很全面的MySQL处理重复数据代码_MySQL
有些 MySQL 数据表中可能存在重复的记录,有些情况我们允许重复数据的存在,但有时候我们也需要删除这些重复的数据。
本章节我们将为大家介绍如何防止数据表出现重复数据及如何删除数据表中的重复数据。
一、防止表中出现重复数据
你可以在MySQL数据表中设置指定的字段为 PRIMARY KEY(主键) 或者 UNIQUE(唯一) 索引来保证数据的唯一性。
让我们尝试一个实例:下表中无索引及主键,所以该表允许出现多条重复记录。
1 2 3 4 5 6 |
|
如果你想设置表中字段first_name,last_name数据不能重复,你可以设置双主键模式来设置数据的唯一性, 如果你设置了双主键,那么那个键的默认值不能为NULL,可设置为NOT NULL。如下所示:
1 2 3 4 5 6 7 |
|
如果我们设置了唯一索引,那么在插入重复数据时,SQL语句将无法执行成功,并抛出错。
INSERT IGNORE INTO与INSERT INTO的区别就是INSERT IGNORE会忽略数据库中已经存在的数据,如果数据库没有数据,就插入新的数据,如果有数据的话就跳过这条数据。这样就可以保留数据库中已经存在数据,达到在间隙中插入数据的目的。
以下实例使用了INSERT IGNORE INTO,执行后不会出错,也不会向数据表中插入重复数据:
1 2 3 4 5 6 |
|
INSERT IGNORE INTO当插入数据时,在设置了记录的唯一性后,如果插入重复数据,将不返回错误,只以警告形式返回。 而REPLACE INTO into如果存在primary 或 unique相同的记录,则先删除掉。再插入新记录。
另一种设置数据的唯一性方法是添加一个UNIQUE索引,如下所示:
1 2 3 4 5 6 7 |
|
二、统计重复数据
以下我们将统计表中 first_name 和 last_name的重复记录数:
1 2 3 4 |
|
以上查询语句将返回 person_tbl 表中重复的记录数。 一般情况下,查询重复的值,请执行以下操作:
1、确定哪一列包含的值可能会重复。
2、在列选择列表使用COUNT(*)列出的那些列。
3、在GROUP BY子句中列出的列。
4、HAVING子句设置重复数大于1。
三、过滤重复数据
如果你需要读取不重复的数据可以在 SELECT 语句中使用 DISTINCT 关键字来过滤重复数据。
1 2 3 |
|
你也可以使用 GROUP BY 来读取数据表中不重复的数据:
1 2 3 |
|
四、删除重复数据
如果你想删除数据表中的重复数据,你可以使用以下的SQL语句:
1 2 3 4 5 |
|
当然你也可以在数据表中添加 INDEX(索引) 和 PRIMAY KEY(主键)这种简单的方法来删除表中的重复记录。方法如下:
1 2 |
|
以上就是关于MySQL处理重复数据的全部内容,希望对大家的学习有所帮助。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
