fix: outbox KPI per-status legs, composite event-log indexes, AuditLog ingest FORCESEEK (#122, #123, #124)
#122: the Notification Outbox KPI snapshots ORed every status in one aggregation, which scanned the clustered index once the table held ~1 M Parked rows (0.7-2.6 s; Health dashboard up to 5 s). Each snapshot now runs three status-equality legs that seek their own index (~0.12 s); a cold Health load on the rig is 0.12-0.52 s. #123: site_events event_type/severity indexes are now composites with timestamp, so a filtered page is read in order and stops at the limit (severity=Error over 1 GB: 2,287 -> 15 ms cold, 115 -> 1.6 ms warm). Costs 454 -> 530 B/row, ~14 % fewer rows under the same cap. The schema apply drops the old indexes in place; the cap size model samples timestamp three times and re-scores inside its band with unchanged constants. #124: the set-based AuditLog insert's NOT EXISTS probe scanned the EventId index and concurrent writers deadlocked on S/IX page locks. WITH (FORCESEEK): 4 writers 775 rows/s + 76 deadlocks in 30 s -> 5,214 rows/s + 0. New concurrent-writer regression test fails 4/4 without the hint.
This commit is contained in:
@@ -250,7 +250,18 @@ VALUES
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}
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sql.Append("\n) AS v (").Append(CanonicalColumnList).Append(")\n");
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sql.Append("WHERE NOT EXISTS (SELECT 1 FROM dbo.AuditLog x WHERE x.EventId = v.EventId);");
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// FORCESEEK (#124): left to itself the optimizer answered the anti-semi-join for
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// a 256-row packet by SCANNING the EventId index. Under READ COMMITTED a scan
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// holds its current page's S lock while it requests the next page, so two
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// concurrent inserts — each holding IX on the pages it had just written —
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// deadlocked on each other's pages (error 1205; captured graph: two INSERTs,
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// S/IX page locks on AuditLog). Measured with 4 concurrent writers on a fresh
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// database (ResidualBench audit-contention): 76 victims in 30 s, 775 rows/s.
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// One index seek per VALUES row locks only the key it reads, and only while
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// reading it: 0 victims, 5,214 rows/s. A seek can still wait on another
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// writer's uncommitted row with the SAME EventId — a genuine duplicate, which
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// the duplicate-key fallback below already resolves.
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sql.Append("WHERE NOT EXISTS (SELECT 1 FROM dbo.AuditLog x WITH (FORCESEEK) WHERE x.EventId = v.EventId);");
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var conn = _context.Database.GetDbConnection();
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var openedHere = false;
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+126
-116
@@ -428,63 +428,50 @@ VALUES
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return total;
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}
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// ── Outbox KPIs (#122) ────────────────────────────────────────────────────────────
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//
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// Every snapshot is computed as THREE status-equality legs instead of one
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// aggregation over an OR'd predicate:
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// * live — Status IN (Pending, Retrying): queue depth, stuck count, oldest age;
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// * parked — Status = Parked: the parked count;
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// * delivered — Status = Delivered AND DeliveredAt >= since: the interval count.
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// The OR'd pre-filter (the shape before #122) made SQL Server scan the clustered
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// index: on the rig's 4.35 M-row table (945 k Parked, 3.4 M Delivered) the global
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// snapshot took 0.7-2.6 s and 76 k logical reads. Split, each leg seeks its own index
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// — (Status, NextAttemptAt) for live and parked, the filtered IX_Notifications_Delivered
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// for the interval leg — and the global snapshot takes ~0.12 s (parked count 18 k
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// reads, live 195, delivered 5). The grouped per-site/per-node snapshots still read
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// every parked row to group it, but the live and delivered legs no longer ride along.
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/// <inheritdoc />
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public async Task<NotificationKpiSnapshot> ComputeKpisAsync(
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DateTimeOffset stuckCutoff, DateTimeOffset deliveredSince, CancellationToken cancellationToken = default)
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{
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var now = DateTimeOffset.UtcNow;
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// One conditional-aggregation pass replaces four sequential COUNT round trips:
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// each metric is a COUNT(CASE WHEN <predicate> THEN 1 END) over the same scan
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// (arch-review 04). GroupBy(_ => 1) yields a single group (no rows → no group).
