Implement Hash Map with streaming input
Last updated: October 31, 2025
Quick Overview
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)` and `get(key)` in average O(1) time complexity. Ensure that the implementation can handle collisions appropriately and maintain performance with a dynamic input size.
Notion
October 31, 2025426
15
4,795 solved
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)` and `get(key)` in average O(1) time complexity. Ensure that the implementation can handle collisions appropriately and maintain performance with a dynamic input size.
Coding interviews at Notion focus on problem-solving approach as much as the final solution. The interviewer wants to see you break down the problem, consider edge cases, and optimize iteratively. Communication throughout the process is key.
What the Interviewer Expects
- Recognize the underlying problem pattern (sliding window, two pointers, BFS/DFS, etc.)
- Discuss multiple approaches and trade-offs before coding
- Implement an optimal solution with clean, production-quality code
- Handle all edge cases including boundary conditions and invalid input
- Optimize both time and space complexity with clear justification
- Test your solution systematically with well-chosen examples
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 parallelize this solution?
- How would you test this solution thoroughly?
- What happens if the input contains duplicates?
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Problem Analysis
The problem requires implementing a hash map that can handle streaming input efficiently. This aligns with the characteristics of a hash table data structure, which allows for average O(1) time comple...
Approach
- Initialize a hash map with a predefined size (e.g., 1000 buckets). Each bucket will hold a list or linked list of key-value pairs to handle collisions.
- **Define the
put(key, value)metho...
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