From: | Eci Souji <eci(dot)souji(at)gmail(dot)com> |
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To: | pgsql-general(at)postgresql(dot)org |
Subject: | Scaleable DB structure for counters... |
Date: | 2006-07-16 07:34:51 |
Message-ID: | 44B9EC1B.3040008@gmail.com |
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Thread: | |
Lists: | pgsql-general |
So we've got a table called "books" and we want to build records of how
often each book is accessed and when. How would you store such
information so that it wouldn't become a huge unmanageable table?
Before I go out trying to plan something like this I figured I'd ask and
see if anyone had any experience with such a beast.
One idea I had was to create a separate DB for these counters and create
a schema for each year. Within each year schema I would create month
tables. Then I'd write a function to hit whatever schema existed like,
ala...
SELECT * FROM public.get_counters(date, hour, book_id);
get_day_counters would break up the date and based on the year do a
select counters from "2006".may WHERE day=12 and book_id=37. If hour
had a value it could do select counters from "2006".may where day=12 and
book_id=37 and hour=18.
Offline scripts would take care of generating and populating these
tables, as they'd be historical and never real-time.
Thoughts? I'm hoping someone has done something similar and can point
me in the right direction.
- E
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