The first way is easy and not a good way to do in big data. We will look at the second one what save time and server resource. We just need to execute these sql query

If you want to keep the row with the lowest id value

Let ‘s use one of these SQL

DELETE n1 FROM names n1, names n2 WHERE n1.id > n2.id AND n1.name = n2.name

or

DELETE FROM NAMES
WHERE id NOT IN (SELECT *
FROM (SELECT MIN(n.id)
FROM NAMES n
GROUP BY n.name) x)

If you want the id value that is the highest

DELETE n1 FROM names n1, names n2 WHERE n1.id < n2.id AND n1.name = n2.name

or

DELETE FROM NAMES
WHERE id NOT IN (SELECT *
FROM (SELECT MIN(n.id)
FROM NAMES n
GROUP BY n.name) x)

Now time to enjoy the result. Check it out and tell us if you meet any problem.

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