Table of Contents
Golang Function: The Art of Solving Deadlock
sync.Mutex
sync.RWMutex
Deadlock Example
Prevent deadlock
Practical case
Home Backend Development Golang The art of solving deadlocks with golang functions

The art of solving deadlocks with golang functions

Apr 25, 2024 pm 09:21 PM
mysql golang deadlock concurrent access

Golang provides the following functions to solve the deadlock problem: sync.Mutex: Mutex lock, ensuring that only one thread can access protected resources at the same time. sync.RWMutex: Read-write lock, which allows multiple threads to read resources at the same time, but only allows one thread to write resources.

The art of solving deadlocks with golang functions

Golang Function: The Art of Solving Deadlock

Deadlock is often encountered in concurrent programming, that is, two or more processes or threads They compete with each other for resources, causing the program to reach a deadlock. Golang provides some functions to help solve deadlock problems, and this article will introduce the most commonly used functions.

sync.Mutex

sync.Mutex is a mutex lock, which ensures that only one thread can access protected resources at the same time. The syntax for using sync.Mutex is as follows:

import "sync"

var mu sync.Mutex

func main() {
    mu.Lock()
    // 访问受保护的资源
    mu.Unlock()
}
Copy after login

In the above example, the Lock() method blocks the thread until the lock is unlocked. Unlock() The method releases the lock, allowing other threads to access the protected resource.

sync.RWMutex

sync.RWMutex is a read-write lock that allows multiple threads to read resources at the same time, but only allows one thread to write to resources. The syntax for using sync.RWMutex is as follows:

import "sync"

var rwmu sync.RWMutex

func main() {
    rwmu.RLock()
    // 读取受保护的资源
    rwmu.RUnlock()

    rwmu.Lock()
    // 写入受保护的资源
    rwmu.Unlock()
}
Copy after login

In the above example, the RLock() method allows multiple threads to read resources simultaneously, while The Lock() method blocks the thread until the lock is unlocked.

Deadlock Example

The following is an example of a deadlock:

import "sync"

var mu1 sync.Mutex
var mu2 sync.Mutex

func f1() {
    mu1.Lock()
    mu2.Lock()
    // ...
}

func f2() {
    mu2.Lock()
    mu1.Lock()
    // ...
}
Copy after login

In this example, the functions f1() and f2( ) will try to compete for two mutex locks, eventually leading to deadlock.

Prevent deadlock

To prevent deadlock, you can use the following tips:

  • Avoid two threads trying to compete for the lock in the opposite order.
  • Only contend for necessary locks.
  • Use a timer or timeout mechanism to detect and break deadlocks.
  • Use sync.Once to ensure that the code is executed only once.

Practical case

In a concurrent web application, we can use sync.Mutex to protect access to the database:

import (
    "database/sql"
    "sync"
)

var db *sql.DB
var dbLock sync.Mutex

func init() {
    db, _ = sql.Open("mysql", "root:password@localhost:3306/test")
}

func GetUserData(userID int) (*User, error) {
    dbLock.Lock()
    defer dbLock.Unlock()

    // 从数据库中查询用户数据
}
Copy after login

By using sync.Mutex, we can ensure that only one thread can access the database connection at the same time, thus avoiding problems such as data inconsistency that may occur when accessing the database concurrently.

The above is the detailed content of The art of solving deadlocks with golang functions. 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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

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)

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.

RDS MySQL integration with Redshift zero ETL RDS MySQL integration with Redshift zero ETL Apr 08, 2025 pm 07:06 PM

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

How to fill in mysql username and password How to fill in mysql username and password Apr 08, 2025 pm 07:09 PM

To fill in the MySQL username and password: 1. Determine the username and password; 2. Connect to the database; 3. Use the username and password to execute queries and commands.

How to optimize MySQL performance for high-load applications? How to optimize MySQL performance for high-load applications? Apr 08, 2025 pm 06:03 PM

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

Query optimization in MySQL is essential for improving database performance, especially when dealing with large data sets Query optimization in MySQL is essential for improving database performance, especially when dealing with large data sets Apr 08, 2025 pm 07:12 PM

1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

How to copy and paste mysql How to copy and paste mysql Apr 08, 2025 pm 07:18 PM

Copy and paste in MySQL includes the following steps: select the data, copy with Ctrl C (Windows) or Cmd C (Mac); right-click at the target location, select Paste or use Ctrl V (Windows) or Cmd V (Mac); the copied data is inserted into the target location, or replace existing data (depending on whether the data already exists at the target location).

Understand ACID properties: The pillars of a reliable database Understand ACID properties: The pillars of a reliable database Apr 08, 2025 pm 06:33 PM

Detailed explanation of database ACID attributes ACID attributes are a set of rules to ensure the reliability and consistency of database transactions. They define how database systems handle transactions, and ensure data integrity and accuracy even in case of system crashes, power interruptions, or multiple users concurrent access. ACID Attribute Overview Atomicity: A transaction is regarded as an indivisible unit. Any part fails, the entire transaction is rolled back, and the database does not retain any changes. For example, if a bank transfer is deducted from one account but not increased to another, the entire operation is revoked. begintransaction; updateaccountssetbalance=balance-100wh

How to view mysql How to view mysql Apr 08, 2025 pm 07:21 PM

View the MySQL database with the following command: Connect to the server: mysql -u Username -p Password Run SHOW DATABASES; Command to get all existing databases Select database: USE database name; View table: SHOW TABLES; View table structure: DESCRIBE table name; View data: SELECT * FROM table name;

See all articles