fix(webapp,clickhouse): stop invalid customer queries alerting, and isolate Sentry scope per request - #4372
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WalkthroughOpenTelemetry now installs SentryContextManager for enabled and disabled tracing, preserving isolation scopes across concurrent requests. New tests cover scope leakage and isolation behavior. ClickHouse query methods classify quota errors as warnings, accept additional logging fields, and retain errors for other failures. TSQL execution includes query metadata in logs and distinguishes invalid queries from execution failures. Change log entries document both behavior updates. 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
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⚠️ Outside diff range comments (2)
internal-packages/clickhouse/src/client/client.ts (2)
269-273: 🗄️ Data Integrity & Integration | 🟡 Minor | ⚡ Quick winPropagate
logFieldsthrough everyqueryWithStatsfailure log.
req.logFieldsis only merged in the ClickHouse request-error branch. Parameter-validation and result-schema failures still omit it, so callers lose the originating query metadata despite the new field’s documentation and PR contract.Suggested fix
this.logger.error("Error parsing query params", { + ...req.logFields, name: req.name, error: validParams.error, query: req.query, params, queryId, }); this.logger.error("Error parsing clickhouse query result", { + ...req.logFields, name: req.name, error: parsed.error, query: req.query, params, queryId, });Also applies to: 334-347
474-486: 🎯 Functional Correctness | 🟡 Minor | ⚡ Quick winClassify errors raised while buffering
queryFastresults.This catch only covers
this.client.query; the subsequentresultSet.stream()loop at Lines 513-533 runs outside it. A quota error raised mid-stream therefore bypasses the warning classification,recordClickhouseError, and error logging entirely. Wrap that loop in the same shared error-handling path used byqueryFastStream.
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📒 Files selected for processing (2)
internal-packages/clickhouse/src/client/client.tsinternal-packages/clickhouse/src/client/tsql.ts
🚧 Files skipped from review as they are similar to previous changes (1)
- internal-packages/clickhouse/src/client/tsql.ts
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📓 Path-based instructions (4)
**/*.{ts,tsx}
📄 CodeRabbit inference engine (.github/copilot-instructions.md)
**/*.{ts,tsx}: Use types over interfaces for TypeScript
Avoid using enums; prefer string unions or const objects instead
**/*.{ts,tsx}: Prefer static imports over dynamicimport(); use dynamic imports only for unresolvable circular dependencies, genuine performance code splitting, or conditional runtime loading.
Import Trigger.dev tasks from@trigger.dev/sdk; never use@trigger.dev/sdk/v3or deprecatedclient.defineJob.
Add agentcrumbs while writing code using approved namespaces; mark lines with//@Crumbsor blocks with `// `#region` `@crumbs, and strip them before merging.
Files:
internal-packages/clickhouse/src/client/client.ts
**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (.github/copilot-instructions.md)
Use function declarations instead of default exports
Files:
internal-packages/clickhouse/src/client/client.ts
**/*.ts
📄 CodeRabbit inference engine (.cursor/rules/otel-metrics.mdc)
**/*.ts: When creating or editing OTEL metrics (counters, histograms, gauges), ensure metric attributes have low cardinality by using only enums, booleans, bounded error codes, or bounded shard IDs
Do not use high-cardinality attributes in OTEL metrics such as UUIDs/IDs (envId, userId, runId, projectId, organizationId), unbounded integers (itemCount, batchSize, retryCount), timestamps (createdAt, startTime), or free-form strings (errorMessage, taskName, queueName)
When exporting OTEL metrics via OTLP to Prometheus, be aware that the exporter automatically adds unit suffixes to metric names (e.g., 'my_duration_ms' becomes 'my_duration_ms_milliseconds', 'my_counter' becomes 'my_counter_total'). Account for these transformations when writing Grafana dashboards or Prometheus queries
Files:
internal-packages/clickhouse/src/client/client.ts
internal-packages/**/*.{ts,tsx}
📄 CodeRabbit inference engine (AGENTS.md)
For internal packages, use
typecheckfor verification and never usebuildas the correctness check.
