Hi Furbee,
-- Thanks for your response.
With my experience I have always noticed that a query within query kills the mysql and Mysqld CPU usage hits the ceiling. I would still check your alternate.
I have mentioned the size of A and B in response to Vijay's reply.
On Saturday, February 3, 2018 at 1:06:48 AM UTC+5:30, Furbee wrote:
On Saturday, February 3, 2018 at 1:06:48 AM UTC+5:30, Furbee wrote:
There are a couple options you could try to see which is the best fit for your data. With DEBUG=True in settings.py you can check the actual queries and process time. It depends on the sizes of A and B. Another query you can run is:A.objects.exclude(id__in=B.objects.all().values_list('a_ id', flat=True)) When I tried, it seemed to be about the same speed with my test data as the one you had A.objects.filter(bs__isnull=True). To see what queries are generated and the query time with DEBUG=True:Open your Django Python Shell>>> A.objects.exclude(id__in=B. objects.all().values_list('a_ id', flat=True))>>> A.objects.filter(bs__isnull=True) >>> from django.db import connection>>> for q in connection.queries:>>> print("{0}: {1}".format(q['sql'], q['time']))This will show you both queries generated and how long it took to get a response from your DB.You can also write raw SQL, if you can make one more efficiently.FurbeeOn Fri, Feb 2, 2018 at 10:56 AM, Vijay Khemlani <vkhe...@gmail.com> wrote:"with large of records in A and B, the above takes lot of time"How long? At first glance it doesn't look like a complex query or something particularly inefficient for a DB.--On Fri, Feb 2, 2018 at 11:31 AM, Andy <kaku...@gmail.com> wrote:not that i know of
Am Freitag, 2. Februar 2018 15:28:26 UTC+1 schrieb Web Architect:Hi Andy,Thanks for your response. I was pondering on option a before posting this query thinking there could be better ways in django/SQL to handle this. But now I would probably go with a.Thanks.
On Friday, February 2, 2018 at 7:50:53 PM UTC+5:30, Andy wrote:a) Maybe its an option to put the foreign key to the other model? This way you dont need to make a join to find out if there is a relation.b) Save the existing ralation status to model Ac) cache the A.objects.filter(bs__isnull=False) query But apart from that i fear you cannot do much more, since this is just a DB and not a Django ORM question.Am Freitag, 2. Februar 2018 14:47:45 UTC+1 schrieb Web Architect:Hi,I am trying to optimise Django queries on my ecommerce website. One of the fundamental query is where I have no clue how to make efficient. It could be trivial and probably been known long time back. But I am new to Django and would appreciate any help. This is primarily for one to many or many to many relations.Following is an example scenario:(Please pardon my syntax as I want to put across the concept and not the exact django code unless it's really needed):Model A:class A(models.Model):# Fields of model AModel B (which is related to A with foreign key):class B(models.Model):a = models.ForeignKey('A', related_name='bs')Now I would like to find out all As for which there is atleast one b. The only way I know is as follows:A.objects.filter(bs__isnull=False) But the above isn't an optimal way as with large of records in A and B, the above takes lot of time. It gets more inefficient if it's a many to many relationship.Could anyone please let me know the most efficient way to use django queryset for the above scenario?Thanks.To view this discussion on the web visit https://groups.google.com/d/--
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