Hello! Sorry for the later answer.
On Sat, Apr 02, 2011 at 07:41:17PM +0000, Mark wrote:
> I've got 100,000 users running my app which stores their
> data locally. I'm now releasing cell phone apps and need
> to sync the data through a web server.
>
> Each user would have on average 10,000 rows of
Wow, that's the task!
> item:
> string item_name
> int days_since_last_update
> int item_value
>
> What will happen about 50 times a day is the server will
> receive a list of 5 items to update their values ( if current
> day is greater than that row's days_since_last_update+2 ) ...
>
> So given item names: A, B, C, D, E whats the most
> efficient way to get those 5 items and then update their
> values if the current_day is greater than that items
> days_since_last_update?
I don't see any other way but SELECT and UPDATE.
> Also each row is actually about 200 bytes. Thats 2mb
> per user or 200gb for the database? Do I need to be
> concerned about performance of my MySQL database?
Yes, I think you should worry about big memory, a fast disk, buffers
and indices. May be a few fast disks - MySQL 5.0+ can do data
partitioning, but you have to devise a good partitioning schema.
Oleg.
--
Oleg Broytman http://phdru.name/ [email protected]
Programmers don't die, they just GOSUB without RETURN.
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