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 9156677
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: June 17, 20262026-06-17T12:49:36+00:00 2026-06-17T12:49:36+00:00

I have a mySQL table that includes the following three columns: IDENT, TIME, and

  • 0

I have a mySQL table that includes the following three columns: IDENT, TIME, and USER. All are type varchar. For example:

IDENT = someuser::24::myisp.net::us
TIME = 2012-11-05 1:45:42
USER = someuser

What I’m trying to do is to count the number of distinct IDENTs in the past 5 days. I tried the following, but it fails (not all distinct IDENTs pulled):

SELECT DISTINCT(IDENT)
     , (  UNIX_TIMESTAMP(now()) 
        - UNIX_TIMESTAMP(STR_TO_DATE(TIME, '%Y-%m-%d %H:%i:%s'))
       ) / 86400 AS numdays
FROM `PS_LOGIN_LOG` 
WHERE `USER` = 'someuser' 
GROUP BY IDENT
HAVING `numdays` <= 5
  • 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
    2026-06-17T12:49:37+00:00Added an answer on June 17, 2026 at 12:49 pm

    It’s not entirely clear what you mean by “in the past 5 days“, but something along the following lines should do the trick:

    SELECT COUNT(DISTINCT IDENT)
    FROM   PS_LOGIN_LOG
    WHERE  USER = 'someuser'
       AND TIME >= CURRENT_DATE - INTERVAL 5 DAY
       AND TIME <  CURRENT_DATE + INTERVAL 1 DAY
    
    • 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 defines values for a specific customer type. |
I have a mysql table that has 2 columns - Column 1 contains a
I have the following MySQL table fields: description1 , description2 , description3 : Varchar(500)
I have an html table that includes 7 columns. Data is pulled from an
In one of my MySQL tables, I have following columns: Skills varchar(80) Industry varchar(40)
I have a database table of all zipcodes in the US that includes city,state,latitude
I have a table of user-generated content that includes an ENUM format column for
I have mysql table that has a column that stores xml as a string.
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

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.