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Airflow etl how to#

For example, a Python function to read from S3 and push to a database is a task. Tasks are defined as “what to run?” and operators are “how to run”. Note: Don’t confuse operators with tasks. Here the energy_operator is an instance of PythonOperator that has been assigned a task_id, a python_callable function and some DAG to be a part of it. In fact a task is the instance of the operator,like: energy_operator = PythonOperator ( task_id = 'print_date', python_callable =myfunc ( ), dag =dag ) Operators refer to tasks that they execute. You can also come up with a custom operator as per your need. Sensor - waits for a certain time, file, database row, S3 key, etc….MySqlOperator, SqliteOperator, PostgresOperator, MsSqlOperator, OracleOperator, JdbcOperator, etc.SimpleHttpOperator - sends an HTTP request.PythonOperator - calls an arbitrary Python function.There are different types of operators available(As given on Airflow Website) : An operator defines an individual task that needs to be performed. Although each one can mention multiple tasks, it’s a good idea to keep one logical workflow in one file. DAGs are defined in Python files that are placed in Airflow’s DAG_FOLDER. A graph- it’s a very convenient way to view the process.

Directed means the tasks are executed in some order.Īcyclic- as you cannot create loops (i.e. Airflow concepts DagĪn Airflow workflow is designed as a directed acyclic graph (DAG). It is generally best suited for regular operations which can be scheduled to run at specific times.

ETL (extract, transform, load) jobs - extracting data from multiple sources, transforming for analysis and loading it into a data store.

Python Based: Every part of the configuration is written in Python, including configuration of schedules and the scripts to run them.Įxample of use cases suitable for Airflow:.

Web Interface: Airflow ships with a Flask app that tracks all the defined workflows, and allows you to easily start, stop, change workflows.

This is one of the main reasons why this project was adopted and managed by Apache foundation.

Open source: After initiating as an internal Airbnb project, Airflow had a very natural need in the community.

There are numerous resources on what Airflow does, but it’s much easier to understand with a working example.

Distributed Apache Airflow ArchitectureĪirflow is a workflow management platform that programmaticaly allows you to author, schedule, monitor and maintain workflows with an easy UI.

Airflow etl how to#

In this blog, I cover the main concepts behind Apache Airflow and illustrate a step-by-step tutorial with examples on how to make Airflow work better for you.