Detailed explanation of unique constraints and NULL in MySQL
What is recorded here is a bug that happened a long time ago. It mainly introduces to you the relevant information about uniqueness constraints and NULL in MySQL. In the article The introduction is very detailed and has certain reference and learning value for everyone. Friends who need it can take a look below.
Preface
A requirement I made before, a simplified description is to accept MQ messages from other groups, and then insert a record into the database . In order to prevent them from repeatedly sending messages and inserting multiple duplicate records, a unique index was added to several columns in the table.
CREATE UNIQUE INDEX IDX_UN_LOAN_PLAN_APP ON testTable (A, B, C);
At this time, the three columns A, B, and C do not allow NULL values, and the unique constraint also works.
Later, due to changes in requirements, the previous uniqueness constraint was modified and an additional column was added. (I won’t go into details as to why.)
ALTER TABLE testTable DROP INDEX IDX_UN_LOAN_PLAN_APP, ADD UNIQUE KEY `IDX_UN_LOAN_PLAN_APP` (A, B, C, D);
The newly added D is of type datetime, which is allowed to be NULL and the default value is NULL. The reason why the default value is NULL is because not all records have this time. If you forcibly set a Magic Value (such as '1970-01-01 08:00:00') as the default value, it will look strange.
Blue Queen. . . Something went wrong. After adding D, the uniqueness constraint is basically invalid.
Insert into testTable (A,B,C,D) VALUES (1,2,3,NULL); --- OK Insert into testTable (A,B,C,D) VALUES (1,2,3,NULL); --- OK Insert into testTable (A,B,C,D) VALUES (1,2,3,NULL); --- OK
The above three SQLs can all be executed successfully, and there will be multiple identical records in the database. According to our previous idea, the 'Duplicate key' exception should be thrown when executing the last two SQLs.
After checking, I found out that the MySQL official document has clearly stated this. The unique index allows the existence of multiple NULL values:
A UNIQUE index creates a constraint such that all values in the index must be distinct. An error occurs if you try to add a new row with a key value that matches an existing row. For all engines, a UNIQUE index allows multiple NULL values for columns that can contain NULL.
From the following table, It can be seen that no matter what type of storage engine is used, multiple NULLs are allowed to exist when creating a unique key. . . .
If you think about it carefully, it is actually quite reasonable. After all, NULL is considered to represent "unknown" in MySQL. In SQL, the comparison between any value and NULL returns NULL instead of TRUE, even the comparison between NULL and NULL returns NULL.
So we can only fix it. . . The solution is quite simple and crude. Just refresh the online data, set "1970-01-01 08:00:00" as the default value, and then change that column to not allow NULL, ahem.
Many people have discussed this issue on the MySQL official website. Some people think it is a bug of MySQL, while others think it is a feature. A link is attached.
MySQL Bugs: #8173: unique index allows duplicates with null values
Summary
The above is the detailed content of Detailed explanation of unique constraints and NULL in MySQL. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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



You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings

The methods for viewing SQL database errors are: 1. View error messages directly; 2. Use SHOW ERRORS and SHOW WARNINGS commands; 3. Access the error log; 4. Use error codes to find the cause of the error; 5. Check the database connection and query syntax; 6. Use debugging tools.

Apache connects to a database requires the following steps: Install the database driver. Configure the web.xml file to create a connection pool. Create a JDBC data source and specify the connection settings. Use the JDBC API to access the database from Java code, including getting connections, creating statements, binding parameters, executing queries or updates, and processing results.
