[Solved] Given this dbt model SQL code:SELECT user_id, SUM(amount) AS totalFROM salesWHERE sale_date > '2024-01-01'GROUP BY user_idWhat is the main reason this query helps reduce warehouse costs compared to... | dbt

dbt - Performance Optimization

Given this dbt model SQL code:

SELECT user_id, SUM(amount) AS total
FROM sales
WHERE sale_date > '2024-01-01'
GROUP BY user_id

What is the main reason this query helps reduce warehouse costs compared to selecting all sales data without filtering?

AIt runs the query multiple times to optimize

BIt increases the number of columns scanned

CIt stores the data permanently in the warehouse

DIt reduces the number of rows processed by filtering by date

Step-by-Step Solution

Solution:

Step 1: Analyze the WHERE clause effect
The WHERE clause filters sales after 2024-01-01, reducing rows processed.
Step 2: Understand impact on warehouse cost
Fewer rows scanned means less compute and storage cost during query execution.
Final Answer:
It reduces the number of rows processed by filtering by date -> Option D
Quick Check:
Filtering rows reduces cost [OK]

Quick Trick: Filter rows early to reduce data scanned [OK]

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