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Home/ Questions/Q 8940117
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Editorial Team
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Editorial Team
Asked: June 15, 20262026-06-15T10:57:56+00:00 2026-06-15T10:57:56+00:00

Need some help from a MySQL expert here. I have a terrible database to

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Need some help from a MySQL expert here. I have a terrible database to work with and I’m trying to fix the structure a bit but this one has me baffled. The table initially had an id, name and 4 sell columns. I converted that to an id, name and single sell column as basically a pivot table. That was fine, next issue was to get rid of duplicates since not every entry had 4 sell entries.

So after the first operation I ended up with something like this:

id     name     sellid
1      bob      111
1      bob      
1      bob      
2      mary     112
2      mary     113
2      mary     114
2      mary     115
3      fred
3      fred
3      fred
3      fred

So by doing group by I managed to get it to the point where it looks like this:

id     name     sellid
1      bob      111
1      bob      
2      mary     112
2      mary     113
2      mary     114
2      mary     115
3      fred

Now here is where I hit a wall. Fred is fine, he is supposed to have an entry but no sellid, Mary is also fine she has all 4 sellids full. Bob is the issue. How do I remove the empty sellid for him without affecting Fred?

I’d say what I tried but I am just at a complete loss here so I really haven’t tried anything yet.

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  1. Editorial Team
    Editorial Team
    2026-06-15T10:57:57+00:00Added an answer on June 15, 2026 at 10:57 am

    You are looking for an outer join between your names and other data:

    SELECT * FROM
      (SELECT DISTINCT id, name FROM my_table) t1 NATURAL LEFT JOIN
      (SELECT * FROM my_table WHERE sellid IS NOT NULL) t2
    

    See it on sqlfiddle.

    But really, you should normalise your schema further so that you have a table of (personid, name) and a table of (personid, sellid) pairs (from which you essentially perform the above outer join as & when required to obtain the necessary records including NULLs).

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