国产av日韩一区二区三区精品,成人性爱视频在线观看,国产,欧美,日韩,一区,www.成色av久久成人,2222eeee成人天堂

Table of Contents
The basic structure of composite index
How to effectively utilize composite indexes?
Suggestions for creating composite indexes
Note: Common scenarios of index failure
Home Database Mysql Tutorial mysql composite index example

mysql composite index example

Jul 12, 2025 am 01:36 AM

MySQL composite index follows the principle of leftmost prefix, and the query condition must include the leftmost column of the index before it can hit the index. 1. The index structure is organized in the order of definition, such as (name, age, city) first sorted by name, and then subdivided in sequence; 2. The hit condition includes continuous combinations starting with the leftmost column, such as WHERE name=... or WHERE name=...AND age=...; 3. If the leftmost column is not included, it cannot be hit if only age or city is used; 4. When creating, the high-divided and commonly used query fields should be placed in front of it, and redundancy and excessive indexing should be avoided; 5. Using functions, OR without index support, fuzzy matching at the beginning of % will cause the index to fail.

mysql composite index example

The Composite Index of MySQL, also known as a joint index, refers to the index created on multiple columns of a table. The rational use of composite indexes can significantly improve query performance, but if you do not understand its principles, it may have a negative effect.

mysql composite index example

The basic structure of composite index

Composite indexes are organized in the order of columns when defined. For example, if you create an index (name, age, city) , then the index is sorted by name first, then sorted by age when name is the same, and finally sorted by city .

For example:

mysql composite index example
 CREATE INDEX idx_name_age_city ON users(name, age, city);

This statement will create a composite index on name , age , and city of the users table.

This structure determines that when you write query conditions, you should try to start using it from the leftmost column, otherwise the index may not take effect.

mysql composite index example

How to effectively utilize composite indexes?

The key to using composite indexes is the "leftmost prefix" principle. That is, the query condition must include the column on the leftmost index in order to hit the index.

Several common situations:

  • WHERE name = 'Tom' ? Can hit it
  • WHERE name = 'Tom' AND age = 25 ? Can hit
  • WHERE name = 'Tom' AND age > 20 AND city = 'Beijing' ? Can hit it
  • WHERE age = 25 AND city = 'Beijing' ? It will not hit because the leftmost column name is not used
  • WHERE city = 'Beijing' ? Also won't hit

Therefore, when designing a query statement, try to let the conditions start from the leftmost column of the composite index, so that it is possible to scan the index.


Suggestions for creating composite indexes

Creating a composite index does not just add a few columns together. There are a few practical suggestions:

  • Highly distinguished column front
    For example, compared with gender and age, the age difference is higher and more suitable for putting it in front.

  • Commonly used query fields are preferred
    If you often use (user_id, status) as query conditions, then these two fields are suitable for forming a composite index.

  • Avoid redundant indexing
    For example, if you already have (name, age) index, it will be unnecessary to create a (name) index separately, because the former can already cover the needs of the latter.

  • Don't over-create indexes
    Although indexing speeds up querying, it will also affect insertion and update performance. Especially for tables with more writing and less reading, the more indexes, the greater the burden.


Note: Common scenarios of index failure

Even if you create a composite index, if the query method is wrong, you still cannot hit the index:

  • Manipulate fields with functions or expressions, for example:
     WHERE YEAR(create_time) = 2023
  • OR and some conditions are not supported by index
  • There are fuzzy matches starting with % in the query, for example:
     WHERE name LIKE '%Tom'

    These will cause index failure and special attention is required.


    Basically that's it. Composite indexing is a good tool, but you have to use the right place and understand its structure and usage rules to truly give full play to your performance advantages.

    The above is the detailed content of mysql composite index example. 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

Undress AI Tool

Undress AI Tool

Undress images for free

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.

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)

What is the default username and password for MySQL? What is the default username and password for MySQL? Jun 13, 2025 am 12:34 AM

The default user name of MySQL is usually 'root', but the password varies according to the installation environment; in some Linux distributions, the root account may be authenticated by auth_socket plug-in and cannot log in with the password; when installing tools such as XAMPP or WAMP under Windows, root users usually have no password or use common passwords such as root, mysql, etc.; if you forget the password, you can reset it by stopping the MySQL service, starting in --skip-grant-tables mode, updating the mysql.user table to set a new password and restarting the service; note that the MySQL8.0 version requires additional authentication plug-ins.

