Refresh SampleValue to 64-bit floating point.
We always knew that this needed to be fixed.
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@ -50,8 +50,8 @@ message SampleKey {
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message SampleValueSeries {
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message Value {
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optional int64 timestamp = 1;
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optional float value = 2;
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optional int64 timestamp = 1;
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optional double value = 2;
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}
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repeated Value value = 1;
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}
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@ -15,6 +15,7 @@ package model
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import (
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"bytes"
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"code.google.com/p/goprotobuf/proto"
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"fmt"
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"sort"
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"time"
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@ -70,10 +71,12 @@ func (l LabelSet) String() string {
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type Metric map[LabelName]LabelValue
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// A SampleValue is a representation of a value for a given sample at a given
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// time. It is presently float32 due to that being the representation that
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// Protocol Buffers provide of floats in Go. This is a smell and should be
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// remedied down the road.
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type SampleValue float32
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// time.
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type SampleValue float64
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func (s SampleValue) ToDTO() *float64 {
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return proto.Float64(float64(s))
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}
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func (v SampleValue) MarshalJSON() ([]byte, error) {
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return []byte(fmt.Sprintf("\"%f\"", v)), nil
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@ -59,14 +59,14 @@ func testProcessor001Process(t test.Tester) {
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
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Value: 0.04598141,
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Value: 0.0459814091918713,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
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Value: 78.485634,
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Value: 78.48563317257356,
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},
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},
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{
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@ -80,14 +80,14 @@ func testProcessor001Process(t test.Tester) {
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
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Value: 0.04598141,
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Value: 0.0459814091918713,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
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Value: 78.485634,
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Value: 78.48563317257356,
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},
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},
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{
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@ -101,63 +101,63 @@ func testProcessor001Process(t test.Tester) {
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
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Value: 0.61204565,
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Value: 0.6120456642749681,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
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Value: 97.317986,
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Value: 97.31798360385088,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
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Value: 84.63044,
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Value: 84.63044031436561,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
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Value: 1.3559151,
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Value: 1.355915069887731,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
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Value: 109.89202,
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Value: 109.89202084295582,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
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Value: 160.21101,
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Value: 160.21100853053224,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
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Value: 1.7727332,
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Value: 1.772733213161236,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
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Value: 109.99626,
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Value: 109.99626121011262,
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},
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},
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{
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Sample: model.Sample{
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Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
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Value: 172.49829,
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Value: 172.49828748957728,
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},
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},
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},
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@ -235,7 +235,7 @@ var expressionTests = []struct {
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}, {
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// Rates should transform per-interval deltas to per-second rates.
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expr: "rate(http_requests{group='canary',instance='1',job='app-server'}[10m])",
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output: []string{"http_requests{group='canary',instance='1',job='app-server'} => 0.26666668 @[%v]"},
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output: []string{"http_requests{group='canary',instance='1',job='app-server'} => 0.26666666666666666 @[%v]"},
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fullRanges: 1,
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intervalRanges: 0,
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}, {
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@ -40,7 +40,7 @@ type (
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sample struct {
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time time.Time
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value float32
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value float64
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}
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sampleGroup struct {
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@ -90,7 +90,7 @@ func (s sampleGroup) Get() (key, value coding.Encoder) {
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for _, value := range s.values {
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series.Value = append(series.Value, &dto.SampleValueSeries_Value{
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Timestamp: proto.Int64(value.time.Unix()),
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Value: proto.Float32(float32(value.value)),
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Value: proto.Float64(value.value),
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})
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}
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@ -619,7 +619,7 @@ func (l *LevelDBMetricPersistence) AppendSamples(samples model.Samples) (err err
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for _, sample := range chunk {
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value.Value = append(value.Value, &dto.SampleValueSeries_Value{
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Timestamp: proto.Int64(sample.Timestamp.Unix()),
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Value: proto.Float32(float32(sample.Value)),
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Value: sample.Value.ToDTO(),
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})
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}
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@ -26,7 +26,7 @@ func GetValueAtTimeTests(persistenceMaker func() (MetricPersistence, test.Closer
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month time.Month
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day int
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hour int
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value float32
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value float64
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}
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type input struct {
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@ -358,7 +358,7 @@ func GetBoundaryValuesTests(persistenceMaker func() (MetricPersistence, test.Clo
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month time.Month
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day int
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hour int
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value float32
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value float64
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}
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type input struct {
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@ -672,7 +672,7 @@ func GetRangeValuesTests(persistenceMaker func() (MetricPersistence, test.Closer
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month time.Month
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day int
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hour int
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value float32
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value float64
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}
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type input struct {
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@ -691,7 +691,7 @@ func GetRangeValuesTests(persistenceMaker func() (MetricPersistence, test.Closer
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month time.Month
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day int
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hour int
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value float32
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value model.SampleValue
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}
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type behavior struct {
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