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 4592296
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 21, 20262026-05-21T22:31:06+00:00 2026-05-21T22:31:06+00:00

This might be a silly question but i just want to make this clear.

  • 0

This might be a silly question but i just want to make this clear. Does it take longer to preform a SQL query if each row has a large amount of data inside of it?

For instance if i’ve like 2000 bytes worth of data stored as an blob (we call the colum “Data”) in a row of a table containing 10 000 rows as a total (all of them similar with the blob size of “Data”) . Will it then take longer to process of an search if i only search for the ID for one row e.g does the server have to like process the whole information stored in each colum of every row it passes by?

  • 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
    2026-05-21T22:31:07+00:00Added an answer on May 21, 2026 at 10:31 pm

    In general if your ID column is the primary key on the table (or at least has an index) then a simple query like

    SELECT ID,Data FROM Table WHERE ID = 1
    

    will be just as fast no matter the size of the Data column

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

Sidebar

Related Questions

this question might sound silly to some but i just had to make sure.
This might be a silly question, but I just wanted to know. I want
This might be a silly question but does ARC (automatic reference counting) interact with
This might just come as a very silly question, but i am really frustrated
Hello this might be really silly question but I am trying to make markers
This might sound like a silly question but how would I make this code
This might be a silly a question. But I am just curious to know
This might be kind of a silly question, but in C++, when I want
This might be a silly question but it just popped up in my mind.
This might be a silly question, but I want to ask if there is

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.