Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 8943437
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: June 15, 20262026-06-15T11:46:11+00:00 2026-06-15T11:46:11+00:00

I am writing backend code in PHP where there are client requests and I

  • 0

I am writing backend code in PHP where there are client requests and I have to show them a collection of users based on priority amongst many thousand users.

My Problem is this: since the queries are too heavy requiring a lot of inner joins and comparisons, that will make the code very slow and the response will consume a lot of time.

Can you suggest a method by which I can accumulate all the users, perform all queries and calculations without affecting the request and response times?

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-06-15T11:46:12+00:00Added an answer on June 15, 2026 at 11:46 am

    You can try a technique called Materialized views, i.e. doing precomputations into some tables containing agregates and using the agregates to speed up your online query. On the other hand, if the data you’re basing your computation on, is changing often, this technique won’t be of much help.

    Look here for some more details on the subject: http://www.fromdual.com/mysql-materialized-views

    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I am writing a prototype auction/listings project in PHP (MySQL backend). I have a
I have spent most of my development career writing backend code, or front-end apps
Does anyone have some good hints for writing test code for database-backend development where
In writing my smart client application I currently have 2 separate solutions. MyApp.BackEnd and
I am writing an Android app which communicates with a PHP backend. The backend
I have an application I’m writing in access with a SQL server backend. One
EDIT: Yields that there is already new PHP framework written as extension. http://code.google.com/p/yafphp ,
Hi there: I have been writing an iOS program which uses many http queries
I am writing a program that must communicate with a PHP / web based
I have backend code written in Java. The code has about 12 classes. However

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.