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:
Joseph Doherty
2026-11-10 16:46:42 -05:00
parent 2b80a6defa
commit 424db1555d
12 changed files with 386 additions and 158 deletions
+3 -2
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File diff suppressed because one or more lines are too long
+6 -2
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@@ -57,12 +57,16 @@ cmd.CommandText = """
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 `event_type` and `severity` indexes are composites with `timestamp` (#123). Every query orders by `(timestamp, id)` and returns one page, so with a single-column index an equality filter read and sorted every matching row: `severity = Error` over a full 1 GB log took 2.3 s cold and 115 ms warm. The composite index returns rows already in timestamp order and stops at the page limit, in about 1 ms. The cost is about 69 bytes more index per row, which the storage-cap model charges, so a 1 GB cap now holds roughly 15 % fewer events. The two `DROP INDEX` statements migrate a pre-#123 file in place on its first boot; rebuilding the two indexes on a full 1 GB table takes seconds and happens once. Indexes are not part of LocalDb's replicated-table digest, so this change does not stop a mixed-version pair from syncing.
Keyword search (`KeywordFilter`) runs as `LIKE '%…%' ESCAPE '\'` on `message` and `source`. A leading-wildcard `LIKE` cannot use a B-tree index, so keyword-only queries full-scan the table. All other filters (`event_type`, `severity`, `instance_id`, `timestamp`) are covered by the indexes above.
### Connection lock
@@ -171,6 +171,24 @@ stream whose row width changes sharply *in the middle* of the history — neithe
tail — is mis-sized until the trim reaches it. Self-correcting in practice, since the cap is
re-evaluated every tick and the head sample advances as the oldest rows go.
### 3.2 Recalibration for the composite indexes (#123, 2026-11-10)
#123 replaced the single-column `event_type` and `severity` indexes with `(event_type, timestamp)`
and `(severity, timestamp)`. There are still four secondary indexes, so `IndexedColumnCount = 4`
stands. The sampler's `indexed_bytes` now counts `timestamp` three times: once for its own index
and once for each composite. The other constants are unchanged.
The model was re-scored with `EstimateSiteEventsSize_TracksTheRealFootprint`:
| Workload | estimated | actual | error | before #123 |
| --- | ---: | ---: | ---: | ---: |
| narrow rows, no details | 3 859 626 | 3 551 232 | **+8.7 %** | +8.4 % |
| typical rows, 200 B details | 4 520 096 | 4 005 888 | **+12.8 %** | +12.8 % |
| wide rows, 2 KB details | 13 012 048 | 13 078 528 | **−0.5 %** | −0.8 % |
The band and the high bias are unchanged. `SiteEventsSchemaCalibrationTests` pins the new index
set and the columns each index covers.
## 4. The wipe-prevention guard, restated
The register asked whether the "size did not decrease" guard should survive. It should, and it
@@ -250,7 +250,18 @@ VALUES
}
sql.Append("\n) AS v (").Append(CanonicalColumnList).Append(")\n");
sql.Append("WHERE NOT EXISTS (SELECT 1 FROM dbo.AuditLog x WHERE x.EventId = v.EventId);");
// FORCESEEK (#124): left to itself the optimizer answered the anti-semi-join for
// a 256-row packet by SCANNING the EventId index. Under READ COMMITTED a scan
// holds its current page's S lock while it requests the next page, so two
// concurrent inserts — each holding IX on the pages it had just written —
// deadlocked on each other's pages (error 1205; captured graph: two INSERTs,
// S/IX page locks on AuditLog). Measured with 4 concurrent writers on a fresh
// database (ResidualBench audit-contention): 76 victims in 30 s, 775 rows/s.
// One index seek per VALUES row locks only the key it reads, and only while
// reading it: 0 victims, 5,214 rows/s. A seek can still wait on another
// writer's uncommitted row with the SAME EventId — a genuine duplicate, which
// the duplicate-key fallback below already resolves.
sql.Append("WHERE NOT EXISTS (SELECT 1 FROM dbo.AuditLog x WITH (FORCESEEK) WHERE x.EventId = v.EventId);");
var conn = _context.Database.GetDbConnection();
var openedHere = false;
@@ -428,63 +428,50 @@ VALUES
return total;
}
// ── Outbox KPIs (#122) ────────────────────────────────────────────────────────────
//
// Every snapshot is computed as THREE status-equality legs instead of one
// aggregation over an OR'd predicate:
// * live — Status IN (Pending, Retrying): queue depth, stuck count, oldest age;
// * parked — Status = Parked: the parked count;
// * delivered — Status = Delivered AND DeliveredAt >= since: the interval count.