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//
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// The aggregation is PREDICATE-RESTRICTED instead of scanning the
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// whole table. Every KPI here is about the live queue (Pending/Retrying), the
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// parked backlog, or the last delivery interval; the overwhelming bulk of the
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// Notifications table is historical Delivered and Discarded rows that
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// contribute to NONE of them. The pre-filter below is the union of the
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// metric-contributing predicates, which lets the optimizer seek the status
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// index for the live/parked legs and the filtered
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// (DeliveredAt) WHERE Status='Delivered' index for the interval leg,
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// instead of paying a full scan whose cost grows with retained history.
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// Mirrors the pre-filter ComputePerSiteKpisAsync/ComputePerNodeKpisAsync
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// already use — the global snapshot was the odd one out.
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var counts = await _context.Notifications
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.Where(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying
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|| n.Status == NotificationStatus.Parked
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|| (n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince))
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// Live leg: counts and the oldest CreatedAt in one aggregation over the (small)
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// non-terminal set. GroupBy(_ => 1) yields a single group, or none when the queue is empty.
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var live = await LiveQueue()
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.GroupBy(_ => 1)
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.Select(g => new
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{
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QueueDepth = g.Count(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying),
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StuckCount = g.Count(n => (n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying)
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&& n.CreatedAt < stuckCutoff),
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ParkedCount = g.Count(n => n.Status == NotificationStatus.Parked),
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DeliveredLastInterval = g.Count(n => n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince),
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QueueDepth = g.Count(),
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StuckCount = g.Count(n => n.CreatedAt < stuckCutoff),
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OldestCreatedAt = g.Min(n => (DateTimeOffset?)n.CreatedAt),
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})
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.FirstOrDefaultAsync(cancellationToken);
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// Oldest non-terminal CreatedAt — TOP(1) via ordered FirstOrDefault, so the
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// live queue is never materialized. The nullable cast lets FirstOrDefault
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// return null (no non-terminal rows) instead of throwing.
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var oldestCreatedAt = await _context.Notifications
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.Where(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying)
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.OrderBy(n => n.CreatedAt)
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.Select(n => (DateTimeOffset?)n.CreatedAt)
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.FirstOrDefaultAsync(cancellationToken);
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var parkedCount = await _context.Notifications
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.CountAsync(n => n.Status == NotificationStatus.Parked, cancellationToken);
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var deliveredCount = await DeliveredSince(deliveredSince).CountAsync(cancellationToken);
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return new NotificationKpiSnapshot(
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QueueDepth: counts?.QueueDepth ?? 0,
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StuckCount: counts?.StuckCount ?? 0,
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ParkedCount: counts?.ParkedCount ?? 0,
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DeliveredLastInterval: counts?.DeliveredLastInterval ?? 0,
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OldestPendingAge: oldestCreatedAt is null ? null : now - oldestCreatedAt.Value);
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QueueDepth: live?.QueueDepth ?? 0,
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StuckCount: live?.StuckCount ?? 0,
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ParkedCount: parkedCount,
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DeliveredLastInterval: deliveredCount,
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OldestPendingAge: live?.OldestCreatedAt is null ? null : now - live.OldestCreatedAt.Value);
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}
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/// <inheritdoc />
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@@ -493,47 +480,31 @@ VALUES
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{
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var now = DateTimeOffset.UtcNow;
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// One grouped conditional-aggregation query per scope: counts AND the oldest
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// non-terminal CreatedAt (server-side MIN over a CASE, so the live queue is
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// never materialized) computed in a single scan. Pre-filter to rows that
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// contribute to at least one metric so a site with only fully-uncounted rows
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// (e.g. Discarded, or out-of-window Delivered) does not surface as an
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// all-zero row — preserving the prior union-of-metric-keys semantics.
