refactor(tsdb): changed tsdb time series model to use null.Float instead of pointers

pkg/services/alerting/conditions/evaluator.go

@@ -5,6 +5,7 @@ import (
 
 	"github.com/grafana/grafana/pkg/components/simplejson"
 	"github.com/grafana/grafana/pkg/services/alerting"
+	"gopkg.in/guregu/null.v3"
 )
 
 var (
@@ -13,13 +14,13 @@ var (
 )
 
 type AlertEvaluator interface {
-	Eval(reducedValue *float64) bool
+	Eval(reducedValue null.Float) bool
 }
 
 type NoDataEvaluator struct{}
 
-func (e *NoDataEvaluator) Eval(reducedValue *float64) bool {
-	return reducedValue == nil
+func (e *NoDataEvaluator) Eval(reducedValue null.Float) bool {
+	return reducedValue.Valid == false
 }
 
 type ThresholdEvaluator struct {
@@ -43,16 +44,16 @@ func newThresholdEvaludator(typ string, model *simplejson.Json) (*ThresholdEvalu
 	return defaultEval, nil
 }
 
-func (e *ThresholdEvaluator) Eval(reducedValue *float64) bool {
-	if reducedValue == nil {
+func (e *ThresholdEvaluator) Eval(reducedValue null.Float) bool {
+	if reducedValue.Valid == false {
 		return false
 	}
 
 	switch e.Type {
 	case "gt":
-		return *reducedValue > e.Threshold
+		return reducedValue.Float64 > e.Threshold
 	case "lt":
-		return *reducedValue < e.Threshold
+		return reducedValue.Float64 < e.Threshold
 	}
 
 	return false
@@ -86,16 +87,18 @@ func newRangedEvaluator(typ string, model *simplejson.Json) (*RangedEvaluator, e
 	return rangedEval, nil
 }
 
-func (e *RangedEvaluator) Eval(reducedValue *float64) bool {
-	if reducedValue == nil {
+func (e *RangedEvaluator) Eval(reducedValue null.Float) bool {
+	if reducedValue.Valid == false {
 		return false
 	}
 
+	floatValue := reducedValue.Float64
+
 	switch e.Type {
 	case "within_range":
-		return (e.Lower < *reducedValue && e.Upper > *reducedValue) || (e.Upper < *reducedValue && e.Lower > *reducedValue)
+		return (e.Lower < floatValue && e.Upper > floatValue) || (e.Upper < floatValue && e.Lower > floatValue)
 	case "outside_range":
-		return (e.Upper < *reducedValue && e.Lower < *reducedValue) || (e.Upper > *reducedValue && e.Lower > *reducedValue)
+		return (e.Upper < floatValue && e.Lower < floatValue) || (e.Upper > floatValue && e.Lower > floatValue)
 	}
 
 	return false

pkg/services/alerting/conditions/evaluator_test.go

@@ -3,6 +3,8 @@ package conditions
 import (
 	"testing"
 
+	"gopkg.in/guregu/null.v3"
+
 	"github.com/grafana/grafana/pkg/components/simplejson"
 	. "github.com/smartystreets/goconvey/convey"
 )
@@ -14,7 +16,7 @@ func evalutorScenario(json string, reducedValue float64, datapoints ...float64)
 	evaluator, err := NewAlertEvaluator(jsonModel)
 	So(err, ShouldBeNil)
 
-	return evaluator.Eval(&reducedValue)
+	return evaluator.Eval(null.FloatFrom(reducedValue))
 }
 
 func TestEvalutors(t *testing.T) {
@@ -51,6 +53,6 @@ func TestEvalutors(t *testing.T) {
 		evaluator, err := NewAlertEvaluator(jsonModel)
 		So(err, ShouldBeNil)
 
