Earlier quoted context omitted.
What's the algorithm you use for consolidating those repeated writes? I've thought about doing something like this in the past, but was put off by the worry that there might be edge cases where data would be lost (e.g. insufficient writes to trigger a write through, many concurrent writes, etc.)
So I actually store the rows as serialized JSON objects in my redis cache, and when a write occurs, I update the JSON representation in the cache (if it's not in the cache, I read it from the DB and store it there). After X hours, I have a daemon that goes through all expired keys, deserializes the JSON, and executes a transaction, updating 500 objects at a time. To prevent possible race conditions, you need a mutex…
Possibly stupid question - how do you retrieve all the expired keys? I was under the impression that once keys expired, they were effectively invisible to clients?