Go HTTP Server Performance: Differences Between ab and wrk Benchmarks
Problem Statement:
When benchmarking a Go HTTP server using both ab and wrk, significant discrepancies in performance measurements were observed, leaving the user puzzled as to the reason behind the vast differences.
Analysis:
Factors Affecting Benchmark Accuracy:
- Artificiality of Benchmarks: Real-world applications introduce additional factors like database calls and session parsing, leading to lower performance compared to simple "Hello World" responses.
- Local Machine Limitations: Resource constraints, loopback adapters, and TCP stack tuning can impact benchmark results.
Specific Differences Between ab and wrk:
- HTTP Version: ab uses HTTP/1.0 and does not support keepalives, while wrk supports HTTP/1.1 and keepalives.
- Latency: The latency reported by ab was significantly higher than that reported by wrk.
- Duration: The ab test ran for 12 seconds, while the wrk test ran for 5 seconds.
- Load Generation: wrk is generally considered a more reliable benchmarking tool and has the ability to generate higher load than ab.
Recommendations:
- Use wrk for more accurate and representative benchmarks.
- Keep in mind the limitations and variances inherent in benchmarking tools.
- Focus on optimizing the server code and understanding resource utilization rather than chasing specific performance figures.
- Benchmarks should be conducted under realistic scenarios with actual workloads.
Scaling with More Cores:
The scaling capabilities of a Go HTTP server with additional cores depend on the specific workload. Single-threaded operations, such as responding with a simple "Hello World" message, show linear scaling. However, for more complex workloads, scaling may become nonlinear due to contention for shared resources or other factors.
The above is the detailed content of Why are Ab and Wrk Benchmarks so Different for Go HTTP Servers?. For more information, please follow other related articles on the PHP Chinese website!

Golangisidealforperformance-criticalapplicationsandconcurrentprogramming,whilePythonexcelsindatascience,rapidprototyping,andversatility.1)Forhigh-performanceneeds,chooseGolangduetoitsefficiencyandconcurrencyfeatures.2)Fordata-drivenprojects,Pythonisp

Golang achieves efficient concurrency through goroutine and channel: 1.goroutine is a lightweight thread, started with the go keyword; 2.channel is used for secure communication between goroutines to avoid race conditions; 3. The usage example shows basic and advanced usage; 4. Common errors include deadlocks and data competition, which can be detected by gorun-race; 5. Performance optimization suggests reducing the use of channel, reasonably setting the number of goroutines, and using sync.Pool to manage memory.

Golang is more suitable for system programming and high concurrency applications, while Python is more suitable for data science and rapid development. 1) Golang is developed by Google, statically typing, emphasizing simplicity and efficiency, and is suitable for high concurrency scenarios. 2) Python is created by Guidovan Rossum, dynamically typed, concise syntax, wide application, suitable for beginners and data processing.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Go language has unique advantages in concurrent programming, performance, learning curve, etc.: 1. Concurrent programming is realized through goroutine and channel, which is lightweight and efficient. 2. The compilation speed is fast and the operation performance is close to that of C language. 3. The grammar is concise, the learning curve is smooth, and the ecosystem is rich.

The main differences between Golang and Python are concurrency models, type systems, performance and execution speed. 1. Golang uses the CSP model, which is suitable for high concurrent tasks; Python relies on multi-threading and GIL, which is suitable for I/O-intensive tasks. 2. Golang is a static type, and Python is a dynamic type. 3. Golang compiled language execution speed is fast, and Python interpreted language development is fast.

Golang is usually slower than C, but Golang has more advantages in concurrent programming and development efficiency: 1) Golang's garbage collection and concurrency model makes it perform well in high concurrency scenarios; 2) C obtains higher performance through manual memory management and hardware optimization, but has higher development complexity.

Golang is widely used in cloud computing and DevOps, and its advantages lie in simplicity, efficiency and concurrent programming capabilities. 1) In cloud computing, Golang efficiently handles concurrent requests through goroutine and channel mechanisms. 2) In DevOps, Golang's fast compilation and cross-platform features make it the first choice for automation tools.


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

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Dreamweaver Mac version
Visual web development tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.