Hi everyone,
I’m working with a setup where content updates very frequently, and I’ve noticed that some queries return stale or inconsistent results even though the data source has already changed. It feels like caching layers or query normalization might be getting in the way, especially when the same query shape is reused often.
This came up while thinking about dynamic data flows like a telenrquiztoday.pk quiz, where questions and answers update regularly and users expect real-time accuracy. In cases like this, is it better to rely on cache invalidation strategies, or should queries be structured differently to avoid stale reads altogether?
Curious how others handle high-churn data without sacrificing performance