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Home/ Questions/Q 8381677
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Editorial Team
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Editorial Team
Asked: June 9, 20262026-06-09T16:44:46+00:00 2026-06-09T16:44:46+00:00

I’m digging into a legacy code (C++/Qt) which uses SQL(uses Oracle 11g) a lot.

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I’m digging into a legacy code (C++/Qt) which uses SQL(uses Oracle 11g) a lot. I’ve come with this piece of code(just changed variables name and write it in multiple lines for a better readability):

insert into FOO_TABLE (BEGIN, FIRST_VALUE, SECOND_VALUE, VALUE, BAR) select 
999, 
D.FIRST, 
(select O.SECOND from TABLE_TWO O where O.ID=555), 
333, 
444 
from TABLE_ONE D where D.ID=666

This in the form of INSERT INTO ... SELECT ...

Now it seems here “select” is used together with insert to retreive and create a row with a single line. However the syntax seems awkward. I changed it to:

insert into FOO_TABLE (BEGIN, FIRST_VALUE, SECOND_VALUE, VALUE, BAR) values (
999, 
(select D.FIRST from TABLE_ONE D where D.ID=666), 
(select O.SECOND from TABLE_TWO O where O.ID=555), 
333, 
444) 

And this one works without any problem. This is in the form of INSERT INTO ... VALUES ...

Is there any difference in terms of performance or anything else? Because the second line seems more natural to me.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-09T16:44:47+00:00Added an answer on June 9, 2026 at 4:44 pm

    The difference is the cardinality of the result sets.

    The first statement will work regardless of how many rows in TABLE_ONE match D.ID=666. Whereas the second statement will fail if more than one row is returned.

    For completeness there is a third variation:

    insert into FOO_TABLE (BEGIN, FIRST_VALUE, SECOND_VALUE, VALUE, BAR) select  
    999,  
    D.FIRST,  
    O.SECOND,  
    333,  
    444  
    from TABLE_ONE D 
        cross join TABLE_TWO  O
    where O.ID=555
    and D.ID=666   
    

    The Oracle optimizer is clever enough to know whether TABLE_TWO is matching on a unique key and will draw up an execution plan accordingly.


    With regards to relative performance all variations ought to be the same. Certainly this is what I woudl expect if both queries return a single row each. There might be differences if TABLE_ONE returns multiple rows. As always, when it comes to tuning queries, you would have to benchmark each approach, as execution times are sensitive to data volumes and skew.

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