- AggregationIndex: defineAggregate before init no longer forces a backfill.
init reconciles instead of clobbering: the app definition wins, persisted
state is adopted on hash match, a write landing pre-adoption forces an exact
rescan, and a successful state load clears the backfill flag. New ready()
settles every adoption decision before query paths consult backfill state.
- brainy: backfills are single-flight and batched. Concurrent queries share one
store walk and every pending aggregate fills from that same walk; the old
behavior let each concurrent query wipe the others' partial state and start
its own full walk, so a store under steady aggregate traffic never converged.
queryAggregate also waits for persisted definitions before deciding an
aggregate does not exist.
- paramValidation: recordQuery is telemetry-only. The duration-based cap
ratchet (x0.8 per recorded query while lifetime-average exceeded 1s, floored
at 1000 - below the documented 10000 auto floor, reported under a stale
basis label) is removed; the cap comes from its construction-time basis or
explicit overrides alone.
- storage: __aggregation_* and singleton system keys (brainy:entityIdMapper)
are recognized before the unknown-key warning fires; routing is unchanged.
- docs: find-limits cap-immutability note, aggregation reopen/adoption
semantics, RELEASES.md 8.5.1 entry.
Add 'percentile' (with a 'p' fraction in [0,1]) and 'distinctCount' to the
aggregation engine. Both are exact, computed from a per-metric value multiset
(MetricState.valueCounts) maintained incrementally and delete-safe; percentile
uses numpy-linear interpolation. The multiset is JSON-serializable so results
survive persistence. 35 aggregation unit tests pass.
Add a write-time incremental aggregation engine that maintains running
totals on every add/update/delete for O(1) read performance. Integrates
into brain.find({ aggregate }) for a unified query API.
Core features:
- AggregationIndex with defineAggregate()/removeAggregate() API
- Five aggregation operations: SUM, COUNT, AVG, MIN, MAX
- GROUP BY with multiple dimensions including time windows
- Time window bucketing: hour, day, week, month, quarter, year, custom
- Materialization of results as NounType.Measurement entities
- Debounced persistence of definitions and state to storage
- Definition change detection via FNV-1a hashing with auto-rebuild
- Infinite loop prevention for materialized entities
- 'aggregation' plugin provider key for native acceleration
- Lazy initialization (created on first defineAggregate() call)
- 73 tests (unit + integration) covering all functionality
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