-		So(evaluator.Eval(nil), ShouldBeTrue)
+		So(evaluator.Eval(null.FloatFromPtr(nil)), ShouldBeTrue)
 	})
 }

pkg/services/alerting/conditions/query.go

@@ -46,21 +46,21 @@ func (c *QueryCondition) Eval(context *alerting.EvalContext) {
 		reducedValue := c.Reducer.Reduce(series)
 		evalMatch := c.Evaluator.Eval(reducedValue)
 
-		if reducedValue == nil {
+		if reducedValue.Valid == false {
 			emptySerieCount++
 			continue
 		}
 
 		if context.IsTestRun {
 			context.Logs = append(context.Logs, &alerting.ResultLogEntry{
-				Message: fmt.Sprintf("Condition[%d]: Eval: %v, Metric: %s, Value: %1.3f", c.Index, evalMatch, series.Name, *reducedValue),
+				Message: fmt.Sprintf("Condition[%d]: Eval: %v, Metric: %s, Value: %1.3f", c.Index, evalMatch, series.Name, reducedValue.Float64),
 			})
 		}
 
 		if evalMatch {
 			context.EvalMatches = append(context.EvalMatches, &alerting.EvalMatch{
 				Metric: series.Name,
-				Value:  *reducedValue,
+				Value:  reducedValue.Float64,
 			})
 		}
 	}

pkg/services/alerting/conditions/query_test.go

@@ -3,6 +3,8 @@ package conditions
 import (
 	"testing"
 
+	null "gopkg.in/guregu/null.v3"
+
 	"github.com/grafana/grafana/pkg/bus"
 	"github.com/grafana/grafana/pkg/components/simplejson"
 	m "github.com/grafana/grafana/pkg/models"
@@ -41,9 +43,8 @@ func TestQueryCondition(t *testing.T) {
 			})
 
 			Convey("should fire when avg is above 100", func() {
-				one := float64(120)
-				two := float64(0)
-				ctx.series = tsdb.TimeSeriesSlice{tsdb.NewTimeSeries("test1", [][2]*float64{{&one, &two}})}
+				points := tsdb.NewTimeSeriesPointsFromArgs(120, 0)
+				ctx.series = tsdb.TimeSeriesSlice{tsdb.NewTimeSeries("test1", points)}
 				ctx.exec()
 
 				So(ctx.result.Error, ShouldBeNil)
@@ -51,9 +52,8 @@ func TestQueryCondition(t *testing.T) {
 			})
 
 			Convey("Should not fire when avg is below 100", func() {
-				one := float64(90)
-				two := float64(0)
-				ctx.series = tsdb.TimeSeriesSlice{tsdb.NewTimeSeries("test1", [][2]*float64{{&one, &two}})}
+				points := tsdb.NewTimeSeriesPointsFromArgs(90, 0)
+				ctx.series = tsdb.TimeSeriesSlice{tsdb.NewTimeSeries("test1", points)}
 				ctx.exec()
 
 				So(ctx.result.Error, ShouldBeNil)
@@ -61,11 +61,9 @@ func TestQueryCondition(t *testing.T) {
 			})
 
 			Convey("Should fire if only first serie matches", func() {
-				one := float64(120)
-				two := float64(0)
 				ctx.series = tsdb.TimeSeriesSlice{
-					tsdb.NewTimeSeries("test1", [][2]*float64{{&one, &two}}),
-					tsdb.NewTimeSeries("test2", [][2]*float64{{&two, &two}}),
+					tsdb.NewTimeSeries("test1", tsdb.NewTimeSeriesPointsFromArgs(120, 0)),
+					tsdb.NewTimeSeries("test2", tsdb.NewTimeSeriesPointsFromArgs(0, 0)),
 				}
 				ctx.exec()
 
@@ -76,8 +74,8 @@ func TestQueryCondition(t *testing.T) {
 			Convey("Empty series", func() {
 				Convey("Should set NoDataFound both series are empty", func() {
 					ctx.series = tsdb.TimeSeriesSlice{
-						tsdb.NewTimeSeries("test1", [][2]*float64{}),
-						tsdb.NewTimeSeries("test2", [][2]*float64{}),
+						tsdb.NewTimeSeries("test1", tsdb.NewTimeSeriesPointsFromArgs()),
+						tsdb.NewTimeSeries("test2", tsdb.NewTimeSeriesPointsFromArgs()),
 					}
 					ctx.exec()
 
