airflow from apache

The airflow orchestrator allows for workflows to be programmatically authored, scheduled, and monitored.

Getting Started


If you haven't already, follow the initial steps of the Getting Started guide:

  1. Install Meltano
  2. Create your Meltano project

Installation and configuration

  1. Add the airflow orchestrator to your project using
    meltano add
  2. meltano add orchestrator airflow
  3. Configure the airflow settings using
    meltano config
  4. meltano config airflow set --interactive

Next steps

The version of Airflow currently installed with Meltano (2.1.2) requires that Python be at version 3.9 or lower. Upgrading the Airflow version is tracked in this issue.

  1. Use the meltano schedule command to create pipeline schedules in your project, to be run by Airflow.

  2. If you're running Airflow for the first time in a new environment, create an admin user:

    meltano invoke airflow:create-admin
    # This is equivalent to `airflow users create` with some arguments in the Airflow documentation
  3. Launch the Airflow UI and log in using the username/password you created:

    meltano invoke airflow:ui

    By default, the UI will be available at at http://localhost:8080. You can change this using the webserver.web_server_port setting documented below.

  4. Start Scheduler or execute Airflow commands directly using the instructions in the Meltano docs.

If you run into any issues, learn how to get help.


This plugin currently has no capabilities defined. If you know the capabilities required by this plugin, please contribute!


Meltano centralizes the configuration of all of the plugins in your project, including Airflow's. This means that if the Airflow documentation tells you to put something in airflow.cfg, you can use meltano config, meltano.yml, or environment variables instead, and get the benefits of Meltano features like environments.

Any setting you can add to airflow.cfg can be added to meltano.yml, manually or using meltano config. For example, [core] executor = SequentialExecutor becomes meltano config airflow set core executor SequentialExecutor on the CLI, or core.executor: SequentialExecutor in meltano.yml. Config sections indicated by [section] in airflow.cfg become nested dictionaries in meltano.yml.

The airflow settings that are known to Meltano are documented below. To quickly find the setting you're looking for, click on any setting name from the list:

You can override these settings or specify additional ones in your meltano.yml by adding the settings key.

Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.

DAGs Folder (core.dags_folder)

  • Environment variable: AIRFLOW_CORE_DAGS_FOLDER
  • Default Value: $MELTANO_PROJECT_ROOT/orchestrate/dags
[No description provided.]

Plugins Folder (core.plugins_folder)

  • Environment variable: AIRFLOW_CORE_PLUGINS_FOLDER
  • Default Value: $MELTANO_PROJECT_ROOT/orchestrate/plugins
[No description provided.]

SQL Alchemy Connection (core.sql_alchemy_conn)

  • Environment variable: AIRFLOW_CORE_SQL_ALCHEMY_CONN
  • Default Value: sqlite:///$MELTANO_PROJECT_ROOT/.meltano/orchestrators/airflow/airflow.db
[No description provided.]

Load Examples (core.load_examples)

  • Environment variable: AIRFLOW_CORE_LOAD_EXAMPLES
  • Default Value: false
[No description provided.]

Pause DAGs at Creation (core.dags_are_paused_at_creation)

  • Default Value: false
[No description provided.]

Webserver Port (webserver.web_server_port)

  • Default Value: 8080
[No description provided.]


The airflow orchestrator supports the following commands that can be used with
meltano invoke


  • Equivalent to: users create --username admin --firstname FIRST_NAME --lastname LAST_NAME --role Admin --email

Create an admin user.

meltano invoke airflow:create-admin [args...]


  • Equivalent to: webserver

Start the Airflow webserver.

meltano invoke airflow:ui [args...]

Something missing?

This page is generated from a YAML file that you can contribute changes to.

Edit it on GitHub!

Looking for help?

If you're having trouble getting the airflow orchestrator to work, look for an existing issue in its repository, file a new issue, or join the Meltano Slack community and ask for help in the


meltano add orchestrator airflow

Maintenance Status

  • Maintenance Status
  • Stars
  • Forks
  • Open Issues
  • Open PRs
  • Contributors
  • License


  • Apache Software Foundation

Meltano Stats

  • Projects (Last 3 Months)