The customers table below has duplicate names inserted under different IDs:
| id | name | |
|---|---|---|
| 1 | John Doe | john@teratrax.com |
| 2 | Mark Smith | marks@teratrax.com |
| 3 | John Doe | jdoe@company.com |
The following SQL query returns a list of these rows and the number of times they occur (replace bold words to fit your table structure):
SELECT name, COUNT(*) AS counter
FROM customers
GROUP BY name
HAVING COUNT (*) > 1
Query result:
| name | counter |
|---|---|
| John Doe | 2 |
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