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 6102583
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 23, 20262026-05-23T13:37:51+00:00 2026-05-23T13:37:51+00:00

I have a mysql table that has 2796 entries. I’d like to select entries

  • 0

I have a mysql table that has 2796 entries. I’d like to select entries that doesn’t contain the word SUPPR somewhere in the notes field.

If I do the following

SELECT * FROM `catalogues` WHERE notes LIKE "%SUPPR%"

It returns 266 row. But if I write what I consider the complement

SELECT * FROM `catalogues` WHERE notes not LIKE "%SUPPR%"

it returns 762 rows when I was expecting 2530 (2796-266).

How should I write the second request to get what I need?

  • 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
    2026-05-23T13:37:51+00:00Added an answer on May 23, 2026 at 1:37 pm

    Nulls are implicitly excluded when you use NOT LIKE.
    You handle separately:

    SELECT * 
      FROM `catalogues` 
     WHERE (notes NOT LIKE "%SUPPR%" 
            OR notes IS NULL);
    

    Perhaps this was only for illustrative purposes that you used it…
    DBAs and performance-buffs recommend against using SELECT *.

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

Sidebar

Related Questions

I have a mySQL table that has a column like this: ID ----- 0352
I have a Mysql table that has 12 columns. Some of them contain 20-30
I have mysql table that has a column that stores xml as a string.
I have a MySQL table that has a field of comma separated values. How
I have a mysql table that has 2 columns - Column 1 contains a
Let's say I have 3 MySQL table. A song db called songs that has
Lets say I have a table in MySQL called articles, that has a column
I have a MySQL table that looks something like this: +-----+------------+ | id |
I have a mysql table that looks like this: id col2 col3 col4 1
I have a MySQL table that holds many entries with repeated IDs (for various

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.