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Home/ Questions/Q 7440181
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Editorial Team
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Editorial Team
Asked: May 29, 20262026-05-29T10:48:46+00:00 2026-05-29T10:48:46+00:00

I’ve got a table: select personID, categoryCode from entries; 6300936427 083 6314642671 084 6314742066

  • 0

I’ve got a table:

select personID, categoryCode from entries;

6300936427  083
6314642671  084
6314742066  081
6346724201  083
...

I can count the number of persons in each group by:

select categoryCode, count(e.ID)
from entries e
group by e.categoryCode
order by e.categoryCode;

060 56
062 15
081 377
082 374

I want to do the same calculation, but for some choosen categories I want to count them together. For instance I want if categoryCode IN (‘081’, ‘082’) I wish to count results for them. And my result set should be calculated as:

select ...

060 56
062 15
080 751 --(377 + 374) counts, that correspond to 081 and 082 categoryGroup

How can I archive this using Oracle analytical functions? (Oracle version 10)

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-29T10:48:47+00:00Added an answer on May 29, 2026 at 10:48 am

    Steven’s query can be rewritten:

    SELECT 
           CASE  
               WHEN t.categoryCode in ('083', '084') THEN '080' 
               ELSE t.categoryCode 
           END AS combinedCategoryCode, 
           count(e.id) AS combinedCount 
    FROM 
       entries t 
    GROUP BY  
           CASE  
               WHEN t.categoryCode in ('083', '084') THEN '080' 
               ELSE t.categoryCode 
           END 
    ORDER BY 1; 
    

    But: You can create a configuration table, config_categ

    categoryCode  categ_result
    060           060 
    062           062
    081           080
    082           080
    

    and the query will be:

    SELECT 
       c.categ_result, 
       count(e.id) AS combinedCount 
    FROM 
       entries t 
       join config_categ c on (t.categoryCode = c.categoryCode) 
    GROUP BY  
       c.categ_result    
    ORDER BY 1; 
    

    PS: You don’t need a analytic function for this. It is a simple group by.

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