Files:
internal-packages/clickhouse/src/client/client.ts
🧠 Learnings (10)
📚 Learning: 2026-03-22T13:26:12.060Z
Learnt from: ericallam
Repo: triggerdotdev/trigger.dev PR: 3244
File: apps/webapp/app/components/code/TextEditor.tsx:81-86
Timestamp: 2026-03-22T13:26:12.060Z
Learning: In the triggerdotdev/trigger.dev codebase, do not flag `navigator.clipboard.writeText(...)` calls for `missing-await`/`unhandled-promise` issues. These clipboard writes are intentionally invoked without `await` and without `catch` handlers across the project; keep that behavior consistent when reviewing TypeScript/TSX files (e.g., usages like in `apps/webapp/app/components/code/TextEditor.tsx`).
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-03-22T19:24:14.403Z
Learnt from: matt-aitken
Repo: triggerdotdev/trigger.dev PR: 3187
File: apps/webapp/app/v3/services/alerts/deliverErrorGroupAlert.server.ts:200-204
Timestamp: 2026-03-22T19:24:14.403Z
Learning: In the triggerdotdev/trigger.dev codebase, webhook URLs are not expected to contain embedded credentials/secrets (e.g., fields like `ProjectAlertWebhookProperties` should only hold credential-free webhook endpoints). During code review, if you see logging or inclusion of raw webhook URLs in error messages, do not automatically treat it as a credential-leak/secrets-in-logs issue by default—first verify the URL does not contain embedded credentials (for example, no username/password in the URL, no obvious secret/token query params or fragments). If the URL is credential-free per this project’s conventions, allow the logging.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-05-18T08:21:27.694Z
Learnt from: d-cs
Repo: triggerdotdev/trigger.dev PR: 3632
File: apps/webapp/sentry.server.ts:4-21
Timestamp: 2026-05-18T08:21:27.694Z
Learning: When handling Prisma error P1001 ("Can't reach database server") in TypeScript, don’t assume a single error shape. Prisma can surface P1001 via two different error classes/fields: `PrismaClientKnownRequestError` exposes it as `err.code === "P1001"` (common during mid-query connection drops), while `PrismaClientInitializationError` exposes it as `err.errorCode === "P1001"` (common on client startup failure). Therefore, predicates should use `err.code === "P1001" || err.errorCode === "P1001"`. Do not flag `err.code === "P1001"` as “unreachable/never matches,” as it is expected in production.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-05-18T08:21:27.694Z
Learnt from: d-cs
Repo: triggerdotdev/trigger.dev PR: 3632
File: apps/webapp/sentry.server.ts:4-21
Timestamp: 2026-05-18T08:21:27.694Z
Learning: When handling Prisma errors for P1001 ("Can't reach database server"), do not assume it only appears under a single property name. Prisma may surface P1001 via either `PrismaClientKnownRequestError` (`err.code === "P1001"`, e.g., mid-query connection drops) or `PrismaClientInitializationError` (`err.errorCode === "P1001"`, e.g., client startup connection failure). To reliably detect the condition, check `err.code === "P1001" || err.errorCode === "P1001"`, and avoid review rules that would incorrectly flag `err.code === "P1001"` as unreachable/never-matching.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-06-13T19:53:13.759Z
Learnt from: ericallam
Repo: triggerdotdev/trigger.dev PR: 3937
File: packages/trigger-sdk/skills/realtime-and-frontend/SKILL.md:258-260
Timestamp: 2026-06-13T19:53:13.759Z
Learning: When reviewing code that uses `trigger.dev/react-hooks`’s `useRealtimeRun`, preserve the call signature where the first argument is the full realtime handle object (not `handle.id`). This is intentional to maintain type-safety and is consistent with the official docs; do not suggest changing the first argument from the handle object to `handle.id`.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-06-17T17:13:49.929Z
Learnt from: matt-aitken
Repo: triggerdotdev/trigger.dev PR: 3948
File: apps/webapp/app/routes/_app.orgs.$organizationSlug.projects.$projectParam.env.$envParam.bulk-actions.$bulkActionParam/route.tsx:48-62
Timestamp: 2026-06-17T17:13:49.929Z
Learning: In triggerdotdev/trigger.dev, within `dashboardLoader`/`dashboardAction` (or similar context resolver code) whenever you resolve an organization ID from an organization slug for RBAC/enterprise authorization scope, always read from the primary Prisma client (`prisma`), not `$replica`. Using `$replica` can hit replica-lag and cause the RBAC lookup/authorization to run without the correct org scope (bypassing intended role enforcement). Implement the slug→org lookup with `prisma.organization.findFirst(...)` (or equivalent primary-client query) and add an inline comment documenting why the primary client is required (replica lag could lead to unscoped RBAC checks).