What is GTID (Global Transaction Identifier) and what are its advantages? What is GTID (Global Transaction Identifier) and what are its advantages? Jun 19, 2025 am 01:03 AM

GTID (Global Transaction Identifier) ??solves the complexity of replication and failover in MySQL databases by assigning a unique identity to each transaction. 1. It simplifies replication management, automatically handles log files and locations, allowing slave servers to request transactions based on the last executed GTID. 2. Ensure consistency across servers, ensure that each transaction is applied only once on each server, and avoid data inconsistency. 3. Improve troubleshooting efficiency. GTID includes server UUID and serial number, which is convenient for tracking transaction flow and accurately locate problems. These three core advantages make MySQL replication more robust and easy to manage, significantly improving system reliability and data integrity.

How to change or reset the MySQL root user password? How to change or reset the MySQL root user password? Jun 13, 2025 am 12:33 AM

There are three ways to modify or reset MySQLroot user password: 1. Use the ALTERUSER command to modify existing passwords, and execute the corresponding statement after logging in; 2. If you forget your password, you need to stop the service and start it in --skip-grant-tables mode before modifying; 3. The mysqladmin command can be used to modify it directly by modifying it. Each method is suitable for different scenarios and the operation sequence must not be messed up. After the modification is completed, verification must be made and permission protection must be paid attention to.

What is a typical process for MySQL master failover? What is a typical process for MySQL master failover? Jun 19, 2025 am 01:06 AM

MySQL main library failover mainly includes four steps. 1. Fault detection: Regularly check the main library process, connection status and simple query to determine whether it is downtime, set up a retry mechanism to avoid misjudgment, and can use tools such as MHA, Orchestrator or Keepalived to assist in detection; 2. Select the new main library: select the most suitable slave library to replace it according to the data synchronization progress (Seconds_Behind_Master), binlog data integrity, network delay and load conditions, and perform data compensation or manual intervention if necessary; 3. Switch topology: Point other slave libraries to the new master library, execute RESETMASTER or enable GTID, update the VIP, DNS or proxy configuration to

How to connect to a MySQL database using the command line? How to connect to a MySQL database using the command line? Jun 19, 2025 am 01:05 AM

The steps to connect to the MySQL database are as follows: 1. Use the basic command format mysql-u username-p-h host address to connect, enter the username and password to log in; 2. If you need to directly enter the specified database, you can add the database name after the command, such as mysql-uroot-pmyproject; 3. If the port is not the default 3306, you need to add the -P parameter to specify the port number, such as mysql-uroot-p-h192.168.1.100-P3307; In addition, if you encounter a password error, you can re-enter it. If the connection fails, check the network, firewall or permission settings. If the client is missing, you can install mysql-client on Linux through the package manager. Master these commands

How does InnoDB implement Repeatable Read isolation level? How does InnoDB implement Repeatable Read isolation level? Jun 14, 2025 am 12:33 AM

InnoDB implements repeatable reads through MVCC and gap lock. MVCC realizes consistent reading through snapshots, and the transaction query results remain unchanged after multiple transactions; gap lock prevents other transactions from inserting data and avoids phantom reading. For example, transaction A first query gets a value of 100, transaction B is modified to 200 and submitted, A is still 100 in query again; and when performing scope query, gap lock prevents other transactions from inserting records. In addition, non-unique index scans may add gap locks by default, and primary key or unique index equivalent queries may not be added, and gap locks can be cancelled by reducing isolation levels or explicit lock control.

How to alter a large table without locking it (Online DDL)? How to alter a large table without locking it (Online DDL)? Jun 14, 2025 am 12:36 AM

Toalteralargeproductiontablewithoutlonglocks,useonlineDDLtechniques.1)IdentifyifyourALTERoperationisfast(e.g.,adding/droppingcolumns,modifyingNULL/NOTNULL)orslow(e.g.,changingdatatypes,reorderingcolumns,addingindexesonlargedata).2)Usedatabase-specifi

What are the transaction isolation levels in MySQL, and which is the default? What are the transaction isolation levels in MySQL, and which is the default? Jun 23, 2025 pm 03:05 PM

MySQL's default transaction isolation level is RepeatableRead, which prevents dirty reads and non-repeatable reads through MVCC and gap locks, and avoids phantom reading in most cases; other major levels include read uncommitted (ReadUncommitted), allowing dirty reads but the fastest performance, 1. Read Committed (ReadCommitted) ensures that the submitted data is read but may encounter non-repeatable reads and phantom readings, 2. RepeatableRead default level ensures that multiple reads within the transaction are consistent, 3. Serialization (Serializable) the highest level, prevents other transactions from modifying data through locks, ensuring data integrity but sacrificing performance;

See all articles