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The payload-breakdown and top-observers matviews stored a single 7-day total per group, so the 24h/7d/30d selector did nothing: payload ignored the window entirely (the store discarded `since`) and top-observers only varied which rows cleared the last_heard cutoff, never the counts. Bucket both views by hour over a 30-day horizon and sum the buckets in range, mirroring mv_hourly_iata_stats. The stats endpoints now honour the requested window while still reading a small precomputed table.
20 lines
737 B
SQL
20 lines
737 B
SQL
-- Precomputed observer activity, bucketed by hour so top-observers can be
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-- served for any window (24h/7d/30d) by summing the buckets in range. Was a
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-- ~2s per-request scan of a week of observations.
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CREATE MATERIALIZED VIEW mv_top_observers_by_iata AS
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SELECT
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po.iata,
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po.observer_id,
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o.display_name,
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o.observer_type,
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date_trunc('hour', po.heard_at)::timestamptz AS bucket,
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COUNT(*) AS observation_count
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FROM packet_observations po
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JOIN observers o ON o.id = po.observer_id
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WHERE po.heard_at > NOW() - INTERVAL '30 days'
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GROUP BY po.iata, po.observer_id, o.display_name, o.observer_type, date_trunc('hour', po.heard_at);
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CREATE UNIQUE INDEX idx_mv_top_observers
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ON mv_top_observers_by_iata(iata, observer_id, bucket);
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