15% off all plans & roadmaps Use code
See plans
Preparing this workspace.
LeetCode 1348 · Solution & editorial
A social media company is trying to monitor activity on their site by analyzing the number of tweets that occur in select periods of time. These periods can be partitioned into smaller time chunks based on a certain frequency (every minute, hour, or day).
Tweet Counts Per Frequency is a Design Patterns problem, in the Design (General/Specific) subpattern. The pattern covers tries, LRU/LFU cache, and data structure design
Design and implement data structures: LRU cache, LFU cache, HashMap, and specialized structures.
The reference solution runs in O(N log N + Q log N) time and O(N) space.
Tweet Counts Per Frequency has been reported in interviews at Twitter.
The full editorial is part of Pro
It explains the core insight, the complexity analysis and the common mistakes, with a worked solution.
Tweet Counts Per Frequency is a Design Patterns problem, in the Design (General/Specific) subpattern. Once the approach above makes sense, write it yourself and then work through the neighbouring problems that reuse it.