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Implement a key-value CRUD store
Implement an In-Memory Key-Value Store
Design and implement an in-memory key-value store that supports the following fundamental CRUD (Create, Read, Update, Delete) operations:
put(key, value): Inserts a new key-value pair or overwrites an existing one.get(key): Retrieves the value associated with a given key.update(key, value): Modifies the value for an existing key.delete(key): Removes a key-value pair from the store.exists(key): Checks if a key is present in the store.
Your solution should include:
- Data Structure Choice: Select and justify an appropriate underlying data structure (e.g., a B-tree or another ordered index) for storing the key-value pairs.
- Complexity Analysis: Analyze the time and space complexity for each of the exposed API operations.
- Edge Case Discussion: Address potential edge cases, such as attempting to
getordeletea non-existent key, or the behavior ofputwhen a key already exists versusupdate.
AI interview prep
Core dilemma
Selecting and justifying an optimal in-memory data structure that balances CRUD operation efficiency with potential future requirements for ordered key access, while managing memory footprint.
Mid-level signals3
Senior signals3
Red flags3
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Implement a key-value CRUD store
Implement an In-Memory Key-Value Store
Design and implement an in-memory key-value store that supports the following fundamental CRUD (Create, Read, Update, Delete) operations:
put(key, value): Inserts a new key-value pair or overwrites an existing one.get(key): Retrieves the value associated with a given key.update(key, value): Modifies the value for an existing key.delete(key): Removes a key-value pair from the store.exists(key): Checks if a key is present in the store.
Your solution should include:
- Data Structure Choice: Select and justify an appropriate underlying data structure (e.g., a B-tree or another ordered index) for storing the key-value pairs.
- Complexity Analysis: Analyze the time and space complexity for each of the exposed API operations.
- Edge Case Discussion: Address potential edge cases, such as attempting to
getordeletea non-existent key, or the behavior ofputwhen a key already exists versusupdate.