/usr/share/gocode/src/github.com/influxdata/influxdb/tsdb/engine/tsm1/engine_test.go is in golang-github-influxdb-influxdb-dev 1.1.1+dfsg1-4.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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import (
"archive/tar"
"bytes"
"fmt"
"io/ioutil"
"math/rand"
"os"
"path/filepath"
"reflect"
"runtime"
"strings"
"testing"
"time"
"github.com/influxdata/influxdb/influxql"
"github.com/influxdata/influxdb/models"
"github.com/influxdata/influxdb/pkg/deep"
"github.com/influxdata/influxdb/tsdb"
"github.com/influxdata/influxdb/tsdb/engine/tsm1"
)
// Ensure engine can load the metadata index after reopening.
func TestEngine_LoadMetadataIndex(t *testing.T) {
e := MustOpenEngine()
defer e.Close()
if err := e.WritePointsString(`cpu,host=A value=1.1 1000000000`); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
// Ensure we can close and load index from the WAL
if err := e.Reopen(); err != nil {
t.Fatal(err)
}
// Load metadata index.
index := tsdb.NewDatabaseIndex("db")
if err := e.LoadMetadataIndex(1, index); err != nil {
t.Fatal(err)
}
// Verify index is correct.
if m := index.Measurement("cpu"); m == nil {
t.Fatal("measurement not found")
} else if s := m.SeriesByID(1); s.Key != "cpu,host=A" || !reflect.DeepEqual(s.Tags, models.NewTags(map[string]string{"host": "A"})) {
t.Fatalf("unexpected series: %q / %#v", s.Key, s.Tags)
}
// write the snapshot, ensure we can close and load index from TSM
if err := e.WriteSnapshot(); err != nil {
t.Fatalf("error writing snapshot: %s", err.Error())
}
// Ensure we can close and load index from the WAL
if err := e.Reopen(); err != nil {
t.Fatal(err)
}
// Load metadata index.
index = tsdb.NewDatabaseIndex("db")
if err := e.LoadMetadataIndex(1, index); err != nil {
t.Fatal(err)
}
// Verify index is correct.
if m := index.Measurement("cpu"); m == nil {
t.Fatal("measurement not found")
} else if s := m.SeriesByID(1); s.Key != "cpu,host=A" || !reflect.DeepEqual(s.Tags, models.NewTags(map[string]string{"host": "A"})) {
t.Fatalf("unexpected series: %q / %#v", s.Key, s.Tags)
}
// Write a new point and ensure we can close and load index from TSM and WAL
if err := e.WritePoints([]models.Point{
MustParsePointString("cpu,host=B value=1.2 2000000000"),
}); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
// Ensure we can close and load index from the TSM & WAL
if err := e.Reopen(); err != nil {
t.Fatal(err)
}
// Load metadata index.
index = tsdb.NewDatabaseIndex("db")
if err := e.LoadMetadataIndex(1, index); err != nil {
t.Fatal(err)
}
// Verify index is correct.
if m := index.Measurement("cpu"); m == nil {
t.Fatal("measurement not found")
} else if s := m.SeriesByID(1); s.Key != "cpu,host=A" || !reflect.DeepEqual(s.Tags, models.NewTags(map[string]string{"host": "A"})) {
t.Fatalf("unexpected series: %q / %#v", s.Key, s.Tags)
} else if s := m.SeriesByID(2); s.Key != "cpu,host=B" || !reflect.DeepEqual(s.Tags, models.NewTags(map[string]string{"host": "B"})) {
t.Fatalf("unexpected series: %q / %#v", s.Key, s.Tags)
}
}
// Ensure that deletes only sent to the WAL will clear out the data from the cache on restart
func TestEngine_DeleteWALLoadMetadata(t *testing.T) {
e := MustOpenEngine()
defer e.Close()
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=B value=1.2 2000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
// Remove series.
if err := e.DeleteSeries([]string{"cpu,host=A"}); err != nil {
t.Fatalf("failed to delete series: %s", err.Error())
}
// Ensure we can close and load index from the WAL
if err := e.Reopen(); err != nil {
t.Fatal(err)
}
if exp, got := 0, len(e.Cache.Values(tsm1.SeriesFieldKey("cpu,host=A", "value"))); exp != got {
t.Fatalf("unexpected number of values: got: %d. exp: %d", got, exp)
}
if exp, got := 1, len(e.Cache.Values(tsm1.SeriesFieldKey("cpu,host=B", "value"))); exp != got {
t.Fatalf("unexpected number of values: got: %d. exp: %d", got, exp)
}
}
// Ensure that the engine will backup any TSM files created since the passed in time
func TestEngine_Backup(t *testing.T) {
t.Skip()
// Generate temporary file.
