Comment by luuio

Happy to continue :)

Where our conversation is at, it's not about RDBMS vs. NoSQL.

On the Redis INCR operation example (or an equivalent operation in any database, even in an RDBMS). In short, you don't always have the guarantee to know the result of the operation. This is part of what the 99.9% means when services advertise their reliability. 99.9% of the time you'll get an acknowledgement back, but not 100%.

The question comes to, what happens if I miss an INCR, or if I accidentally double INCR when I retry? For some use cases, it's acceptable: like counting the number of views on a Youtube video. For others, say a financial system counting money or making a payment, that's not OK. That's where idempotency really matters (btw this is why many redis operations have the NX option).

Let's go completely off track for a little bit, say you're Strava. You let devices and users upload workouts to your service. What happens when a phone sent you the workout, then disconnected due to bad receptions? In this case, the phone doesn't know if the operation succeeded so it's forced to retry. How do we make sure the workout isn't created and counted twice on Strava? Well, each workout has a unique UUID generated by the device. Strava uses this UUID to dedup when it receives an upload. The UUID is the idempotency "checkpoint".

In this case, it doesn't matter what kind of database Strava is using. The idempotency problem is the same.