my only advice would be to keep your "historical" tables separate
from the tables used for "current information", even if this means
duplication of data. if you have foreign key or application
dependencies between your historical data and your current data, its
much more tedious and difficult to clean out old information from the
history tables. its nice to be able to freely delete or remotely
archive portions of data in the historical tables strictly via date
ranges, and even to disable foreign key constraints in order to speed
the deletion up, without any concern for the application failing.
On May 20, 2006, at 12:34 PM, Koen Bok wrote:
Maybe this is more a database related question, then a sqlalchemy
question. Never try never know.
I am building a point of sale application based on sqlalchemy. To
keep things organized, we keep a log of changes on some tables like
orders, products, stocks.
Let's take stocks in this example. If we have a stock of 20 from
product x at this moment, I would like to be able to see two things:
- What was the stock of product x total 36 hours ago
- What happended to the stock of product x in the last two weeks,
who made changes?
And for an order
- What did the order look like 3 days ago
What we could do is set up a logtable for each table we want to
track and save all values on a change (with a server side trigger)
plus the person responsible. This way we have to design a lot of
custom tables for each table we want to check, and write the
functions accordingly.
So I was thinking if there already was a "right way©" to do this.
It should be a fairly common problem, so maybe there is a standard
solution.
Thanks,
Koen
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