f, _ := ioutil.TempFile("", "tsm")
f.Close()
os.Remove(f.Name())
walPath := filepath.Join(f.Name(), "wal")
os.MkdirAll(walPath, 0777)
defer os.RemoveAll(f.Name())
// Create a few points.
p1 := MustParsePointString("cpu,host=A value=1.1 1000000000")
p2 := MustParsePointString("cpu,host=B value=1.2 2000000000")
p3 := MustParsePointString("cpu,host=C value=1.3 3000000000")
// Write those points to the engine.
e := tsm1.NewEngine(1, f.Name(), walPath, tsdb.NewEngineOptions()).(*tsm1.Engine)
// mock the planner so compactions don't run during the test
e.CompactionPlan = &mockPlanner{}
if err := e.Open(); err != nil {
t.Fatalf("failed to open tsm1 engine: %s", err.Error())
}
if err := e.WritePoints([]models.Point{p1}); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
if err := e.WriteSnapshot(); err != nil {
t.Fatalf("failed to snapshot: %s", err.Error())
}
if err := e.WritePoints([]models.Point{p2}); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
b := bytes.NewBuffer(nil)
if err := e.Backup(b, "", time.Unix(0, 0)); err != nil {
t.Fatalf("failed to backup: %s", err.Error())
}
tr := tar.NewReader(b)
if len(e.FileStore.Files()) != 2 {
t.Fatalf("file count wrong: exp: %d, got: %d", 2, len(e.FileStore.Files()))
}
for _, f := range e.FileStore.Files() {
th, err := tr.Next()
if err != nil {
t.Fatalf("failed reading header: %s", err.Error())
}
if !strings.Contains(f.Path(), th.Name) || th.Name == "" {
t.Fatalf("file name doesn't match:\n\tgot: %s\n\texp: %s", th.Name, f.Path())
}
}
lastBackup := time.Now()
// we have to sleep for a second because last modified times only have second level precision.
// so this test won't work properly unless the file is at least a second past the last one
time.Sleep(time.Second)
if err := e.WritePoints([]models.Point{p3}); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
b = bytes.NewBuffer(nil)
if err := e.Backup(b, "", lastBackup); err != nil {
t.Fatalf("failed to backup: %s", err.Error())
}
tr = tar.NewReader(b)
th, err := tr.Next()
if err != nil {
t.Fatalf("error getting next tar header: %s", err.Error())
}
mostRecentFile := e.FileStore.Files()[e.FileStore.Count()-1].Path()
if !strings.Contains(mostRecentFile, th.Name) || th.Name == "" {
t.Fatalf("file name doesn't match:\n\tgot: %s\n\texp: %s", th.Name, mostRecentFile)
}
}
// Ensure engine can create an ascending iterator for cached values.
func TestEngine_CreateIterator_Cache_Ascending(t *testing.T) {
t.Parallel()
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=A value=1.2 2000000000`,
`cpu,host=A value=1.3 3000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
itr, err := e.CreateIterator(influxql.IteratorOptions{
Expr: influxql.MustParseExpr(`value`),
Dimensions: []string{"host"},
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Ascending: true,
})
if err != nil {
t.Fatal(err)
}
fitr := itr.(influxql.FloatIterator)
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(0): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 1000000000, Value: 1.1}) {
t.Fatalf("unexpected point(0): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(1): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 2000000000, Value: 1.2}) {
t.Fatalf("unexpected point(1): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(2): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 3000000000, Value: 1.3}) {
t.Fatalf("unexpected point(2): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("expected eof, got error: %v", err)
} else if p != nil {
t.Fatalf("expected eof: %v", p)
}
}
// Ensure engine can create an descending iterator for cached values.
