How Does Go\'s Goroutine Scheduler Handle I/O Blocking Efficiently?
Goroutine Scheduler and I/O Handling
In Go, the scheduler automatically manages goroutines and can detect when they are blocked on I/O operations. This behavior enables efficient thread utilization by allowing the scheduler to switch to other goroutines while I/O is pending.
Detection of I/O Blockage
The scheduler seamlessly determines goroutine I/O blockages due to the controlled execution of syscalls in Go. Syscalls, which allow applications to interact with the operating system, are handled through code managed by the runtime. When a syscall is made, the runtime is notified and performs the operation on behalf of the goroutine.
Handling of Blocked Syscalls
Instead of blocking on a syscall directly, the runtime has the ability to execute it non-blocking. By doing so, the kernel is instructed to return immediately and provide a notification mechanism to indicate when the result is ready. This approach enables the goroutine to continue executing other tasks while awaiting the I/O completion.
Resuming I/O-Blocked Goroutines
The scheduler is notified once a non-blocking syscall completes. This notification enables the scheduler to identify the goroutine that was blocked on I/O and resume its execution. The goroutine can then process the result of the I/O operation and continue its activities.
Example: HTTP GET Request
Consider an HTTP GET request made within a goroutine. After the request is sent, the goroutine would normally block until a response is received. However, in Go, the runtime executes the syscall associated with the HTTP GET request non-blocking, allowing the goroutine to continue executing. When the server responds, the runtime is notified and can resume the goroutine to process the HTTP response.
The above is the detailed content of How Does Go\'s Goroutine Scheduler Handle I/O Blocking Efficiently?. 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

AI Hentai Generator
Generate AI Hentai for free.

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.

This article demonstrates creating mocks and stubs in Go for unit testing. It emphasizes using interfaces, provides examples of mock implementations, and discusses best practices like keeping mocks focused and using assertion libraries. The articl

This article explores Go's custom type constraints for generics. It details how interfaces define minimum type requirements for generic functions, improving type safety and code reusability. The article also discusses limitations and best practices

The article discusses Go's reflect package, used for runtime manipulation of code, beneficial for serialization, generic programming, and more. It warns of performance costs like slower execution and higher memory use, advising judicious use and best

This article explores using tracing tools to analyze Go application execution flow. It discusses manual and automatic instrumentation techniques, comparing tools like Jaeger, Zipkin, and OpenTelemetry, and highlighting effective data visualization

The article discusses using table-driven tests in Go, a method that uses a table of test cases to test functions with multiple inputs and outcomes. It highlights benefits like improved readability, reduced duplication, scalability, consistency, and a
