Reputation: 546
I have three tables
I want to filter the logs based on devices and logs. I'm using the following querying which iterates over the users and devices in order to get the logs. I feel this will become a performance hit. How to reduce the number of database hits?
for user_obj in User.objects.all():
device_qs = Device.objects.filter(user=user_obj)
if device_qs.exists():
for device_obj in device_qs:
log_count = Log.objects.filter(user=user_obj, device=device_obj, created_at__range(from_date, to_date)).count()
Upvotes: 1
Views: 778
Reputation: 5740
If you only need the log count per user and device (which is what you get from the code you posted), you can get that in just one query:
from django.db.models import Count
logs = (Log.objects
.filter(created_at__range = (from_date, to_date))
.values('user', 'device')
.annotate(log_count=Count('device'))
)
You can modify the query to include any attributes of the user and device models that you need:
.values('user__last_name', 'device__name') # etc.
You can also order the dataset by appending order_by()
at the end to be able to iterate over it in the desired order:
.order_by('user__last_name', '-log_count')
Upvotes: 1
Reputation: 16042
What I would do is create a "proxy model" that references a view
in your MySQL instance
The view would look like this:
SELECT
t1.*,
t2.*,
t3.*
FROM users t1
RIGHT JOIN device t2 (ON t1.id=t2.user_id)
RIGHT JOIN log t3 (ON t3.device_id=t2.id);
Now to create a proxy model, do this:
class SomeModel(models.Model):
# all fields from the 3 tables here
class Meta:
db_table = 'yourViewNameHere'
managed = False # this keeps django from creating the table
then python manage.py makemigrations
+ python manage.py migrate
as usual
Now, to access the the data you need, you would do something like this:
from django.db import connection
sql = "SELECT * FROM your_view WHERE some_date_column > 'foo' AND some_date_column < 'bar' "
with connection.cursor() as cur:
cur.execute(sql)
data = cur.fetchall()
print(data)
Note that if you are passing parameters to the raw sql query, you should always pass them like this to avoid sql injection:
sql = "SELECT * FROM your_view WHERE some_date_column > %s AND some_date_column < %s"
params = ('foo', 'bar')
with connection.cursor() as cur:
cur.execute(sql, params)
data = cur.fetchall()
Upvotes: 1