func TestEngine_CreateIterator_Cache_Descending(t *testing.T) {
t.Parallel()
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=A value=1.2 2000000000`,
`cpu,host=A value=1.3 3000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
itr, err := e.CreateIterator(influxql.IteratorOptions{
Expr: influxql.MustParseExpr(`value`),
Dimensions: []string{"host"},
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Ascending: false,
})
if err != nil {
t.Fatal(err)
}
fitr := itr.(influxql.FloatIterator)
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(0): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 3000000000, Value: 1.3}) {
t.Fatalf("unexpected point(0): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unepxected error(1): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 2000000000, Value: 1.2}) {
t.Fatalf("unexpected point(1): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(2): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 1000000000, Value: 1.1}) {
t.Fatalf("unexpected point(2): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("expected eof, got error: %v", err)
} else if p != nil {
t.Fatalf("expected eof: %v", p)
}
}
// Ensure engine can create an ascending iterator for tsm values.
func TestEngine_CreateIterator_TSM_Ascending(t *testing.T) {
t.Parallel()
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=A value=1.2 2000000000`,
`cpu,host=A value=1.3 3000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
e.MustWriteSnapshot()
itr, err := e.CreateIterator(influxql.IteratorOptions{
Expr: influxql.MustParseExpr(`value`),
Dimensions: []string{"host"},
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Ascending: true,
})
if err != nil {
t.Fatal(err)
}
fitr := itr.(influxql.FloatIterator)
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(0): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 1000000000, Value: 1.1}) {
t.Fatalf("unexpected point(0): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(1): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 2000000000, Value: 1.2}) {
t.Fatalf("unexpected point(1): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(2): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 3000000000, Value: 1.3}) {
t.Fatalf("unexpected point(2): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("expected eof, got error: %v", err)
} else if p != nil {
t.Fatalf("expected eof: %v", p)
}
}
// Ensure engine can create an descending iterator for cached values.
func TestEngine_CreateIterator_TSM_Descending(t *testing.T) {
t.Parallel()
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=A value=1.2 2000000000`,
`cpu,host=A value=1.3 3000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
e.MustWriteSnapshot()
itr, err := e.CreateIterator(influxql.IteratorOptions{
Expr: influxql.MustParseExpr(`value`),
Dimensions: []string{"host"},
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Ascending: false,
})
if err != nil {
t.Fatal(err)
}
fitr := itr.(influxql.FloatIterator)
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(0): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 3000000000, Value: 1.3}) {
t.Fatalf("unexpected point(0): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(1): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 2000000000, Value: 1.2}) {
t.Fatalf("unexpected point(1): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(2): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 1000000000, Value: 1.1}) {
t.Fatalf("unexpected point(2): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("expected eof, got error: %v", err)
} else if p != nil {
t.Fatalf("expected eof: %v", p)
}
}
// Ensure engine can create an iterator with auxilary fields.
func TestEngine_CreateIterator_Aux(t *testing.T) {
t.Parallel()
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
e.MeasurementFields("cpu").CreateFieldIfNotExists("F", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=A F=100 1000000000`,
`cpu,host=A value=1.2 2000000000`,
`cpu,host=A value=1.3 3000000000`,
`cpu,host=A F=200 3000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
itr, err := e.CreateIterator(influxql.IteratorOptions{
Expr: influxql.MustParseExpr(`value`),
Aux: []influxql.VarRef{{Val: "F"}},
Dimensions: []string{"host"},
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Ascending: true,
})
if err != nil {
t.Fatal(err)
}
fitr := itr.(influxql.FloatIterator)
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(0): %v", err)
} else if !deep.Equal(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 1000000000, Value: 1.1, Aux: []interface{}{float64(100)}}) {
t.Fatalf("unexpected point(0): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(1): %v", err)
} else if !deep.Equal(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 2000000000, Value: 1.2, Aux: []interface{}{(*float64)(nil)}}) {
t.Fatalf("unexpected point(1): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(2): %v", err)
} else if !deep.Equal(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 3000000000, Value: 1.3, Aux: []interface{}{float64(200)}}) {
t.Fatalf("unexpected point(2): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("expected eof, got error: %v", err)
} else if p != nil {
t.Fatalf("expected eof: %v", p)
}
}
// Ensure engine can create an iterator with a condition.
