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Remove PData prefix/suffix from prometheus internal struct names #9767

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May 6, 2022
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ type kv struct {
Key, Value string
}

func distPointPdata(ts pcommon.Timestamp, bounds []float64, counts []uint64) *pmetric.HistogramDataPoint {
func distPoint(ts pcommon.Timestamp, bounds []float64, counts []uint64) *pmetric.HistogramDataPoint {
hdp := pmetric.NewHistogramDataPoint()
hdp.SetExplicitBounds(bounds)
hdp.SetBucketCounts(counts)
Expand All @@ -42,7 +42,7 @@ func distPointPdata(ts pcommon.Timestamp, bounds []float64, counts []uint64) *pm
return &hdp
}

func cumulativeDistMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.HistogramDataPoint) *pmetric.Metric {
func cumulativeDistMetric(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.HistogramDataPoint) *pmetric.Metric {
metric := pmetric.NewMetric()
metric.SetName(name)
metric.SetDataType(pmetric.MetricDataTypeHistogram)
Expand All @@ -63,15 +63,15 @@ func cumulativeDistMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp
return &metric
}

func doublePointPdata(ts pcommon.Timestamp, value float64) *pmetric.NumberDataPoint {
func doublePoint(ts pcommon.Timestamp, value float64) *pmetric.NumberDataPoint {
ndp := pmetric.NewNumberDataPoint()
ndp.SetTimestamp(ts)
ndp.SetDoubleVal(value)

return &ndp
}

func gaugeMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.NumberDataPoint) *pmetric.Metric {
func gaugeMetric(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.NumberDataPoint) *pmetric.Metric {
metric := pmetric.NewMetric()
metric.SetName(name)
metric.SetDataType(pmetric.MetricDataTypeGauge)
Expand All @@ -89,7 +89,7 @@ func gaugeMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp, points
return &metric
}

func summaryPointPdata(ts pcommon.Timestamp, count uint64, sum float64, quantiles, values []float64) *pmetric.SummaryDataPoint {
func summaryPoint(ts pcommon.Timestamp, count uint64, sum float64, quantiles, values []float64) *pmetric.SummaryDataPoint {
sdp := pmetric.NewSummaryDataPoint()
sdp.SetTimestamp(ts)
sdp.SetCount(count)
Expand All @@ -103,7 +103,7 @@ func summaryPointPdata(ts pcommon.Timestamp, count uint64, sum float64, quantile
return &sdp
}

func summaryMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.SummaryDataPoint) *pmetric.Metric {
func summaryMetric(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.SummaryDataPoint) *pmetric.Metric {
metric := pmetric.NewMetric()
metric.SetName(name)
metric.SetDataType(pmetric.MetricDataTypeSummary)
Expand All @@ -121,7 +121,7 @@ func summaryMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp, point
return &metric
}

func sumMetricPdata(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.NumberDataPoint) *pmetric.Metric {
func sumMetric(name string, kvp []*kv, startTs pcommon.Timestamp, points ...*pmetric.NumberDataPoint) *pmetric.Metric {
metric := pmetric.NewMetric()
metric.SetName(name)
metric.SetDataType(pmetric.MetricDataTypeSum)
Expand Down
8 changes: 4 additions & 4 deletions receiver/prometheusreceiver/internal/ocastore.go
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ type OcaStore struct {
ctx context.Context

sink consumer.Metrics
jobsMap *JobsMapPdata
jobsMap *JobsMap
useStartTimeMetric bool
startTimeMetricRegex string
receiverID config.ComponentID
Expand All @@ -51,9 +51,9 @@ func NewOcaStore(
startTimeMetricRegex string,
receiverID config.ComponentID,
externalLabels labels.Labels) *OcaStore {
var jobsMap *JobsMapPdata
var jobsMap *JobsMap
if !useStartTimeMetric {
jobsMap = NewJobsMapPdata(gcInterval)
jobsMap = NewJobsMap(gcInterval)
}
return &OcaStore{
ctx: ctx,
Expand All @@ -68,7 +68,7 @@ func NewOcaStore(
}

func (o *OcaStore) Appender(ctx context.Context) storage.Appender {
return newTransactionPdata(
return newTransaction(
ctx,
&txConfig{
jobsMap: o.jobsMap,
Expand Down
68 changes: 34 additions & 34 deletions receiver/prometheusreceiver/internal/otlp_metricfamily.go
Original file line number Diff line number Diff line change
Expand Up @@ -28,9 +28,9 @@ import (
"go.uber.org/zap"
)

type metricFamilyPdata struct {
type metricFamily struct {
mtype pmetric.MetricDataType
groups map[string]*metricGroupPdata
groups map[string]*metricGroup
name string
mc MetadataCache
droppedTimeseries int
Expand All @@ -40,11 +40,11 @@ type metricFamilyPdata struct {
groupOrders map[string]int
}

