feat(storage): implement time-series compaction with downsampling and retention - #269
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levibliz merged 1 commit intoAug 18, 2026
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levibliz
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Aug 18, 2026
… retention Add automated downsampling, retention policies, and continuous aggregates for cost-effective long-term historical storage of location events. - Extend StorageAdapter interface with compact() and getCompactionStatus() - Add resolution parameter to queryRoom() for tiered data access (raw, 1m, 1h, 1d, auto) - Implement declarative partitioning by day on location_events - Add location_events_1m, _1h, _1d downsample/aggregate tables - Implement compaction pipeline: partition drop, 1m downsampling, 1h aggregates, 1d rollups, tier retention trimming - Add transparent query routing with auto-resolution selection - Implement MemoryAdapter compaction for testing without PostgreSQL - Add migration-compaction.sql for existing deployments - Update docker-compose.yml for TimescaleDB support - Add compaction configuration env vars - Add comprehensive test suite (storage-compaction.test.js) Closes RiftCore00#257 Closes RiftCore00#254 Closes RiftCore00#252 Closes RiftCore00#251
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Summary
Implements time-series data compaction with automated downsampling, retention policies, and continuous aggregates for cost-effective long-term historical storage of location events.
Changes
StorageAdapter Interface Extension (src/storage/adapter.js)
MemoryAdapter (src/storage/memory.js)
PostgresAdapter (src/storage/postgres.js)
Factory (src/storage/index.js)
Migration Script (src/storage/migration-compaction.sql)
Configuration
Docker Compose
Tests (tests/storage-compaction.test.js)
Retention Policy
Query Routing
queryRoom(roomId, { from, to, limit, resolution }) where resolution can be:
Verification
Closes #257