Difficulty: Easy
Correct Answer: All of the above.
Explanation:
Introduction / Context:
Modern SQL supports joining multiple tables within a single SELECT. From simple two-table joins to complex star schemas with many tables, understanding scalability of joins informs query design and performance expectations.
Given Data / Assumptions:
Concept / Approach:
There is no hard architectural limit of “two or three” tables; many joins can be chained. Even if a query references one table only, the concept of joining can be generalized (self-join or no join). In practice, databases routinely join several tables; the exact limit is system-dependent and often very high.
Step-by-Step Solution:
Verification / Alternative check:
Example queries: two-table join (A JOIN B), three-table join (A JOIN B JOIN C), and larger schemas (fact table joined to several dimensions).
Why Other Options Are Wrong:
Restricting to one, two, or three is artificially narrow; SQL supports more.
Common Pitfalls:
Complex queries can be slow without proper indexing and join predicates; always ensure selective conditions and appropriate keys.
Final Answer:
All of the above.
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