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Editorial Team
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Editorial Team
Asked: May 15, 20262026-05-15T11:13:09+00:00 2026-05-15T11:13:09+00:00

I’ve got a table in MySQL that looks roughly like: value | count ————-

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I’ve got a table in MySQL that looks roughly like:

value | count
-------------
Fred  | 7
FRED  | 1
Roger | 3
roger | 1

That is, it was created with string ops outside of MySQL, so the values are case- and trailing-whitespace-sensitive.

I want it to look like:

value | count
-------------
Fred  | 8
Roger | 4

That is, managed by MySQL, with value a primary key. It’s not important which one (of “Fred” or “FRED”) is kept.

I know how to do this in code. I also know how to generate a list of problem values (with a self-join). But I’d like to come up with a SQL update/delete to migrate my table, and I can’t think of anything.

If I knew that no pair of records had variants of one value, with the same count (like (“Fred”,4) and (“FRED”,4)), then I think I can do it with a self-join to copy the counts, and then an update to remove the zeros. But I have no such guarantee.

Is there something simple I’m missing, or is this one of those cases where you just write a short function outside of the database?

Thanks!

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  1. Editorial Team
    Editorial Team
    2026-05-15T11:13:10+00:00Added an answer on May 15, 2026 at 11:13 am

    Strangely, MySQL seems to do this for you. I just tested this in MySQL 5.1.47:

    create table c (value varchar(10), count int);
    insert into c values ('Fred',7), ('FRED',1), ('Roger',3), ('roger',1);
    
    select * from c;
    
    +-------+-------+
    | value | count |
    +-------+-------+
    | Fred  |     7 |
    | FRED  |     1 |
    | Roger |     3 |
    | roger |     1 |
    +-------+-------+
    
    select value, sum(count) from c group by value;
    
    +-------+------------+
    | value | sum(count) |
    +-------+------------+
    | Fred  |          8 |
    | Roger |          4 |
    +-------+------------+
    

    I was surprised to see MySQL transform the strings like that, and I’m not sure I can explain why it did that. I was expecting to have to get four distinct rows, and to have to use some string functions to map the values to a canonical form.

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