Difficulty: Easy
Correct Answer: Correct
Explanation:
Introduction / Context:
SQL joins are the fundamental mechanism to combine rows from two or more relations based on matching predicates. Designers sometimes confuse joins with hierarchical traversal or nested structures. This question clarifies that joins are broadly applicable regardless of whether relationships are nested or form more general graphs.
Given Data / Assumptions:
Concept / Approach:
Joins operate on relational algebra principles and are not limited to nested or hierarchical schemas. Whether the relationships form a tree, a set of chains, or a more complex network, joins express the row-matching logic between tables via equality or other predicates. Non-nested relationships are routinely combined using join conditions in the WHERE clause or USING/ON clauses with ANSI JOIN syntax. Therefore, the statement that joins are useful even when relationships are not nested is correct.
Step-by-Step Solution:
Verification / Alternative check:
Compare results using nested subqueries versus explicit joins; both can retrieve multi-table results, but explicit joins are clearer and optimized by the DBMS for various relationship patterns, not just trees.
Why Other Options Are Wrong:
Common Pitfalls:
Forgetting a join predicate (creating a Cartesian product) or misusing outer joins leading to unintended row duplication.
Final Answer:
Correct
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