Mike P. wrote:
> Hello,
> 
> I've decided to use multiple tables for an entity (e.g. "todo_items1,"
> "todo_items2," "todo_items3," etc.), instead of just one main table
> which could end up having a lot of rows (e.g. just "todo_items"). I'm
> doing this to try and to avoid a potential future performance drop that
> could come with having too many rows in one table.

This sounds to me like the very definition of "Premature Optimization."

http://en.wikipedia.org/wiki/Program_optimization#When_to_optimize

What you're describing is called "Database Sharding."

http://en.wikipedia.org/wiki/Shard_(database_architecture)

However, I would very highly recommend the simpler design, unless you 
are having scaling problems right now. It sounds like you're at the 
beginning stages of design so I doubt that is the case.

Putting optimization before design leads to complex, difficult to 
maintain systems. At present you have no verifiable metrics to determine 
whether the more complex design will ever be needed. Why pay the cost 
for it now? Wouldn't it be smarter to implement optimizations after you 
have solid metrics to prove the need for said optimizations?
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