumes using the Docker command line

1. Create a network (if it does not exist)

$ docker network create airflow-tier

2. Create the PostgreSQL container with host volumes

$ docker run -d --name postgresql \
  -e POSTGRESQL_USERNAME=bn_airflow \
  -e POSTGRESQL_PASSWORD=bitnami1 \
  -e POSTGRESQL_DATABASE=bitnami_airflow \
  --net airflow-tier \
  --volume /path/to/postgresql-persistence:/bitnami \
  bitnami/postgresql:latest

3. Create the Redis(R) container with host volumes

$ docker run -d --name redis \
  -e ALLOW_EMPTY_PASSWORD=yes \
  --net airflow-tier \
  --volume /path/to/redis-persistence:/bitnami \
  bitnami/redis:latest

4. Create the Airflow container

$ docker run -d --name airflow -p 8080:8080 \
  -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
  -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
  -e AIRFLOW_EXECUTOR=CeleryExecutor \
  -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
  -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
  -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
  -e AIRFLOW_LOAD_EXAMPLES=yes \
  -e AIRFLOW_PASSWORD=bitnami123 \
  -e AIRFLOW_USERNAME=user \
  -e [email protected] \
  --net airflow-tier \
  bitnami/airflow:latest

5. Create the Airflow Scheduler container

$ docker run -d --name airflow-scheduler \
  -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
  -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
  -e AIRFLOW_EXECUTOR=CeleryExecutor \
  -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
  -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
  -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
  -e AIRFLOW_LOAD_EXAMPLES=yes \
  -e AIRFLOW_WEBSERVER_HOST=airflow \
  --net airflow-tier \
  bitnami/airflow-scheduler:latest

6. Create the Airflow Worker container

$ docker run -d --name airflow-worker \
  -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
  -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
  -e AIRFLOW_EXECUTOR=CeleryExecutor \
  -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
  -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
  -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
  -e AIRFLOW_WEBSERVER_HOST=airflow \
  --net airflow-tier \
  bitnami/airflow-worker:latest

Configuration

Load DAG files

Custom DAG files can be mounted to /opt/bitnami/airflow/dags.

Installing additional python modules

This container supports the installation of additional python modules at start-up time. In order to do that, you can mount a requirements.txt file with your specific needs under the path /bitnami/python/requirements.txt.

Environment variables

The Airflow instance can be customized by specifying environment variables on the first run. The following environment values are provided to customize Airflow:

User configuration

• AIRFLOW_USERNAME: Airflow application username. Default: user
• AIRFLOW_PASSWORD: Airflow application password. Default: bitnami
• AIRFLOW_EMAIL: Airflow application email. Default: [email protected]

Airflow configuration

• AIRFLOW_EXECUTOR: Airflow executor. Default: SequentialExecutor
• AIRFLOW_FERNET_KEY: Airflow Fernet key. No defaults.
• AIRFLOW_SECRET_KEY: Airflow Secret key. No defaults.
• AIRFLOW_WEBSERVER_HOST: Airflow webserver host. Default: 127.0.0.1
• AIRFLOW_WEBSERVER_PORT_NUMBER: Airflow webserver port. Default: 8080
• AIRFLOW_LOAD_EXAMPLES: To load example tasks into the application. Default: yes
• AIRFLOW_BASE_URL: Airflow webserver base URL. No defaults.
• AIRFLOW_HOSTNAME_CALLABLE: Method to obtain the hostname. No defaults.
• AIRFLOW_POOL_NAME: Pool name. No defaults.
• AIRFLOW_POOL_SIZE: Pool size, required with AIRFLOW_POOL_NAME. No defaults.
• AIRFLOW_POOL_DESC: Pool description, required with AIRFLOW_POOL_NAME. No defaults.

Use an existing database

• AIRFLOW_DATABASE_HOST: Hostname for PostgreSQL server. Default: postgresql
• AIRFLOW_DATABASE_PORT_NUMBER: Port used by PostgreSQL server. Default: 5432
• AIRFLOW_DATABASE_NAME: Database name that Airflow will use to connect with the database. Default: bitnami_airflow
• AIRFLOW_DATABASE_USERNAME: Database user that Airflow will use to connect with the database. Default: bn_airflow
• AIRFLOW_DATABASE_PASSWORD: Database password that Airflow will use to connect with the database. No defaults.
• AIRFLOW_DATABASE_USE_SSL: Set to yes if the database is using SSL. Default: no
• AIRFLOW_REDIS_USE_SSL: Set to yes if Redis(R) uses SSL. Default: no
• REDIS_HOST: Hostname for Redis(R) server. Default: redis
• REDIS_PORT_NUMBER: Port used by Redis(R) server. Default: 6379
• REDIS_USER: User that Airflow will use to connect with Redis(R). No defaults.
• REDIS_PASSWORD: Password that Airflow will use to connect with Redis(R). No defaults.
• REDIS_DATABASE: Database number for Redis(R) server. Default: 1