// The OR'd pre-filter (the shape before #122) made SQL Server scan the clustered
// index: on the rig's 4.35 M-row table (945 k Parked, 3.4 M Delivered) the global
// snapshot took 0.7-2.6 s and 76 k logical reads. Split, each leg seeks its own index
// — (Status, NextAttemptAt) for live and parked, the filtered IX_Notifications_Delivered
// for the interval leg — and the global snapshot takes ~0.12 s (parked count 18 k
// reads, live 195, delivered 5). The grouped per-site/per-node snapshots still read
// every parked row to group it, but the live and delivered legs no longer ride along.
/// <inheritdoc />
public async Task<NotificationKpiSnapshot> ComputeKpisAsync(
DateTimeOffset stuckCutoff, DateTimeOffset deliveredSince, CancellationToken cancellationToken = default)
{
var now = DateTimeOffset.UtcNow;
// One conditional-aggregation pass replaces four sequential COUNT round trips:
// each metric is a COUNT(CASE WHEN <predicate> THEN 1 END) over the same scan
// (arch-review 04). GroupBy(_ => 1) yields a single group (no rows → no group).
//
// The aggregation is PREDICATE-RESTRICTED instead of scanning the
// whole table. Every KPI here is about the live queue (Pending/Retrying), the
// parked backlog, or the last delivery interval; the overwhelming bulk of the
// Notifications table is historical Delivered and Discarded rows that
// contribute to NONE of them. The pre-filter below is the union of the
// metric-contributing predicates, which lets the optimizer seek the status
// index for the live/parked legs and the filtered
// (DeliveredAt) WHERE Status='Delivered' index for the interval leg,
// instead of paying a full scan whose cost grows with retained history.
// Mirrors the pre-filter ComputePerSiteKpisAsync/ComputePerNodeKpisAsync
// already use — the global snapshot was the odd one out.
var counts = await _context.Notifications
.Where(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying
|| n.Status == NotificationStatus.Parked
|| (n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince))
// Live leg: counts and the oldest CreatedAt in one aggregation over the (small)
// non-terminal set. GroupBy(_ => 1) yields a single group, or none when the queue is empty.
var live = await LiveQueue()
.GroupBy(_ => 1)
.Select(g => new
{
QueueDepth = g.Count(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying),
StuckCount = g.Count(n => (n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying)
&& n.CreatedAt < stuckCutoff),
ParkedCount = g.Count(n => n.Status == NotificationStatus.Parked),
DeliveredLastInterval = g.Count(n => n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince),
QueueDepth = g.Count(),
StuckCount = g.Count(n => n.CreatedAt < stuckCutoff),
OldestCreatedAt = g.Min(n => (DateTimeOffset?)n.CreatedAt),
})
.FirstOrDefaultAsync(cancellationToken);
// Oldest non-terminal CreatedAt — TOP(1) via ordered FirstOrDefault, so the
// live queue is never materialized. The nullable cast lets FirstOrDefault
// return null (no non-terminal rows) instead of throwing.
var oldestCreatedAt = await _context.Notifications
.Where(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying)
.OrderBy(n => n.CreatedAt)
.Select(n => (DateTimeOffset?)n.CreatedAt)
.FirstOrDefaultAsync(cancellationToken);
var parkedCount = await _context.Notifications
.CountAsync(n => n.Status == NotificationStatus.Parked, cancellationToken);
var deliveredCount = await DeliveredSince(deliveredSince).CountAsync(cancellationToken);
return new NotificationKpiSnapshot(
QueueDepth: counts?.QueueDepth ?? 0,
StuckCount: counts?.StuckCount ?? 0,
ParkedCount: counts?.ParkedCount ?? 0,
DeliveredLastInterval: counts?.DeliveredLastInterval ?? 0,
OldestPendingAge: oldestCreatedAt is null ? null : now - oldestCreatedAt.Value);
QueueDepth: live?.QueueDepth ?? 0,
StuckCount: live?.StuckCount ?? 0,
ParkedCount: parkedCount,
DeliveredLastInterval: deliveredCount,
OldestPendingAge: live?.OldestCreatedAt is null ? null : now - live.OldestCreatedAt.Value);
}
/// <inheritdoc />
@@ -493,47 +480,31 @@ VALUES
{
var now = DateTimeOffset.UtcNow;
// One grouped conditional-aggregation query per scope: counts AND the oldest
// non-terminal CreatedAt (server-side MIN over a CASE, so the live queue is
// never materialized) computed in a single scan. Pre-filter to rows that
// contribute to at least one metric so a site with only fully-uncounted rows
// (e.g. Discarded, or out-of-window Delivered) does not surface as an
// all-zero row — preserving the prior union-of-metric-keys semantics.
