dbt - Performance Optimization
Why does dbt run models with no dependencies in parallel but serialize models with dependencies?
Why does dbt run models with no dependencies in parallel but serialize models with dependencies?
hard🧠 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand dependency impact on execution
Models with dependencies must wait for their parents to finish to ensure data is correct.Step 2: Reason about parallelism and correctness
Running dependent models in parallel before parents finish risks using incomplete data, so dbt serializes them.Final Answer:
To maintain data correctness by respecting dependency order -> Option AQuick Check:
Dependency order ensures correct data [OK]
Quick Trick: Dependencies enforce correct run order [OK]
Common Mistakes:
MISTAKES- Assuming dependent models are slower by default
- Thinking dbt limits compilation count
- Believing dbt cannot parallelize dependent models at all
Master "Performance Optimization" in dbt
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