Query Optimizer
Features
The query optimizer is a must-have extension for improved performance of your schema. What it does:
- Call QuerySet.select_related() on all selected foreign key relations by the query to avoid requiring an extra query to retrieve those
- Call QuerySet.prefetch_related() on all selected many-to-one/many-to-many relations by the query to avoid requiring an extra query to retrieve those.
- Call QuerySet.only() on all selected fields to reduce the database payload and only requesting what is actually being selected
- Call QuerySet.annotate() to support any passed annotations of Query Expressions .
Those are specially useful to avoid some common GraphQL pitfalls, like the famous n+1
issue.
Enabling the extension
The automatic optimization can be enabled by adding the DjangoOptimizerExtension
to your strawberry’s schema config.
Usage
The optimizer will try to optimize all types automatically by introspecting it. Consider the following example:
Querying for artist
and songs
like this:
Would produce an ORM query like this:
Note
Even though album__release_date
field was not selected here, it got selected
in the prefetch query later. Since Django caches known objects, we have to select it here or
else it would trigger extra queries latter.
Optimization hints
Sometimes you will have a custom resolver which cannot be automatically optimized by the extension. Take this for example:
In this case, if only total
is requested it would trigger an extra query for
both price
and quantity
because both had their value retrievals
defered
by the optimizer.
A solution in this case would be to “tell the optimizer” how to optimize that field:
Or if you are using a custom resolver:
The following options are accepted for optimizer hints:
-
only
: a list of fields in the same format as accepted by QuerySet.only() -
select_related
: a list of relations to join using QuerySet.select_related() -
prefetch_related
: a list of relations to prefetch using QuerySet.prefetch_related() . The options here are strings or a callable in the format ofCallable[[Info], Prefetch]
(e.g.prefetch_related=[lambda info: Prefetch(...)]
) -
annotate
: a dict of expressions to annotate using QuerySet.annotate() . The keys of this dict are strings, and each value is a Query Expression or a callable in the format ofCallable[[Info], BaseExpression]
(e.g.annotate={"total": lambda info: Sum(...)}
)
Optimization hints on model (ModelProperty)
It is also possible to include type hints directly in the models’ @property
to allow it to be resolved with auto
, while the GraphQL schema doesn’t have
to worry about its internal logic.
For that this integration provides 2 decorators that can be used:
-
strawberry_django.model_property
: similar to@property
but accepts optimization hints -
strawberry_django.cached_model_property
: similar to@cached_property
but accepts optimization hints
The example in the previous section could be written using @model_property
like this:
total
now will be properly optimized since it points to a @model_property
decorated attribute, which contains the required information for optimizing it.