Let's talk about the non-reentrant problem of golang locks
In concurrent programming in Go language, lock is a mechanism to ensure thread safety of shared resources. It blocks other threads from accessing shared resources until the thread releases the lock. However, in the Go language, locks are not reentrant, which means that within a locked code area, if you apply for the lock again, it will cause a deadlock.
To better understand this problem, let us look at an example:
var mutex sync.Mutex func foo() { mutex.Lock() bar() mutex.Unlock() } func bar() { mutex.Lock() // some operations mutex.Unlock() }
In the above code, the foo()
function acquires the lock and executes bar()
function, finally releases the lock. The bar()
function acquires the lock internally, performs some operations, and finally releases the lock.
In this case, if the bar()
function is called again during the execution of the foo()
function, a deadlock will result. Because after acquiring the lock, the bar()
function is blocked waiting for the foo()
function to release the lock, while the foo()
function is blocked waiting for The bar()
function releases the lock. This situation is a deadlock caused by the non-reentrancy of the lock.
In order to solve this problem, we can use other mechanisms to replace locks. For example, use Channel. In the Go language, the channel can be used as a more flexible and safe concurrent programming mechanism, which can ensure the orderliness and thread safety of data. Unlike locks, channels will not be deadlocked because programmers can freely control the channel.
The following is a sample code that uses channels instead of locks:
var ch = make(chan int, 1) func foo() { ch <- 1 bar() <-ch } func bar() { ch <- 1 // some operations <-ch }
In the above code, we use channels instead of locks to ensure data synchronization and thread safety. The operations in the foo()
function and the bar()
function are the same as in the previous code example. However, in this code example, we send and receive two values in the ch
channel to represent operations on the shared resource. This ensures thread synchronization and security.
To sum up, locks in the Go language are not reentrant, which means that within a locked code area, you cannot apply for a lock again, otherwise it will cause a deadlock. In order to solve this problem, we can use other mechanisms to replace locks and ensure data synchronization and thread safety. Among them, channel is a more flexible and safe concurrent programming mechanism, which can effectively avoid deadlock and other problems.
The above is the detailed content of Let's talk about the non-reentrant problem of golang locks. 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



OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

The article explains how to use the pprof tool for analyzing Go performance, including enabling profiling, collecting data, and identifying common bottlenecks like CPU and memory issues.Character count: 159

The article discusses writing unit tests in Go, covering best practices, mocking techniques, and tools for efficient test management.

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

The article discusses the go fmt command in Go programming, which formats code to adhere to official style guidelines. It highlights the importance of go fmt for maintaining code consistency, readability, and reducing style debates. Best practices fo

This article introduces a variety of methods and tools to monitor PostgreSQL databases under the Debian system, helping you to fully grasp database performance monitoring. 1. Use PostgreSQL to build-in monitoring view PostgreSQL itself provides multiple views for monitoring database activities: pg_stat_activity: displays database activities in real time, including connections, queries, transactions and other information. pg_stat_replication: Monitors replication status, especially suitable for stream replication clusters. pg_stat_database: Provides database statistics, such as database size, transaction commit/rollback times and other key indicators. 2. Use log analysis tool pgBadg

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...
