Commit graph

4 commits

Author SHA1 Message Date
84e65232e5
Batch RF path queries, batch marker removals, and JS callsign index
- Replace N+1 get_latest_packet_for_callsign calls in RF path loading
  with single get_latest_packets_for_callsigns batch query (DISTINCT ON)
- Change batch packet processing to collect marker removal IDs and push
  one remove_markers_batch event instead of individual remove_marker calls
- Add callsignIndex reverse map (callsign_group → Set<markerID>) for O(1)
  lookup in new_packet/new_packets handlers instead of scanning all markers
2026-02-20 09:04:22 -06:00
dcabb744df
Batch push_events, RF path queries, and ETS tuning for hot paths
- Batch real-time packet push_events: collect marker data across the
  packet batch and send a single "new_packets" WebSocket message instead
  of one per packet. JS handler processes all live→historical conversions
  before adding new markers to avoid intra-batch conflicts.
- Batch RF path station queries: replace N+1 get_latest_packet_for_callsign
  calls with a single DISTINCT ON query selecting only callsign + lat/lng.
- Add read_concurrency: true to streaming_packets_subscribers and :aprsme
  ETS tables (read-heavy, rarely written).
- Remove dead GC code in PacketConsumer (threshold > 1000 unreachable with
  max batch_size of 100).
2026-02-20 08:30:54 -06:00
6c2b664333
Fix code review batch 3: auth, performance, dedup, cache TTL 2026-02-20 07:29:27 -06:00
11dbf8215c
feat: Implement comprehensive performance optimizations
- Add database indexes for common query patterns (path, callsign, device, weather)
- Implement packet batching in LiveView to reduce client updates
- Create PreparedQueries module for frequently executed database queries
- Add KNN (K-nearest neighbors) spatial queries using PostGIS
- Implement configurable debouncing for map bounds and hover events
- Integrate with existing Redis cache for device lookups
- Optimize cleanup worker with batch processing (already implemented)

These optimizations significantly improve query performance and reduce
database load, especially for high-traffic scenarios.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-30 14:14:00 -05:00