I thought about wrapping create_all this way:
def create_tables(database, schema=None):
for table in Base.metadata.tables.values():
table.schema = schema
Base.metadata.create_all(database.engine)
and then probably use the event for all the queries afterwards. Is this too
much of a nasty way of doing it?
On Thursday, March 12, 2015 at 6:29:00 PM UTC+1, Michael Bayer wrote:
>
>
>
> Francesco Della Vedova >
> wrote:
>
> > Hello,
> >
> > I have a set of models that I would like to replicate on different
> Postgres schemas. The name of the schema is only known at runtime.
> > Just as an example, imagine I have a bunch of tables of customer data,
> and I want to create a schema 'customer_id' with the same tables every time
> I get a new customer.
> >
> > I'm aware of this strategy but it wouldn't work in my case.
> >
> > class TableA(Base):
> >...
> >
> > class TableB(Base):
> >...
> >
> > for customer_id in customers:
> ># set the schema here
> >Base.metadata.create_all()
>
> you can try using table.tometadata(new_metadata, schema=) to
> make
> new tables, and possibly even use it in conjunction with automap
> (http://docs.sqlalchemy.org/en/rel_0_9/orm/extensions/automap.html).
>
> Another approach is to use a before_cursor_execute() event, searching for
> a
> token in the SQL and rewriting it to one that is set up on the
> current connection in the .info dictionary.
>
> The latter is essentially a hacky way to get at an upcoming feature which
> is
>
> https://bitbucket.org/zzzeek/sqlalchemy/issue/2685/default-schema-schema-translation-map-as.
>
>
>
> This depends of course on if you need to use each schema on a
> per-Session/connection basis, or you need to work with all schema-based
> models simultaneously.
>
>
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