Hi @NancyX,
Apologies for the delayed follow-up. Closing the loop here with the current state. Yes, pipeline tasks do support parameters, and you can use dynamic value references such as {{job.run_id}} when configuring a pipeline taskโs Parameters field. The relevant docs are Pipeline task for jobs, Access parameter values from a task, and What is a dynamic value reference?. The docs also note that pipeline task parameters are in Beta, so if you do not see the Parameters section for a Pipeline task in the UI, that is usually because the feature is gated by preview availability in the workspace.
If you want to pass the workflow run ID to the pipeline, set a pipeline task parameter like run_id = {{job.run_id}}. Inside the pipeline, those values can then be referenced as pipeline parameters; for SQL pipelines, the documented approach is named parameters, while for Python pipeline code, the docs recommend continuing to use the pipeline configuration field for runtime values.
If this answer resolves your question, could you mark it as โAccept as Solutionโ? That helps other users quickly find the correct fix.
Regards,
Ashwin | Delivery Solution Architect @ Databricks
Helping you build and scale the Data Intelligence Platform.
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