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Home/ Questions/Q 7089009
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Editorial Team
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Editorial Team
Asked: May 28, 20262026-05-28T07:52:13+00:00 2026-05-28T07:52:13+00:00

I’m trying to do multiple counts on the same column with different where like

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I’m trying to do multiple counts on the same column with different where like clauses.

I have figured out the base Queries for each of my like clauses but I need to combine them to produce one result.

select system_user, COUNT(details) from asset_log where details like 'Viewed';
select system_user, COUNT(details) from asset_log where details like 'Viewed Web%';
select system_user, COUNT(details) from asset_log where details like 'ThumbView';
select system_user, COUNT(details) from asset_log where details like 'Exported%';

I’m sure its possible, I just dont know how to do it. Any help would be appreciated.

Thanks In Advance

Update:

this Ended up working for me

select distinct system_user, 
    SUM(CASE WHEN details ='viewed' then 1 Else 0 end) AS viewed_count,
    SUM(CASE WHEN details Like 'Viewed Web%' then 1 Else 0 end) AS Web_count,
    SUM(CASE WHEN details = 'ThumbView' then 1 Else 0 end) AS ThumbView_count,
    SUM(CASE WHEN details Like 'Exported%' then 1 Else 0 end) AS Exported_count
from asset_log GROUP BY system_user; 

Thanks!

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-28T07:52:14+00:00Added an answer on May 28, 2026 at 7:52 am

    You can use SUM/Case to “pivot” the counts

    select system_user, 
    
        SUM(CASE WHEN details ='viewed' then 1 Else 0 end) viewed_count
        SUM(CASE WHEN details Like 'Viewed Web%' then 1 Else 0 end) Viewed Web_count
        SUM(CASE WHEN details = 'ThumbView' then 1 Else 0 end) ThumbView_count
        SUM(CASE WHEN details Like 'Exported%' then 1 Else 0 end) Exported_count
    from asset_log 
    where 
        details = 'viewed' or
        details like 'Viewed Web%' or
        details = 'ThumbView' or
        details like 'Exported%' 
     group by 
          system_user
    

    Note: I wouldn’t bother to use “Like” without the wild cards

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