Use Codex to Troubleshoot a BigQuery Pipeline
Follow a production troubleshooting session that traces duplicate BigQuery rows to overlapping pipeline runs and verifies the fix.
Who it's for: This video is for data engineers using Codex to investigate a failing BigQuery pipeline.
The problem: Retried pipeline jobs overlapped and wrote duplicate data. The session follows a real incident through Codex's diagnosis, a writer lease, a staged rollout and verification in DataGrip.
Takeaways:
- Use failure alerts to help the agent explain the root cause.
- Staging checks and explicit approval keep the proposed production fix reviewable.
- You can check for duplicate rows yourself with SQL.