Apache Airflow allows the usage of Jinja templating when defining tasks, where it makes available multiple helpful variables and macros to aid in date manipulation.Ī simple task that executes a run.sh bash script with the execution date as a parameter might look like the following: task = BashOperator ( task_id = 'bash_script', bash_command = './run.sh '. Before we get into coding, we need to set up a MySQL connection. GitHub Notifications Fork Code Actions Projects ExternalTaskMarker with userdefinedmacros do not work in Airflow 2.0 or with storeserializeddags True in Airflow 1.10. Airflow Hooks let you interact with external systems: Email, S3, Databases, and various others. Argo is, for instance, built around two concepts. Each node is a task, which typically ingests input from a database or files. In addition to that Airflow provides strong templating capabilities through Jinja2 and Airflow macros. A list of all Templates and Macros can be found in Official Documentation. To use MySQL with Airflow, we will be using Hooks provided by Airflow. The structure of Airflow a workflow or pipeline is a Directed Acyclic Graph (DAG). A very common pattern when developing ETL workflows in any technology is to parameterize tasks with the execution date, so that tasks can, for example, work on the right data partition. As the Airflow Scheduler constantly compiles DAGs into the internal Airflows.
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