Newest first, grouped by year. Search or filter by topic.
Trill's browse endpoint loads every rating document for every story on the page into process memory and sums them in LINQ - while the same codebase already has a server-side SumAsync that returns the number without moving a single document.
V3's rewritten CreateAggregatedFacts expires every aggregate and rebuilds them all from scratch on each run. It is blunt, it is correct, and the trade between rebuild-it-all simplicity and incremental cleverness is one KC Star kept relitigating all the way to V8.
KC Star V2 leaked aggregate rows because base facts and rollups shared one table. V3 gives aggregates a dedicated SalesAggregationFact table with its own SCD2 - and the fix is as much about what SalesFact loses as what the new table gains.
KC Star V2's measure formulas read like window functions - SUM(...) OVER (PARTITION BY SaleType) - but the implementation is plain GROUP BY. Here is how CreateAggregatedFacts actually builds the aggregates, and why the formula strings deliberately lie.
To compute per-SaleType aggregates, KC Star V2 lifted one dimension out of the row store and made it a real column. Here is the renumbering it forced, what it did to the version hash, and the honest tension of un-inverting one attribute in a schema built on inversion.
KC Star V1 declared eight measures and computed four. V2 computes all eight - base measures and aggregates together in a single SalesFact table. Kicking off the series on the version that made the warehouse analytical, and started the trouble that V3 had to fix.