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-06-23T13:04:21.413Z
Learnt from: carderne
Repo: triggerdotdev/trigger.dev PR: 4023
File: apps/webapp/app/services/upsertBranch.server.ts:14-18
Timestamp: 2026-06-23T13:04:21.413Z
Learning: In TypeScript, it’s valid to `import { type X }` and then use `typeof X` in a type-only position, e.g. `type Alias = z.infer<typeof X>`. The `type` modifier suppresses the runtime import, but the type checker still has the full exported type so `z.infer<typeof X>` can resolve correctly. In code reviews, don’t flag this as a TypeScript compile error as long as `typeof X` is used in a type context (e.g., with `z.infer`, `type` aliases, generics), not as a runtime value.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-06-04T18:16:35.386Z
Learnt from: nicktrn
Repo: triggerdotdev/trigger.dev PR: 3836
File: apps/supervisor/src/backpressure/backpressureMonitor.ts:3-5
Timestamp: 2026-06-04T18:16:35.386Z
Learning: When reviewing TypeScript in this repo, apply the rule “prefer type aliases over interfaces” only to data/object shapes and union/intersection type modeling. If an interface is being used as a behavioral contract for collaborators to implement (e.g., method-shape interfaces that define required behavior, such as `BackpressureLogger` / `BackpressureSignalSource` in `apps/supervisor/src/backpressure/backpressureMonitor.ts`), keep it as an `interface` and do not flag it as a type-alias-vs-interface violation.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-06-09T17:58:04.699Z
Learnt from: 0ski
Repo: triggerdotdev/trigger.dev PR: 3879
File: apps/webapp/app/models/vercelIntegration.server.ts:619-630
Timestamp: 2026-06-09T17:58:04.699Z
Learning: In this codebase, outbound raw `fetch` calls should typically rely on Node/undici’s default request timeout (about ~300s) rather than adding a per-call `AbortController` + `setTimeout` wrapper inside individual functions (e.g. in files like `apps/webapp/app/models/vercelIntegration.server.ts`). During code review, do not flag the absence of a per-call timeout on a single `fetch` as an issue; if per-call timeouts are needed, they should be implemented via a codebase-wide convention (e.g., a shared fetch wrapper or documented pattern) rather than ad-hoc per-function changes.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
📚 Learning: 2026-07-03T09:41:46.517Z
Learnt from: ericallam
Repo: triggerdotdev/trigger.dev PR: 4131
File: internal-packages/metrics-pipeline/src/types.ts:0-0
Timestamp: 2026-07-03T09:41:46.517Z
Learning: When generating ClickHouse `UInt64`-backed ordering keys from epoch-derived values (e.g., `ms` and `seq`), avoid JS `number` arithmetic that can exceed the safe-integer range (2^53). Compute the key using `BigInt` (e.g., `BigInt(ms) * 100000n + BigInt(seq)`) and return it as a `string` (via `.toString()`) to preserve exact ordering. Ensure the corresponding Zod schema for the raw input (e.g., `QueueMetricsRawV1Input.order_key`) accepts/preserves this exact value (typically via `z.union([z.string(), z.number()]).optional()`), so callers can assign the computed value directly into the ClickHouse `UInt64` column without precision loss or misordering.
Applied to files:
internal-packages/clickhouse/src/client/client.ts
🔇 Additional comments (3)
internal-packages/clickhouse/src/client/client.ts (3)
174-186: LGTM!
