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real_data_benchmark_test.go
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real_data_benchmark_test.go
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package roaring
import (
"archive/zip"
"bytes"
"fmt"
"io"
"os"
"path"
"strconv"
"strings"
"testing"
)
var benchRealData = false
var realDatasets = []string{
"census-income_srt", "census-income", "census1881_srt", "census1881",
"dimension_003", "dimension_008", "dimension_033", "uscensus2000", "weather_sept_85_srt", "weather_sept_85",
"wikileaks-noquotes_srt", "wikileaks-noquotes",
}
func init() {
if envStr, ok := os.LookupEnv("BENCH_REAL_DATA"); ok {
v, err := strconv.ParseBool(envStr)
if err != nil {
v = false
}
benchRealData = v
}
}
func retrieveRealDataBitmaps(datasetName string, optimize bool) ([]*Bitmap, error) {
gopath, ok := os.LookupEnv("GOPATH")
if !ok {
return nil, fmt.Errorf("GOPATH not set. It's required to locate real-roaring-datasets. Set GOPATH or disable BENCH_REAL_DATA")
}
basePath := path.Join(gopath, "src", "github.com", "RoaringBitmap", "real-roaring-datasets")
if _, err := os.Stat(basePath); os.IsNotExist(err) {
return nil, fmt.Errorf("real-roaring-datasets does not exist. Run `go get github.com/RoaringBitmap/real-roaring-datasets`")
}
datasetPath := path.Join(basePath, datasetName+".zip")
if _, err := os.Stat(datasetPath); os.IsNotExist(err) {
return nil, fmt.Errorf("dataset %s does not exist, tried path: %s", datasetName, datasetPath)
}
zipFile, err := zip.OpenReader(datasetPath)
if err != nil {
return nil, fmt.Errorf("error opening dataset %s zipfile, cause: %v", datasetPath, err)
}
defer zipFile.Close()
var largestFileSize uint64
for _, f := range zipFile.File {
if f.UncompressedSize64 > largestFileSize {
largestFileSize = f.UncompressedSize64
}
}
bitmaps := make([]*Bitmap, len(zipFile.File))
buf := make([]byte, largestFileSize)
var bufStep uint64 = 32768 // apparently the largest buffer zip can read
for i, f := range zipFile.File {
r, err := f.Open()
if err != nil {
return nil, fmt.Errorf("failed to read bitmap file %s from dataset %s, cause: %v", f.Name, datasetName, err)
}
var totalReadBytes uint64
for {
var endOffset uint64
if f.UncompressedSize64 < totalReadBytes+bufStep {
endOffset = f.UncompressedSize64
} else {
endOffset = totalReadBytes + bufStep
}
readBytes, err := r.Read(buf[totalReadBytes:endOffset])
totalReadBytes += uint64(readBytes)
if err == io.EOF {
r.Close()
break
} else if err != nil {
r.Close()
return nil, fmt.Errorf("could not read content of file %s from dataset %s, cause: %v", f.Name, datasetName, err)
}
}
elemsAsBytes := bytes.Split(buf[:totalReadBytes], []byte{44}) // 44 is a comma
b := NewBitmap()
for _, elemBytes := range elemsAsBytes {
elemStr := strings.TrimSpace(string(elemBytes))
e, err := strconv.ParseUint(elemStr, 10, 32)
if err != nil {
r.Close()
return nil, fmt.Errorf("could not parse %s as uint32. Reading %s from %s. Cause: %v", elemStr, f.Name, datasetName, err)
}
b.Add(uint32(e))
}
if optimize {
b.RunOptimize()
}
bitmaps[i] = b
}
return bitmaps, nil
}
func benchmarkRealDataAggregate(b *testing.B, aggregator func(b []*Bitmap) uint64) {
if !benchRealData {
b.SkipNow()
}
for _, dataset := range realDatasets {
b.Run(dataset, func(b *testing.B) {
bitmaps, err := retrieveRealDataBitmaps(dataset, true)
if err != nil {
b.Fatal(err)
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
aggregator(bitmaps)
}
})
}
}
func BenchmarkRealDataNext(b *testing.B) {
benchmarkRealDataAggregate(b, func(bitmaps []*Bitmap) uint64 {
tot := uint64(0)
for _, b := range bitmaps {
it := b.Iterator()
for it.HasNext() {
tot += uint64(it.Next())
}
}
return tot
})
}
func BenchmarkRealDataNextMany(b *testing.B) {
benchmarkRealDataAggregate(b, func(bitmaps []*Bitmap) uint64 {
tot := uint64(0)
buf := make([]uint32, 4096)
for _, b := range bitmaps {
it := b.ManyIterator()
for n := it.NextMany(buf); n != 0; n = it.NextMany(buf) {
for _, v := range buf[:n] {
tot += uint64(v)
}
}
}
return tot
})
}
func BenchmarkRealDataParOr(b *testing.B) {
benchmarkRealDataAggregate(b, func(bitmaps []*Bitmap) uint64 {
return ParOr(0, bitmaps...).GetCardinality()
//return ParHeapOr(0, bitmaps...).GetCardinality()
})
}
func BenchmarkRealDataParHeapOr(b *testing.B) {
benchmarkRealDataAggregate(b, func(bitmaps []*Bitmap) uint64 {
return ParHeapOr(0, bitmaps...).GetCardinality()
})
}
func BenchmarkRealDataFastOr(b *testing.B) {
benchmarkRealDataAggregate(b, func(bitmaps []*Bitmap) uint64 {
return FastOr(bitmaps...).GetCardinality()
})
}