@@ -86,10 +84,9 @@ func TestQueryCondition(t *testing.T) {
 				})
 
 				Convey("Should set NoDataFound both series contains null", func() {
-					one := float64(120)
 					ctx.series = tsdb.TimeSeriesSlice{
-						tsdb.NewTimeSeries("test1", [][2]*float64{{nil, &one}}),
-						tsdb.NewTimeSeries("test2", [][2]*float64{{nil, &one}}),
+						tsdb.NewTimeSeries("test1", tsdb.TimeSeriesPoints{tsdb.TimePoint{null.FloatFromPtr(nil), null.FloatFrom(0)}}),
+						tsdb.NewTimeSeries("test2", tsdb.TimeSeriesPoints{tsdb.TimePoint{null.FloatFromPtr(nil), null.FloatFrom(0)}}),
 					}
 					ctx.exec()
 
@@ -98,11 +95,9 @@ func TestQueryCondition(t *testing.T) {
 				})
 
 				Convey("Should not set NoDataFound if one serie is empty", func() {
-					one := float64(120)
-					two := float64(0)
 					ctx.series = tsdb.TimeSeriesSlice{
-						tsdb.NewTimeSeries("test1", [][2]*float64{}),
-						tsdb.NewTimeSeries("test2", [][2]*float64{{&one, &two}}),
+						tsdb.NewTimeSeries("test1", tsdb.NewTimeSeriesPointsFromArgs()),
+						tsdb.NewTimeSeries("test2", tsdb.NewTimeSeriesPointsFromArgs(120, 0)),
 					}
 					ctx.exec()
 

pkg/services/alerting/conditions/reducer.go

@@ -4,19 +4,20 @@ import (
 	"math"
 
 	"github.com/grafana/grafana/pkg/tsdb"
+	"gopkg.in/guregu/null.v3"
 )
 
 type QueryReducer interface {
-	Reduce(timeSeries *tsdb.TimeSeries) *float64
+	Reduce(timeSeries *tsdb.TimeSeries) null.Float
 }
 
 type SimpleReducer struct {
 	Type string
 }
 
-func (s *SimpleReducer) Reduce(series *tsdb.TimeSeries) *float64 {
+func (s *SimpleReducer) Reduce(series *tsdb.TimeSeries) null.Float {
 	if len(series.Points) == 0 {
-		return nil
+		return null.FloatFromPtr(nil)
 	}
 
 	value := float64(0)
@@ -25,36 +26,36 @@ func (s *SimpleReducer) Reduce(series *tsdb.TimeSeries) *float64 {
 	switch s.Type {
 	case "avg":
 		for _, point := range series.Points {
-			if point[0] != nil {
-				value += *point[0]
+			if point[0].Valid {
+				value += point[0].Float64
 				allNull = false
 			}
 		}
 		value = value / float64(len(series.Points))
 	case "sum":
 		for _, point := range series.Points {
-			if point[0] != nil {
-				value += *point[0]
+			if point[0].Valid {
+				value += point[0].Float64
 				allNull = false
 			}
 		}
 	case "min":
 		value = math.MaxFloat64
 		for _, point := range series.Points {
-			if point[0] != nil {
+			if point[0].Valid {
 				allNull = false
-				if value > *point[0] {
-					value = *point[0]
+				if value > point[0].Float64 {
+					value = point[0].Float64
 				}
 			}
 		}
 	case "max":
 		value = -math.MaxFloat64
 		for _, point := range series.Points {
-			if point[0] != nil {
+			if point[0].Valid {
 				allNull = false
-				if value < *point[0] {
-					value = *point[0]
+				if value < point[0].Float64 {
+					value = point[0].Float64
 				}
 			}
 		}
@@ -64,10 +65,10 @@ func (s *SimpleReducer) Reduce(series *tsdb.TimeSeries) *float64 {
 	}
 
