Implement Hash Map with streaming input
Last updated: March 5, 2026
Quick Overview
Design and implement a Hash Map that can handle streaming input, allowing for efficient insertion and retrieval of key-value pairs. The Hash Map should support operations such as `put(key, value)`, `get(key)`, and `remove(key)`, ensuring average time complexity of O(1) for each operation. Your implementation should handle collisions and provide a way to manage memory effectively as new data streams in.
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Design and implement a Hash Map that can handle streaming input, allowing for efficient insertion and retrieval of key-value pairs. The Hash Map should support operations such as `put(key, value)`, `get(key)`, and `remove(key)`, ensuring average time complexity of O(1) for each operation. Your implementation should handle collisions and provide a way to manage memory effectively as new data streams in.
LinkedIn uses this problem in the Technical Screen to evaluate your algorithmic thinking. They expect you to discuss multiple approaches, analyze trade-offs between them, and implement the optimal solution with clean, readable code.
What the Interviewer Expects
- Quickly identify the optimal approach and its theoretical basis
- Handle complex algorithm design with multiple interacting components
- Write concise, elegant code under time pressure
- Prove correctness of your approach and discuss alternative solutions
- Optimize beyond the obvious: discuss constant factor improvements
- Address follow-up variations and explain how the solution generalizes
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- Can you solve this in a single pass?
- How would you test this solution thoroughly?
- Can you solve this iteratively instead of recursively (or vice versa)?
- What is the worst-case input for your solution?
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Problem Analysis
To implement a Hash Map that can efficiently handle streaming input, the primary requirement is to ensure average time complexity of O(1) for insertion, retrieval, and removal operations. This can be ...
Approach
- Initialization: Create a class
HashMapwith an internal array (buckets) to hold linked lists, and a variable to track the size of the map. - Hash Function: Implement a hash function th...
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