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var rows = await _context.Notifications
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.Where(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying
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|| n.Status == NotificationStatus.Parked
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|| (n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince))
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var live = await LiveQueue()
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.GroupBy(n => n.SourceSiteId)
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.Select(g => new
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{
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Site = g.Key,
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QueueDepth = g.Count(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying),
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StuckCount = g.Count(n => (n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying)
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&& n.CreatedAt < stuckCutoff),
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ParkedCount = g.Count(n => n.Status == NotificationStatus.Parked),
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DeliveredLastInterval = g.Count(n => n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince),
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OldestCreatedAt = g.Min(n => (n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying)
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? (DateTimeOffset?)n.CreatedAt
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: null),
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})
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.Select(g => new LiveRow(
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g.Key,
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g.Count(),
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g.Count(n => n.CreatedAt < stuckCutoff),
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g.Min(n => (DateTimeOffset?)n.CreatedAt)))
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.ToListAsync(cancellationToken);
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return rows
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.OrderBy(r => r.Site, StringComparer.Ordinal)
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.Select(r => new SiteNotificationKpiSnapshot(
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SourceSiteId: r.Site,
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QueueDepth: r.QueueDepth,
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StuckCount: r.StuckCount,
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ParkedCount: r.ParkedCount,
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DeliveredLastInterval: r.DeliveredLastInterval,
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OldestPendingAge: r.OldestCreatedAt is null ? null : now - r.OldestCreatedAt.Value))
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.ToList();
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var parked = await _context.Notifications
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.Where(n => n.Status == NotificationStatus.Parked)
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.GroupBy(n => n.SourceSiteId)
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.Select(g => new CountRow(g.Key, g.Count()))
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.ToListAsync(cancellationToken);
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var delivered = await DeliveredSince(deliveredSince)
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.GroupBy(n => n.SourceSiteId)
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.Select(g => new CountRow(g.Key, g.Count()))
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.ToListAsync(cancellationToken);
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// A key appears only when it contributes to at least one leg, so a site with only
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// uncounted rows (Discarded, out-of-window Delivered) never surfaces as an all-zero row.
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return MergeLegs(live, parked, delivered, now,
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(key, depth, stuck, parkedCount, deliveredCount, age) =>
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new SiteNotificationKpiSnapshot(key, depth, stuck, parkedCount, deliveredCount, age));
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}
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/// <inheritdoc />
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@@ -542,44 +513,83 @@ VALUES
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{
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var now = DateTimeOffset.UtcNow;
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// Same single-scan grouped aggregation as ComputePerSiteKpisAsync, keyed by
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// SourceNode. Rows with a NULL SourceNode (legacy / unstamped) are excluded —
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// per-node KPIs are only meaningful when node identity is known.
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var rows = await _context.Notifications
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.Where(n => n.SourceNode != null
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&& (n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying
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|| n.Status == NotificationStatus.Parked
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|| (n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince)))
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// Same three legs as ComputePerSiteKpisAsync, keyed by SourceNode. Rows with a NULL
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// SourceNode (legacy / unstamped) are excluded — per-node KPIs are only meaningful
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// when node identity is known.
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var live = await LiveQueue()
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.Where(n => n.SourceNode != null)
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.GroupBy(n => n.SourceNode!)
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.Select(g => new
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{
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Node = g.Key,
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QueueDepth = g.Count(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying),
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StuckCount = g.Count(n => (n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying)
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&& n.CreatedAt < stuckCutoff),
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ParkedCount = g.Count(n => n.Status == NotificationStatus.Parked),
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DeliveredLastInterval = g.Count(n => n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince),
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OldestCreatedAt = g.Min(n => (n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying)
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? (DateTimeOffset?)n.CreatedAt
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: null),
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})
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.Select(g => new LiveRow(
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g.Key,
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g.Count(),
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g.Count(n => n.CreatedAt < stuckCutoff),
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g.Min(n => (DateTimeOffset?)n.CreatedAt)))
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.ToListAsync(cancellationToken);
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return rows
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.OrderBy(r => r.Node, StringComparer.Ordinal)
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.Select(r => new NodeNotificationKpiSnapshot(
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SourceNode: r.Node,
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QueueDepth: r.QueueDepth,
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StuckCount: r.StuckCount,
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ParkedCount: r.ParkedCount,
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DeliveredLastInterval: r.DeliveredLastInterval,
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OldestPendingAge: r.OldestCreatedAt is null ? null : now - r.OldestCreatedAt.Value))
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var parked = await _context.Notifications
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.Where(n => n.Status == NotificationStatus.Parked && n.SourceNode != null)
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.GroupBy(n => n.SourceNode!)
