Matt Aitken
eefb96c87d
## Summary On a ClickHouse `Cannot parse JSON object` rejection, `RunsReplicationService` now sanitizes lone UTF-16 surrogates across the failing batch via the existing `sanitizeRows` helper and retries once. If the sanitizer found nothing or the retry also fails, the batch is dropped loudly with a counter increment, so the surrounding `#insertWithRetry` layer doesn't spin three more times on a deterministic failure. Non-parse errors propagate unchanged. Mirrors the pattern from #3659 (for `ClickhouseEventRepository`) — same root cause (lone UTF-16 surrogates in user-provided JSON), same recovery shape, **reusing the same shared helpers** (`sanitizeRows`, `isClickHouseJsonParseError`, `parseRowNumberFromError`). Fixes the customer-facing symptom from [TRI-9755](https://linear.app/triggerdotdev/issue/TRI-9755): a single row's poisoned `output` JSON used to take down the `COMPLETED_SUCCESSFULLY` UPDATE events for its 50+ batch-mates, stranding them in `EXECUTING` in ClickHouse forever and inflating "Running" counts on the Tasks page. Confirmed in production this is ongoing — ~120k stale rows accumulated in a single 5-hour burst on 2026-05-18; smaller continuous leak before and after. ## What changed `apps/webapp/app/services/runsReplicationService.server.ts`: - Imports the three helpers from `~/v3/eventRepository/sanitizeRowsOnParseError.server` (no duplication; no move). - New private `#insertWithJsonParseRecovery<T>(rows, doInsert, contextLabel, attempt)` — generic over `TaskRunInsertArray[]` and `PayloadInsertArray[]`, structurally identical to `ClickhouseEventRepository.#insertWithJsonParseRecovery`. Try → on parse error sanitize the whole batch (the `at row N` hint is logged but not used to slice — semantics under `input_format_parallel_parsing` aren't stable) → retry once → drop with loud log if sanitizer found nothing OR retry still fails. - `#insertTaskRunInserts` and `#insertPayloadInserts` extract a `doInsert` closure and hand it to the wrapper. Existing error logging, span recording, and `recordSpanError` are preserved inside the closure. - New `private _permanentlyDroppedBatches = 0` counter with a public getter, for ops dashboards and tests (matches the events-repo convention). One shared counter for both insert sites — granularity comes from the `contextLabel` (`task_runs_v2` / `raw_task_runs_payload_v1`) on every log line. `.server-changes/runs-replication-utf16-recovery.md` — release notes entry. ## Why no new tests The shared helpers already have full unit + real-ClickHouse contract coverage from #3659 (`apps/webapp/test/sanitizeRowsOnParseError.test.ts`, `apps/webapp/test/otlpUtf16Sanitization.integration.test.ts`). The new wrapper is a line-for-line structural port. Adding a parallel integration test would require synthesizing bad data that *escapes* the preemptive `detectBadJsonStrings` check in `#prepareJson` but still trips ClickHouse — non-trivial without hand-crafted fixtures and wouldn't cover any new logic. ## What this does NOT do - Doesn't touch the ~120k existing stale `EXECUTING` rows in production. That needs a reconciliation/backfill sweep (separate ticket — TRI-9755 fix #3). - Doesn't sanitize the `error` column path (`runsReplicationService.server.ts:932 const errorData = { data: run.error };`). Reactive recovery will catch it if it ever poisons a batch, but feeding it through `#prepareJson` like `output` is a cheap follow-up. ## Test plan - [x] `pnpm run typecheck --filter webapp` — clean - [ ] Post-deploy: confirm `permanentlyDroppedBatches` counter stays at zero (or near-zero) in `/stp/trigger-app-prod/ecs/replication/service-container/process-logs`, and watch for `Sanitizing batch after ClickHouse JSON parse error` warns to confirm recovery is firing on real traffic - [ ] Post-deploy: confirm the rate of new "EXECUTING-but-actually-COMPLETED" zombies in ClickHouse flattens (current rate ≈ tens-to-hundreds per hour platform-wide) 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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About Trigger.dev
Trigger.dev is the open-source platform for building AI workflows in TypeScript. Long-running tasks with retries, queues, observability, and elastic scaling.
The platform designed for building AI agents
Build AI agents using all the frameworks, services and LLMs you're used to, deploy them to Trigger.dev and get durable, long-running tasks with retries, queues, observability, and elastic scaling out of the box.
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Long-running without timeouts: Execute your tasks with absolutely no timeouts, unlike AWS Lambda, Vercel, and other serverless platforms.
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Durability, retries & queues: Build rock solid agents and AI applications using our durable tasks, retries, queues and idempotency.
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True runtime freedom: Customize your deployed tasks with system packages – run browsers, Python scripts, FFmpeg and more.
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Human-in-the-loop: Programmatically pause your tasks until a human can approve, reject or give feedback.
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Realtime apps & streaming: Move your background jobs to the foreground by subscribing to runs or streaming AI responses to your app.
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Observability & monitoring: Each run has full tracing and logs. Configure error alerts to catch bugs fast.
Key features:
- JavaScript and TypeScript SDK - Build background tasks using familiar programming models
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- Durable cron schedules - Create and attach recurring schedules of up to a year
- Trigger.dev Realtime - Trigger, subscribe to, and get real-time updates for runs, with LLM streaming support
- Build extensions - Hook directly into the build system and customize the build process. Run Python scripts, FFmpeg, browsers, and more.
- React hooks - Interact with the Trigger.dev API on your frontend using our React hooks package
- Batch triggering - Use batchTrigger() to initiate multiple runs of a task with custom payloads and options
- Structured inputs / outputs - Define precise data schemas for your tasks with runtime payload validation
- Waits - Add waits to your tasks to pause execution for a specified duration
- Preview branches - Create isolated environments for testing and development. Integrates with Vercel and git workflows
- Waitpoints - Add human-in-the-loop judgment at critical decision points without disrupting workflow
- Concurrency & queues - Set concurrency rules to manage how multiple tasks execute
- Multiple environments - Support for DEV, PREVIEW, STAGING, and PROD environments
- No infrastructure to manage - Auto-scaling infrastructure that eliminates timeouts and server management
- Automatic retries - If your task encounters an uncaught error, we automatically attempt to run it again
- Checkpointing - Tasks are inherently durable, thanks to our checkpointing feature
- Versioning - Atomic versioning allows you to deploy new versions without affecting running tasks
- Machines - Configure the number of vCPUs and GBs of RAM you want the task to use
- Observability & monitoring - Monitor every aspect of your tasks' performance with comprehensive logging and visualization tools
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- Tags - Attach up to ten tags to each run, allowing you to filter via the dashboard, realtime, and the SDK
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- Real-time alerts - Choose your preferred notification method for run failures and deployments
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import { task } from "@trigger.dev/sdk";
//1. You need to export each task
export const helloWorld = task({
//2. Use a unique id for each task
id: "hello-world",
//3. The run function is the main function of the task
run: async (payload: { message: string }) => {
//4. You can write code that runs for a long time here, there are no timeouts
console.log(payload.message);
},
});
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Useful links:
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