Logs gzip processor
The Logs gzip processor gzips the input log record body, updating the log record in-place.
For metrics and traces, this will just be a pass-through as it does not implement related interfaces.
Configuration
No configuration needed.
Benchmarking
We performed benchmark measuring the performance of serial and concurrent operations (more practical) of this processor, with and without the sync.Pool. Here are the results:
Concurrent Run: Without Sync Pool
goos: darwin
goarch: arm64
pkg: github.com/nginx/agent/v3/internal/collector/logsgzipprocessor
cpu: Apple M2 Pro
BenchmarkGzipProcessor_Concurrent-12 24 45279866 ns/op 817791582 B/op 24727 allocs/op
PASS
ok github.com/nginx/agent/v3/internal/collector/logsgzipprocessor 1.939s
Concurrent Run: With Sync Pool
goos: darwin
goarch: arm64
pkg: github.com/nginx/agent/v3/internal/collector/logsgzipprocessor
cpu: Apple M2 Pro
BenchmarkGzipProcessor_Concurrent-12 147 9383213 ns/op 10948640 B/op 7820 allocs/op
PASS
ok github.com/nginx/agent/v3/internal/collector/logsgzipprocessor 2.026s
————
Serial Run: Without Sync Pool
goos: darwin
goarch: arm64
pkg: github.com/nginx/agent/v3/internal/collector/logsgzipprocessor
cpu: Apple M2 Pro
BenchmarkGzipProcessor/SmallRecords-12 100 12048268 ns/op 81898890 B/op 2537 allocs/op
BenchmarkGzipProcessor/MediumRecords-12 100 13143269 ns/op 82027307 B/op 2541 allocs/op
BenchmarkGzipProcessor/LargeRecords-12 91 15912399 ns/op 83198992 B/op 2580 allocs/op
BenchmarkGzipProcessor/ManySmallRecords-12 2 807707542 ns/op 8143237656 B/op 243348 allocs/op
Serial Run: With Sync Pool
goos: darwin
goarch: arm64
pkg: github.com/nginx/agent/v3/internal/collector/logsgzipprocessor
cpu: Apple M2 Pro
BenchmarkGzipProcessor/SmallRecords-12 205 7304839 ns/op 1027942 B/op 783 allocs/op
BenchmarkGzipProcessor/MediumRecords-12 182 7336266 ns/op 1078050 B/op 784 allocs/op
BenchmarkGzipProcessor/LargeRecords-12 132 9646940 ns/op 2057059 B/op 815 allocs/op
BenchmarkGzipProcessor/ManySmallRecords-12 5 239726258 ns/op 6883977 B/op 73679 allocs/op
PASS
To run this benchmark yourself with syncpool implementation, you can run the tests in processor_benchmark_test.go in with the sync.Pool mode.
To compare benchmark without syncpool, you can use this code block in processor.go and comment the existing gzipCompress function, and run processor_benchmark_test.go :
func (p *logsGzipProcessor) gzipCompress(data []byte) ([]byte, error) {
var buf bytes.Buffer
w := gzip.NewWriter(&buf)
_, err := w.Write(data)
if err != nil {
return nil, err
}
if err = w.Close(); err != nil {
return nil, err
}
return buf.Bytes(), nil
}