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.Select(g => new CountRow(g.Key, g.Count()))
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.ToListAsync(cancellationToken);
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var delivered = await DeliveredSince(deliveredSince)
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.Where(n => n.SourceNode != null)
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.GroupBy(n => n.SourceNode!)
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.Select(g => new CountRow(g.Key, g.Count()))
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.ToListAsync(cancellationToken);
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return MergeLegs(live, parked, delivered, now,
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(key, depth, stuck, parkedCount, deliveredCount, age) =>
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new NodeNotificationKpiSnapshot(key, depth, stuck, parkedCount, deliveredCount, age));
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}
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/// <summary>The non-terminal queue: <c>Status IN (Pending, Retrying)</c>, two index seek ranges.</summary>
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private IQueryable<Notification> LiveQueue() =>
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_context.Notifications.Where(n => n.Status == NotificationStatus.Pending
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|| n.Status == NotificationStatus.Retrying);
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/// <summary>
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/// Delivered rows inside the KPI interval. The literal <c>Status = 'Delivered'</c> plus the
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/// <c>DeliveredAt</c> range matches the filtered <c>IX_Notifications_Delivered</c> index.
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/// </summary>
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private IQueryable<Notification> DeliveredSince(DateTimeOffset deliveredSince) =>
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_context.Notifications.Where(n => n.Status == NotificationStatus.Delivered
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&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince);
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private sealed record LiveRow(string Key, int QueueDepth, int StuckCount, DateTimeOffset? OldestCreatedAt);
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private sealed record CountRow(string Key, int Count);
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/// <summary>
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/// Joins the three per-key legs into one snapshot per key, ordered ordinally by key.
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/// </summary>
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private static List<TSnapshot> MergeLegs<TSnapshot>(
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IReadOnlyList<LiveRow> live,
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IReadOnlyList<CountRow> parked,
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IReadOnlyList<CountRow> delivered,
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DateTimeOffset now,
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Func<string, int, int, int, int, TimeSpan?, TSnapshot> create)
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{
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var liveByKey = live.ToDictionary(r => r.Key, StringComparer.Ordinal);
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var parkedByKey = parked.ToDictionary(r => r.Key, r => r.Count, StringComparer.Ordinal);
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var deliveredByKey = delivered.ToDictionary(r => r.Key, r => r.Count, StringComparer.Ordinal);
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return liveByKey.Keys
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.Concat(parkedByKey.Keys)
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.Concat(deliveredByKey.Keys)
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.Distinct(StringComparer.Ordinal)
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.OrderBy(k => k, StringComparer.Ordinal)
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.Select(key =>
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{
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liveByKey.TryGetValue(key, out var l);
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return create(
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key,
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l?.QueueDepth ?? 0,
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l?.StuckCount ?? 0,
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parkedByKey.GetValueOrDefault(key),
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deliveredByKey.GetValueOrDefault(key),
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l?.OldestCreatedAt is null ? null : now - l.OldestCreatedAt.Value);
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})
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.ToList();
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}
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@@ -89,7 +89,11 @@ public class EventLogPurgeService : BackgroundService
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/// </summary>
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private const double TablePageFillFactor = 0.78;
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|
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/// <summary>Number of indexes on <c>site_events</c> (timestamp, event_type, instance_id, severity).</summary>
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/// <summary>
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/// Number of secondary indexes on <c>site_events</c>: timestamp, instance_id,
|
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/// (event_type, timestamp) and (severity, timestamp). The sampled <c>indexed_bytes</c>
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/// charges every covered column once per index, hence <c>3 * octet_length(timestamp)</c>.