// metricGroupPdata, represents a single metric of a metric family. for example a histogram metric is usually represent by
// metricGroup, represents a single metric of a metric family. for example a histogram metric is usually represent by
// a couple data complexValue (buckets and count/sum), a group of a metric family always share a same set of tags. for
// simple types like counter and gauge, each data point is a group of itself
type metricGroupPdata struct {
family *metricFamilyPdata
type metricGroup struct {
family *metricFamily
ts int64
ls labels.Labels
count float64
Expand All @@ -57,16 +57,16 @@ type metricGroupPdata struct {

var pdataStaleFlags = pmetric.NewMetricDataPointFlags(pmetric.MetricDataPointFlagNoRecordedValue)

func newMetricFamilyPdata(metricName string, mc MetadataCache, logger *zap.Logger) *metricFamilyPdata {
func newMetricFamily(metricName string, mc MetadataCache, logger *zap.Logger) *metricFamily {
metadata, familyName := metadataForMetric(metricName, mc)
mtype := convToPdataMetricType(metadata.Type)
mtype := convToMetricType(metadata.Type)
if mtype == pmetric.MetricDataTypeNone {
logger.Debug(fmt.Sprintf("Unknown-typed metric : %s %+v", metricName, metadata))
}

return &metricFamilyPdata{
return &metricFamily{
mtype: mtype,
groups: make(map[string]*metricGroupPdata),
groups: make(map[string]*metricGroup),
name: familyName,
mc: mc,
droppedTimeseries: 0,
Expand All @@ -80,9 +80,9 @@ func newMetricFamilyPdata(metricName string, mc MetadataCache, logger *zap.Logge
// updateLabelKeys is used to store all the label keys of a same metric family in observed order. since prometheus
// receiver removes any label with empty value before feeding it to an appender, in order to figure out all the labels
// from the same metric family we will need to keep track of what labels have ever been observed.
func (mf *metricFamilyPdata) updateLabelKeys(ls labels.Labels) {
func (mf *metricFamily) updateLabelKeys(ls labels.Labels) {
for _, l := range ls {
if isUsefulLabelPdata(mf.mtype, l.Name) {
if isUsefulLabel(mf.mtype, l.Name) {
if _, ok := mf.labelKeys[l.Name]; !ok {
mf.labelKeys[l.Name] = true
// use insertion sort to maintain order
Expand All @@ -97,8 +97,8 @@ func (mf *metricFamilyPdata) updateLabelKeys(ls labels.Labels) {
}

// includesMetric returns true if the metric is part of the family
func (mf *metricFamilyPdata) includesMetric(metricName string) bool {
if mf.isCumulativeTypePdata() {
func (mf *metricFamily) includesMetric(metricName string) bool {
if mf.isCumulativeType() {
// If it is a merged family type, then it should match the
// family name when suffixes are trimmed.
return normalizeMetricName(metricName) == mf.name
Expand All @@ -108,18 +108,18 @@ func (mf *metricFamilyPdata) includesMetric(metricName string) bool {
return metricName == mf.name
}

func (mf *metricFamilyPdata) getGroupKey(ls labels.Labels) string {
func (mf *metricFamily) getGroupKey(ls labels.Labels) string {
mf.updateLabelKeys(ls)
return dpgSignature(mf.labelKeysOrdered, ls)
}

func (mg *metricGroupPdata) sortPoints() {
func (mg *metricGroup) sortPoints() {
sort.Slice(mg.complexValue, func(i, j int) bool {
return mg.complexValue[i].boundary < mg.complexValue[j].boundary
})
}

func (mg *metricGroupPdata) toDistributionPoint(orderedLabelKeys []string, dest *pmetric.HistogramDataPointSlice) bool {
func (mg *metricGroup) toDistributionPoint(orderedLabelKeys []string, dest *pmetric.HistogramDataPointSlice) bool {
if !mg.hasCount || len(mg.complexValue) == 0 {
return false
}
Expand Down Expand Up @@ -164,11 +164,11 @@ func (mg *metricGroupPdata) toDistributionPoint(orderedLabelKeys []string, dest

