Validate Event Data in ClickHouse and Superset

Описание и применение

Пошаговый чек‑лист для проверки корректности событий в ClickHouse и Superset, начиная от транспортного уровня и заканчивая отображением в дашбордах.

Задача

An HTTP 200 response from an ingestion endpoint does not guarantee that event data is correctly decoded, stored, and reflected in dashboards, leading to potentially misleading analytics.

Результат

After following the five‑layer validation checklist, teams can confidently assert that events are correctly ingested, stored, semantically accurate, aggregated, and displayed, eliminating hidden data quality problems.

Рабочий процесс

• Create an identifiable test event with unique marker and representative property types.
• Verify transport: capture HTTP status, response body, request ID, and ingestion logs.
• Query ClickHouse for the raw event using the unique marker and narrow time range.
• Compare semantic fields (event name, identity, time, property types, environment) against the original payload.
• Run aggregate reconciliation queries in ClickHouse to confirm counts and distinct users.
• Reproduce the metric in Superset using the same dataset and filters to confirm dashboard output.

Доказательства

Validate event data at three minimum checkpoints: confirm the ingestion response and service logs, query the exact raw event in ClickHouse, then reproduce the intended metric in Superset.

Источник

Keep the raw event layer queryable. When a metric is disputed, the team should be able to move from a dashboard number to its SQL definition and then to the underlying events without relying on a closed transformation.

Источник