blob: ee3a21047f94ffee0789512dc8cdeac9b3e109f9 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
|
---
title: Golang profiling simplified
url: golang-profiling-simplified.html
date: 2017-03-07T12:00:00+02:00
type: post
draft: false
---
Many posts have been written regarding profiling in Golang and I haven’t found
proper tutorial regarding this. Almost all of them are missing some part of
important information and it gets pretty frustrating when you have a deadline
and are not finding simple distilled solution.
Nevertheless, after searching and experimenting I have found a solution that
works for me and probably should also for you.
## Where are my pprof files?
By default pprof files are generated in /tmp/ folder. You can override folder
where this files are generated programmatically in your golang code as we will
see below in example.
## Why is my CPU profile empty?
I have found out that sometimes CPU profile is empty because program was not
executing long enough. Programs, that execute too quickly don’t produce pprof
file in my cases. Well, file is generated but only contains 4KB of information.
## Profiling
As you can see from examples we are executing dummy_benchmark functions to
ensure some sort of execution. Memory profiling can be done without such a
“complex” function. But CPU profiling needs it.
Both memory and CPU profiling examples are almost the same. Only parameters in
main function when calling profile.Start are different. When we set
profile.ProfilePath(“.”) we tell profiler to store pprof files in the same
folder as our program.
### Memory profiling
```go
package main
import (
"fmt"
"time"
"github.com/pkg/profile"
)
func dummy_benchmark() {
fmt.Println("first set ...")
for i := 0; i < 918231333; i++ {
i *= 2
i /= 2
}
<-time.After(time.Second*3)
fmt.Println("sencond set ...")
for i := 0; i < 9182312232; i++ {
i *= 2
i /= 2
}
}
func main() {
defer profile.Start(profile.MemProfile, profile.ProfilePath("."), profile.NoShutdownHook).Stop()
dummy_benchmark()
}
```
### CPU profiling
```go
package main
import (
"fmt"
"time"
"github.com/pkg/profile"
)
func dummy_benchmark() {
fmt.Println("first set ...")
for i := 0; i < 918231333; i++ {
i *= 2
i /= 2
}
<-time.After(time.Second*3)
fmt.Println("sencond set ...")
for i := 0; i < 9182312232; i++ {
i *= 2
i /= 2
}
}
func main() {
defer profile.Start(profile.CPUProfile, profile.ProfilePath("."), profile.NoShutdownHook).Stop()
dummy_benchmark()
}
```
### Generating profiling reports
```bash
# memory profiling
go build mem.go
./mem
go tool pprof -pdf ./mem mem.pprof > mem.pdf
# cpu profiling
go build cpu.go
./cpu
go tool pprof -pdf ./cpu cpu.pprof > cpu.pdf
```
This will generate PDF document with visualized profile.
- [Memory PDF profile example](/assets/go-profiling/golang-profiling-mem.pdf)
- [CPU PDF profile example](/assets/go-profiling/golang-profiling-cpu.pdf)
|