var rows = await _context.Notifications
.Where(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying
|| n.Status == NotificationStatus.Parked
|| (n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince))
var live = await LiveQueue()
.GroupBy(n => n.SourceSiteId)
.Select(g => new
{
Site = g.Key,
QueueDepth = g.Count(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying),
StuckCount = g.Count(n => (n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying)
&& n.CreatedAt < stuckCutoff),
ParkedCount = g.Count(n => n.Status == NotificationStatus.Parked),
DeliveredLastInterval = g.Count(n => n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince),
OldestCreatedAt = g.Min(n => (n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying)
? (DateTimeOffset?)n.CreatedAt
: null),
})
.Select(g => new LiveRow(
g.Key,
g.Count(),
g.Count(n => n.CreatedAt < stuckCutoff),
g.Min(n => (DateTimeOffset?)n.CreatedAt)))
.ToListAsync(cancellationToken);
return rows
.OrderBy(r => r.Site, StringComparer.Ordinal)
.Select(r => new SiteNotificationKpiSnapshot(
SourceSiteId: r.Site,
QueueDepth: r.QueueDepth,
StuckCount: r.StuckCount,
ParkedCount: r.ParkedCount,
DeliveredLastInterval: r.DeliveredLastInterval,
OldestPendingAge: r.OldestCreatedAt is null ? null : now - r.OldestCreatedAt.Value))
.ToList();
var parked = await _context.Notifications
.Where(n => n.Status == NotificationStatus.Parked)
.GroupBy(n => n.SourceSiteId)
.Select(g => new CountRow(g.Key, g.Count()))
.ToListAsync(cancellationToken);
var delivered = await DeliveredSince(deliveredSince)
.GroupBy(n => n.SourceSiteId)
.Select(g => new CountRow(g.Key, g.Count()))
.ToListAsync(cancellationToken);
// A key appears only when it contributes to at least one leg, so a site with only
// uncounted rows (Discarded, out-of-window Delivered) never surfaces as an all-zero row.
return MergeLegs(live, parked, delivered, now,
(key, depth, stuck, parkedCount, deliveredCount, age) =>
new SiteNotificationKpiSnapshot(key, depth, stuck, parkedCount, deliveredCount, age));
}
/// <inheritdoc />
@@ -542,44 +513,83 @@ VALUES
{
var now = DateTimeOffset.UtcNow;
// Same single-scan grouped aggregation as ComputePerSiteKpisAsync, keyed by
// SourceNode. Rows with a NULL SourceNode (legacy / unstamped) are excluded —
// per-node KPIs are only meaningful when node identity is known.
var rows = await _context.Notifications
.Where(n => n.SourceNode != null
&& (n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying
|| n.Status == NotificationStatus.Parked
|| (n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince)))
// Same three legs as ComputePerSiteKpisAsync, keyed by SourceNode. Rows with a NULL
// SourceNode (legacy / unstamped) are excluded — per-node KPIs are only meaningful
// when node identity is known.
var live = await LiveQueue()
.Where(n => n.SourceNode != null)
.GroupBy(n => n.SourceNode!)
.Select(g => new
{
Node = g.Key,
QueueDepth = g.Count(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying),
StuckCount = g.Count(n => (n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying)
&& n.CreatedAt < stuckCutoff),
ParkedCount = g.Count(n => n.Status == NotificationStatus.Parked),
DeliveredLastInterval = g.Count(n => n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince),
OldestCreatedAt = g.Min(n => (n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying)
? (DateTimeOffset?)n.CreatedAt
: null),
})
.Select(g => new LiveRow(
g.Key,
g.Count(),
g.Count(n => n.CreatedAt < stuckCutoff),
g.Min(n => (DateTimeOffset?)n.CreatedAt)))
.ToListAsync(cancellationToken);
return rows
.OrderBy(r => r.Node, StringComparer.Ordinal)
.Select(r => new NodeNotificationKpiSnapshot(
SourceNode: r.Node,
QueueDepth: r.QueueDepth,
StuckCount: r.StuckCount,
ParkedCount: r.ParkedCount,
DeliveredLastInterval: r.DeliveredLastInterval,
OldestPendingAge: r.OldestCreatedAt is null ? null : now - r.OldestCreatedAt.Value))
var parked = await _context.Notifications
.Where(n => n.Status == NotificationStatus.Parked && n.SourceNode != null)
.GroupBy(n => n.SourceNode!)