func TestEngine_CreateIterator_Condition(t *testing.T) {
t.Parallel()
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.Index().Measurement("cpu").SetFieldName("X")
e.Index().Measurement("cpu").SetFieldName("Y")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
e.MeasurementFields("cpu").CreateFieldIfNotExists("X", influxql.Float, false)
e.MeasurementFields("cpu").CreateFieldIfNotExists("Y", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
if err := e.WritePointsString(
`cpu,host=A value=1.1 1000000000`,
`cpu,host=A X=10 1000000000`,
`cpu,host=A Y=100 1000000000`,
`cpu,host=A value=1.2 2000000000`,
`cpu,host=A value=1.3 3000000000`,
`cpu,host=A X=20 3000000000`,
`cpu,host=A Y=200 3000000000`,
); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
itr, err := e.CreateIterator(influxql.IteratorOptions{
Expr: influxql.MustParseExpr(`value`),
Dimensions: []string{"host"},
Condition: influxql.MustParseExpr(`X = 10 OR Y > 150`),
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Ascending: true,
})
if err != nil {
t.Fatal(err)
}
fitr := itr.(influxql.FloatIterator)
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected error(0): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 1000000000, Value: 1.1}) {
t.Fatalf("unexpected point(0): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("unexpected point(1): %v", err)
} else if !reflect.DeepEqual(p, &influxql.FloatPoint{Name: "cpu", Tags: ParseTags("host=A"), Time: 3000000000, Value: 1.3}) {
t.Fatalf("unexpected point(1): %v", p)
}
if p, err := fitr.Next(); err != nil {
t.Fatalf("expected eof, got error: %v", err)
} else if p != nil {
t.Fatalf("expected eof: %v", p)
}
}
// Ensures that deleting series from TSM files with multiple fields removes all the
/// series
func TestEngine_DeleteSeries(t *testing.T) {
// Generate temporary file.
f, _ := ioutil.TempFile("", "tsm")
f.Close()
os.Remove(f.Name())
walPath := filepath.Join(f.Name(), "wal")
os.MkdirAll(walPath, 0777)
defer os.RemoveAll(f.Name())
// Create a few points.
p1 := MustParsePointString("cpu,host=A value=1.1 1000000000")
p2 := MustParsePointString("cpu,host=B value=1.2 2000000000")
p3 := MustParsePointString("cpu,host=A sum=1.3 3000000000")
// Write those points to the engine.
e := tsm1.NewEngine(1, f.Name(), walPath, tsdb.NewEngineOptions()).(*tsm1.Engine)
// mock the planner so compactions don't run during the test
e.CompactionPlan = &mockPlanner{}
if err := e.Open(); err != nil {
t.Fatalf("failed to open tsm1 engine: %s", err.Error())
}
if err := e.WritePoints([]models.Point{p1, p2, p3}); err != nil {
t.Fatalf("failed to write points: %s", err.Error())
}
if err := e.WriteSnapshot(); err != nil {
t.Fatalf("failed to snapshot: %s", err.Error())
}
keys := e.FileStore.Keys()
if exp, got := 3, len(keys); exp != got {
t.Fatalf("series count mismatch: exp %v, got %v", exp, got)
}
if err := e.DeleteSeries([]string{"cpu,host=A"}); err != nil {
t.Fatalf("failed to delete series: %v", err)
}
keys = e.FileStore.Keys()
if exp, got := 1, len(keys); exp != got {
t.Fatalf("series count mismatch: exp %v, got %v", exp, got)
}
exp := "cpu,host=B#!~#value"
if _, ok := keys[exp]; !ok {
t.Fatalf("wrong series deleted: exp %v, got %v", exp, keys)
}
}
func BenchmarkEngine_CreateIterator_Count_1K(b *testing.B) {
benchmarkEngineCreateIteratorCount(b, 1000)
}
func BenchmarkEngine_CreateIterator_Count_100K(b *testing.B) {
benchmarkEngineCreateIteratorCount(b, 100000)
}
func BenchmarkEngine_CreateIterator_Count_1M(b *testing.B) {
benchmarkEngineCreateIteratorCount(b, 1000000)
}
