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2025-09-26 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Database >
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This article to share with you is about MySQL how to delete single table duplicate records, Xiaobian think quite practical, so share to everyone to learn, I hope you can read this article after some harvest, not much to say, follow Xiaobian to see it.
1. Create table test001
Click here to fold or open
CREATE TABLE `test001` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
2. Random write data guide table test001
insert into test001 (name) values('A');
insert into test001 (name) values('B');
insert into test001 (name) values('C');
insert into test001 (name) values('d');
3. Query the whole table data
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select * from test001;
+----+------+
| id | name |
+----+------+
| 1 | A |
| 2 | A |
| 3 | A |
| 4 | A |
| 5 | A |
| 6 | A |
| 7 | A |
| 8 | A |
| 9 | B |
| 10 | B |
| 11 | B |
| 12 | B |
| 13 | B |
| 14 | B |
| 15 | C |
| 16 | C |
| 17 | C |
| 18 | C |
| 19 | d |
| 20 | d |
| 21 | d |
| 22 | d |
| 23 | d |
+----+------+
23 rows in set (0.00 sec)
4. Execute SQL to delete duplicate records and keep only the records with the smallest id
DELETE FROM Test001 WHERE id NOT IN (
SELECT minid FROM
(SELECT min(id) AS minidFROM Test001
GROUP BYname) b
);
Click here to fold or open
>DELETE
-> FROM
-> Test001
-> WHERE
-> id NOT IN (
-> SELECT
-> minid
-> FROM
-> (
-> SELECT
-> min(id) AS minid
-> FROM
-> Test001
-> GROUP BY
-> name
-> ) b
-> );
Query OK, 19 rows affected (0.00 sec)
(root@localhost:mysql.sock) [test]>select * from test001;
+----+------+
| id | name |
+----+------+
| 1 | A |
| 9 | B |
| 15 | C |
| 19 | d |
+----+------+
4 rows in set (0.00 sec)
5. After execution, duplicate records are deleted.
Click here to fold or open
(root@localhost:mysql.sock) [test]>select * from test001;
+----+------+
| id | name |
+----+------+
| 1 | A |
| 9 | B |
| 15 | C |
| 19 | d |
+----+------+
4 rows in set (0.00 sec)
The above is how to delete duplicate records in a single table in MySQL. Xiaobian believes that some knowledge points may be seen or used in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.
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