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

This commit is contained in:
Torkel Ödegaard
2016-09-28 09:15:48 +02:00
parent 63caedb094
commit 8d5857661e
11 changed files with 102 additions and 90 deletions
+1
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@@ -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,
+4 -2
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@@ -1,6 +1,8 @@
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"`
}
+23 -4
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@@ -1,6 +1,9 @@
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,
+7 -9
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@@ -140,17 +140,15 @@ func parseResponse(value pmodel.Value, query *PrometheusQuery) (map[string]*tsdb
}
for _, v := range data {
var points [][2]*float64
for _, k := range v.Values {
timestamp := float64(k.Timestamp)
val := float64(k.Value)
points = append(points, [2]*float64{&val, &timestamp})
series := tsdb.TimeSeries{
Name: formatLegend(v.Metric, query),
}
queryRes.Series = append(queryRes.Series, &tsdb.TimeSeries{
Name: formatLegend(v.Metric, query),
Points: points,
})
for _, k := range v.Values {
series.Points = append(series.Points, tsdb.NewTimePoint(float64(k.Value), float64(k.Timestamp.Unix()*1000)))
}
queryRes.Series = append(queryRes.Series, &series)
}
queryResults["A"] = queryRes
+5 -11
View File
@@ -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
},
})