func benchmarkEngineCreateIteratorCount(b *testing.B, pointN int) {
benchmarkIterator(b, influxql.IteratorOptions{
Expr: influxql.MustParseExpr("count(value)"),
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
Ascending: true,
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
}, pointN)
}
func BenchmarkEngine_CreateIterator_First_1K(b *testing.B) {
benchmarkEngineCreateIteratorFirst(b, 1000)
}
func BenchmarkEngine_CreateIterator_First_100K(b *testing.B) {
benchmarkEngineCreateIteratorFirst(b, 100000)
}
func BenchmarkEngine_CreateIterator_First_1M(b *testing.B) {
benchmarkEngineCreateIteratorFirst(b, 1000000)
}
func benchmarkEngineCreateIteratorFirst(b *testing.B, pointN int) {
benchmarkIterator(b, influxql.IteratorOptions{
Expr: influxql.MustParseExpr("first(value)"),
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
Dimensions: []string{"host"},
Ascending: true,
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
}, pointN)
}
func BenchmarkEngine_CreateIterator_Last_1K(b *testing.B) {
benchmarkEngineCreateIteratorLast(b, 1000)
}
func BenchmarkEngine_CreateIterator_Last_100K(b *testing.B) {
benchmarkEngineCreateIteratorLast(b, 100000)
}
func BenchmarkEngine_CreateIterator_Last_1M(b *testing.B) {
benchmarkEngineCreateIteratorLast(b, 1000000)
}
func benchmarkEngineCreateIteratorLast(b *testing.B, pointN int) {
benchmarkIterator(b, influxql.IteratorOptions{
Expr: influxql.MustParseExpr("last(value)"),
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
Dimensions: []string{"host"},
Ascending: true,
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
}, pointN)
}
func BenchmarkEngine_CreateIterator_Limit_1K(b *testing.B) {
benchmarkEngineCreateIteratorLimit(b, 1000)
}
func BenchmarkEngine_CreateIterator_Limit_100K(b *testing.B) {
benchmarkEngineCreateIteratorLimit(b, 100000)
}
func BenchmarkEngine_CreateIterator_Limit_1M(b *testing.B) {
benchmarkEngineCreateIteratorLimit(b, 1000000)
}
func BenchmarkEngine_WritePoints_10(b *testing.B) {
benchmarkEngine_WritePoints(b, 10)
}
func BenchmarkEngine_WritePoints_100(b *testing.B) {
benchmarkEngine_WritePoints(b, 100)
}
func BenchmarkEngine_WritePoints_1000(b *testing.B) {
benchmarkEngine_WritePoints(b, 1000)
}
func BenchmarkEngine_WritePoints_5000(b *testing.B) {
benchmarkEngine_WritePoints(b, 5000)
}
func benchmarkEngine_WritePoints(b *testing.B, batchSize int) {
e := MustOpenEngine()
defer e.Close()
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
pp := make([]models.Point, 0, batchSize)
for i := 0; i < batchSize; i++ {
p := MustParsePointString(fmt.Sprintf("cpu,host=%d value=1.2", i))
pp = append(pp, p)
}
b.ResetTimer()
b.ReportAllocs()
for i := 0; i < b.N; i++ {
err := e.WritePoints(pp)
if err != nil {
b.Fatal(err)
}
}
}
func benchmarkEngineCreateIteratorLimit(b *testing.B, pointN int) {
benchmarkIterator(b, influxql.IteratorOptions{
Expr: influxql.MustParseExpr("value"),
Sources: []influxql.Source{&influxql.Measurement{Name: "cpu"}},
Dimensions: []string{"host"},
Ascending: true,
StartTime: influxql.MinTime,
EndTime: influxql.MaxTime,
Limit: 10,
}, pointN)
}
func benchmarkIterator(b *testing.B, opt influxql.IteratorOptions, pointN int) {
e := MustInitBenchmarkEngine(pointN)
b.ResetTimer()
b.ReportAllocs()
for i := 0; i < b.N; i++ {
itr, err := e.CreateIterator(opt)
if err != nil {
b.Fatal(err)
}
influxql.DrainIterator(itr)
}
}
var benchmark struct {
Engine *Engine
PointN int
}
var hostNames = []string{"A", "B", "C", "D", "E", "F", "G", "H", "I", "J"}
// MustInitBenchmarkEngine creates a new engine and fills it with points.
