The index in MySQL means index. It is a data structure used to speed up the query of database tables. The index can be compared to the catalog of a book, which stores the values of specific columns in the table and the corresponding rows. location, enabling the database to locate and access data faster. The function of the index is to improve query efficiency. Without an index, the database needs to scan the entire table row by row to find matching data. This method will be very time-consuming in large tables. With an index, the database can The required data rows are quickly located in the order, which greatly improves the query speed.
The index in MySQL is a data structure used to speed up querying of database tables. Indexes can be compared to the table of contents of a book. They store the values of specific columns in the table and the corresponding row positions, allowing the database to locate and access data faster.
The function of index is to improve query efficiency. Without indexes, the database needs to scan the entire table row by row to find matching data, which can be very time-consuming in large tables. With the index, the database can quickly locate the required data rows according to the order of the index, thus greatly improving the query speed.
Indexes in MySQL can be divided into primary key indexes and non-primary key indexes. The primary key index is a unique index that is used to identify each row of data in the table, ensuring that each row has a unique identity. Non-primary key indexes are indexes created on other columns in the table. Multiple non-primary key indexes can be created according to different query requirements.
You can use the CREATE INDEX statement to create an index. The syntax is as follows:
CREATE [UNIQUE] INDEX index_name ON table_name (column1, column2, ...);
Among them, index_name is the name of the index, table_name is the name of the table to create the index, column1, column2, etc. are to create the index. Column name. If you use the UNIQUE keyword, it means that the created index is a unique index, that is, the value of the index column is guaranteed to be unique.
In addition to using the CREATE INDEX statement to create an index, you can also use the ALTER TABLE statement to add an index. The syntax is as follows:
ALTER TABLE table_name ADD [UNIQUE] INDEX index_name (column1, column2, ...);
Using indexes can speed up the query, but it will also increase the data storage space and The time of the write operation. Therefore, when creating an index, you need to balance query efficiency and storage space requirements to avoid performance degradation caused by excessive use of indexes.
In addition, when updating, inserting and deleting operations on the table, the index also needs to be maintained accordingly. Therefore, when designing a database, the selection and use of indexes need to be considered to improve the overall performance of the database.
In short, index is an important concept in MySQL, which can improve the query efficiency of the database. By properly creating and using indexes, you can speed up queries and improve the response performance of the system. But at the same time, you also need to pay attention to the storage space and maintenance costs of the index to avoid performance degradation caused by overuse of the index.
The above is the detailed content of what is mysql index. For more information, please follow other related articles on the PHP Chinese website!

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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

Dreamweaver CS6
Visual web development tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 Linux new version
SublimeText3 Linux latest version

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

WebStorm Mac version
Useful JavaScript development tools