Hi
SSIS can be a good choice.
Also
>also keep about 1 year
> of data in archive database.
DELETE FROM tbl WHERE dt <DATEADD(Year,-1,GETDATE())
> I must keep data in production database about
> two months, b
Create a job and schedule it on day period
I must keep data in production database about
INSERT INTO arch. tbl (..) SELECT ... FROM prod WHERE dt >='19000101' AND
dt<=DATEADD(month,-2,GETDATE())
>Additionally two
> months old data in the production database can change (delete, update)
> and that also must be reflected in archive database.
Here, I'd suggest you to create a trigger or (take a look at OUTPUT clause)
and flag or whatever modified data
"OgnjenT" <OgnjenT@.gmail.com> wrote in message
news:3f74847e-97c1-4a69-bbb8-17813ccc2cbb@.u10g2000prn.googlegroups.com...
> HI,
> I have a database on sql server 2005 ent edition with about 300 000
> new records every day. I must keep data in production database about
> two months, but there are a lot of reporting activities which are
> interrupting normal functioning of production server and there is also
> requirement to query historical data(about 1 year) with reports. I
> must add new data to the archive database every day. Additionally two
> months old data in the production database can change (delete, update)
> and that also must be reflected in archive database. So basically I
> must insert new data, update changed date and delete deleted data from
> production database into archive database but also keep about 1 year
> of data in archive database. Then I can separately optimize archive
> database for reporting. What is the best way to satisfy all that
> requirements. I am thinking about SSIS.
On Feb 7, 9:03Xam, "Uri Dimant" <u...@.iscar.co.il> wrote:
> Hi
> SSIS can be a good choice.
> Also
>
> DELETE FROM tbl WHERE dt <DATEADD(Year,-1,GETDATE())
>
> X X Create a job and schedule it on day period
> XI must keep data in production database about
> INSERT INTO arch. tbl (..) SELECT ... FROM prod WHERE dt >='19000101' AND
> dt<=DATEADD(month,-2,GETDATE())
>
> Here, I'd suggest Xyou to create a trigger or (take a look at OUTPUT clause)
> and flag or whatever modified data
> "OgnjenT" <Ognj...@.gmail.com> wrote in message
> news:3f74847e-97c1-4a69-bbb8-17813ccc2cbb@.u10g2000prn.googlegroups.com...
>
>
> - Show quoted text -
Problem with triger is when I clean data older then two month it will
delete data in archive database too. Also I must then put the triger
on the other tables because of the referential integrity in the
archive database.
>INSERT INTO arch. tbl (..) SELECT ... FROM prod WHERE dt >='19000101' AND
>dt<=DATEADD(month,-2,GETDATE())
I can't do that because I must have to synchronize production and
archive database every day because every night I mast have a dozen of
reports.
I decided to have archive database because of different way of queries
for normal processing and for reporting and I don't wont reporting
have so mutch influence on normaln work. So it is not only archiving
data but creating separate database for reporting so I can put some
more indexes, indexed views and in the same time my insert and updates
will still be fast in the production database. Also production server
doesn't have to hold data older than two months so it is better to
clean it so my queries woold be faster.
Is it maybe ok to delete data older than two months from archive
database every night and insert that data from production database. It
seems to me that it will be faster than check every row in production
database and then update archive database if row is updated, delete if
deleted. The esiest of course is to insert new rows.
Maybe before that bulk delete and insert it wood be smart to drop all
indexes, indexed views and constraint and recreate it after. But I
must do all that for about 15 minutes.
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