influxdb/tsdb/shard_test.go

package tsdb

import (
	"io/ioutil"
	"os"
	"path"
	"reflect"
	"testing"
	"time"
)

func TestShardWriteAndIndex(t *testing.T) {
	tmpDir, _ := ioutil.TempDir("", "shard_test")
	defer os.RemoveAll(tmpDir)
	tmpShard := path.Join(tmpDir, "shard")

	index := NewDatabaseIndex()
	sh := NewShard(index, tmpShard)
	if err := sh.Open(); err != nil {
		t.Fatalf("error openeing shard: %s", err.Error())
	}

	pt := NewPoint(
		"cpu",
		map[string]string{"host": "server"},
		map[string]interface{}{"value": 1.0},
		time.Unix(1, 2),
	)

	err := sh.WritePoints([]Point{pt})
	if err != nil {
		t.Fatalf(err.Error())
	}

	pt.SetTime(time.Unix(2, 3))
	err = sh.WritePoints([]Point{pt})
	if err != nil {
		t.Fatalf(err.Error())
	}

	validateIndex := func() {
		if !reflect.DeepEqual(index.names, []string{"cpu"}) {
			t.Fatalf("measurement names in shard didn't match")
		}
		if len(index.series) != 1 {
			t.Fatalf("series wasn't in index")
		}
		seriesTags := index.series[string(pt.Key())].Tags
		if len(seriesTags) != len(pt.Tags()) || pt.Tags()["host"] != seriesTags["host"] {
			t.Fatalf("tags weren't properly saved to series index: %v, %v", pt.Tags(), index.series[string(pt.Key())].Tags)
		}
		if !reflect.DeepEqual(index.measurements["cpu"].TagKeys(), []string{"host"}) {
			t.Fatalf("tag key wasn't saved to measurement index")
		}
	}

	validateIndex()

	// ensure the index gets loaded after closing and opening the shard
	sh.Close()

	index = NewDatabaseIndex()
	sh = NewShard(index, tmpShard)
	if err := sh.Open(); err != nil {
		t.Fatalf("error openeing shard: %s", err.Error())
	}

	validateIndex()

	// and ensure that we can still write data
	pt.SetTime(time.Unix(2, 6))
	err = sh.WritePoints([]Point{pt})
	if err != nil {
		t.Fatalf(err.Error())
	}
}

func BenchmarkWritePoints_NewSeries_1K(b *testing.B)   { benchmarkWritePoints(b, 38, 3, 3, 1) }
func BenchmarkWritePoints_NewSeries_100K(b *testing.B) { benchmarkWritePoints(b, 32, 5, 5, 1) }
func BenchmarkWritePoints_NewSeries_250K(b *testing.B) { benchmarkWritePoints(b, 80, 5, 5, 1) }
func BenchmarkWritePoints_NewSeries_500K(b *testing.B) { benchmarkWritePoints(b, 160, 5, 5, 1) }
func BenchmarkWritePoints_NewSeries_1M(b *testing.B)   { benchmarkWritePoints(b, 320, 5, 5, 1) }

func BenchmarkWritePoints_ExistingSeries_1K(b *testing.B) {
	benchmarkWritePointsExistingSeries(b, 38, 3, 3, 1)
}
func BenchmarkWritePoints_ExistingSeries_100K(b *testing.B) {
	benchmarkWritePointsExistingSeries(b, 32, 5, 5, 1)
}
func BenchmarkWritePoints_ExistingSeries_250K(b *testing.B) {
	benchmarkWritePointsExistingSeries(b, 80, 5, 5, 1)
}
func BenchmarkWritePoints_ExistingSeries_500K(b *testing.B) {
	benchmarkWritePointsExistingSeries(b, 160, 5, 5, 1)
}
func BenchmarkWritePoints_ExistingSeries_1M(b *testing.B) {
	benchmarkWritePointsExistingSeries(b, 320, 5, 5, 1)
}

// benchmarkWritePoints benchmarks writing new series to a shard.
// mCnt - measurmeent count
// tkCnt - tag key count
// tvCnt - tag value count (values per tag)
// pntCnt - points per series.  # of series = mCnt * (tvCnt ^ tkCnt)
func benchmarkWritePoints(b *testing.B, mCnt, tkCnt, tvCnt, pntCnt int) {
	// Generate test series (measurements + unique tag sets).
	series := genTestSeries(mCnt, tkCnt, tvCnt)
	// Create index for the shard to use.
	index := NewDatabaseIndex()
	// Generate point data to write to the shard.
	points := []Point{}
	for _, s := range series {
		for val := 0.0; val < float64(pntCnt); val++ {
			p := NewPoint(s.Measurement, s.Series.Tags, map[string]interface{}{"value": val}, time.Now())
			points = append(points, p)
		}
	}

	// Stop & reset timers and mem-stats before the main benchmark loop.
	b.StopTimer()
	b.ResetTimer()

	// Run the benchmark loop.
	for n := 0; n < b.N; n++ {
		tmpDir, _ := ioutil.TempDir("", "shard_test")
		tmpShard := path.Join(tmpDir, "shard")
		shard := NewShard(index, tmpShard)
		shard.Open()

		b.StartTimer()
		// Call the function being benchmarked.
		chunkedWrite(shard, points)

		b.StopTimer()
		shard.Close()
		os.RemoveAll(tmpDir)
	}
}

// benchmarkWritePointsExistingSeries benchmarks writing to existing series in a shard.
// mCnt - measurmeent count
// tkCnt - tag key count
// tvCnt - tag value count (values per tag)
// pntCnt - points per series.  # of series = mCnt * (tvCnt ^ tkCnt)
func benchmarkWritePointsExistingSeries(b *testing.B, mCnt, tkCnt, tvCnt, pntCnt int) {
	// Generate test series (measurements + unique tag sets).
	series := genTestSeries(mCnt, tkCnt, tvCnt)
	// Create index for the shard to use.
	index := NewDatabaseIndex()
	// Generate point data to write to the shard.
	points := []Point{}
	for _, s := range series {
		for val := 0.0; val < float64(pntCnt); val++ {
			p := NewPoint(s.Measurement, s.Series.Tags, map[string]interface{}{"value": val}, time.Now())
			points = append(points, p)
		}
	}

	tmpDir, _ := ioutil.TempDir("", "")
	defer os.RemoveAll(tmpDir)
	tmpShard := path.Join(tmpDir, "shard")
	shard := NewShard(index, tmpShard)
	shard.Open()
	defer shard.Close()
	chunkedWrite(shard, points)

	// Reset timers and mem-stats before the main benchmark loop.
	b.ResetTimer()

	// Run the benchmark loop.
	for n := 0; n < b.N; n++ {
		b.StopTimer()
		for _, p := range points {
			p.SetTime(p.Time().Add(time.Second))
		}

		b.StartTimer()
		// Call the function being benchmarked.
		chunkedWrite(shard, points)
	}
}

func chunkedWrite(shard *Shard, points []Point) {
	nPts := len(points)
	chunkSz := 10000
	start := 0
	end := chunkSz

	for {
		if end > nPts {
			end = nPts
		}
		if end-start == 0 {
			break
		}

		shard.WritePoints(points[start:end])
		start = end
		end += chunkSz
	}
}