How to change the storage engine of mysql to innodb
Two modification methods: 1. Use the SET statement to temporarily modify the default storage engine. The syntax is "SET default_storage_engine=innodb;". When the client is restarted, it will be restored to the original engine type. 2. Use the ALTER TABLE statement to modify the syntax "ALTER TABLE table name ENGINE=innodb;" to modify the engine type of the specified table to innodb.
The operating environment of this tutorial: windows7 system, mysql8 version, Dell G3 computer.
Two methods for mysql to modify the storage engine to innodb
1. Use the SET statement to temporarily modify
Use the following statement to modify the temporary default storage engine of the database:
SET default_storage_engine=< 存储引擎名 >
Example: Modify the default storage engine to innodb
SET default_storage_engine=innodb;
At this point, you can find that MySQL's default storage engine has become InnoDB. But when the client is restarted, it will revert to the original engine type.
Note: Prior to MySQL 5.5, MyISAM was the default storage engine when you created a table without explicitly specifying a storage engine. Starting with version 5.5, MySQL uses InnoDB as the default storage engine.
2. Use the ALTER TABLE statement to modify
The syntax format of the storage engine for modifying the data table in MySQL is as follows:
ALTER TABLE <表名> ENGINE=<存储引擎名>;
ENGINE keyword is used to specify a new storage engine.
Example demonstration
The storage engine of the data table contacts is modified to InnoDB.
Before modifying the storage engine, first use the SHOW CREATE TABLE statement to view the current storage engine of the contacts table
SHOW CREATE TABLE contacts \G
You can see that the current storage engine of the contacts table The engine is MyISAM.
Next, modify the storage engine of the contacts table to the InnoDB type. The SQL statement is:
ALTER TABLE contacts ENGINE=InnoDB;
Use the SHOW CREATE TABLE
statement to view the storage engine of the contacts table again, and you will find that The storage engine of the contacts table has become "InnoDB"
[Related recommendations: mysql video tutorial]
The above is the detailed content of How to change the storage engine of mysql to innodb. 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



MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

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 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.

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 and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

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
