EvaluatePlay (the hottest gameplay call, fired on every tile placement) now uses
the warm live-game cache directly: an active game stays cached (mutated in place
across moves, evicted only on finish), so the cached engine game and its immutable
seat list answer the membership check and the score with no DB read. The cold path
(eviction / first load) still loads and validates via the store. The seat list is
cached alongside the engine game for the membership fast path.
GetGame also folds its two round-trips (game, then seats) into one LEFT JOIN,
preserving the contract (same Game, a seatless game still returns empty seats, seat
order kept) — one round-trip for every remaining caller.
Measured at 500 players: evaluate p99 halves (200 -> 100 ms) and the per-op query
count drops. It does NOT cut postgres CPU — that is write-bound (per-move CommitMove
plus draft upserts and journal replays), the cheap indexed GetGame reads were never
its bottleneck, and postgres runs with headroom (~1.5 of 2 cores). So this is a
latency / query-volume optimization, not a DB-CPU one.
Regression cover: a non-player evaluate against a warm game asserts the cached-seat
membership path; the integration suite exercises GetGame's join across every game op.
The loadtest harness never modelled game.evaluate — the debounced per-tile
play preview a real client fires several times per turn, the hottest gameplay
call. Model it (one evaluate per placed tile + reconsideration re-previews +
draft.save, human-paced; --eval / --eval-recon toggle it).
That realistic load surfaced the real bottleneck: the gateway's backend HTTP
client used the default transport (MaxIdleConnsPerHost=2), so every sync call
to the single backend host churned a fresh TCP connection — ~26500 TIME_WAIT
sockets at 500 players (near the ephemeral-port ceiling), burning ~1.75 gateway
cores while the backend sat near-idle. It was the unfixed root of the residual
transport_error the earlier passes chased on the client side.
Widen the keep-alive pool (backendMaxIdleConns=512, ~2x the observed 225-conn
peak). At 500 players the churn collapses to ~0 and peak gateway CPU drops ~7x
(~1.75 -> ~0.26 cores); postgres (~1.65 cores) becomes the busiest service.
This overturns the earlier "gateway is the binding constraint, scale it
horizontally" sizing — that was sizing around this bug, not a real floor.
Consolidate the loadtest trip reports into one loadtest/REPORT.md (drop the
R2/R7 split) and bake the finding into README / PRERELEASE / ARCHITECTURE /
TESTING.
Ilia Denisov