How to Achieve Minimal Overhead for Disabled Trace Logging in Go?
How to Implement Trace Logging in Go with Minimal Overhead for Disabled Log Statements
In critical paths, it's valuable to retain low-level debug/trace logging statements. These can be enabled by runtime configuration, allowing them to be turned off in production (to avoid performance penalties) while being enabled in a production environment (such as for debugging or testing).
The Need for Minimal Cost
This approach requires that the cost of encountering a disabled log statement on a critical path must be extremely low, ideally just a boolean check.
Go's Limitations
Unlike C/C 's LOG macro, Go's logging does not provide a way to avoid evaluating arguments until checking a flag. This poses a challenge for avoiding performance penalties when logs are disabled.
Approaches in Go
- EnabledLogger: Implies the log.Logger interface methods but checks enabled status before delegating to the actual logger. This approach is adequate but still evaluates arguments.
- Wrapper Types: Uses wrapper types (such as Stringify) to defer function calls and evaluation until the logger is enabled.
- Explicit Enabled Check: Manually checks if the logger is enabled before calling the expensive function to format.
- Dynamic Logger Swapping: Replaces the entire logger at runtime with an implementation that checks for interfaces and delays formatting.
- Build Constraints: Swaps out the logger entirely at build time using build constraints.
- Code Generation: Introduces a separate debug build through code generation, using tools like gofmt, text/template, or AST parsing. This approach is not suitable for runtime configuration but can provide a dedicated debug build.
Conclusion
The optimal approach depends on the specific needs of the application. For runtime configurable tracing, the EnabledLogger pattern or Dynamic Logger Swapping are suitable. For minimal overhead and terse syntax, assigning the logger to a bool variable can be effective. Code generation provides a solution for separate debug builds.
The above is the detailed content of How to Achieve Minimal Overhead for Disabled Trace Logging in Go?. 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











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.

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

Golangisidealforbuildingscalablesystemsduetoitsefficiencyandconcurrency,whilePythonexcelsinquickscriptinganddataanalysisduetoitssimplicityandvastecosystem.Golang'sdesignencouragesclean,readablecodeanditsgoroutinesenableefficientconcurrentoperations,t