Airflow LDAP authentication

• AIRFLOW_LDAP_ENABLE: Enable LDAP authentication. Default: no
• AIRFLOW_LDAP_URI: LDAP server URI. No defaults.
• AIRFLOW_LDAP_SEARCH: LDAP search base. No defaults.
• AIRFLOW_LDAP_UID_FIELD: LDAP field used for uid. No defaults.
• AIRFLOW_LDAP_BIND_USER: LDAP user name. No defaults.
• AIRFLOW_LDAP_BIND_PASSWORD: LDAP user password. No defaults.
• AIRFLOW_USER_REGISTRATION: User self registration. Default: True
• AIRFLOW_USER_REGISTRATION_ROLE: Role for the created user. No defaults.
• AIRFLOW_LDAP_ROLES_MAPPING: Mapping from LDAP DN to a list of Airflow roles. No defaults.
• AIRFLOW_LDAP_ROLES_SYNC_AT_LOGIN: Replace ALL the user's roles each login, or only on registration. Default: True
• AIRFLOW_LDAP_USE_TLS: Use LDAP SSL. Defaults: False.
• AIRFLOW_LDAP_ALLOW_SELF_SIGNED: Allow self signed certicates in LDAP ssl. Default: True
• AIRFLOW_LDAP_TLS_CA_CERTIFICATE: File that store the CA for LDAP ssl. No defaults.

In addition to the previous environment variables, all the parameters from the configuration file can be overwritten by using environment variables with this format: AIRFLOW__{SECTION}__{KEY}. Note the double underscores.

Specifying Environment variables using Docker Compose

version: '2'

services:
  airflow:
    image: bitnami/airflow:latest
    environment:
      - AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
      - AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08=
      - AIRFLOW_EXECUTOR=CeleryExecutor
      - AIRFLOW_DATABASE_NAME=bitnami_airflow
      - AIRFLOW_DATABASE_USERNAME=bn_airflow
      - AIRFLOW_DATABASE_PASSWORD=bitnami1
      - AIRFLOW_PASSWORD=bitnami123
      - AIRFLOW_USERNAME=user
      - [email protected]

Specifying Environment variables on the Docker command line

$ docker run -d --name airflow -p 8080:8080 \
    -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
    -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
    -e AIRFLOW_EXECUTOR=CeleryExecutor \
    -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
    -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
    -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
    -e AIRFLOW_PASSWORD=bitnami123 \
    -e AIRFLOW_USERNAME=user \
    -e [email protected] \
    bitnami/airflow:latest

SMTP Configuration

To configure Airflow to send email using SMTP you can set the following environment variables:

• AIRFLOW__SMTP__SMTP_HOST: Host for outgoing SMTP email. Default: localhost
• AIRFLOW__SMTP__SMTP_PORT: Port for outgoing SMTP email. Default: 25
• AIRFLOW__SMTP__SMTP_STARTTLS: To use TLS communication. Default: True
• AIRFLOW__SMTP__SMTP_SSL: To use SSL communication. Default: False
• AIRFLOW__SMTP__SMTP_USER: User of SMTP used for authentication (likely email). No defaults.
• AIRFLOW__SMTP__SMTP_PASSWORD: Password for SMTP. No defaults.
• AIRFLOW__SMTP__SMTP_MAIL_FROM: To modify the "from email address". Default: [email protected]

This would be an example of SMTP configuration using a GMail account:

• docker-compose (application part):

  airflow:
    image: bitnami/airflow:latest
    environment:
      - AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho=
      - AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08=
      - AIRFLOW_EXECUTOR=CeleryExecutor
      - AIRFLOW_DATABASE_NAME=bitnami_airflow
      - AIRFLOW_DATABASE_USERNAME=bn_airflow
      - AIRFLOW_DATABASE_PASSWORD=bitnami1
      - AIRFLOW_PASSWORD=bitnami
      - AIRFLOW_USERNAME=user
      - [email protected]
      - [email protected]
      - [email protected]
      - AIRFLOW__SMTP__SMTP_PASSWORD=your_password
      - AIRFLOW__SMTP__SMTP_PORT=587
    ports:
      - '8080:8080'

• For manual execution:

$ docker run -d --name airflow -p 8080:8080 \
    -e AIRFLOW_FERNET_KEY=46BKJoQYlPPOexq0OhDZnIlNepKFf87WFwLbfzqDDho= \
    -e AIRFLOW_SECRET_KEY=a25mQ1FHTUh3MnFRSk5KMEIyVVU2YmN0VGRyYTVXY08= \
    -e AIRFLOW_EXECUTOR=CeleryExecutor \
    -e AIRFLOW_DATABASE_NAME=bitnami_airflow \
    -e AIRFLOW_DATABASE_USERNAME=bn_airflow \
    -e AIRFLOW_DATABASE_PASSWORD=bitnami1 \
    -e AIRFLOW_PASSWORD=bitnami123 \
    -e AIRFLOW_USERNAME=user \
    -e [email protected] \
    -e [email protected] \
    -e [email protected] \
    -e AIRFLOW__SMTP__SMTP_PASSWORD=your_password \
    -e AIRFLOW__SMTP__SMTP_PORT=587 \
    bitnami/airflow:latest

Notable Changes

1.10.15-debian-10-r17 and 2.0.1-debian-10-r50

• The size of the container image has been decreased.
• The configuration logic is now based on Bash scripts in the rootfs/ folder.

Contributing

We'd love for you to contribute to this container. You can request new features by creating an issue, or submit a pull request with your contribution.

Issues

If you encountered a problem running this container, you can file an issue. For us to provide better support, be sure to include the following information in your issue:

• Host OS and version
• Docker version ($ docker version)
• Output of $ docker info
• Version of this container
• The command you used to run the container, and any relevant output you saw (masking any sensitive information)

License

Copyright © 2022 Bitnami

Licensed 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.