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docs: adopt lazy analytics caching

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Amirhossein Khalili
2026-08-20 16:17:27 +03:30
parent 7c8afeaa4b
commit 680596fe73
10 changed files with 80 additions and 45 deletions
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docs/decisions/0007-calendar-aware-analytics-projections.md
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@@ -26,5 +26,5 @@ Keep normalized fact tables unpartitioned initially. Add targeted indexes from a
- The normalized ERD remains semantically correct while dashboards read smaller, purpose-built projections.
- Daily components support many calendar groupings without precomputing every possible period.
- Explicit reporting-period definitions and metric provenance make future AI observations traceable.
- Projection refresh, failure, stale-state visibility, and reconciliation tests become required operational behavior.
- Lazy calculation, revision invalidation, concurrency deduplication, failure, and stale-state visibility tests become required behavior.
- Schema/index/projection details remain subject to data profiling and approved metric/API requirements.