list:reference is faster for finding referenced fields many-to-many are faster for finding referencing fields.
Usually categories are nested. I assume you want tags instead of categories (it is more general). I usually use both approaches and de-normalize it. Below there is class Tag (which is a little complex but can be used out of the box) and some example of usage: class Tag(object): class Validator(object): def __call__(self,values): if isinstance(values,str): values = values.split(',') tags = [IS_SLUG.urlify(x) for x in values] tags = [x.lower() for x in tags if x] return (tags, None) def formatter(self,values): return ', '.join(values) if values else '' @staticmethod def represent(v,r=None): return SPAN(*(SPAN(t,_class='tag') for t in v)) if v else '' @staticmethod def after_insert(fields, record_id, field2): if 'tags' in fields: for tag in fields.tags: d = {'name':tag, field2.name:record_id} field2.table.insert(**d) @staticmethod def after_update(dbset,fields,field1,field2): if 'tags' in fields: subquery = dbset._select(field1.table.id) field2._db(field2.belongs(subquery)).delete() for tag in fields.tags: d = {'name':tag, field2.name:record_id} field2.table.insert(**d) @staticmethod def connect(field1,name="tag"): db = field1._db table = db.define_table(name,Field('name'),Field(field1.name,'reference thing')) field2 = table[field1.name] field1.requires = Tag.Validator field1.widget = SQLFORM.widgets.string.widget field1.represent = Tag.represent field1.table._after_insert.append(lambda f,u: Tag.after_insert(f,u,field2)) field1.table._after_update.append(lambda f,u: Tag.after_insert(f,u,field1,field2)) @staticmethod def has_all(field1,tags,name="tag",mode="and"): db = field1._db table = db[name] if isinstance(tags,str): tags = [tags] queries = [] for tag in tags: queries.append(field1.table.id.belongs(db(table.name==tag)._select(table[field1.name]))) if mode=='and': return reduce(lambda a,b:a&b, queries) else: return reduce(lambda a,b:a|b, queries) @staticmethod def has_any(field1,tags,name="tag"): return Tag.has_all(field1,tags,name=name,mode="or") ### example of usage db.define_table('thing', Field('name'), Field('tags','list:string')) Tag.connect(db.thing.tags) db.thing.insert(name='table', tags=['round','blue']) print db(Tag.has_all(db.thing.tags,['round'])).select(db.thing.ALL) print db(Tag.has_all(db.thing.tags,['blue'])).select(db.thing.ALL) print db(Tag.has_all(db.thing.tags,['red'])).select(db.thing.ALL) print db(Tag.has_all(db.thing.tags,['blue', 'round'])).select(db.thing.ALL) print db(Tag.has_any(db.thing.tags,['red','round'])).select(db.thing.ALL) On Friday, 17 January 2014 03:21:52 UTC-6, Najtsirk wrote: > > Hi, > > I have a dilemma about *list:reference, multiple=True vs. many-to-many > with intermediate table.* > > I have Projects which haveto be in several categories. > > Is it better to use list:reference (to list categories from the categories > table) or many-to-many? Which is faster in queries? > > Thanks for the answers. > -- 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) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.