So I’m playing around with Google AppEngine (still!) trying to put together some kind of sensible use for it. AppEngine is neat-O, but it is also quite limited in what it can and can’t do. One of the most glaring problems (for my toy app) is the datastore query API, which has various restrictions, including:
Inequality Filters Are Allowed On One Property Only
Now this is pretty obviously an efficiency measure: retrieving on inequalities involves iterating along one index, and the datastore isn’t in the business of picking which one to iterate along. But its also really annoying if you actually want to do something which needs multiple inequalities.
The way around it, of course, is to let the datastore handle the first inequality, and then post-filter to assess the rest. This works great (despite various other datastore limitations, eg: never returning more than 1000 rows) but having to do it explicitly in the main part of the code reduces the elegance of the code:
Things.all().filter("foo >", foo).filter("bar >", bar).filter("qux >", qux)
is more elegant than:
[ t for t in Things.all().filter("foo >", foo) if t.bar > bar and t.qux > qux]
especially if you’re generating the queries on the fly. Wouldn’t it be nice to be able to have the filter() method work out whether this was a disallowed inequality and if so, handle it as a post-filter?
Well, with a little Python magic, this is possible. First, a mixin class lets us declare models as:
class Things(MultiInequalityMixin, db.Model): # etc
Using the following Mixin class:
class MultiInequalityMixin(object): """ Allows multiple inequality matches in a query. """ @classmethod def all(cls, **kwds): return MultiInequalityQuery(cls, **kwds)
This just gets Things.all() to pass back our own special Query() object instead of the standard one. The MultiInequalityQuery class derives from the standard db.Query class, and overrides Query.filter() with its own method. Its filter() method passes through the first inequality as normal, but later inequalities get turned into little post-filter closures and stashed in a list. Then the __iter__ iterator method checks these post-filters as it yields up the results:
class MultiInequalityQuery(db.Query): def filter(self, prop_op, value): """ pass through most queries, except inequalities where this wouldn't be allowed. """ prop_op_match = prop_op_regex.match(prop_op) if prop_op_match: prop, op = prop_op_match.groups() if self.ineq_prop not in (prop, None): self.ineq_post.append(make_closure(prop, op, value)) return self self.ineq_prop = prop super(MultiInequalityQuery, self).filter(prop_op, value) return self def __iter__(self): """ Chain onto the Query.__iter__ but reject objects not passing all the postfilters """ for x in super(MultiInequalityQuery, self).__iter__(): if all([ f(x) for f in self.ineq_post ]): yield x
… and some other methods which wrap up the other methods (fetch, count) based on __iter__. I haven’t even considered GQL because it just, somehow, doesn’t do much for me :-) but it should be doable in the same way. There are limitations here: it’s not all that efficient to load up a lot of rows and throw most of them out again. The “best” (eg: most restrictive) inequality should go first, but which one is it?
I've published the Multiple Inequalities in Google AppEngine code here ... note that this is still pretty sketchy and I'm not really interested in developing it further myself. Take it and run with it!