A CROSS JOIN is useful when every combination between two sets is required, such as creating possible product-location or date-category combinations.
Although CROSS JOINs can create large datasets, they are valuable when generating complete combinations is the actual business requirement.
Generate every combination of products and sales regions for a planning model.
SELECT
p.ProductID,
r.RegionID
FROM Products p
CROSS JOIN Regions r;
Used in forecasting, planning, scenario analysis, scheduling, testing, and matrix generation.
- CROSS JOIN is useful for combination generation.
- It can support planning models.
- It can generate missing combinations for analysis.
- Result size should always be estimated.
- Filters can be applied after generating combinations.
Give one useful CROSS JOIN example.
Generating every combination of products and regions for sales planning is a practical example.
What should you check before using CROSS JOIN?
Estimate the number of resulting rows and confirm that every combination is actually required.