What is Benchmarking Process?
Benchmarking process helps to measure the performance of code by running it multiple times and counting an average of vital stats. Benchmark is a tool provided by the testing package so that there is no additional dependency to get started. These benchmark functions should be prefixed by “Benchmark” followed by the function name - func BenchmarkLoop(b *testing.B){ write code here} Benchmark runs and displays three things -- Time is taken by each benchmark function available in a benchmarking file.
- Time Taken by all the benchmark of application.
- Reveals PASS or FAIL status for each benchmark of our application.
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What is Sub-BenchMark?
Sub-Benchmark is a process in which a further benchmark function defined inside a benchmark. Make a call to run method to run a benchmark written, inside another benchmark. Example-
func BenchmarkAppendFloat(b *testing.B) {
benchmarks := []struct{
name string
float float64
fmt byte
prec int
bitSize int
}{
{"Decimal", 33909, 'g', -1, 64},
{"Float", 339.7784, 'g', -1, 64},
{"Exp", -5.09e75, 'g', -1, 64},
{"NegExp", -5.11e-95, 'g', -1, 64},
{"Big", 123456789123456789123456789, 'g', -1, 64},
...
}
dst := make([]byte, 30)
for _, bm := range benchmarks {
b.Run(bm.name, func(b *testing.B) {
for i := 0; i < b.N; i++ {
AppendFloat(dst[:0], bm.float, bm.fmt, bm.prec, bm.bitSize)
}
})
}
}
b.Run(bm.name, func(b *testing.B)
go test -bench=.
Howe to measure the Benchmark?
Basically, by default benchmark executed by nanoseconds and can also change this benchmarking execution time mentioned below. Benchmark implemented by following parameters and can define a benchmark time in a different format while executing code.- Nanoseconds
- Microseconds
- Milliseconds
- Seconds
- Minutes
- Hours
- Days
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What are the benefits of Enabling Benchmarking Process?
- It helps to check that how much amount of memory defined method talking (method defined in form of BenchMarking).
- It helps to check that how much amount of CPU iteration our system is taking.
- While using BenchMarking, it can also be defined in how much amount of memory defined method should run.
- Usage of BenchMarking process will be cleared more by reading complete documentation.
How Benchmarking Process Works?
Write Code in the form of functions according to requirements. Write BenchMarks for written methods of code in the file with extension
Filename_test.go.
Go test -run =. -bench = .cpuprofile = cpu.out -benchmem - memprofile = mem.out.
- After execution of the above command result for CPU Profiling will store in a cpu.out and result for Memory Profiling will get stored in mem.out.
- Execution of the following command helps to access the content of cpu.out and mem.out file.
- Execute go tool pprof cpu.out for CPU Profiling.
- Execute go tool pprof mem.out for Memory Profiling.
How to adopt Benchmarking?
Steps to be followed to write benchmarks or sub benchmarks -- The code runs correctly without defining the primary file in the project.
- Write a benchmarking function in a separate file for functions defined in a project.
- But there is a condition that this benchmark file saved with “ _test” in the end.
- “Filename_test.go”
func BenchmarkLoop(b *testing.B){ write code here}
go test -bench=.
- Write code according to requirements.
- Then go to the specific location to run a code, where code placed.
- Then after this run the following command.
go test -run=. -bench=. -cpuprofile=cpu.out -benchman -memprofile=mem.out -trace trace.out
- The first row containing the name of the method.
- The second row contains many iterations.
- The third parameter contains the value that how much each benchmark uses CPU resource.
- The last column represents how much memory allocated to each method in the form of bytes.
- The last column represents how much memory allocated to each method in the form of bytes.
- Add the following line of code to perform memory profiling results along with CPU profiling.
- b.ReportAllocs()
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What are the best practises of Benchmarking?
The below mentioned are the best practises of Benchmarking:
- Cloning of the project
- Adhere to standard and meaningful metrics
- Improve Operations
- Have a deadline
- Strategic Alignment and Assessment
- Team Management
- Great Decision-Making
- Determine Process and gather data
- Limit Server connections
- Analysis of gaps and Improvement
- Determine Future Trends
- Reveal Results
- Implementation of plans and Result Monitoring
- Continuous Evaluation of Benchmarks
Conclusion
Benchmark defined inside another benchmark can be in the runnable state by using a run method code. We recommend you to explore more related articles.
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