Check strings against dictionary efficiently
Problem Description
You are given a large dictionary containing up to 1,000,000 unique words and a separate list of up to 100,000 query strings. For each query string, you must determine if it exists within the provided dictionary.
The primary optimization goals are:
- Efficient processing for a high volume of queries.
- Minimal memory overhead for storing the dictionary.
Your solution should include:
- A detailed description of the chosen data structure(s).
- An analysis of the expected time and space complexity for both dictionary construction and query lookups.
- A strategy for handling real-world string complexities, specifically:
- Case sensitivity
- Unicode normalization
- Duplicate queries within the query list
AI interview prep
Core dilemma
Balancing rapid string lookup performance for a large number of queries against strict memory constraints for a massive dictionary, while correctly handling real-world string complexities like case sensitivity and Unicode normalization.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Check strings against dictionary efficiently
Problem Description
You are given a large dictionary containing up to 1,000,000 unique words and a separate list of up to 100,000 query strings. For each query string, you must determine if it exists within the provided dictionary.
The primary optimization goals are:
- Efficient processing for a high volume of queries.
- Minimal memory overhead for storing the dictionary.
Your solution should include:
- A detailed description of the chosen data structure(s).
- An analysis of the expected time and space complexity for both dictionary construction and query lookups.
- A strategy for handling real-world string complexities, specifically:
- Case sensitivity
- Unicode normalization
- Duplicate queries within the query list