This commit introduces several major performance improvements and adds
robust error handling for malformed HTTP requests:
Performance Optimizations:
- Add database migration with BRIN indexes for time-series data and partial
indexes for recent queries, significantly improving query performance
- Create global StreamingPacketsPubSub system for real-time packet distribution
with geographic bounds filtering using ETS for fast lookups
- Refactor PacketConsumer to use Stream module for memory-efficient processing,
preventing memory accumulation during batch operations
- Implement dedicated BroadcastTaskSupervisor pool for async broadcast operations,
preventing GenServer blocking on I/O
- Increase database connection pool from 25 to 45 (production) and 15 to 30 (dev)
for better concurrency support
Error Handling:
- Add SentryFilter to prevent Bandit.HTTPError from missing Host headers from
cluttering Sentry (common with bots/scanners)
- Configure custom 400 Bad Request error handling
- Filter out common bot/scanner paths from error reporting
All changes include comprehensive test coverage following TDD practices.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed InsertOptimizer returning map instead of keyword list for Ecto
- Increased batch size ranges to handle high load (100-800 packets)
- Improved consumer responsiveness:
- Reduced batch timeout from 1000ms to 500ms
- Process batches at 80% capacity for better throughput
- Reduced adjustment interval from 10s to 5s
- Added comprehensive logging for debugging buffer status
- Created integration tests for packet pipeline
- Coordinated batch sizing between SystemMonitor and InsertOptimizer
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Co-Authored-By: Claude <noreply@anthropic.com>
- Renamed predicate functions to follow Elixir conventions:
- is_finite? → finite?
- is_finite_number? → finite_number?
- is_finite_float? → finite_float?
- Fixed all function returns to ensure proper nil handling
- Applied mix format to all files
- All tests pass with no compilation warnings
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Co-Authored-By: Claude <noreply@anthropic.com>
- 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>
- Fixed PHG parsing test to match actual parser behavior
- Fixed movement test to properly handle batch loading behavior
- Movement test now sets bounds and uses higher zoom level
- Added helper function to flush events during test setup
- All tests now passing with clean compilation
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>