Why this lesson matters
Understand multi-table join and reason about it with a concrete relational example. JOIN combines related rows by key. INNER JOIN keeps matches; LEFT JOIN preserves left-side rows even when the related record is absent; multi-table joins extend the same reasoning across relationships.
How to reason about it
- For Multi-table JOIN, the outcome to verify is: Run the statement against sample data and inspect the result before moving to the next case.
- In Multi-table JOIN, keep this failure controlled: Joining on non-key text fields or missing a join predicate can multiply rows and produce reports that look plausible but are wrong.
- Multi-table JOIN practice target: Join customers to orders with INNER and LEFT JOIN, compare row counts, then extend the query through order items to products.
Practical walkthrough
In the Multi-table JOIN walkthrough: Run the statement against sample data and inspect the result before moving to the next case.
example.sqlsql
SELECT c.name, o.id, p.name AS product
FROM customers c
JOIN orders o ON o.customer_id = c.id
JOIN order_items oi ON oi.order_id = o.id
JOIN products p ON p.id = oi.product_id;Practice it yourself
Multi-table JOIN exercise
Join customers to orders with INNER and LEFT JOIN, compare row counts, then extend the query through order items to products.
- Record the expected result before execution
- Test one valid path and one lesson-specific failure path
- Explain in two lines which boundary owns the decision