.Select(g => new CountRow(g.Key, g.Count()))
.ToListAsync(cancellationToken);
var delivered = await DeliveredSince(deliveredSince)
.Where(n => n.SourceNode != null)
.GroupBy(n => n.SourceNode!)
.Select(g => new CountRow(g.Key, g.Count()))
.ToListAsync(cancellationToken);
return MergeLegs(live, parked, delivered, now,
(key, depth, stuck, parkedCount, deliveredCount, age) =>
new NodeNotificationKpiSnapshot(key, depth, stuck, parkedCount, deliveredCount, age));
}
/// <summary>The non-terminal queue: <c>Status IN (Pending, Retrying)</c>, two index seek ranges.</summary>
private IQueryable<Notification> LiveQueue() =>
_context.Notifications.Where(n => n.Status == NotificationStatus.Pending
|| n.Status == NotificationStatus.Retrying);
/// <summary>
/// Delivered rows inside the KPI interval. The literal <c>Status = 'Delivered'</c> plus the
/// <c>DeliveredAt</c> range matches the filtered <c>IX_Notifications_Delivered</c> index.
/// </summary>
private IQueryable<Notification> DeliveredSince(DateTimeOffset deliveredSince) =>
_context.Notifications.Where(n => n.Status == NotificationStatus.Delivered
&& n.DeliveredAt != null && n.DeliveredAt >= deliveredSince);
private sealed record LiveRow(string Key, int QueueDepth, int StuckCount, DateTimeOffset? OldestCreatedAt);
private sealed record CountRow(string Key, int Count);
/// <summary>
/// Joins the three per-key legs into one snapshot per key, ordered ordinally by key.
/// </summary>
private static List<TSnapshot> MergeLegs<TSnapshot>(
IReadOnlyList<LiveRow> live,
IReadOnlyList<CountRow> parked,
IReadOnlyList<CountRow> delivered,
DateTimeOffset now,
Func<string, int, int, int, int, TimeSpan?, TSnapshot> create)
{
var liveByKey = live.ToDictionary(r => r.Key, StringComparer.Ordinal);
var parkedByKey = parked.ToDictionary(r => r.Key, r => r.Count, StringComparer.Ordinal);
var deliveredByKey = delivered.ToDictionary(r => r.Key, r => r.Count, StringComparer.Ordinal);
return liveByKey.Keys
.Concat(parkedByKey.Keys)
.Concat(deliveredByKey.Keys)
.Distinct(StringComparer.Ordinal)
.OrderBy(k => k, StringComparer.Ordinal)
.Select(key =>
{
liveByKey.TryGetValue(key, out var l);
return create(
key,
l?.QueueDepth ?? 0,
l?.StuckCount ?? 0,
parkedByKey.GetValueOrDefault(key),
deliveredByKey.GetValueOrDefault(key),
l?.OldestCreatedAt is null ? null : now - l.OldestCreatedAt.Value);
})
.ToList();
}
@@ -89,7 +89,11 @@ public class EventLogPurgeService : BackgroundService
/// </summary>
private const double TablePageFillFactor = 0.78;
/// <summary>Number of indexes on <c>site_events</c> (timestamp, event_type, instance_id, severity).</summary>
/// <summary>
/// Number of secondary indexes on <c>site_events</c>: timestamp, instance_id,
/// (event_type, timestamp) and (severity, timestamp). The sampled <c>indexed_bytes</c>
/// charges every covered column once per index, hence <c>3 * octet_length(timestamp)</c>.
/// </summary>
private const int IndexedColumnCount = 4;
/// <summary>Per-entry bookkeeping in an index B-tree leaf: key-length varint, rowid and cell pointer.</summary>
@@ -680,8 +684,8 @@ public class EventLogPurgeService : BackgroundService
/// <para>
/// <b>The model.</b> Rows are sampled from both ends of the table (<see cref="SizeSampleRows"/>
/// from each — the head is what the oldest-first trim will actually delete, the tail catches a
/// workload whose event shape has drifted) to get an average payload width and an average
/// width across the four indexed columns. Table cost is then computed as whole pages —
/// workload whose event shape has drifted) to get an average payload width and the average
/// summed width of the columns each of the four indexes covers. Table cost is then computed as whole pages —
/// <c>ceil(rows / rowsPerPage) × pageSize</c> — rather than as a flat bytes-per-row rate,
/// because that is the term that dominates once rows approach half a page: rows too wide to
/// pack two-per-page waste the remainder, which a linear model underestimates by ~40 %.
