Why Do ab and wrk Show Such Different Performance Results for Go HTTP Servers?-Golang-php.cn

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Why Do ab and wrk Show Such Different Performance Results for Go HTTP Servers?

Barbara Streisand

Nov 04, 2024 pm 03:09 PM

Why Do ab and wrk Show Such Different Performance Results for Go HTTP Servers?

Disparate Results in Performance Testing with ab and wrk for Go HTTP Servers

When determining the capacity of a Go HTTP server, it is essential to conduct performance tests. However, vast discrepancies in results between benchmarking tools like ab and wrk can be puzzling.

Discrepancy Analysis

ab limitations: ab is a rudimentary tool that adheres to HTTP/1.0, lacking support for keep-alive connections.
Concurrent connections: In your ab test, 1000 concurrent connections were used compared to wrk's 1 connection. This difference significantly influences request rate.
Test duration: ab runs for 12 seconds while wrk operates for 5. This time disparity also affects the results.
Server workload: The test code simply responds with a static message, which does not reflect real-world server operations that involve database calls or content rendering.
Machine resources: The benchmarking tools compete with the server for resources, including open sockets and memory. This contention can distort results.

Considerations for Performance Assessment

Use a reliable tool: wrk is generally considered more accurate and comprehensive than ab.
Simulate realistic workloads: Develop benchmarks that mirror the actual server operations.
Test under controlled conditions: Ensure that both benchmarking tools are running under similar hardware and network conditions.
Interpret results with caution: Benchmarks can provide insights but are highly context-dependent. Consider the limitations of your test setup and the variability between tools.

Conclusion

Benchmarking can help gauge a server's performance, but it is crucial to use appropriate tools and consider possible discrepancies. By acknowledging the limitations of ab and understanding the factors that influence test results, developers can obtain more accurate estimates of their server's capacity.

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