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/// </summary>
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private const int IndexedColumnCount = 4;
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/// <summary>Per-entry bookkeeping in an index B-tree leaf: key-length varint, rowid and cell pointer.</summary>
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@@ -680,8 +684,8 @@ public class EventLogPurgeService : BackgroundService
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/// <para>
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/// <b>The model.</b> Rows are sampled from both ends of the table (<see cref="SizeSampleRows"/>
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/// from each — the head is what the oldest-first trim will actually delete, the tail catches a
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/// workload whose event shape has drifted) to get an average payload width and an average
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/// width across the four indexed columns. Table cost is then computed as whole pages —
|
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/// workload whose event shape has drifted) to get an average payload width and the average
|
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/// summed width of the columns each of the four indexes covers. Table cost is then computed as whole pages —
|
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/// <c>ceil(rows / rowsPerPage) × pageSize</c> — rather than as a flat bytes-per-row rate,
|
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/// because that is the term that dominates once rows approach half a page: rows too wide to
|
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/// pack two-per-page waste the remainder, which a linear model underestimates by ~40 %.
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@@ -730,7 +734,7 @@ public class EventLogPurgeService : BackgroundService
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+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
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+ octet_length(source) + octet_length(message)
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+ COALESCE(octet_length(details), 0) AS payload_bytes,
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octet_length(timestamp) + octet_length(event_type)
|
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(3 * octet_length(timestamp)) + octet_length(event_type)
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+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
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AS indexed_bytes
|
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FROM site_events LIMIT {SizeSampleRows}
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@@ -742,7 +746,7 @@ public class EventLogPurgeService : BackgroundService
|
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+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
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+ octet_length(source) + octet_length(message)
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+ COALESCE(octet_length(details), 0) AS payload_bytes,
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octet_length(timestamp) + octet_length(event_type)
|
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(3 * octet_length(timestamp)) + octet_length(event_type)
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+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
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AS indexed_bytes
|
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FROM site_events ORDER BY rowid DESC LIMIT {SizeSampleRows}
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||||
|
||||
@@ -67,10 +67,24 @@ public static class SiteEventLogSchema
|
||||
details TEXT
|
||||
);
|
||||
CREATE INDEX IF NOT EXISTS idx_events_timestamp ON site_events(timestamp);
|
||||
CREATE INDEX IF NOT EXISTS idx_events_type ON site_events(event_type);
|
||||
CREATE INDEX IF NOT EXISTS idx_events_instance ON site_events(instance_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_events_severity ON site_events(severity);
|
||||
DROP INDEX IF EXISTS idx_events_type;
|
||||
DROP INDEX IF EXISTS idx_events_severity;
|
||||
CREATE INDEX IF NOT EXISTS idx_events_type_timestamp ON site_events(event_type, timestamp);
|
||||
CREATE INDEX IF NOT EXISTS idx_events_severity_timestamp ON site_events(severity, timestamp);
|
||||
""";
|
||||
// The type and severity indexes are composites with timestamp (#123). The query
|
||||
// service always orders by (timestamp, id) and returns one page, so a
|
||||
// single-column index made an equality filter read EVERY matching row and sort
|
||||
// it before returning 500 (severity=Error over a full 1 GB log: 2.3 s cold,
|
||||
// 115 ms warm). The composite returns the rows already in timestamp order and
|
||||
// stops at the page limit (~1 ms). The cost is ~69 bytes per row more index,
|
||||
// which the storage-cap size model charges (EventLogPurgeService sampling SQL).
|
||||
// The DROPs migrate a pre-#123 file in place on its first boot; dropping and
|
||||
// building an index on a 1 GB table takes seconds and runs once. Indexes are not
|
||||
// part of LocalDb's replicated-table digest, so a pair may upgrade one node at a
|
||||
// time as far as this change is concerned.
|
||||
//
|
||||
// The query service also supports keyword search via leading-wildcard
|
||||
// LIKE on message/source. A leading-wildcard LIKE cannot use a B-tree
|
||||
// index, so that path intentionally full-scans; severity/event_type/
|
||||
|
||||
Reference in New Issue
Block a user