@@ -730,7 +734,7 @@ public class EventLogPurgeService : BackgroundService
+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
+ octet_length(source) + octet_length(message)
+ COALESCE(octet_length(details), 0) AS payload_bytes,
octet_length(timestamp) + octet_length(event_type)
(3 * octet_length(timestamp)) + octet_length(event_type)
+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
AS indexed_bytes
FROM site_events LIMIT {SizeSampleRows}
@@ -742,7 +746,7 @@ public class EventLogPurgeService : BackgroundService
+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
+ octet_length(source) + octet_length(message)
+ COALESCE(octet_length(details), 0) AS payload_bytes,
octet_length(timestamp) + octet_length(event_type)
(3 * octet_length(timestamp)) + octet_length(event_type)
+ octet_length(severity) + COALESCE(octet_length(instance_id), 0)
AS indexed_bytes
FROM site_events ORDER BY rowid DESC LIMIT {SizeSampleRows}
@@ -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/
@@ -8,9 +8,11 @@ namespace ZB.MOM.WW.ScadaBridge.ConfigurationDatabase.Tests;
/// <summary>
/// Query-shape coverage for the Notification Outbox KPI snapshots (arch-review 04).
/// Each snapshot must be a single-query conditional aggregation with a
/// bounded oldest-pending — the old shape issued 5-7 sequential COUNT round trips
/// and materialized the whole live queue to find the oldest row.
/// Each snapshot is at most three status-equality legs (live queue, parked, delivered
/// in the interval) — the shape before arch-review 04 issued 5-7 sequential COUNT round
/// trips and materialized the whole live queue to find the oldest row, and the single
/// OR'd aggregation that replaced it scanned the clustered index once the table held
/// ~1 M Parked rows (#122).
/// </summary>
public class NotificationOutboxRepositoryKpiQueryShapeTests
{
@@ -25,10 +27,10 @@ public class NotificationOutboxRepositoryKpiQueryShapeTests
SourceNode = sourceNode,
};
/// <summary>Verifies that all three KPI snapshots issue at most two queries and bound the oldest-pending lookup.</summary>
/// <summary>Verifies that all three KPI snapshots issue at most three seekable legs and never OR the parked and live predicates.</summary>
/// <returns>A task that represents the asynchronous operation.</returns>
[Fact]
public async Task AllThreeKpiSnapshots_IssueAtMostTwoQueries_AndBoundTheOldestLookup()
public async Task AllThreeKpiSnapshots_IssueAtMostThreeStatusLegs_NeverOneOrdScan()
{
var counter = new SelectCountingInterceptor();
await using var ctx = SqliteTestHelper.CreateInMemoryContext(counter);
@@ -45,13 +47,12 @@ public class NotificationOutboxRepositoryKpiQueryShapeTests
var stuckCutoff = now.AddMinutes(-5);
var deliveredSince = now.AddMinutes(-60);
// Global: one aggregation query + one bounded oldest query.
// Global: three legs — live (counts + MIN), parked count, delivered count.
counter.Reset();
var global = await repo.ComputeKpisAsync(stuckCutoff, deliveredSince);
Assert.True(counter.Count <= 2,
$"ComputeKpisAsync issued {counter.Count} queries against Notifications; expected <= 2");
// The oldest lookup must be bounded (LIMIT/TOP), never a full non-terminal SELECT.
Assert.Contains(counter.Commands, sql => sql.Contains("LIMIT", StringComparison.OrdinalIgnoreCase));
Assert.True(counter.Count <= 3,
$"ComputeKpisAsync issued {counter.Count} queries against Notifications; expected <= 3");
AssertNoLegMixesParkedWithLive(counter.Commands);
// The aggregation must be PREDICATE-RESTRICTED, not an unrestricted
// scan. Every KPI here concerns the live queue, the parked backlog or the
// last delivery interval; historical Delivered/Discarded rows — which are
@@ -68,8 +69,9 @@ public class NotificationOutboxRepositoryKpiQueryShapeTests
// Per-site: a single grouped conditional-aggregation query (counts + MIN).
counter.Reset();
var perSite = await repo.ComputePerSiteKpisAsync(stuckCutoff, deliveredSince);
Assert.True(counter.Count <= 2,
$"ComputePerSiteKpisAsync issued {counter.Count} queries against Notifications; expected <= 2");
Assert.True(counter.Count <= 3,
$"ComputePerSiteKpisAsync issued {counter.Count} queries against Notifications; expected <= 3");
AssertNoLegMixesParkedWithLive(counter.Commands);
var siteA = Assert.Single(perSite);
Assert.Equal(3, siteA.QueueDepth);
Assert.NotNull(siteA.OldestPendingAge);
@@ -77,13 +79,49 @@ public class NotificationOutboxRepositoryKpiQueryShapeTests
// Per-node: same single grouped aggregation, keyed by SourceNode.