// The timestamp MUST be in retrieved from milliseconds and converted to nanoseconds.
tsNanos := pdataTimestampFromMs(mg.ts)
if mg.family.isCumulativeTypePdata() {
if mg.family.isCumulativeType() {
point.SetStartTimestamp(tsNanos) // metrics_adjuster adjusts the startTimestamp to the initial scrape timestamp
}
point.SetTimestamp(tsNanos)
populateAttributesPdata(orderedLabelKeys, mg.ls, point.Attributes())
populateAttributes(orderedLabelKeys, mg.ls, point.Attributes())

return true
}
Expand All @@ -178,7 +178,7 @@ func pdataTimestampFromMs(timeAtMs int64) pcommon.Timestamp {
return pcommon.NewTimestampFromTime(time.Unix(secs, ns))
}

func (mg *metricGroupPdata) toSummaryPoint(orderedLabelKeys []string, dest *pmetric.SummaryDataPointSlice) bool {
func (mg *metricGroup) toSummaryPoint(orderedLabelKeys []string, dest *pmetric.SummaryDataPointSlice) bool {
// expecting count to be provided, however, in the following two cases, they can be missed.
// 1. data is corrupted
// 2. ignored by startValue evaluation
Expand Down Expand Up @@ -216,19 +216,19 @@ func (mg *metricGroupPdata) toSummaryPoint(orderedLabelKeys []string, dest *pmet
// The timestamp MUST be in retrieved from milliseconds and converted to nanoseconds.
tsNanos := pdataTimestampFromMs(mg.ts)
point.SetTimestamp(tsNanos)
if mg.family.isCumulativeTypePdata() {
if mg.family.isCumulativeType() {
point.SetStartTimestamp(tsNanos) // metrics_adjuster adjusts the startTimestamp to the initial scrape timestamp
}
populateAttributesPdata(orderedLabelKeys, mg.ls, point.Attributes())
populateAttributes(orderedLabelKeys, mg.ls, point.Attributes())

return true
}

func (mg *metricGroupPdata) toNumberDataPoint(orderedLabelKeys []string, dest *pmetric.NumberDataPointSlice) bool {
func (mg *metricGroup) toNumberDataPoint(orderedLabelKeys []string, dest *pmetric.NumberDataPointSlice) bool {
var startTsNanos pcommon.Timestamp
tsNanos := pdataTimestampFromMs(mg.ts)
// gauge/undefined types have no start time.
if mg.family.isCumulativeTypePdata() {
if mg.family.isCumulativeType() {
startTsNanos = tsNanos // metrics_adjuster adjusts the startTimestamp to the initial scrape timestamp
}

Expand All @@ -240,12 +240,12 @@ func (mg *metricGroupPdata) toNumberDataPoint(orderedLabelKeys []string, dest *p
} else {
point.SetDoubleVal(mg.value)
}
populateAttributesPdata(orderedLabelKeys, mg.ls, point.Attributes())
populateAttributes(orderedLabelKeys, mg.ls, point.Attributes())

return true
}

func populateAttributesPdata(orderedKeys []string, ls labels.Labels, dest pcommon.Map) {
func populateAttributes(orderedKeys []string, ls labels.Labels, dest pcommon.Map) {
src := ls.Map()
for _, key := range orderedKeys {
if src[key] == "" {
Expand All @@ -257,18 +257,18 @@ func populateAttributesPdata(orderedKeys []string, ls labels.Labels, dest pcommo
}

// Purposefully being referenced to avoid lint warnings about being "unused".
var _ = (*metricFamilyPdata)(nil).updateLabelKeys
var _ = (*metricFamily)(nil).updateLabelKeys

func (mf *metricFamilyPdata) isCumulativeTypePdata() bool {
func (mf *metricFamily) isCumulativeType() bool {
return mf.mtype == pmetric.MetricDataTypeSum ||
mf.mtype == pmetric.MetricDataTypeHistogram ||
mf.mtype == pmetric.MetricDataTypeSummary
}

func (mf *metricFamilyPdata) loadMetricGroupOrCreate(groupKey string, ls labels.Labels, ts int64) *metricGroupPdata {
func (mf *metricFamily) loadMetricGroupOrCreate(groupKey string, ls labels.Labels, ts int64) *metricGroup {
mg, ok := mf.groups[groupKey]
if !ok {
mg = &metricGroupPdata{
mg = &metricGroup{
family: mf,
ts: ts,
ls: ls,
Expand All @@ -281,7 +281,7 @@ func (mf *metricFamilyPdata) loadMetricGroupOrCreate(groupKey string, ls labels.
return mg
}

func (mf *metricFamilyPdata) Add(metricName string, ls labels.Labels, t int64, v float64) error {
func (mf *metricFamily) Add(metricName string, ls labels.Labels, t int64, v float64) error {
groupKey := mf.getGroupKey(ls)
mg := mf.loadMetricGroupOrCreate(groupKey, ls, t)
switch mf.mtype {
Expand All @@ -297,7 +297,7 @@ func (mf *metricFamilyPdata) Add(metricName string, ls labels.Labels, t int64, v
mg.count = v
mg.hasCount = true
default:
boundary, err := getBoundaryPdata(mf.mtype, ls)
boundary, err := getBoundary(mf.mtype, ls)
if err != nil {
mf.droppedTimeseries++
return err
Expand All @@ -312,15 +312,15 @@ func (mf *metricFamilyPdata) Add(metricName string, ls labels.Labels, t int64, v
}