 	if allNull {
-		return nil
+		return null.FloatFromPtr(nil)
 	}
 
-	return &value
+	return null.FloatFrom(value)
 }
 
 func NewSimpleReducer(typ string) *SimpleReducer {

pkg/services/alerting/conditions/reducer_test.go

@@ -10,44 +10,41 @@ import (
 func TestSimpleReducer(t *testing.T) {
 	Convey("Test simple reducer by calculating", t, func() {
 		Convey("avg", func() {
-			result := *testReducer("avg", 1, 2, 3)
+			result := testReducer("avg", 1, 2, 3)
 			So(result, ShouldEqual, float64(2))
 		})
 
 		Convey("sum", func() {
-			result := *testReducer("sum", 1, 2, 3)
+			result := testReducer("sum", 1, 2, 3)
 			So(result, ShouldEqual, float64(6))
 		})
 
 		Convey("min", func() {
-			result := *testReducer("min", 3, 2, 1)
+			result := testReducer("min", 3, 2, 1)
 			So(result, ShouldEqual, float64(1))
 		})
 
 		Convey("max", func() {
-			result := *testReducer("max", 1, 2, 3)
+			result := testReducer("max", 1, 2, 3)
 			So(result, ShouldEqual, float64(3))
 		})
 
 		Convey("count", func() {
-			result := *testReducer("count", 1, 2, 3000)
+			result := testReducer("count", 1, 2, 3000)
 			So(result, ShouldEqual, float64(3))
 		})
 	})
 }
 
-func testReducer(typ string, datapoints ...float64) *float64 {
+func testReducer(typ string, datapoints ...float64) float64 {
 	reducer := NewSimpleReducer(typ)
-	var timeserie [][2]*float64
-	dummieTimestamp := float64(521452145)
+	series := &tsdb.TimeSeries{
+		Name: "test time serie",
+	}
 
 	for idx := range datapoints {
-		timeserie = append(timeserie, [2]*float64{&datapoints[idx], &dummieTimestamp})
+		series.Points = append(series.Points, tsdb.NewTimePoint(datapoints[idx], 1234134))
 	}
 
-	tsdb := &tsdb.TimeSeries{
-		Name:   "test time serie",
-		Points: timeserie,
-	}
-	return reducer.Reduce(tsdb)
+	return reducer.Reduce(series).Float64
 }

pkg/tsdb/graphite/graphite.go

@@ -80,6 +80,7 @@ func (e *GraphiteExecutor) Execute(queries tsdb.QuerySlice, context *tsdb.QueryC
 
 	result.QueryResults = make(map[string]*tsdb.QueryResult)
 	queryRes := &tsdb.QueryResult{}
+
 	for _, series := range data {
 		queryRes.Series = append(queryRes.Series, &tsdb.TimeSeries{
 			Name:   series.Target,

pkg/tsdb/graphite/types.go

 package graphite
 
+import "github.com/grafana/grafana/pkg/tsdb"
+
 type TargetResponseDTO struct {
-	Target     string        `json:"target"`
-	DataPoints [][2]*float64 `json:"datapoints"`
+	Target     string                `json:"target"`
+	DataPoints tsdb.TimeSeriesPoints `json:"datapoints"`
 }

pkg/tsdb/models.go

 package tsdb
 
-import "github.com/grafana/grafana/pkg/components/simplejson"
+import (
+	"github.com/grafana/grafana/pkg/components/simplejson"
+	"gopkg.in/guregu/null.v3"
+)
 
 type Query struct {
 	RefId         string
@@ -55,13 +58,29 @@ type QueryResult struct {
 }
 
 type TimeSeries struct {
-	Name   string        `json:"name"`
-	Points [][2]*float64 `json:"points"`
+	Name   string           `json:"name"`
+	Points TimeSeriesPoints `json:"points"`
 }
 