counter.Reset();
var perNode = await repo.ComputePerNodeKpisAsync(stuckCutoff, deliveredSince);
Assert.True(counter.Count <= 2,
$"ComputePerNodeKpisAsync issued {counter.Count} queries against Notifications; expected <= 2");
Assert.True(counter.Count <= 3,
$"ComputePerNodeKpisAsync issued {counter.Count} queries against Notifications; expected <= 3");
AssertNoLegMixesParkedWithLive(counter.Commands);
var nodeA = Assert.Single(perNode);
Assert.Equal(3, nodeA.QueueDepth);
Assert.NotNull(nodeA.OldestPendingAge);
}
/// <summary>Verifies the three legs merge per key and a key with only one leg still surfaces.</summary>
/// <returns>A task that represents the asynchronous operation.</returns>
[Fact]
public async Task PerSiteKpis_MergeLegsPerKey()
{
await using var ctx = SqliteTestHelper.CreateInMemoryContext(new SelectCountingInterceptor());
var now = DateTimeOffset.UtcNow;
ctx.Notifications.Add(NewNotification("plant-a", "node-a", NotificationStatus.Pending, now.AddMinutes(-30)));
ctx.Notifications.Add(NewNotification("plant-a", "node-a", NotificationStatus.Parked, now.AddMinutes(-30)));
ctx.Notifications.Add(NewNotification("plant-b", "node-b", NotificationStatus.Parked, now.AddMinutes(-30)));
ctx.Notifications.Add(NewNotification("plant-c", "node-a", NotificationStatus.Delivered, now.AddMinutes(-30), now.AddMinutes(-1)));
ctx.Notifications.Add(NewNotification("plant-d", "node-b", NotificationStatus.Discarded, now.AddMinutes(-30)));
await ctx.SaveChangesAsync();
var repo = new NotificationOutboxRepository(ctx);
var sites = await repo.ComputePerSiteKpisAsync(now.AddMinutes(-5), now.AddMinutes(-60));
Assert.Equal(new[] { "plant-a", "plant-b", "plant-c" }, sites.Select(s => s.SourceSiteId));
Assert.Equal((1, 1, 1, 0), (sites[0].QueueDepth, sites[0].StuckCount, sites[0].ParkedCount, sites[0].DeliveredLastInterval));
Assert.NotNull(sites[0].OldestPendingAge);
Assert.Equal((0, 1, 0), (sites[1].QueueDepth, sites[1].ParkedCount, sites[1].DeliveredLastInterval));
Assert.Null(sites[1].OldestPendingAge);
Assert.Equal((0, 0, 1), (sites[2].QueueDepth, sites[2].ParkedCount, sites[2].DeliveredLastInterval));
var global = await repo.ComputeKpisAsync(now.AddMinutes(-5), now.AddMinutes(-60));
Assert.Equal((1, 1, 2, 1), (global.QueueDepth, global.StuckCount, global.ParkedCount, global.DeliveredLastInterval));
}
// An OR across the parked and live predicates is what made SQL Server scan the
// clustered index on a large table (#122); each leg must name one status set.
private static void AssertNoLegMixesParkedWithLive(IEnumerable<string> commands) =>
Assert.All(commands, sql => Assert.False(
sql.Contains("'Parked'", StringComparison.Ordinal) && sql.Contains("'Pending'", StringComparison.Ordinal),
$"a KPI leg ORs Parked with the live queue:\n{sql}"));
/// <summary>
/// Records the text of every reader command touching the Notifications table so a
/// test can count the round trips a KPI snapshot makes and inspect their shape.
@@ -635,6 +635,65 @@ public class AuditLogRepositoryTests : IClassFixture<MsSqlMigrationFixture>
rows.Select(r => r.EventId).OrderBy(g => g).ToArray());
}
/// <summary>
/// Verifies that concurrent batch inserts do not deadlock each other (#124). Before the
/// probe was forced to seek, four writers of 256-row packets lost most packets to error
/// 1205 within seconds: the anti-semi-join scanned the EventId index and the writers
/// deadlocked on each other's S/IX page locks.