626-638: LGTM!
1034-1056: 🎯 Functional CorrectnessNo change needed. The quota error set covers memory, timeout/slow query, row, byte, combined row/byte, and cancelled query limits, matching the ClickHouse errors this package’s error type maps use.
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…solate Sentry scope per request Three fixes to how query failures are reported. Invalid TSQL is a caller mistake, not ours: executeTSQL now logs ExposedTSQLError at warn and reserves error for InternalTSQLError and unanticipated exceptions, so a bad column name no longer raises an alert. The route above it already returned 400 and logged at warn; the layer below was overriding that decision. ClickHouse rejections that come from a query asking for too much (memory ceiling, timeout, row/byte caps) drop to warn as well. Those are decided in the client, which is the only place holding the parsed ClickHouseError type, and queryWithStats gained a logFields option so a failing query is recorded with the TSQL that generated it rather than the generated SQL alone. Sentry.init runs with skipOpenTelemetrySetup because we register our own OTel pipeline, which also skipped installing SentryContextManager. withIsolationScope only marks the context and relies on that manager to fork, so without it every request shared one global isolation scope and events were attributed to whichever request wrote last. The tracer now registers it, including on the path where tracing is disabled and register() was never called.
…log fields Spread caller-supplied logFields before the canonical ones so a caller cannot overwrite error, query, params, or queryId in a failure log. queryFastStream classifies quota failures the same way the buffered query paths do; a limit hit partway through a stream is still the caller asking for too much. The supplemental EXPLAIN queries carry the originating TSQL too.
The webapp server bundle is ESM and @sentry/remix is CommonJS. Node's loader derives named exports by static analysis, and it does not see SentryContextManager because that name is re-exported transitively from @sentry/node-core. A named import type-checks and bundles, then throws SyntaxError when the server boots. The property is reachable on the default export, which for a CommonJS module is module.exports. Vitest resolves the named import fine, so this only shows up when the built server actually starts.
…not ours The quota list was built on the wrong axis. It classified by resource limit, but production shows the volume is in plain SQL mistakes: one error group alone, a missing GROUP BY on the public query API, accounts for over a million events across hundreds of users, and it stayed at error level because its code is not a limit. ClickHouse rejections that mean the SQL itself is wrong now log at warn, but only when the caller wrote that SQL. The same rejection on TRQL we generated is our bug and keeps alerting, so the decision is gated on a userAuthoredQuery flag set by the public query API and the query editor. Generated dashboard tiles deliberately do not set it. Drops QUERY_WAS_CANCELLED from the limit list. It was there on the reasoning that client disconnects would be noisy; it has not fired once in the last fourteen days, so it was speculation rather than evidence.
Downgrading quota errors regardless of who wrote the SQL was wrong. An internal analytics query hitting the memory ceiling or a timeout is a runaway query of ours, and it was losing the alert it used to raise. Both downgrades are now gated on the same condition: ClickHouse rejected SQL that the caller wrote. Anything on SQL we generated stays at error, which also makes query, queryFast and the streaming path plain error logs again, since none of them can carry caller-written SQL.
The execution layer only downgrades when the caller wrote the SQL, but the compile-time catch downgraded every ExposedTSQLError regardless. A compile failure on TRQL we generated is our bug, and it was logging at warn. Whether an error is safe to show someone is a separate question from whose mistake it is, so the same gate now applies at both layers.
The agent's charts post TRQL an LLM wrote to the metric endpoint. A query it gets wrong is not a bug in our code, so those rejections should not alert either. The endpoint also serves built-in dashboard tiles, whose TRQL we do write, so the flag is set by the caller rather than the route: only the agent's charts opt in. Built-in tiles and the queue metric cards stay at error level.
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Summary
A query sent to the query API with a typo in it, like a column name that does not exist, was being reported as a server error. That put customer SQL mistakes into our error alerting, where they made up almost all of the volume on one of our noisiest alerts, and it drowned out the failures that are actually ours to fix. This makes the level match who is at fault, and fixes two related problems found alongside it.
