A Deep Guide to Troubleshooting Data‑Preparation Failures in Performance Testing
The article systematically dissects common data‑preparation failure patterns in performance testing, explains root‑cause tracing techniques such as SQL log sampling and dynamic timestamp generation, and proposes a three‑layer, engineering‑driven pipeline—including JSON‑Schema validation, Drools rule checks, and read‑only API verification—to ensure reliable, reproducible test data.
