Task 1 of the Phase 2 plan. The gate stops the plan, but not for the reason it anticipated: oplog sizing is fine and D6 is resolved. BLOCKER: the Phase 1 consolidated LocalDb (site-localdb.db) throws SQLite Error 10 'disk I/O error' on essentially every write on the ACTIVE node under sustained load — site_events, OperationTracking and the audit telemetry paths all fail, and site event logging silently drops events. Isolated to the load (not the node, not host-side observation) by failing over between nodes, and to LocalDb specifically (legacy store-and-forward.db / scadabridge.db in the same bind-mounted directory take zero errors under identical load). Phase 2 would register 8 more tables into that database — including the two highest-volume ones — while deleting the bespoke mechanisms that currently carry them. Must be root-caused first. Also recorded: D6's premise corrected (largest known production config_json is ~60-70 KB, not >128 KB — but MaxBatchSize 500 is still unsafe, use 16); D4's premise corrected (alarm writes are bounded by per-SourceReference coalescing at a 100 ms flush); sf_messages has a hard 50 rows/sec structural ceiling; and exceeding the oplog caps is a graceful snapshot-resync, not a failure. Claude-Session: https://claude.ai/code/session_01BL2Vu1ESDQ9SCN4gVKkdts
14 KiB
LocalDb Phase 2 — rig soak findings
Run date: 2026-07-19 / 2026-07-20 (UTC) · Rig: local 8-node docker cluster, site-a pair
Task: Task 1 of 2026-07-19-localdb-adoption-phase2.md
GATE VERDICT: STOP — do not proceed to Task 3.
Not for the reason the plan anticipated. Oplog sizing is fine and D6 is resolved. The soak instead surfaced a pre-existing Phase 1 defect: the consolidated LocalDb database (
site-localdb.db) throwsSQLite Error 10: 'disk I/O error'on essentially every write on the active node under sustained concurrent load. Phase 2 moves eight more tables — including the two highest-volume ones — into exactly that database. See Finding 1.
1. Method as actually executed
The plan's method needed four corrections before it would run. Recorded here so the next run does not rediscover them.
| Plan said | Reality |
|---|---|
docker exec … curl -s localhost:8084/metrics |
No curl in the aspnet:10.0 image. Use a sidecar sharing the container netns: docker run --rm --network container:scadabridge-site-a-a curlimages/curl:latest -s localhost:8084/metrics |
Sample with host-side sqlite3 against the bind mounts |
Unsafe under live writes — SQLite's -shm shared-memory index is not reliable across the Docker VM boundary. Ultimately not the cause of Finding 1 (proven below), but it should not be done against a database the container is actively writing. Copy the files first, or read counters from /metrics. |
| Drive alarm churn on a deployed instance | Not possible on this rig. infra/mssql/seed-config.sql seeds zero TemplateNativeAlarmSources, opc-plc runs with no alarm flags, and no simulator or harness exists anywhere in the repo. native_alarm_state stayed at 0 rows throughout. Bounded analytically instead — see Finding 3. |
Drive S&F churn via template 4's TestExternalSystem script |
Template 4 exists after a reseed but is not deployable (34 pre-deployment validation errors: 30 ConnectionBinding + 4 ScriptCompilation). A purpose-built SoakGenerator template was used instead — see below. |
The generator that worked
ExternalSystem.Call does not buffer to store-and-forward in practice; ExternalSystem.CachedCall
is the buffering surface. This is the single most important operational detail for reproducing
S&F load.
- Template
SoakGenerator(id 2021), oneIntervalscript at{"intervalMs":5000}:var parms = new Dictionary<string, object?> { ["a"] = 2, ["b"] = 3 }; await ExternalSystem.CachedCall("Test REST API", "Add", parms); - No attributes, no compositions, no connection bindings — deliberately, so it deploys cleanly.
ExternalSystemDefinitionsid 1 repointed tohttp://127.0.0.1:9(discard port → connection refused → classified transient → buffered).- 4 instances (
soakgen-1..4) deployed to site-a.
Sustained rate observed: ~2.9 HTTP attempts/sec (688–864 connection-refused per 4 min).
Two rig-tooling bugs found and fixed en route
docker/seed-sites.shseeded stale role names —Design/Deploymentinstead of the canonicalDesigner/Deployer(src/ZB.MOM.WW.ScadaBridge.Security/Roles.cs:46-47). Every Designer/Deployer-gated management command failedUNAUTHORIZEDon a freshly reseeded rig, includingseed-sites.sh's own trailingdeploy artifactsandreseed.shstage 6d. Fixed (commitcf46e596).infra/mssql/setup.sqlnever executes. It is mounted into/docker-entrypoint-initdb.d/, a convention the officialmcr.microsoft.com/mssql/serverimage does not implement. Afterreseed.shdrops the volume (docker compose down -v), nothing recreatesScadaBridgeConfigor thescadabridge_applogin, soreseed.shhangs forever on its "Waiting for setup.sql to create ScadaBridgeConfig" poll. Worked around by applying the three init scripts by hand. NOT yet fixed in the repo.
