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December 30, 2025 · 1 min read

When designing an API that fetches user data based on filters, how would you ensure that the filtering process is efficient and explain the potential time complexities involved?

To ensure efficient filtering in an API, I would use indexed queries if interacting with a database, targeting specific columns for filtering. The time complexity for indexed lookups is generally…

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📅 Dec 30, 2025 ⏱ 1 min read

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When designing an API that fetches user data based on filters, how would you ensure that the filtering process is efficient and explain the potential time complexities involved?

COVER // WHEN DESIGNING AN API THAT FETCHES USER DATA BASED ON FILTERS, HOW WOULD YOU ENSURE THAT THE FILTERING PROCESS IS EFFICIENT AND EXPLAIN THE POTENTIAL TIME COMPLEXITIES INVOLVED?

To ensure efficient filtering in an API, I would use indexed queries if interacting with a database, targeting specific columns for filtering. The time complexity for indexed lookups is generally O(log n), while unindexed queries can be O(n), which is significantly slower.

api database indexing performance

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