I think I have a generally easy SQL problem I need help with. I have a table I need to use which has the following fields: pmsid, ssn, lname, fname, rc, and budcode. Some of these fields are obvious, the others aren't important to my question.
I need to list the records in this set that have duplicate first names and last names. So if Joe Blow appears twice, I want his name to be on this list. I also need to show the other fields in the record. Simple so far?
I created the following SQL statement, which correctly lists the first and last names of the records in question. If I include all fields, I get no records at all. Here is what works so far:
SELECT lname, fname FROM [Employee]
WHERE lname != ' 'AND fname != ' ' GROUP BY lname, fname HAVING COUNT(*) > 1
Then I tried to do the following to get the other fields listed, but I 开发者_开发知识库get an error, obviously:
SELECT * FROM [Employee]
WHERE lname, fname in
(SELECT lname, fname FROM [Employee]
WHERE lname != ' 'AND fname != ' '
GROUP BY lname, fname
HAVING COUNT(lname) > 1 and COUNT(fname) > 1)
ORDER BY lname, fname
I know I can't use multiple fields in the WHERE clause, but I'm not sure what else to try. Any thoughts?
I don't think you're that far off in your original solution, I'd just try appending the names to have one field instead of two, like:
SELECT * FROM [Employee]
WHERE lname + ', ' + fname in
(SELECT lname + ', ' + fname as fullname FROM [Employee]
WHERE lname != ' ' AND fname != ' '
GROUP BY lname + ', ' + fname
HAVING COUNT(*) > 1)
there are many other approaches which would also work, and a couple have been posted already.
Do you have an identity field or some other unique identifier for each row? If so, you could do a self join:
SELECT e.*
FROM Employee as E
INNER JOIN Employee as E2
ON e.fname = e2.fname and e.lname = e2.lname
WHERE e.id <> e2.id
You can use SUM aggregate function to achieve this: Sample Query:
SELECT *
FROM (
SELECT pmsid,
ssn,
lname,
fname,
rc,
budcode,
SUM(1) OVER(PARTITION BY lname, fname) tsum
FROM [Employee] a
) b
WHERE tsum > 1
Edit: Removed Order by Clause
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