Finding 1 (BLOCKER)
The Phase 1 consolidated LocalDb fails under sustained write load on the active node
site-localdb.db throws SQLite Error 10: 'disk I/O error' on essentially every write once the
active node is under concurrent load. Both Phase 1 tables and the audit telemetry paths are
affected.
Representative stacks (docker logs scadabridge-site-a-b):
Microsoft.Data.Sqlite.SqliteException (0x80004005): SQLite Error 10: 'disk I/O error'.
at ZB.MOM.WW.ScadaBridge.SiteEventLogging.SiteEventLogger.ProcessWriteQueueAsync()
SiteEventLogger.cs:line 221/236
Microsoft.Data.Sqlite.SqliteException (0x80004005): SQLite Error 10: 'disk I/O error'.
at ZB.MOM.WW.ScadaBridge.SiteRuntime.Tracking.OperationTrackingStore.RecordEnqueueAsync(...)
OperationTrackingStore.cs:line 137
at ...CachedCallTelemetryForwarder.TryEmitTrackingAsync(...) line 148
User-visible symptom: [ERR] Failed to record event: script from ScriptActor:SoakCall — site
event logging is silently dropping events on the floor under load.
It follows the load, not the node, not the observer
The failure was isolated by moving the load between nodes:
| Node | Role | Under load | disk I/O error in 4 min |
|---|---|---|---|
| site-a-a | active | yes | 2 175 |
| site-a-a | standby (after restart) | no | 0 |
| site-a-b | standby | no | 0 |
| site-a-b | active (after failover) | yes | 4 391 |
It is LocalDb-specific, not the filesystem
The decisive control. Under identical load, on the same node, in the same bind-mounted directory, counting error-stack frames over 3 minutes:
| Store | Backing file | Errors |
|---|---|---|
OperationTrackingStore |
site-localdb.db (LocalDb) |
13 044 |
SiteAuditTelemetryActor |
site-localdb.db (LocalDb) |
4 350 |
SiteEventLogger |
site-localdb.db (LocalDb) |
900 |
CachedCallTelemetryForwarder |
site-localdb.db (LocalDb) |
162 |
StoreAndForwardStorage |
store-and-forward.db (legacy) |
0 |
SiteStorageService |
scadabridge.db (legacy) |
0 |
Ordinary SQLite on the same bind mount is completely healthy. Only the LocalDb-managed database fails.
Ruling out the observer
Onset (04:56:37) was one second after a host-side sqlite3 sample (04:56:36), which made
observer-induced -shm corruption the leading hypothesis. It is excluded: after node-a was
restarted (fresh open, recovered shm) and the load failed over to node-b, node-b began erroring
at a higher rate while no host process touched its files, and node-a — whose files had been
sampled — went to zero once it stopped carrying load. The variable that tracks the errors is
load, not host access.
Secondary defect, same area
[ERROR][akka://scadabridge/user/site-audit-telemetry] There is no active ActorContext,
this is most likely due to use of async operations from within this actor.
Cause: System.NotSupportedException
SiteAuditTelemetryActor is closing over ActorContext across an await. Likely a
contributing cause rather than a separate issue — it is in the same write path — but it is a
real bug on its own terms.
Why this blocks Phase 2
Phase 2 registers eight further tables into this database, including native_alarm_state
(the highest-volume table in either DB) and sf_messages. It also deletes the bespoke
mechanisms (SiteReplicationActor, ReplicationService) that currently carry that data
independently of LocalDb. Cutting over onto a store that cannot absorb the current write
load — and doing so in the same commit that removes the fallback — would convert a logging
defect into site-wide config and buffer loss.
This is a Phase 1 defect. It must be root-caused and fixed before Phase 2's Task 3.
Finding 2 — D6 resolved: no stop condition, but MaxBatchSize must be lowered
The plan asserts deployed_configurations.config_json is "documented to exceed 128 KB per row."
That misreads the source. docs/known-issues/2026-06-26-deploy-config-exceeds-akka-frame-size.md
says the escaped Akka envelope exceeded the 128 KB frame, and that the default serializer
double-escapes the payload, so "the raw flattened JSON only needs to be ~60-70 KB to blow the
128 KB frame."
So the largest known real production config_json is on the order of 60–70 KB.
Measured on the rig (4 deployed configs): max 715 B, avg 714 B — trivially small, as the plan
predicted, hence the production figure above is the one to size against. (A direct measurement
against wonder was attempted; wonder-app-vd03.zmr.zimmer.com resolves over the VPN but the
servecli SSH service on :2222 refuses connections, so the box was unreachable.)
Verdict: no stop condition. Nothing approaches the 4 MB single-row ceiling.
