Pipelines¶
The Pipelines tile in Registry lists Python pipelines authored with the @dr.task and @dr.pipeline decorators. For what a pipeline is, the building blocks, and the path from adding a pipeline to running it, see Pipelines overview.
The following table describes the components of working with Pipelines.
| Topic | Description |
|---|---|
| Pipelines overview | What a pipeline is, core concepts, and the path from add to run. |
| Pipeline tutorial | Build a pipeline using included scripts to learn the tools of the Pipelines interface. |
| Add a pipeline | Create a pipeline by providing Python logic, inputs, and a container image. |
| View and manage pipelines | Open a pipeline to inspect the workflow DAG, configuration, and run history. |
| Run and schedule pipelines | Run a pipeline, lock it, and configure a recurring schedule. |
| Manage pipeline images | Create, rebuild, and delete reusable pipeline images. |