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Home/ Questions/Q 8913725
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Editorial Team
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Editorial Team
Asked: June 15, 20262026-06-15T04:31:59+00:00 2026-06-15T04:31:59+00:00

I am executing a SQL query which scans couple of tables with million of

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I am executing a SQL query which scans couple of tables with million of rows.
What I was trying to implement was my select query should return result only if the result set contains only one row.
I knew these two approches to do it:

1) Use group by and then ‘having count( * )’

2) Use inner query which further uses ‘count( * ) over’

But both of these approches would hamper the performance.
I would like to know, if there is any other faster approach to do this. Let me know if you require more information.
Thanks.

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  1. Editorial Team
    Editorial Team
    2026-06-15T04:32:01+00:00Added an answer on June 15, 2026 at 4:32 am

    like this for a pure SQL way.

    select * 
      from (select c.*, count(*) over() cnt 
              from (select * from table where x = 'a' etc) c 
             where rownum <= 2) 
     where cnt = 1;
    

    of course, if your query has order by, it will have to scan the result set anyway (correct indexing + perhaps first rows hint will help if that is the case.)

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