But the batching risk is real. Batching is row-count-only (MaxBatchSize default 500),
and neither side configures gRPC message limits, so the 4 MB default receive cap applies:
500 rows × 70 KB ≈ 35 MB ≫ 4 MB → poison batch, stream wedged
Recommended for Task 19:
LocalDb:Replication:MaxBatchSize = 16
16 × 128 KB = 2 MB — 2× headroom on row size over the known worst case, and 2× headroom
against the 4 MB cap.
Finding 3 — D4 corrected: alarm write rate is bounded, not unbounded
The plan calls native_alarm_state "unbounded by design." It is not.
NativeAlarmActor.MarkDirtyUpsert (NativeAlarmActor.cs:473-502) coalesces into a dictionary
keyed by SourceReference and flushes on a timer (_persistFlushInterval, default
100 ms). One flush writes at most one row per distinct source reference, regardless of how
many transitions occurred in that window.
worst-case rows/sec = distinct_source_refs × 10
An alarm storm on N sources costs N rows per 100 ms flush, not N × transition-rate. This makes the table analytically sizeable without a generator — which matters, because this rig cannot produce alarm load at all (see §1).
Not empirically validated. native_alarm_state held 0 rows for the entire run.
Finding 4 — sf_messages has a hard structural ceiling of 50 rows/sec
Confirmed by code rather than measurement, which is stronger here. The retry sweep takes at most
SweepBatchLimit messages every RetryTimerInterval, and each failed attempt is one UPDATE
incrementing retry_count:
SweepBatchLimit (500) ÷ RetryTimerInterval (10 s) = 50 row-writes/sec, hard ceiling
This confirms the plan's "~50 row-writes/sec worst case" — and it is a ceiling, not an estimate.
DefaultMaxRetries = 50 at DefaultRetryInterval = 30 s bounds each message to 50 updates over
25 minutes.
Observed during the run: ~2.9 attempts/sec, far below the ceiling. Row counts could not be sampled reliably (see §1) and the run was cut short by Finding 1.
Finding 5 — exceeding the oplog caps is a graceful degradation, not a failure
The plan's Task 1 step 7 treats "the shared oplog cannot absorb this write profile" as a hard stop requiring the keyed-instances escape hatch. It is much weaker than that.
OplogStore.EnforceCapsAsync (OplogStore.cs:109-138) prunes to the ceiling and sets
needs_snapshot; MaintenanceBackgroundService.cs:57 logs "Oplog backlog/age caps exceeded:
pruned to the ceiling and flagged needs_snapshot — the peer must snapshot-resync."
SyncSession.ComputeSnapshotRequiredAsync (:413-415) then forces a snapshot resync.
So overrunning the caps costs a full snapshot resync, not data loss and not a wedged stream.
The caps therefore express "how long may a peer be absent before it needs a full resync", and
should be sized to the longest tolerable peer outage rather than treated as a correctness
boundary. In healthy two-node operation the oplog drains continuously — localdb_oplog_depth
read 0 throughout.
Provisional cap recommendation (Task 19)
Sized for a ~3-hour peer outage at a conservative 100 rows/sec aggregate, pending re-measurement after Finding 1 is fixed:
LocalDb:Replication:MaxOplogRows = 1000000 # default; ≈2.8 h at 100 rows/s
LocalDb:Replication:MaxOplogAge = 3.00:00:00
LocalDb:Replication:MaxBatchSize = 16 # Finding 2 — this one is NOT optional
Only MaxBatchSize is firmly evidence-backed. The other two rest on an assumed aggregate write
rate that this run could not measure.
2. What still owes measurement
Carry into the re-run once Finding 1 is fixed:
- Sustained
sf_messagesrows/sec under a saturating generator (needs many more instances or a shorter interval to approach the 50/s ceiling). - Any
native_alarm_statemeasurement at all — requires building alarm-source seeding plus an A&C-capable server. TheOpcUaAlarmLiveSmokeTestspassed, so the rig's opc-plc does answer ConditionRefresh with aSnapshotComplete; the missing piece is ongoing transitions and a seededTemplateNativeAlarmSource. (The test's own doc comment claiming the simulator "does not reliably expose A&C" is stale.) - A production-representative
config_jsonfrom wonder, to replace the ~60–70 KB inference. - The empirical oplog drain-under-churn check — Task 20 evidence item 10.
3. Rig state left behind
- Fully reseeded (central config volume dropped and replayed; site SQLite state wiped by
reseed.shstage 2). ExternalSystemDefinitionsid 1 is repointed tohttp://127.0.0.1:9— restore tohttp://scadabridge-restapi:5200before using the rig for anything else.- Template
SoakGenerator(2021) and instancessoakgen-1..4(ids 5–8) remain deployed on site-a and are still generating load. Undeploy or delete them before the Task 20 live gate. LdapGroupMappingscorrected in the live DB to the canonical role names.