+type TimePoint [2]null.Float
+type TimeSeriesPoints []TimePoint
 type TimeSeriesSlice []*TimeSeries
 
-func NewTimeSeries(name string, points [][2]*float64) *TimeSeries {
+func NewTimePoint(value float64, timestamp float64) TimePoint {
+	return TimePoint{null.FloatFrom(value), null.FloatFrom(timestamp)}
+}
+
+func NewTimeSeriesPointsFromArgs(values ...float64) TimeSeriesPoints {
+	points := make(TimeSeriesPoints, 0)
+
+	for i := 0; i < len(values); i += 2 {
+		points = append(points, NewTimePoint(values[i], values[i+1]))
+	}
+
+	return points
+}
+
+func NewTimeSeries(name string, points TimeSeriesPoints) *TimeSeries {
 	return &TimeSeries{
 		Name:   name,
 		Points: points,

pkg/tsdb/prometheus/prometheus.go

@@ -140,17 +140,15 @@ func parseResponse(value pmodel.Value, query *PrometheusQuery) (map[string]*tsdb
 	}
 
 	for _, v := range data {
-		var points [][2]*float64
+		series := tsdb.TimeSeries{
+			Name: formatLegend(v.Metric, query),
+		}
+
 		for _, k := range v.Values {
-			timestamp := float64(k.Timestamp)
-			val := float64(k.Value)
-			points = append(points, [2]*float64{&val, &timestamp})
+			series.Points = append(series.Points, tsdb.NewTimePoint(float64(k.Value), float64(k.Timestamp.Unix()*1000)))
 		}
 
-		queryRes.Series = append(queryRes.Series, &tsdb.TimeSeries{
-			Name:   formatLegend(v.Metric, query),
-			Points: points,
-		})
+		queryRes.Series = append(queryRes.Series, &series)
 	}
 
 	queryResults["A"] = queryRes

pkg/tsdb/testdata/scenarios.go

@@ -4,7 +4,6 @@ import (
 	"math/rand"
 	"time"
 
-	"github.com/grafana/grafana/pkg/log"
 	"github.com/grafana/grafana/pkg/tsdb"
 )
 
@@ -21,7 +20,7 @@ var ScenarioRegistry map[string]*Scenario
 
 func init() {
 	ScenarioRegistry = make(map[string]*Scenario)
-	logger := log.New("tsdb.testdata")
+	//logger := log.New("tsdb.testdata")
 
 	registerScenario(&Scenario{
 		Id:   "random_walk",
@@ -33,13 +32,11 @@ func init() {
 
 			series := newSeriesForQuery(query)
 
-			points := make([][2]*float64, 0)
+			points := make(tsdb.TimeSeriesPoints, 0)
 			walker := rand.Float64() * 100
 
 			for i := int64(0); i < 10000 && timeWalkerMs < to; i++ {
-				timestamp := float64(timeWalkerMs)
-				val := float64(walker)
-				points = append(points, [2]*float64{&val, &timestamp})
+				points = append(points, tsdb.NewTimePoint(walker, float64(timeWalkerMs)))
 
 				walker += rand.Float64() - 0.5
 				timeWalkerMs += query.IntervalMs
@@ -72,12 +69,9 @@ func init() {
 			series := newSeriesForQuery(query)
 			outsideTime := context.TimeRange.MustGetFrom().Add(-1*time.Hour).Unix() * 1000
 
-			timestamp := float64(outsideTime)
-			logger.Info("time", "from", timestamp)
-			val := float64(10)
-
-			series.Points = append(series.Points, [2]*float64{&val, &timestamp})
+			series.Points = append(series.Points, tsdb.NewTimePoint(10, float64(outsideTime)))
 			queryRes.Series = append(queryRes.Series, series)
+
 			return queryRes
 		},
 	})