Dont't define a table the way you did.
I.e, don't expect a return object from db.define_table() when creating a lazy
table because it doesn't exist, actually.
About performance, I got good results simply setting "migrate=False" and
creating modules, instead of creating global functions in models.
---- On Thu, 05 Feb 2015 20:04:47 -0300 Jim S wrote ----
>Hi
>
>I need to take advantage of the performance boost available using
>lazy_table=True.
>
>
>My problem is that I have lots of table definitions in db.py that look like
>this:
>
>
>productSequenceTag = db.define_table('productSequenceTag',
> Field('productSequenceTagId', 'id',
> readable=False),
> Field('productId', db.product,
> label='ProductId',
> requires=IS_IN_DB(db, 'product.id',
> '%(productNumber)s - %(productName)s',
> zero='..')),
> Field('sequenceTagId', db.sequenceTag,
> label='Sequence Tag', ondelete='RESTRICT'),
> plural='Seq Tags')
>
>
>
>
>There isn't much on the subject in the book, but there are a number of good
>threads here in the group. However, it is really hard (for me at least) to
>sift through all this info and know definitively what is the best way to
>define a table and make sure it is lazy.
>
>
>Has anyone successfully implemented lazy_tables on a large db project? I've
>got 155 tables in my application.
>
>
>I really need to find a way to make this load quicker. Any help would really
>be appreciated.
>
>
>-Jim
>
>
> --
> Resources:
> - http://web2py.com
> - http://web2py.com/book (Documentation)
> - http://github.com/web2py/web2py (Source code)
> - https://code.google.com/p/web2py/issues/list (Report Issues)
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--
Resources:
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- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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