1. SELECT & FROM Base Table
2. Relational JOIN & Match Key
customer_id = customer_id
3. Aggregation & Hygiene Guards
Generated Equivalent SQLDialect: ANSI SQL
SELECT customers.name, SUM(orders.amount) FROM customers LEFT JOIN orders ON customers.customer_id = orders.customer_id GROUP BY customers.name;
Cartesian Row Inflation Detected!
Because `customer_id=1` is duplicated in customers table, each order for Alice is duplicated 2x in the JOIN! Enable deduplication to resolve.
LEFT JOIN preserves Devendra Rao (unmatched prospect with ₹0 spend) in results.
Query Result Output (4 rows)
| customers.name | total_amount |
|---|---|
| Alice Sharma | 13400 |
| Bhavin Patel | NaN (Corrupted by NULL) |
| Chitra Nair | 4600 |
| Devendra Rao | 0 |
Join Mode: LEFT JOIN•Deduplicated: NO•Unmatched Preserved: YES
1. Validity
Inputs Supported
All configuration parameters are valid.
2. Correctness
Objective: Demonstrated
Ready for verification run
3. Constraints
Within Limits
Budget, SLA, and capacity limits respected.
4. Trade-offs
Analysis
Inspect scenario parameters to evaluate trade-offs.