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Delete mysql duplicate data

May 20, 2023 am 10:05 AM

When performing database operations, it is very common to encounter duplicate data. For MySQL database, when duplicate data appears in the table, we often need to delete it. In this article, we will introduce how to use MySQL statements to delete duplicate data.

1. Find duplicate data

Before performing the deletion operation, you first need to determine which data is duplicated. We can query duplicate data in the table through the SELECT statement. The following is a sample query statement:

SELECT field 1, field 2, COUNT(*) as count
FROM table name
GROUP BY field 1, field 2
HAVING COUNT(*) > 1;

This code will return all duplicate data, where count represents the number of times the current data appears in the table. We can take targeted actions based on the results.

2. Delete duplicate data

After determining which duplicate data to delete, we can use the DELETE statement to perform the deletion operation. The following is an example delete statement:

DELETE FROM table name
WHERE repeated field NOT IN (

SELECT MIN(重复字段)
FROM 表名
GROUP BY 字段1, 字段2

);

In this statement, we use a subquery method, returns the minimum value of each repeated field. Then we use the WHERE statement to exclude these minimum values, leaving only duplicate data, and finally use the DELETE statement to delete.

3. Precautions

  1. Before performing the deletion operation, please be sure to back up the data to avoid irreparable losses caused by accidental deletion of data.
  2. When performing a deletion operation, please carefully check whether the WHERE conditions are correct to avoid accidentally deleting non-duplicate data.
  3. When performing a deletion operation, please ensure that the deleted data is indeed duplicate data and has no impact on business logic.

4. Summary

In the MySQL database, deleting duplicate data is a common requirement. We can query duplicate data through the SELECT statement, and then use the DELETE statement to delete it. When performing a deletion operation, be sure to back up the data and carefully check the WHERE conditions to avoid accidentally deleting non-duplicate data.

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