Thank you, Benny. We will try it and let you know. On Sat, Jan 16, 2021 at 5:48 PM Benny M <chibe...@outlook.com> wrote:
> Ram, > These are all pieces to a puzzle. Indexing, ORM optimization and through > tables all add up to an efficient page render. Additionally, you could > consider caching some of your results, using a key like ‘postal code’ - > some sort of constant that you could use as a metric/pivot. Use a cron job > to populate your through tables and cache the results for a faster return. > > Benny > > On Jan 16, 2021, at 5:47 PM, Ram <ram.mullap...@gmail.com> wrote: > > > Hi, > > We have a similar type of challenge in our project. We will definitely try > indexing. > > Basically we are currently doing like this. > > 1. Registered users can post an ad in Classifieds by uploading 4 - 6 > images per ad. All the ads are placed in one postgres db table. > (classifieds table) > > 2. Same user opens the Classifieds page where we list all the Ads posted > by this user as well as other users. This page loading is taking a lot of > time. > > 3. Each ad will display a thumbnail image, title of the ad, 2 line > description, price value, distance value from nearby zip code, age of the > ad, zip code > > 4. Since we are calculating the distance between zip codes each Ad using > a third party API, I think page loading is taking a lot of time. > 4.1. I've dumb idea here where I can add a. new table, '*nearby_ads table*'. > As soon as the ad was submitted successfully, process the ads distance and > add all the nearby ads into this table. When the classifieds page is > launched, only nearby ads will be displayed. First of all I'm not sure > whether this is a good idea because we are going to have two tables, one is > *classifieds > table* and the other one is a *nearby_ads table*. Second of all I'm not > sure what is the limit that I can set limit on how far I could calculate > nearby ads ( like 10 miles or 30 miles or 50 miles radius). > > 5. Our goal is to present all the nearby ads based on the logged in user > zip code and if a visitor opens this Classifieds page, we have to capture > nearby location of the visitor and present the nearby ads. > > 6. Additionally registered users and visitors should be able to filter the > ads based on different zip code though both are from different location > > Please let me know if you recommend any advanced packages or libraries in > Django or Python to achieve the above. Or indexing is the only option to > reduce the page loading time? I appreciate it if you can share any > recommendations and pointers. > > Best Regards > ~Ram > > On Fri, Jan 15, 2021 at 12:51 AM Benjamin Schollnick < > bscholln...@schollnick.net> wrote: > >> Also don’t forget to include Indexing. >> >> As a *general* rule, any field that you perform any query against, >> should be indexed. >> Yes, it costs a “bit” for disk space, but indexing can dramatically >> increase your query speed. >> >> - Benjamin >> >> >> >> On Jan 14, 2021, at 10:44 PM, Benny M <chibe...@outlook.com> wrote: >> >> Slow loading can be sometimes be caused by non-optimized or overly >> complex queries. Look into prefetch_related and select_related for >> starters. https://docs.djangoproject.com/en/3.1/ref/models/querysets/ >> >> Django Debug Toolbar is also a great packages for examining the >> interaction between Django’s ORM and your database. >> >> Best, >> Benny >> >> On Jan 14, 2021, at 9:18 PM, Salima Begum <salim...@rohteksolutions.com> >> wrote: >> >> >> Hi all, >> >> We are building a Web application, We have a classifieds page that is >> loading too slow. How to fix this issue. how to reduce loading time of >> classifieds page. >> >> Thanks >> ~Salima >> >> -- >> You received this message because you are subscribed to the Google Groups >> "Django users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to django-users+unsubscr...@googlegroups.com. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/django-users/CAMSz6bnvP51oD_dfhY0YEWiGHGq3DbZ04u%2Bz6Vg_9sBPGvjgOw%40mail.gmail.com >> <https://groups.google.com/d/msgid/django-users/CAMSz6bnvP51oD_dfhY0YEWiGHGq3DbZ04u%2Bz6Vg_9sBPGvjgOw%40mail.gmail.com?utm_medium=email&utm_source=footer> >> . >> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "Django users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to django-users+unsubscr...@googlegroups.com. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/django-users/CH2PR14MB391358D987FFC8303F087CD5C0A70%40CH2PR14MB3913.namprd14.prod.outlook.com >> <https://groups.google.com/d/msgid/django-users/CH2PR14MB391358D987FFC8303F087CD5C0A70%40CH2PR14MB3913.namprd14.prod.outlook.com?utm_medium=email&utm_source=footer> >> . >> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "Django users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to django-users+unsubscr...@googlegroups.com. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/django-users/0B38486A-1A58-4FFF-A7FE-52FAB24099B6%40schollnick.net >> <https://groups.google.com/d/msgid/django-users/0B38486A-1A58-4FFF-A7FE-52FAB24099B6%40schollnick.net?utm_medium=email&utm_source=footer> >> . >> > -- > You received this message because you are subscribed to the Google Groups > "Django users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to django-users+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/django-users/CA%2BOi5F1dj95n1448Q3ueTfPjGwy5H%2BAj%3DXJ6uD348P8YhnLxPw%40mail.gmail.com > <https://groups.google.com/d/msgid/django-users/CA%2BOi5F1dj95n1448Q3ueTfPjGwy5H%2BAj%3DXJ6uD348P8YhnLxPw%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > > -- > You received this message because you are subscribed to the Google Groups > "Django users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to django-users+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/django-users/CH2PR14MB391358D75B8DE8E42A48107CC0A50%40CH2PR14MB3913.namprd14.prod.outlook.com > <https://groups.google.com/d/msgid/django-users/CH2PR14MB391358D75B8DE8E42A48107CC0A50%40CH2PR14MB3913.namprd14.prod.outlook.com?utm_medium=email&utm_source=footer> > . > -- You received this message because you are subscribed to the Google Groups "Django users" group. 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