> I have a table that will recieve about 2000 inserts per day, Although
> it will technically never be dead data, about 99.999% of it will be
> uninteresing after 30-40 days, My problem is that I dont know if I
> should create a new table that is a history table or add a indexed field
> and ignore the data in queries unless someone asks for it. The latter is
> my prefered way of dealing with it, Is there something Im missing? Is
> there another way to do this?
> Any Suggestions are appreciated.
We normally do this sort of thing by using a history table. There's no
strong reason why we do it this way as such, except that it just seems a
Advantages are that the data (in the history table) is easier to
manipulate (e.g., archive) without disturbing users who are looking at the
current 'live' data. Also, it's simple to query both live data & old
history data by using a union should we need to.
Normally, we setup a db rule that on deletion of a record from the live
table, copies it into the history table. In this way, we don't have to
manage it at the application level. In the app., we simply delete the
record when we're done with it & the db takes care of copying it into the
history table for us. We use a rule like this:
-- This is an SQL script to define a rule for deletions on buffer_pallets.
-- It automatically copies the records in the buffer_pallets table into the
-- pallet_history table
\connect - postgres
drop rule del_buffer_pallets;
create rule del_buffer_pallets
as on delete to buffer_pallets
do insert into pallet_history
select * from buffer_pallets
where pallet_urn = OLD.pallet_urn;
It's simple & clean. You can setup a cron job to clear out data older
than n days etc.
Hope this helps.
Deep Joy - Paul
Paul M. Breen, Software Engineer - Computer Park Ltd.
Tel: (01536) 417155
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