You're optimizing a critical section of your Go program and want to measure the impact of your changes on performance. How would you use benchmarking to achieve this?
- Execute the critical section repeatedly within a benchmark function and utilize the benchmarking tooling provided by Go, such as the testing package, to measure execution time and allocations.
- Implement various optimizations in the critical section and observe the changes in performance manually.
- Use a third-party profiling tool to capture runtime statistics and analyze the performance impact of the critical section changes.
- Use print statements strategically within the critical section to print timestamps and calculate execution time.
Benchmarking in Go involves writing specialized functions with the Benchmark prefix, which are run by Go's testing framework. By executing the critical section multiple times within a benchmark function, Go's tooling provides detailed metrics on execution time, memory allocations, and other performance characteristics. This approach ensures accurate and reproducible performance measurements, aiding in evaluating the impact of optimizations.
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