// getGroups to return groups in insertion order
func (mf *metricFamilyPdata) getGroups() []*metricGroupPdata {
groups := make([]*metricGroupPdata, len(mf.groupOrders))
func (mf *metricFamily) getGroups() []*metricGroup {
groups := make([]*metricGroup, len(mf.groupOrders))
for k, v := range mf.groupOrders {
groups[v] = mf.groups[k]
}
return groups
}

func (mf *metricFamilyPdata) ToMetricPdata(metrics *pmetric.MetricSlice) (int, int) {
func (mf *metricFamily) ToMetric(metrics *pmetric.MetricSlice) (int, int) {
metric := pmetric.NewMetric()
metric.SetDataType(mf.mtype)
metric.SetName(mf.name)
Expand Down
12 changes: 6 additions & 6 deletions receiver/prometheusreceiver/internal/otlp_metricfamily_test.go
Original file line number Diff line number Diff line change
Expand Up @@ -162,7 +162,7 @@ func TestMetricGroupData_toDistributionUnitTest(t *testing.T) {
for _, tt := range tests {
tt := tt
t.Run(tt.name, func(t *testing.T) {
mp := newMetricFamilyPdata(tt.metricName, mc, zap.NewNop())
mp := newMetricFamily(tt.metricName, mc, zap.NewNop())
for _, tv := range tt.scrapes {
var lbls labels.Labels
if tv.extraLabel.Name != "" {
Expand All @@ -178,7 +178,7 @@ func TestMetricGroupData_toDistributionUnitTest(t *testing.T) {
require.NotNil(t, mp.groups[groupKey], "Expecting the groupKey to have a value given key:: "+groupKey)

sl := pmetric.NewMetricSlice()
mp.ToMetricPdata(&sl)
mp.ToMetric(&sl)

require.Equal(t, 1, sl.Len(), "Exactly one metric expected")
metric := sl.At(0)
Expand Down Expand Up @@ -378,7 +378,7 @@ func TestMetricGroupData_toSummaryUnitTest(t *testing.T) {
for _, tt := range tests {
tt := tt
t.Run(tt.name, func(t *testing.T) {
mp := newMetricFamilyPdata(tt.name, mc, zap.NewNop())
mp := newMetricFamily(tt.name, mc, zap.NewNop())
for _, lbs := range tt.labelsScrapes {
for _, scrape := range lbs.scrapes {
require.NoError(t, mp.Add(scrape.metric, lbs.labels.Copy(), scrape.at, scrape.value))
Expand All @@ -394,7 +394,7 @@ func TestMetricGroupData_toSummaryUnitTest(t *testing.T) {
require.NotNil(t, mp.groups[groupKey], "Expecting the groupKey to have a value given key:: "+groupKey)

sl := pmetric.NewMetricSlice()
mp.ToMetricPdata(&sl)
mp.ToMetric(&sl)

require.Equal(t, 1, sl.Len(), "Exactly one metric expected")
metric := sl.At(0)
Expand Down Expand Up @@ -467,7 +467,7 @@ func TestMetricGroupData_toNumberDataUnitTest(t *testing.T) {
for _, tt := range tests {
tt := tt
t.Run(tt.name, func(t *testing.T) {
mp := newMetricFamilyPdata(tt.metricKind, mc, zap.NewNop())
mp := newMetricFamily(tt.metricKind, mc, zap.NewNop())
for _, tv := range tt.scrapes {
require.NoError(t, mp.Add(tv.metric, tt.labels.Copy(), tv.at, tv.value))
}
Expand All @@ -477,7 +477,7 @@ func TestMetricGroupData_toNumberDataUnitTest(t *testing.T) {
require.NotNil(t, mp.groups[groupKey], "Expecting the groupKey to have a value given key:: "+groupKey)

sl := pmetric.NewMetricSlice()
mp.ToMetricPdata(&sl)
mp.ToMetric(&sl)

require.Equal(t, 1, sl.Len(), "Exactly one metric expected")
metric := sl.At(0)
Expand Down
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