Algorithm for Merging Podcast Listening Segments
Implement a range‑merging algorithm that consolidates overlapping listening segments.
Implement and test a robust range‑merging function before production.
Summary
A developer wants to track which parts of a podcast a user has listened to by storing ranges as arrays of [start, end] timestamps. They plan to send these ranges to the server and merge them with existing data to avoid duplicates. The current approach uses a manual algorithm that merges overlapping ranges and consolidates adjacent segments. The developer tested the algorithm and it works for most cases.
They are considering whether to keep the logic in code or rely on a brain‑based solution. The post encourages others to share their own algorithms for merging intervals. The developer emphasizes the importance of accurate segment tracking for analytics. The discussion highlights the trade‑off between simplicity and robustness in range merging.
Key changes
- Track listening segments as array of [start,end] pairs
- Merge new segments with existing to avoid duplicates
- Handle overlapping ranges
- Algorithm tested for most cases
- Manual algorithm may need optimization
- Consider using interval tree for efficiency
- Ensure data integrity before sending to server