aprs.me/test/aprsme_web/live
Graham McIntire 1934b8d014
Optimize memory pruning performance for large datasets
- Implemented dual-strategy pruning based on overage size
- Small overages (<10 packets): Only remove exactly what's needed
- Large overages: Batch prune with 20% buffer to reduce frequency
- Used Map.drop for more efficient bulk deletion
- Added Stream for lazy evaluation in small overage case
- Reduces complexity from O(n log n) on every insertion to:
  - O(k log k) for small overages where k << n
  - Amortized O(n log n) for large overages with buffering
- This significantly improves performance when managing thousands of packets

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-14 10:11:53 -05:00
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map_live Optimize memory pruning performance for large datasets 2025-07-14 10:11:53 -05:00
bad_packets_live_test.exs badpackets formatting 2025-07-12 08:02:51 -05:00
info_live_test.exs add comment on info page 2025-07-12 09:47:09 -05:00
user_registration_live_test.exs add callsign to users 2025-07-10 16:07:05 -05:00
user_settings_live_test.exs add callsign to users 2025-07-10 16:07:05 -05:00