Table of Contents
(1) Log in to the MySQL database
(2) Create database index_test
(3) Create table test_table1
(4) Create table test_table2, the storage engine is MyISAM
(5) Use the alter table statement to create a common index named ComDateIdx on the birth field of table test_table2
(6) Use the alter table statement to add a unique index named Uniqidx2 on the id field of table test_table2
(7) Use create index to create a combination named MultiColidx2 on the firstname and middlename fields. Index
(8) Use create index to create a full-text index named FTidx on the title field
(9) Use the alter table statement to delete the unique index named Uniqidx in the table test_table1
(10) Use the drop index statement to delete the combined index named MultiColidx2 in the table test_table2
Several points to note:
Home Database Mysql Tutorial Detailed explanation of how MySQL creates indexes (case)

Detailed explanation of how MySQL creates indexes (case)

Mar 24, 2021 am 09:59 AM
Create index

Detailed explanation of how MySQL creates indexes (case)

Case: Create the database index_test, create two data tables test_table1 and test_table2 in the index_test database according to the structure of the following table, and complete the data table according to the operation process basic operations.

(1) Log in to the MySQL database
(2) Create the database index_test
(3) Create the table test_table1
(4) Create the table test_table2, the storage engine is MyISAM
(5) Use the alter table statement to create a common index named ComDateIdx on the birth field of the table test_table2
(6) Use the alter table statement to add a unique index named UniqIdx2 on the id field of the table test_table2 and arrange it in descending order
(7) Use create index to create a combined index named MultiColidx2 on the firstname, middlename and lastname fields
(8) Use create index to create a full-text index named FTidx on the title field
(9) Use The alter table statement deletes the unique index named Uniqidx in the table test_table1
(10) Use the drop index statement to delete the combined index named MultiColidx2 in the table test_table2
A few points to note

( Free learning recommendations: mysql video tutorial)


(1) Log in to the MySQL database
C:\Users\Hudie>mysql -h localhost -u root -p
Enter password: *******
Copy after login
(2) Create database index_test
mysql> create database index_test;Query OK, 1 row affected (0.06 sec)mysql> use index_test;Database changed
Copy after login
(3) Create table test_table1
mysql> create table test_table1    -> (
    -> id int not null primary key auto_increment,
    -> name char(100) not null,
    -> address char(100) not null,
    -> description char(100) not null,
    -> unique index uniqidx(id),
    -> index MultiColidx(name(20),address(30) ),
    -> index Comidx(description(30))
    -> );Query OK, 0 rows affected (0.11 sec)mysql> show create table test_table1 \G*************************** 1. row ***************************
       Table: test_table1Create Table: CREATE TABLE `test_table1` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `name` char(100) NOT NULL,
  `address` char(100) NOT NULL,
  `description` char(100) NOT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `uniqidx` (`id`),
  KEY `MultiColidx` (`name`(20),`address`(30)),
  KEY `Comidx` (`description`(30))) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci1 row in set (0.06 sec)
Copy after login

You can see that 3 indexes were successfully created in the test_table table, each with the name uniqidx on the id field A unique index on the name and address fields; a normal index of length 30 on the description field.

(4) Create table test_table2, the storage engine is MyISAM
mysql> create table test_table2    -> (
    -> id int not null primary key auto_increment,
    -> firstname char(100) not null,
    -> middlename char(100) not null,
    -> lastname char(100) not null,
    -> birth date not null,
    -> title char(100) null
    -> )ENGINE=MyISAM;Query OK, 0 rows affected (0.07 sec)
Copy after login
(5) Use the alter table statement to create a common index named ComDateIdx on the birth field of table test_table2
mysql> alter table test_table2 add index ComDateidx(birth);Query OK, 0 rows affected (0.13 sec)Records: 0  Duplicates: 0  Warnings: 0
Copy after login
(6) Use the alter table statement to add a unique index named Uniqidx2 on the id field of table test_table2
mysql> alter table test_table2 add unique index Uniqidx(id);Query OK, 0 rows affected (0.11 sec)Records: 0  Duplicates: 0  Warnings: 0
Copy after login
(7) Use create index to create a combination named MultiColidx2 on the firstname and middlename fields. Index
mysql>  create index MultiColidx2 on test_table2(firstname,middlename);Query OK, 0 rows affected (0.12 sec)Records: 0  Duplicates: 0  Warnings: 0
Copy after login
(8) Use create index to create a full-text index named FTidx on the title field
mysql> create fulltext index ftidx on test_table2(title);Query OK, 0 rows affected (0.13 sec)Records: 0  Duplicates: 0  Warnings: 0
Copy after login
(9) Use the alter table statement to delete the unique index named Uniqidx in the table test_table1
mysql> alter table test_table1 drop index uniqidx;Query OK, 0 rows affected (0.09 sec)Records: 0  Duplicates: 0  Warnings: 0
Copy after login
(10) Use the drop index statement to delete the combined index named MultiColidx2 in the table test_table2
mysql> drop index MultiColidx2 on test_table2;Query OK, 0 rows affected (0.12 sec)Records: 0  Duplicates: 0  Warnings: 0
Copy after login
Several points to note:

1. Indexes are so important to the performance of the database , how to use it?

  • If there are fewer index columns, less disk space and maintenance overhead are required.
  • If multiple combination indexes are created on a large table, the index file will also expand quickly. In addition, there are more indexes, which can cover more queries.
  • Attempt to add, delete, or modify indexes without affecting the database schema or application design.

2. Try to use short indexes

  • to index string type fields. If possible, you should specify a prefix length. For example, if you have a char(255) column, if most values ​​are unique within the first 10 or 30 characters, there is no need to index the entire column.
  • Short indexes can not only improve query speed, but also save disk space and reduce I/O operations.

Related free learning recommendations: mysql database(Video)

The above is the detailed content of Detailed explanation of how MySQL creates indexes (case). For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

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.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

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.

The relationship between mysql user and database The relationship between mysql user and database Apr 08, 2025 pm 07:15 PM

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Can mysql and mariadb coexist Can mysql and mariadb coexist Apr 08, 2025 pm 02:27 PM

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

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.

See all articles