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Table of Contents
2. Use GROUP BY HAVING to find duplicates
3. Handle the situation of duplication of compound fields
Home Database Mysql Tutorial How to find duplicate records in a MySQL table?

How to find duplicate records in a MySQL table?

Jun 26, 2025 am 10:45 AM

To find duplicate records in MySQL, you need to use the GROUP BY and HAVING clauses. 1. First, clearly determine the duplicate key fields, such as single fields such as email or name, or combinations of multiple fields; 2. Use the SELECT field COUNT() to combine GROUP BY and HAVING COUNT()>1 to filter duplicate values, such as SELECT email FROM users GROUP BY email HAVING COUNT()>1; 3. If you need to display specific duplicate records, you can implement them through JOIN subquery, such as SELECT u. FROM users u JOIN (SELECT email FROM users GROUP BY email HAVING COUNT(*)>1) dup ON u.email=dup.email; 4. When dealing with duplication of composite fields, add multiple fields after GROUP BY, such as GROUP BY name, email; at the same time, you need to pay attention to performance, accidentally delete data, etc., to avoid errors that may be caused by using DISTINCT or COUNT (field).

How to find duplicate records in a MySQL table?

The core of finding duplicate records in MySQL is to use GROUP BY and HAVING clauses to identify multiple records with the same key fields. The key is that you need to first clarify which field combinations constitute the judgment criteria for "repeat".


1. Confirm duplicate standard fields

It is not that the entire row of data is considered duplicate only if it is exactly the same. Usually, we judge whether it is duplicate based on certain key fields (such as email , name , or multiple fields combinations).

For example, if you have a user table:

 CREATE TABLE users (
    id INT PRIMARY KEY,
    name VARCHAR(100),
    email VARCHAR(100)
);

If you want to find the same record email , then the basis for duplication is email field.

If it is a compound condition, such as if the name and email are the same, it is considered duplicate, and (name, email) joint judgment should be used.


2. Use GROUP BY HAVING to find duplicates

The basic syntax is as follows:

 SELECT email, COUNT(*) AS cnt
FROM users
GROUP BY email
HAVING cnt > 1;

This statement lists all duplicate email values. If you want to see a specific duplicate record, you can write it like this:

 SELECT u.*
FROM users u
JOIN (
    SELECT email
    FROM users
    GROUP BY email
    HAVING COUNT(*) > 1
) dup ON u.email = dup.email
ORDER BY u.email;

This way, every duplicate record can be listed.

Tips: If you only want to see other records other than one in each duplicate group, you can add u.id NOT IN (...) to the result to exclude the primary key.


3. Handle the situation of duplication of compound fields

When the repetition is based on multiple fields, you only need to add multiple fields after GROUP BY . For example:

 SELECT name, email, COUNT(*)
FROM users
GROUP BY name, email
HAVING COUNT(*) > 1;

This method is suitable for cases where you think that the "name and email" are the same as the same.

If you want to delete some of the data in these duplicate records, be careful. It is recommended to check it out before deleting it.


4. Common misunderstandings and precautions

  • Don't use DISTINCT to check duplicates : it can only display the results, and it cannot help you find duplicates in the original data.
  • * COUNT( ) vs COUNT(field)* : Generally, `COUNT( )` is more accurate when looking for duplicates , because some fields may be NULL.
  • Note performance issues : If the table is very large, doing GROUP BY fields without indexes may cause slow queries.
  • Avoid accidentally deleting data : Before deleting duplicate records, it is best to back up the data or verify SQL in the test environment.

Basically these are the methods. The key is to figure out "what field to judge duplication", and then filter out records with a number of more than 1 through the aggregate function.

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