- Introduction
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Welcome! 0 hr 1 min
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Why Trigger Rules? 0 hr 1 min
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Default behaviour 0 hr 1 min
- The 3 types of trigger rules
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The all rules 0 hr 1 min
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The one rules 0 hr 1 min
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Practice: Get notified
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The none rules 0 hr 1 min
- Common pitfalls
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The cascading effect 0 hr 1 min
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Practice: Apply trigger rules with Branching
- Finishing up...
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Quiz!
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Summary
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How was it?
Airflow: Trigger Rules
Learn how to effectively control the task execution flow using trigger rules.
Welcome! We're so glad you're here 😍
Want to modify the execution flow of your data pipelines? Well by default, Airflow will wait for all upstream tasks for a task to be successful before it runs that task.
However, this behaviour is configurable and you can control it using the trigger_rule argument to a Task.
Trigger rules opens for you a ton of possibilities to modify the way your tasks are executed.
Let's learn what trigger rules to use in which use case.
🎯Objectives
At the end of this course, you'll be able to:
- Define trigger rules and which one to use accordingly
- Modify the execution path of a DAG
- Avoid the common pitfalls with Branching and DAGRuns
👥 Audience
Who should take this course:
- Data Engineers
- Data Analysts
- Software Engineers
Set aside 9 minutes to complete the course.
💻 Setup Requirements
You need to have the following:
- Docker and Docker compose on your computer (cf: get Docker)
- The Astro CLI
- Access to a web browser