Invalid queries are the caller's, not ours
The query API route already got this right. It checks for
QueryError, logs at warn, and returns a 400, with a comment saying the system handles it gracefully and no alert is needed.The layer underneath ignored that.
executeTSQLlogged every exception out of its catch block at error, including the compile failures the route was about to turn into a 400, and error-level logs are forwarded to error reporting.The TSQL package already draws the line we need:
SyntaxErrorandQueryErrorextend the first. So the catch block now branches onExposedTSQLErrorand logs those at warn, keeping error forInternalTSQLErrorand anything unanticipated, which is a genuine compiler bug.SQL the caller wrote is their mistake, not ours
The same asymmetry showed up one level down. A query that compiles fine can still be rejected by ClickHouse at execution, and most of those rejections mean the caller's SQL is wrong rather than that we generated something bad.
This is where the volume actually is. Checking production, one error group alone, a missing
GROUP BYon the public query API (NOT_AN_AGGREGATE), accounts for over a million events across hundreds of users. It is by far the largest error group in the project, and classifying only by resource limit would have left every one of those at error level.So rejections are split three ways in
ClickhouseClient, which is the only place holding the parsedClickHouseErrorand its symbolic type. By the time the error reachesexecuteTSQLit has been wrapped and the type is gone, and the type never appears in the message text, so it cannot be recovered by string matching.NOT_AN_AGGREGATE,UNKNOWN_IDENTIFIER,SYNTAX_ERROR, the type and parse families) logs at warn only when the caller wrote the SQL.That gate matters. The client is shared, so the identical rejection on TRQL we generated is our bug and has to stay at error. Callers opt in with
userAuthoredQuery:The agent is the one judgement call. Its TRQL is not typed by a person, but it is also not something a code fix makes correct, so a query it gets wrong is not worth waking anyone for. The same endpoint serves built-in tiles whose TRQL we do write, so the opt-in lives with the caller rather than the route.
Separately, when one of these queries did fail, the log recorded the generated ClickHouse SQL but not the query the caller actually wrote, which made the reports hard to act on.
queryWithStatstakes an optionallogFieldsthatexecuteTSQLuses to attach the original TSQL.Events were attributed to the wrong request
Chasing the above turned up something broader: only a tenth of the events on that alert pointed at the query API. The rest were pinned to unrelated requests that happened to be in flight at the same time, so the alert looked like the trigger endpoint was failing.
Sentry.initruns withskipOpenTelemetrySetup: true, because we register our own OTel pipeline. That skipsinitOpenTelemetry, and one of the things it does is:The async-context strategy is still installed, but
withIsolationScopeonly marks the OTel context and delegates the actual fork to that context manager:provider.register()installed a plainAsyncLocalStorageContextManager, which does not know that key. The lookup found no scopes on the context and fell back to the process-global default isolation scope, so every request wrote its request data into the same object and the last writer won.The tracer now registers
SentryContextManager, which subclassesAsyncLocalStorageContextManager, so OTel behaviour is unchanged. It is also registered on the path where tracing is disabled, which previously never calledregister()at all and so had no context manager of its own.Tenant tags were always correct, because those come from our own async local storage rather than the isolation scope. That is why the attribution being wrong was not obvious.
This affects every error report the webapp sends, not just the query API.
Verification
internal-packages/clickhouse: 76 tests pass, including eight covering each level decision against a real ClickHouse container. Three pairs pin the gate open and shut at both layers: an invalid query, a compile failure, and a real limit breach driven withmax_rows_to_readeach log at warn withuserAuthoredQueryand at error without it.The isolation fix has a test that reproduces the leak before asserting the fix. Two overlapping requests each tag their own isolation scope; with the plain context manager the slower one reads back the other's tag, and with
SentryContextManagereach reads back its own.Measured separately against a faithful reproduction of the server's wiring (own OTel pipeline, CommonJS entry) at 200 concurrent requests: per-request attribution goes from 0.5% to 100%, while span nesting, context propagation across awaits, and distinct trace IDs are identical before and after.