dbt - Production Deployment
Why is it important to manage Airflow task retries and timeouts when orchestrating dbt runs?
Why is it important to manage Airflow task retries and timeouts when orchestrating dbt runs?
hard🧠 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand retries and timeouts in Airflow
Retries allow tasks to rerun on failure; timeouts stop long-running tasks.Step 2: Importance for dbt orchestration
Proper settings prevent infinite retries and resource waste during dbt failures.Final Answer:
To avoid infinite retries and control resource usage -> Option BQuick Check:
Retries/timeouts manage failures and resources [OK]
Quick Trick: Set retries and timeouts to control task behavior [OK]
Common Mistakes:
MISTAKES- Assuming dbt never fails
- Thinking retries speed up runs by skipping steps
- Believing Airflow ignores failures by default
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