Evolve Duplicate Detection for Sliding Windows and Read-Heavy Queries

Last updated: September 3, 2026

Quick Overview

The question asks the candidate to design a system for detecting duplicates in a sliding window, focusing on optimizing for read-heavy queries while ensuring efficient updates.

Google
Software Engineering Fundamentals
Software Engineer
Google
September 3, 2026
Software Engineer
Technical Screen
Software Engineering Fundamentals
Medium

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28 solved


The question asks the candidate to design a system for detecting duplicates in a sliding window, focusing on optimizing for read-heavy queries while ensuring efficient updates.

This question is often posed during the technical screen round at Google to evaluate a candidate's ability to design scalable systems. Interviewers are looking for a clear understanding of data structures, algorithm efficiency, and optimization techniques, particularly in scenarios where read operations significantly outnumber write operations. Candidates are expected to demonstrate their problem-solving skills and ability to think critically about trade-offs in system design.

What the Interviewer Expects
  • Explain the requirements for duplicate detection in a sliding window context.
  • Discuss the choice of data structures that allow for efficient querying and updating.
  • Provide a high-level design of the solution, including how to handle read-heavy scenarios.
  • Address potential trade-offs and scaling considerations.
  • Illustrate the solution with examples or pseudocode.
Key Topics to Cover
Sliding Window
Duplicate Detection
Data Structures
Read-Heavy Optimization
Algorithm Efficiency
How to Approach This
  1. Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
  2. Choose data structures based on access patterns, not familiarity.
  3. Prefer immutable data and message passing over shared mutable state for concurrency.
  4. Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
  • How would you handle edge cases in your design?
  • What changes would you make if the window size were to change dynamically?
  • Can you explain how your solution would scale with an increasing number of queries?
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Practice System Design Problems
Sample Answer
Requirements

To design a duplicate detection system for a sliding window, we need to keep track of elements within a specific range while allowing for efficient querying and updating. The system should support con...

High-Level Design

A suitable approach is to use a combination of a hash set and a queue. The hash set will allow for O(1) average time complexity for checking duplicates, while the queue will maintain the order of elem...


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