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Editorial Team
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Editorial Team
Asked: May 22, 20262026-05-22T23:38:33+00:00 2026-05-22T23:38:33+00:00

I want to fetch all duplicate values in sql. I searched at many places,

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I want to fetch all duplicate values in sql. I searched at many places, but I don’t get what I exactly want. My table is like this:

company_id | supplier_id | company_name | organisation_no | type | sold_date
----------------------------------------------------------------------------
121234     | 934575      | fgdf         | 12345           | sold | 2011-12-2
214365     | 423234      | sdgd         | 5678            | sold | 2011-12-2
546534     | 234234      | bvcv         | 3333            | sold | 2011-12-2
276345     | 243324      | dfgd         | 12345           | sold | 2011-12-2
432642     | 567647      | ghmj         | 12345           | sold | 2011-12-2
846578     | 365356      | egff         | 3333            | sold | 2011-12-2
254334     | 346535      | yuuy         | 7890            | sold | 2011-12-2

The solution I found is like this:

organisarion_no | count(organisation_no)
----------------------------------------
3333            | 2
12345           | 3

But I want exactly like this:

company_id | supplier_id | company_name | organisation_no | type | sold_date
----------------------------------------------------------------------------
546534     | 234234      | bvcv         | 3333            | sold | 2011-12-2
846578     | 365356      | egff         | 3333            | sold | 2011-12-2
121234     | 934575      | fgdf         | 12345           | sold | 2011-12-2
276345     | 243324      | dfgd         | 12345           | sold | 2011-12-2
432642     | 567647      | ghmj         | 12345           | sold | 2011-12-2

Please help. Thanks in advance.

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  1. Editorial Team
    Editorial Team
    2026-05-22T23:38:34+00:00Added an answer on May 22, 2026 at 11:38 pm
    select * from your_table
    where organization_no in 
       (select organization_no 
       from your_table
       group by organization_no
       having count(*) > 1)
    
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