// Reuses previous engine if the same parameters were used.
func MustInitBenchmarkEngine(pointN int) *Engine {
// Reuse engine, if available.
if benchmark.Engine != nil {
if benchmark.PointN == pointN {
return benchmark.Engine
}
// Otherwise close and remove it.
benchmark.Engine.Close()
benchmark.Engine = nil
}
const batchSize = 1000
if pointN%batchSize != 0 {
panic(fmt.Sprintf("point count (%d) must be a multiple of batch size (%d)", pointN, batchSize))
}
e := MustOpenEngine()
// Initialize metadata.
e.Index().CreateMeasurementIndexIfNotExists("cpu")
e.MeasurementFields("cpu").CreateFieldIfNotExists("value", influxql.Float, false)
si := e.Index().CreateSeriesIndexIfNotExists("cpu", tsdb.NewSeries("cpu,host=A", models.NewTags(map[string]string{"host": "A"})))
si.AssignShard(1)
// Generate time ascending points with jitterred time & value.
rand := rand.New(rand.NewSource(0))
for i := 0; i < pointN; i += batchSize {
var buf bytes.Buffer
for j := 0; j < batchSize; j++ {
fmt.Fprintf(&buf, "cpu,host=%s value=%d %d",
hostNames[j%len(hostNames)],
100+rand.Intn(50)-25,
(time.Duration(i+j)*time.Second)+(time.Duration(rand.Intn(500)-250)*time.Millisecond),
)
if j != pointN-1 {
fmt.Fprint(&buf, "\n")
}
}
if err := e.WritePointsString(buf.String()); err != nil {
panic(err)
}
}
if err := e.WriteSnapshot(); err != nil {
panic(err)
}
// Force garbage collection.
runtime.GC()
// Save engine reference for reuse.
benchmark.Engine = e
benchmark.PointN = pointN
return e
}
// Engine is a test wrapper for tsm1.Engine.
type Engine struct {
*tsm1.Engine
root string
}
// NewEngine returns a new instance of Engine at a temporary location.
func NewEngine() *Engine {
root, err := ioutil.TempDir("", "tsm1-")
if err != nil {
panic(err)
}
return &Engine{
Engine: tsm1.NewEngine(1,
filepath.Join(root, "data"),
filepath.Join(root, "wal"),
tsdb.NewEngineOptions()).(*tsm1.Engine),
root: root,
}
}
// MustOpenEngine returns a new, open instance of Engine.
func MustOpenEngine() *Engine {
e := NewEngine()
if err := e.Open(); err != nil {
panic(err)
}
if err := e.LoadMetadataIndex(1, tsdb.NewDatabaseIndex("db")); err != nil {
panic(err)
}
return e
}
// Close closes the engine and removes all underlying data.
func (e *Engine) Close() error {
defer os.RemoveAll(e.root)
return e.Engine.Close()
}
// Reopen closes and reopens the engine.
func (e *Engine) Reopen() error {
if err := e.Engine.Close(); err != nil {
return err
}
e.Engine = tsm1.NewEngine(1,
filepath.Join(e.root, "data"),
filepath.Join(e.root, "wal"),
tsdb.NewEngineOptions()).(*tsm1.Engine)
if err := e.Engine.Open(); err != nil {
return err
}
return nil
}
// MustWriteSnapshot forces a snapshot of the engine. Panic on error.
func (e *Engine) MustWriteSnapshot() {
if err := e.WriteSnapshot(); err != nil {
panic(err)
}
}
// WritePointsString parses a string buffer and writes the points.
func (e *Engine) WritePointsString(buf ...string) error {
return e.WritePoints(MustParsePointsString(strings.Join(buf, "\n")))
}
// MustParsePointsString parses points from a string. Panic on error.
func MustParsePointsString(buf string) []models.Point {
a, err := models.ParsePointsString(buf)
if err != nil {
panic(err)
}
return a
}
// MustParsePointString parses the first point from a string. Panic on error.
func MustParsePointString(buf string) models.Point { return MustParsePointsString(buf)[0] }
type mockPlanner struct{}
func (m *mockPlanner) Plan(lastWrite time.Time) []tsm1.CompactionGroup { return nil }
func (m *mockPlanner) PlanLevel(level int) []tsm1.CompactionGroup { return nil }
func (m *mockPlanner) PlanOptimize() []tsm1.CompactionGroup { return nil }
// ParseTags returns an instance of Tags for a comma-delimited list of key/values.
func ParseTags(s string) influxql.Tags {
m := make(map[string]string)
for _, kv := range strings.Split(s, ",") {
a := strings.Split(kv, "=")
m[a[0]] = a[1]
}
return influxql.NewTags(m)
}
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