For example, using a different target blob storage depending on how many files will be ingested, a count determined and pushed to XCom by an upstream task. Injecting dynamic arguments into DAG code based on XCom values.For example, passing a different argument to a function on weekdays versus the weekend. Injecting dynamic arguments into DAG code based on Python logic.For example, converting the predefined macro, which provides the logical date of the DAG as a timestamp from YYYY-MM-DDThh:mm:ss+00:00 to hh:mm. Injecting dynamic datetime objects into DAG code in formats not available in pre-defined macros.If you want to make macros available to your whole Airflow instance you can register them as a plugin.Ĭommon use cases for custom macros include: Macros can be added at the DAG level by defining them in the DAG parameter user_defined_macros as shown in Using Airflow templates. In Airflow you can define custom macros which can be accessed using Jinja templating. You can access the button on task instances in both the Graph and Grid views. # add the blueprint and appbuilder_views components # define the path to my_view in the Airflow UI render_template ( "test.html", content = "awesome" ) # render the HTML file from the templates directory with content # register airflow/plugins/templates as a Jinja template folderĬlass MyBaseView ( AppBuilderBaseView ) : plugins_manager import AirflowPluginįrom flask_appbuilder import expose, BaseView as AppBuilderBaseView Learn more in the official Airflow documentation.įrom airflow. listeners are an experimental feature to add notifications for events happening in Airflow.executors add the possibility to use a custom executor in your Airflow instance.See the DAG scheduling and timetables in Airflow guide for more information and a code example. timetables offer the option to register custom timetables that define schedules which cannot be expressed in CRON. Other types of plugin components not covered in this guide include: macros expand upon existing Jinja templates using custom functions.operator_extra_links and global_operator_extra_links are ways to add links to Airflow task instances.flask_blueprints and appbuilder_views offer the possibility to build a Flask project on top of Airflow.appbuilder_menu_items allow you to add additional sections and links to the Airflow menu.In this guide we will show the more commonly used components, including: There are 10 types of plugin components that can be added to Airflow. Plugin components įunctionality is added to a plugin by adding components to the class which defines the plugin. Learn more in the official Airflow documentation on plugins. the webserver or scheduler) that use the plugin. In order for changes to your plugin to be registered, you will need to restart any Airflow components (e.g. The code snippet below defines a plugin with the name empty without any components. As a part of Airflow 2. We already have a lot of changes in the operators, transfers, hooks, sensors, secrets for many external systems, but they are not used nor tested widely because they are part of the master/2.0 release. Within that file, create a class which inherits from the AirflowPlugin to define the plugin. Context: Airflow 2.0 operators, hooks, and secrets¶. To add a new plugin to your Airflow instance, you need to create a Python file in the plugins folder of your Airflow project.
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