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beacon-server/docs/historical-stats.md
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MrAlders0n 2f4f92e31e fix(db): tie-safe trace paging, atomic migrations and honest stats windows
GET /traces takes an optional cursorTag so tags sharing a millisecond survive
paging. Migrations run under an advisory lock and record each file in the
same implicit transaction, so a crash can't strand a fresh database.
Overview windowHours counts the hours it covers, hourly observer activity
fills unrolled hours from raw rows, and integration fixtures are UTC.
2026-10-02 16:53:32 -04:00

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Historical stats

The rule

Historical stats never scan packet_observations per request or per refresh. They read hourly rollup tables filled once per closed hour by one background task. Raw rows are read only for per-entity drill-downs (a packet, a trace, a route), observer comparison and sub-hour observer activity.

Rollup contract

  • Hours. hour is the UTC date_trunc('hour', heard_at) and leads every rollup table's primary key. Rollup tables have no foreign keys: history outlives deleted observers, nodes and IATAs.
  • Eligibility. Hour [H, H+1h) can be rolled once now() >= H + 95 min. Ingest clamps heard_at to ±30 minutes of server time, so nothing can still land in it.
  • Registration. Every eligible hour since the earliest retained observation gets a row in analytics_rollup_hours, including hours with no traffic. Status is missing, complete or partial.
  • Rolling. One process holds the advisory lock (analytics_rollup task, every 5 minutes, plus a catch-up at boot). Each hour is rolled in one REPEATABLE READ transaction: copy its observations (joined to packet dimensions) into a temp table, delete and reinsert every family, hash the result, mark the hour complete. A serialization failure skips the hour until the next pass.
  • Revision. analytics_state.revision increases when an hour's content hash changes or an hour turns partial; analytics_raw_state.coverage increases when retention deletes rollup hours. Cache keys for rollup-backed endpoints include their sum (each counter only grows), read through a 10 s memo.
  • Raw deletion. Cleanup deletes packets older than packets.retention, but holds the cutoff 35 minutes behind the oldest missing hour, for at most 24 hours (it logs a warning past 6). Each batch advances analytics_raw_state.raw_deleted_before to the newest deleted last_heard_at. Cleanup and the rollup never write the same row.
  • Partial hours. A not-yet-complete hour starting at or before raw_deleted_before + 30 min lost raw rows before it was rolled. It is marked partial and never rolled; readers report it without values.
  • Re-rolls. Hours are not re-rolled periodically. A message stored by channel backfill (at startup, and when keys are imported at runtime) queues every hour its packet was heard in analytics_dirty_hours, in the same statement as the message insert. Each pass re-rolls a few complete ones while their raw rows remain. A queued hour still waiting for its first roll keeps its entry unless that roll's snapshot already included it.
  • Retention. Rollups are kept for analytics.rollup_retention (default 90 days), which is also the longest window /stats/series accepts.

Combining hours

Metric Across hours and IATAs
Observations, receptions, payload counts Sum
Unique packets, adverts, messages, scoped packets Sum of hourly IATA-set counts: each is counted once per hour it was heard, so one heard across an hour boundary counts twice (measured +1.1%)
Active observers, IATAs, scopes Distinct across the window
Active scope observers and nodes (per scope, per hour) Distinct within the hour, across the requested IATAs
Max path entries Max
SNR / RSSI averages Σ sum / Σ samples, never an average of averages

Windows snap to UTC hours on the server, and responses report the effective window. /stats/overview spans the 24 newest eligible hours; its windowHours counts the complete ones its totals cover.

IATA sets

A packet heard in YVR and YYZ appears in both IATAs' per-IATA rows, so summing per-IATA distinct counts overcounts (2.26× on production data). The *_sets tables instead group each distinct packet, advert or message under the exact sorted set of IATAs that heard it that hour (iatas char(3)[], kept canonical by a CHECK). For any requested set S, the rows where iatas && S count every item heard in S exactly once. This is exact for one IATA, a region or all IATAs.

Raw or current, by design

  • Packet, trace and route detail, the packet list, observer comparison, and observer activity below one hour. Hourly observer activity reads raw rows for the hours after the newest complete one (at most the last 3 hours), so the unrolled tail isn't shown as zero.
  • Current memberships: scope observer and node counts, node types, clock drift, radio presets.
  • /traces reads trace_tags, a per-tag summary kept at ingest, not a rollup. A new packet adds its count, type and payload in the statement that stores it; hearings set the times.

Adding a metric

  1. Add a family table to db/migrations/001_baseline.sql (on 2.x, a new migration): hour first in the primary key, no foreign keys, and a set table with CHECK (iata_set_is_canonical(iatas)) plus a GIN index if it needs distinct counts.
  2. Add a delete in DeleteRollupHour, a Roll* insert over rollup_obs in db/queries/rollup.sql, a line in RollupContentHash and DeleteOldRollups, and the call in rollHour (db/rollup.go).
  3. Read it with an hour-bounded query, using the UNION-ALL IATA guard (see series.sql) for per-IATA tables or iatas && @iatas for set tables.
  4. Cache it with cachedRollup so its key carries the revision.
  5. Add a raw-SQL oracle case to db/rollup_integration_test.go.
  6. Run sqlc generate, regenerate mocks and swagger.