/// </summary>
/// <returns>A task that represents the asynchronous operation.</returns>
[SkippableFact]
public async Task InsertManyIfNotExistsAsync_ConcurrentWriters_DoNotDeadlock()
{
Skip.IfNot(_fixture.Available, _fixture.SkipReason);
const int writers = 4, packetsPerWriter = 15, packetSize = 256, seedPackets = 40;
var siteId = NewSiteId();
var baseTime = new DateTime(2026, 5, 22, 8, 0, 0, DateTimeKind.Utc);
// Every packet spans the SAME time window, as live telemetry from several sites
// does, so the writers' rows interleave on the same clustered pages. The seed
// grows the index first: the deadlock rate rose with table size (bench, 4
// writers: 3 victims in 65 packets on an empty table, 17 in 52 at 5 k rows).
List<IReadOnlyList<AuditEvent>> Packets(int count, int offset) =>
Enumerable.Range(offset, count)
.Select(p => (IReadOnlyList<AuditEvent>)Enumerable.Range(0, packetSize)
.Select(i => NewEvent(siteId, occurredAtUtc: baseTime.AddMilliseconds(i).AddTicks(p)))
.ToList())
.ToList();
foreach (var seed in Packets(seedPackets, 0))
{
await using var context = CreateContext();
await new AuditLogRepository(context).InsertManyIfNotExistsAsync(seed);
}
var packets = Packets(writers * packetsPerWriter, seedPackets);
var deadlocks = 0;
await Task.WhenAll(Enumerable.Range(0, writers).Select(w => Task.Run(async () =>
{
for (var p = w; p < packets.Count; p += writers)
{
try
{
await using var context = CreateContext();
await new AuditLogRepository(context).InsertManyIfNotExistsAsync(packets[p]);
}
catch (SqlException ex) when (ex.Number == 1205)
{
Interlocked.Increment(ref deadlocks);
}
}
})));
Assert.Equal(0, deadlocks);
await using var readContext = CreateContext();
var count = await readContext.Set<AuditLogRow>().CountAsync(e => e.SourceSiteId == siteId);
Assert.Equal((seedPackets + (writers * packetsPerWriter)) * packetSize, count);
}
/// <summary>Verifies that duplicate event ids within one batch collapse to a single row.</summary>
/// <returns>A task that represents the asynchronous operation.</returns>
[SkippableFact]
@@ -47,7 +47,7 @@ public class SchemaIndexTests : IDisposable
using var reader = cmd.ExecuteReader();
while (reader.Read()) indexes.Add(reader.GetString(0));
Assert.Contains("idx_events_severity", indexes);
Assert.Contains("idx_events_severity_timestamp", indexes);
}
/// <summary>Verifies that severity filtered query, when uses index, not full scan.</summary>
@@ -70,7 +70,75 @@ public class SchemaIndexTests : IDisposable
}
var planText = plan.ToString();
Assert.Contains("idx_events_severity", planText);
Assert.Contains("idx_events_severity_timestamp", planText);
Assert.DoesNotContain("SCAN site_events", planText);
}
/// <summary>
/// Verifies that the query service's own page shape — an equality filter, ordered by
/// (timestamp, id), limited to a page — is answered in index order rather than by
/// sorting every matching row (#123).
/// </summary>
/// <param name="column">The equality-filtered column.</param>
/// <param name="expectedIndex">The composite index expected to answer it.</param>
[Theory]
[InlineData("severity", "idx_events_severity_timestamp")]
[InlineData("event_type", "idx_events_type_timestamp")]
public void EqualityFilteredPage_ReadsInTimestampOrder_WithoutSortingEveryMatch(string column, string expectedIndex)
{
foreach (var window in new[] { "", "AND timestamp >= '2026-01-01' " })
{
using var cmd = _verifyConnection.CreateCommand();
cmd.CommandText =
$"EXPLAIN QUERY PLAN SELECT id FROM site_events WHERE {column} = 'x' {window}" +
"ORDER BY timestamp ASC, id ASC LIMIT 501";
var plan = new System.Text.StringBuilder();
using var reader = cmd.ExecuteReader();
while (reader.Read())
plan.Append(reader.GetString(reader.GetOrdinal("detail"))).Append('\n');
var planText = plan.ToString();
Assert.Contains(expectedIndex, planText);
// "USE TEMP B-TREE FOR LAST TERM OF ORDER BY" (ties on timestamp, broken by id)
// is fine; a whole-ORDER-BY temp b-tree means every match is read and sorted.
