Which join algorithm is typically best when both inputs are already sorted on the join key?

Problem Statement

Explanation

Merge join streams through two sorted inputs and matches rows in order. When both sides are sorted (or cheap to sort) it can be very fast and memory-friendly. Hash join excels with large, unsorted sets and equality predicates. Nested loops shine when the outer is small and the inner has an efficient seek.

Code Solution

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/* Engine chooses merge when indexes support order:
   JOIN ON t1.k = t2.k with both indexed by k */

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Query Optimization & Execution Plans

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Which join algorithm is typically best when both inputs are already sorted on the join key?

Problem Statement

Explanation

Code Solution

Practice Sets

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Which join algorithm is typically best when both inputs are already sorted on the join key?

Problem Statement

Explanation

Code Solution

Practice Sets

Related Questions

Which SQL statement retrieves all columns and rows from a table named employees?

Which clause filters rows before aggregation and affects which rows are grouped?

What is the default sort order when ORDER BY is used without ASC or DESC?

Which construct is commonly used to paginate results in SQL engines like Postgres and MySQL?

Which predicate correctly checks for missing values in standard SQL?

More from SQL & Databases

Master Interviews
Anywhere, Anytime