dbt - Performance Optimization
Which of the following is the correct way to write a dbt model that selects only necessary columns to optimize cost?
Which of the following is the correct way to write a dbt model that selects only necessary columns to optimize cost?
easy📝 Syntax Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Identify selecting necessary columns
Choosing only needed columns reduces data scanned and processed.Step 2: Compare options for column selection
SELECT id, name FROM raw_data selects only 'id' and 'name', fewer columns than options selecting all columns or more columns.Final Answer:
SELECT id, name FROM raw_data -> Option BQuick Check:
Select only needed columns [OK]
Quick Trick: Select only needed columns, not * [OK]
Common Mistakes:
MISTAKES- Using SELECT * which scans all columns
- Selecting unnecessary columns increases cost
- Confusing COUNT(*) with column selection
Master "Performance Optimization" in dbt
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