Assert.DoesNotContain("USE TEMP B-TREE FOR ORDER BY", planText);
}
}
/// <summary>Verifies that a pre-#123 file loses its single-column type/severity indexes on the next schema apply.</summary>
[Fact]
public void Apply_OnAPre123File_ReplacesTheSingleColumnIndexes()
{
using var connection = new SqliteConnection("Data Source=:memory:");
connection.Open();
using (var cmd = connection.CreateCommand())
{
cmd.CommandText = """
CREATE TABLE site_events (id TEXT NOT NULL PRIMARY KEY, timestamp TEXT NOT NULL,
event_type TEXT NOT NULL, severity TEXT NOT NULL, instance_id TEXT,
source TEXT NOT NULL, message TEXT NOT NULL, details TEXT);
CREATE INDEX idx_events_timestamp ON site_events(timestamp);
CREATE INDEX idx_events_type ON site_events(event_type);
CREATE INDEX idx_events_instance ON site_events(instance_id);
CREATE INDEX idx_events_severity ON site_events(severity);
INSERT INTO site_events VALUES ('a', '2026-01-01T00:00:00.0000000+00:00', 'alarm', 'Info', NULL, 's', 'm', NULL);
""";
cmd.ExecuteNonQuery();
}
SiteEventLogSchema.Apply(connection);
using var list = connection.CreateCommand();
list.CommandText = "SELECT name FROM pragma_index_list('site_events') WHERE origin = 'c' ORDER BY name";
var indexes = new List<string>();
using (var reader = list.ExecuteReader())
while (reader.Read()) indexes.Add(reader.GetString(0));
Assert.Equal(
["idx_events_instance", "idx_events_severity_timestamp", "idx_events_timestamp", "idx_events_type_timestamp"],
indexes);
using var count = connection.CreateCommand();
count.CommandText = "SELECT COUNT(*) FROM site_events INDEXED BY idx_events_severity_timestamp WHERE severity = 'Info'";
Assert.Equal(1L, (long)count.ExecuteScalar()!);
}
}
@@ -121,7 +121,7 @@ public class SiteEventLogSchemaTests
while (reader.Read()) indexes.Add(reader.GetString(0));
Assert.Equal(
["idx_events_instance", "idx_events_severity", "idx_events_timestamp", "idx_events_type"],
["idx_events_instance", "idx_events_severity_timestamp", "idx_events_timestamp", "idx_events_type_timestamp"],
indexes);
}
@@ -76,35 +76,36 @@ public class SiteEventsSchemaCalibrationTests
indexes.SequenceEqual(
[
"idx_events_instance",
"idx_events_severity",
"idx_events_severity_timestamp",
"idx_events_timestamp",
"idx_events_type",
"idx_events_type_timestamp",
"sqlite_autoindex_site_events_1",
]),
$"{RecalibrationNotice} Actual indexes: {string.Join(", ", indexes)}");
}
/// <summary>Verifies that each index covers exactly the column the sampler sums.</summary>
/// <summary>Verifies that each index covers exactly the columns the sampler sums for it.</summary>
/// <param name="indexName">The index name.</param>
/// <param name="expectedColumn">The column the index is expected to cover.</param>
/// <param name="expectedColumns">The columns the index is expected to cover, comma-separated, in key order.</param>
[Theory]
[InlineData("idx_events_timestamp", "timestamp")]
[InlineData("idx_events_type", "event_type")]
[InlineData("idx_events_instance", "instance_id")]
[InlineData("idx_events_severity", "severity")]
public void EachIndex_CoversExactlyTheColumnTheSamplerSums(string indexName, string expectedColumn)
[InlineData("idx_events_type_timestamp", "event_type,timestamp")]
[InlineData("idx_events_severity_timestamp", "severity,timestamp")]
public void EachIndex_CoversExactlyTheColumnsTheSamplerSums(string indexName, string expectedColumns)
{
// The sampler's indexed_bytes expression sums octet_length(timestamp) +
// octet_length(event_type) + octet_length(severity) + octet_length(instance_id) —
// one column per index. Widening an index to a composite (or re-pointing it) would
// change the real entry width without changing what is sampled.
// The sampler's indexed_bytes expression sums 3 * octet_length(timestamp) +
// octet_length(event_type) + octet_length(severity) + octet_length(instance_id):
// timestamp once for its own index and once for each of the two composites (#123).
// Widening or re-pointing an index changes the real entry width without changing
// what is sampled.
using var connection = OpenWithSchema();
var columns = ReadStrings(
connection, $"SELECT name FROM pragma_index_info('{indexName}')");
connection, $"SELECT name FROM pragma_index_info('{indexName}') ORDER BY seqno");
Assert.True(
columns.SequenceEqual([expectedColumn]),
columns.SequenceEqual(expectedColumns.Split(',')),
$"{RecalibrationNotice} Index {indexName} covers: {string.Join(", ", columns)}");
}
}