Has anyone looked at the speed differences between operations performed with a Storage object and the equivalent object with a dictionary? I wonder how these would compare?
bob = MyStorageObject.name bob = MyDictionary['name'] I suspect that the difference with one lookup would be trivial, but I'm wondering whether it is enough that it could make a noticeable difference if we're working with a long list of nested Storage objects or nested dicts. E.g.: allrows = db(db.mytable.id > 0).select() allrows.find(lambda row: [n for n in row.tags[0].names if n in list_of_names]) allrows_list = allrows.as_list() allrows_list = [d for d in allrows_list if [n for n in d['tags'][0]['names'] in list_of_names]] Does anyone have an idea whether there will be much speed difference? Ian --
