You can try and use .Net Migrator to ease your work, but I'm afraid I
haven't seen a fully automated solution, probably because of all the
reasons Oskar mentioned:
http://code.google.com/p/migratordotnet/

Whatever solution you choose, make sure you start using it fast and
put someone in-charge of CM - working backwards is a pain...

On Oct 9, 3:43 pm, Oskar Berggren <[email protected]> wrote:
> While an automatic tool can find the differences between two schema
> versions, and modify one of them to look like the other, this does not
> say anything about the data in the existing database or the semantics
> of it. I doubt that any automatic tool can ever, in the general case,
> figure out the semantic changes and convert existing data. (E.g. a
> customer table has address columns, in next version you introduce an
> address table with a foreign key back to customer, now a script needs
> to create the new table, extract address data from customers into new
> table, referencing correct customer id, and only then perform the
> schema change of removing the old address columns. And that was a
> fairly easy case...)
>
> We write a number of "SQL patch scripts" that are each assigned a
> sequential number. These are stored in version control of course, and
> "compiled" as embedded resources. When a new release is installed, it
> will look at the last applied patch number (stored in database) and
> then run any new patches, each in its own transaction, and with some
> sanity checking.
>
> There is also the tool LiquiBase, though I've never used it (yet?).
>
> /Oskar
>
> 2010/10/9 Timur Zanagar (ClockWorkZ) <[email protected]>:
>
>
>
> > Hi folks,
>
> > I just wanted to know if there are some best practices to handle
> > changes for the database?
>
> > I looked into the discussion from 2008 (Schema Update in real world?)
> > and it seems that there was the main opinion not to use SchemaUpdate
> > in production environment. So what are the opinions today? Did
> > something changed? How do you handle this?
>
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