Yes, that is what I meant by "think I can solve it by means discussed
here previously".  I think I can see how this would generalize to
additional tables in a DB.  I don't think it generalizes to multiple
DBs though, right?

What I was really asking was if there should be a more direct way of
doing this (what I call "sugar")?

It might help if there was better documentation for IS_NOT_IN_DB
because this trick is a little hard (for me at least) to wrap your
head around.  The current docstring says:  "INPUT
(_type='text',_name='name',requires=IS_NOT_IN_DB(db,db.table))".

As I understand it this does the moral equivalent of "SELECT
events.name WHERE db.events.competition==request.vars.competition AND
events.name==value" and checks if anything is returned?

On Feb 15, 3:32 pm, mdipierro <[email protected]> wrote:
> I think you are looking for this:
>
> db.events.name.requires=IS_NOT_IN_DB(db
> (db.events.competition==request.vars.competition),'events.name')
>
> On Feb 15, 2:20 pm, BigBaaadBob <[email protected]> wrote:
>
> > This seems to be a problematic FAQ, but: if I'm making an effort to
> > normalize my database structure how do I do cross-table validation?
>
> > Example (with extraneous things left out):
>
> > db.define_table('competitions',
> >     SQLField('name','string'),
> >     SQLField('chief_ref','string'))
> > db.competitions.name.requires=[IS_NOT_EMPTY(), IS_NOT_IN_DB
> > (db,'competitions.name')]
>
> > db.define_table('events',
> >     SQLField('name','string',length=64),
> >     SQLField('competition',db.competitions))
> > db.events.competition.requires=IS_IN_DB
> > (db,'competitions.id','competitions.name')
>
> > I want to assure that newly added events meet the constraint that the
> > combination of events.name+competitions.id is unique.  IOW, I don't
> > want two events with the same name for a specific competition.
>
> > In this simple case I think I can solve it by means discussed here
> > previously,  But still, I would think cross-table validation is a very
> > frequent requirement in real applications that there should be some
> > sugar for it, no?
>
> > If you use a carefully normalized schema the number of cross-table
> > validations requirements grows beyond just two.  And in real
> > "enterprise" applications, wouldn't you even need to do cross-DB
> > validations?
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