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Performance: store path in stack to avoid copying context #438
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Codecov Report
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## master #438 +/- ##
==========================================
- Coverage 76.02% 75.94% -0.09%
==========================================
Files 13 13
Lines 4692 4701 +9
==========================================
+ Hits 3567 3570 +3
- Misses 866 870 +4
- Partials 259 261 +2 |
Benchmarkpackage main
import (
"bytes"
"fmt"
"testing"
"github.com/goccy/go-yaml"
goyaml2 "gopkg.in/yaml.v2"
goyaml3 "gopkg.in/yaml.v3"
)
func prepareSampleData(line int) []byte {
var data bytes.Buffer
for i := 0; i < line/5; i++ {
data.WriteString(`- propertyA: valueA
propertyB: 2
propertyC: test
propertyD: example
propertyE: example2
`)
}
return data.Bytes()
}
type sampleData struct {
PropertyA string `yaml:"propertyA"`
PropertyB string `yaml:"propertyB"`
PropertyC string `yaml:"propertyC"`
PropertyD string `yaml:"propertyD"`
PropertyE string `yaml:"propertyE"`
}
func BenchmarkGoccyYAML(b *testing.B) {
lines := []int{100, 1000, 10000}
for _, line := range lines {
sample := prepareSampleData(line)
b.Run(fmt.Sprintf("%d lines", line), func(b *testing.B) {
b.Run("github.com/goccy/go-yaml", func(b *testing.B) {
var datas []sampleData
for i := 0; i < b.N; i++ {
err := yaml.Unmarshal(sample, &datas)
if err != nil {
b.Fatal(err)
}
}
})
b.Run("gopkg.in/yaml.v2", func(b *testing.B) {
var datas []sampleData
for i := 0; i < b.N; i++ {
err := goyaml2.Unmarshal(sample, &datas)
if err != nil {
b.Fatal(err)
}
}
})
b.Run("gopkg.in/yaml.v3", func(b *testing.B) {
var datas []sampleData
for i := 0; i < b.N; i++ {
err := goyaml3.Unmarshal(sample, &datas)
if err != nil {
b.Fatal(err)
}
}
})
})
}
} To compare before and after the fix, I have to use Result:
From the results, we can see:
Let me know if you need anything else 🙏 |
This looks like a good change to me. Comparing with 1.11.3 using a complex ~6MB sample:
And it looks okay compared to the last good version, 1.9.2:
|
Looks good to us also. See benchmarks in the related issue. |
@goccy would you mind to have a look on the PR? 🙏 Thank you! |
Update our fork with the performance patch from goccy/go-yaml#438. ``` goos: linux goarch: amd64 pkg: github.com/cerbos/cerbos/internal/parser cpu: 13th Gen Intel(R) Core(TM) i7-1360P │ parser_before.txt │ parser_after.txt │ │ sec/op │ sec/op vs base │ Unmarshal/10-16 3399.0µ ± 3% 847.2µ ± 4% -75.08% (p=0.000 n=10) Unmarshal/50-16 50.093m ± 7% 3.847m ± 2% -92.32% (p=0.000 n=10) Unmarshal/100-16 191.559m ± 6% 7.504m ± 3% -96.08% (p=0.000 n=10) Unmarshal/500-16 4674.56m ± 3% 35.09m ± 4% -99.25% (p=0.000 n=10) geomean 111.1m 5.412m -95.13% │ parser_before.txt │ parser_after.txt │ │ B/s │ B/s vs base │ Unmarshal/10-16 1.030Mi ± 3% 4.134Mi ± 4% +301.39% (p=0.000 n=10) Unmarshal/50-16 341.8Ki ± 6% 4423.8Ki ± 2% +1194.29% (p=0.000 n=10) Unmarshal/100-16 175.8Ki ± 6% 4506.8Ki ± 3% +2463.89% (p=0.000 n=10) Unmarshal/500-16 39.06Ki ± 0% 4794.92Ki ± 4% +12175.00% (p=0.000 n=10) geomean 223.1Ki 4.380Mi +1910.85% │ parser_before.txt │ parser_after.txt │ │ B/op │ B/op vs base │ Unmarshal/10-16 4258.8Ki ± 0% 384.6Ki ± 0% -90.97% (p=0.000 n=10) Unmarshal/50-16 91.248Mi ± 0% 1.813Mi ± 0% -98.01% (p=0.000 n=10) Unmarshal/100-16 358.297Mi ± 0% 3.596Mi ± 0% -99.00% (p=0.000 n=10) Unmarshal/500-16 7944.51Mi ± 0% 18.98Mi ± 0% -99.76% (p=0.000 n=10) geomean 181.3Mi 2.611Mi -98.56% │ parser_before.txt │ parser_after.txt │ │ allocs/op │ allocs/op vs base │ Unmarshal/10-16 10.595k ± 0% 8.978k ± 0% -15.26% (p=0.000 n=10) Unmarshal/50-16 50.64k ± 0% 42.93k ± 0% -15.23% (p=0.000 n=10) Unmarshal/100-16 100.83k ± 0% 85.38k ± 0% -15.32% (p=0.000 n=10) Unmarshal/500-16 505.9k ± 0% 425.6k ± 0% -15.87% (p=0.000 n=10) geomean 72.33k 61.17k -15.42% ``` Signed-off-by: Charith Ellawala <[email protected]>
Update our fork with the performance patch from goccy/go-yaml#438. ``` goos: linux goarch: amd64 pkg: github.com/cerbos/cerbos/internal/parser cpu: 13th Gen Intel(R) Core(TM) i7-1360P │ parser_before.txt │ parser_after.txt │ │ sec/op │ sec/op vs base │ Unmarshal/10-16 3399.0µ ± 3% 847.2µ ± 4% -75.08% (p=0.000 n=10) Unmarshal/50-16 50.093m ± 7% 3.847m ± 2% -92.32% (p=0.000 n=10) Unmarshal/100-16 191.559m ± 6% 7.504m ± 3% -96.08% (p=0.000 n=10) Unmarshal/500-16 4674.56m ± 3% 35.09m ± 4% -99.25% (p=0.000 n=10) geomean 111.1m 5.412m -95.13% │ parser_before.txt │ parser_after.txt │ │ B/s │ B/s vs base │ Unmarshal/10-16 1.030Mi ± 3% 4.134Mi ± 4% +301.39% (p=0.000 n=10) Unmarshal/50-16 341.8Ki ± 6% 4423.8Ki ± 2% +1194.29% (p=0.000 n=10) Unmarshal/100-16 175.8Ki ± 6% 4506.8Ki ± 3% +2463.89% (p=0.000 n=10) Unmarshal/500-16 39.06Ki ± 0% 4794.92Ki ± 4% +12175.00% (p=0.000 n=10) geomean 223.1Ki 4.380Mi +1910.85% │ parser_before.txt │ parser_after.txt │ │ B/op │ B/op vs base │ Unmarshal/10-16 4258.8Ki ± 0% 384.6Ki ± 0% -90.97% (p=0.000 n=10) Unmarshal/50-16 91.248Mi ± 0% 1.813Mi ± 0% -98.01% (p=0.000 n=10) Unmarshal/100-16 358.297Mi ± 0% 3.596Mi ± 0% -99.00% (p=0.000 n=10) Unmarshal/500-16 7944.51Mi ± 0% 18.98Mi ± 0% -99.76% (p=0.000 n=10) geomean 181.3Mi 2.611Mi -98.56% │ parser_before.txt │ parser_after.txt │ │ allocs/op │ allocs/op vs base │ Unmarshal/10-16 10.595k ± 0% 8.978k ± 0% -15.26% (p=0.000 n=10) Unmarshal/50-16 50.64k ± 0% 42.93k ± 0% -15.23% (p=0.000 n=10) Unmarshal/100-16 100.83k ± 0% 85.38k ± 0% -15.32% (p=0.000 n=10) Unmarshal/500-16 505.9k ± 0% 425.6k ± 0% -15.87% (p=0.000 n=10) geomean 72.33k 61.17k -15.42% ``` Signed-off-by: Charith Ellawala <[email protected]> --------- Signed-off-by: Charith Ellawala <[email protected]>
@goccy can you please take a look at this PR? |
@yoelsusanto Thank you for your contribution. Also, Sorry for the late reply. |
Fixes #325
This PR is created to dramatically improve performance for go-yaml library especially when parsing larger YAML files.
This is the methodology that I used to arrive at the current solution:
go test
tool to create a CPU profile when doingparser.ParseBytes
.withChild
andwithIndex
are the two functions that dominated the CPU utilization.parser.copy
. This operation is performed repeatedly when parsing the YAML tokens.context.tokens
.I realized the implementation can be refactored further to adjust the way of using context, but I aim for minimum change in this PR. Please let me know if you have any suggestions 🙏 . Thank you!
Checklist: