func GetFingerprintsForLabelSetTests(p MetricPersistence, t test.Tester) {
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
model.MetricNameLabel: "my_metric",
"request_type": "your_mom",
},
}, t)
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
model.MetricNameLabel: "my_metric",
"request_type": "your_dad",
},
}, t)
result, err := p.GetFingerprintsForLabelSet(model.LabelSet{
model.MetricNameLabel: model.LabelValue("my_metric"),
})
if err != nil {
t.Error(err)
}
if len(result) != 2 {
t.Errorf("Expected two elements.")
}
result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
model.LabelName("request_type"): model.LabelValue("your_mom"),
})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
model.LabelName("request_type"): model.LabelValue("your_dad"),
})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
}
func ReadEmptyTests(p MetricPersistence, t test.Tester) {
hasLabelPair := func(x int) (success bool) {
name := model.LabelName(string(x))
value := model.LabelValue(string(x))
labelSet := model.LabelSet{
name: value,
}
fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
if err != nil {
t.Error(err)
return
}
success = len(fingerprints) == 0
if !success {
t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
}
return
}
err := quick.Check(hasLabelPair, nil)
if err != nil {
t.Error(err)
return
}
hasLabelName := func(x int) (success bool) {
labelName := model.LabelName(string(x))
fingerprints, err := p.GetFingerprintsForLabelName(labelName)
if err != nil {
t.Error(err)
return
}
success = len(fingerprints) == 0
if !success {
t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
}
return
}
err = quick.Check(hasLabelName, nil)
if err != nil {
t.Error(err)
return
}
}
func (l *LevelDBMetricPersistence) GetMetricForFingerprint(f model.Fingerprint) (m *model.Metric, err error) {
begin := time.Now()
defer func() {
duration := time.Since(begin)
recordOutcome(duration, err, map[string]string{operation: getMetricForFingerprint, result: success}, map[string]string{operation: getMetricForFingerprint, result: failure})
}()
raw, err := l.fingerprintToMetrics.Get(coding.NewProtocolBuffer(model.FingerprintToDTO(f)))
if err != nil {
return
}
unmarshaled := &dto.Metric{}
err = proto.Unmarshal(raw, unmarshaled)
if err != nil {
return
}
metric := model.Metric{}
for _, v := range unmarshaled.LabelPair {
metric[model.LabelName(*v.Name)] = model.LabelValue(*v.Value)
}
// Explicit address passing here shaves immense amounts of time off of the
// code flow due to less tight-loop dereferencing.
m = &metric
return
}
func AppendSampleAsPureSparseAppendTests(p MetricPersistence, t test.Tester) {
appendSample := func(x int) (success bool) {
v := model.SampleValue(x)
ts := time.Unix(int64(x), int64(x))
labelName := model.LabelName(x)
labelValue := model.LabelValue(x)
l := model.Metric{labelName: labelValue}
sample := model.Sample{
Value: v,
Timestamp: ts,
Metric: l,
}
err := p.AppendSample(sample)
success = err == nil
if !success {
t.Error(err)
}
return
}
if err := quick.Check(appendSample, nil); err != nil {
t.Error(err)
}
}
func (d *MetricKeyDecoder) DecodeKey(in interface{}) (out interface{}, err error) {
unmarshaled := dto.LabelPair{}
err = proto.Unmarshal(in.([]byte), &unmarshaled)
if err != nil {
return
}
out = model.LabelPair{
Name: model.LabelName(*unmarshaled.Name),
Value: model.LabelValue(*unmarshaled.Value),
}
return
}
func AppendSampleAsSparseAppendWithReadsTests(p MetricPersistence, t test.Tester) {
appendSample := func(x int) (success bool) {
v := model.SampleValue(x)
ts := time.Unix(int64(x), int64(x))
labelName := model.LabelName(x)
labelValue := model.LabelValue(x)
l := model.Metric{labelName: labelValue}
sample := model.Sample{
Value: v,
Timestamp: ts,
Metric: l,
}
err := p.AppendSample(sample)
if err != nil {
t.Error(err)
return
}
fingerprints, err := p.GetFingerprintsForLabelName(labelName)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) != 1 {
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
return
}
fingerprints, err = p.GetFingerprintsForLabelSet(model.LabelSet{
labelName: labelValue,
})
if err != nil {
t.Error(err)
return
}
if len(fingerprints) != 1 {
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
return
}
return true
}
if err := quick.Check(appendSample, nil); err != nil {
t.Error(err)
}
}
func (m *targetManager) AddTargetsFromConfig(config *config.Config) {
for _, job := range config.Jobs {
for _, configTargets := range job.Targets {
baseLabels := model.LabelSet{
model.LabelName("job"): model.LabelValue(job.Name),
}
for label, value := range configTargets.Labels {
baseLabels[label] = value
}
for _, endpoint := range configTargets.Endpoints {
target := NewTarget(endpoint, time.Second*5, baseLabels)
m.AddTarget(&job, target, config.Global.ScrapeInterval)
}
}
}
}
func (serv MetricsService) SetTargets(targetGroups []TargetGroup, jobName string) {
if job := serv.appState.Config.GetJobByName(jobName); job == nil {
rb := serv.ResponseBuilder()
rb.SetResponseCode(http.StatusNotFound)
} else {
newTargets := []retrieval.Target{}
for _, targetGroup := range targetGroups {
// Do mandatory map type conversion due to Go shortcomings.
baseLabels := model.LabelSet{}
for label, value := range targetGroup.BaseLabels {
baseLabels[model.LabelName(label)] = model.LabelValue(value)
}
for _, endpoint := range targetGroup.Endpoints {
newTarget := retrieval.NewTarget(endpoint, time.Second*5, baseLabels)
newTargets = append(newTargets, newTarget)
}
}
serv.appState.TargetManager.ReplaceTargets(job, newTargets, serv.appState.Config.Global.ScrapeInterval)
}
}
func GetFingerprintsForLabelSetUsesAndForLabelMatchingTests(p MetricPersistence, t test.Tester) {
metrics := []model.LabelSet{
{model.MetricNameLabel: "request_metrics_latency_equal_tallying_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
{model.MetricNameLabel: "requests_metrics_latency_equal_accumulating_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
{model.MetricNameLabel: "requests_metrics_latency_logarithmic_accumulating_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
{model.MetricNameLabel: "requests_metrics_latency_logarithmic_tallying_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
{model.MetricNameLabel: "targets_healthy_scrape_latency_ms", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
}
for _, metric := range metrics {
m := model.Metric{}
for k, v := range metric {
m[model.LabelName(k)] = model.LabelValue(v)
}
testAppendSample(p, model.Sample{
Value: model.SampleValue(0.0),
Timestamp: time.Now(),
Metric: m,
}, t)
}
labelSet := model.LabelSet{
model.MetricNameLabel: "targets_healthy_scrape_latency_ms",
"percentile": "0.010000",
}
fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
if err != nil {
t.Errorf("could not get labels: %s", err)
}
if len(fingerprints) != 1 {
t.Errorf("did not get a single metric as is expected, got %s", fingerprints)
}
}
func (p *processor001) Process(stream io.ReadCloser, baseLabels model.LabelSet, results chan Result) (err error) {
// TODO(matt): Replace with plain-jane JSON unmarshalling.
defer stream.Close()
buffer, err := ioutil.ReadAll(stream)
if err != nil {
return
}
entities := entity001{}
err = json.Unmarshal(buffer, &entities)
if err != nil {
return
}
now := p.time.Now()
// TODO(matt): This outer loop is a great basis for parallelization.
for _, entity := range entities {
for _, value := range entity.Metric.Value {
metric := model.Metric{}
for label, labelValue := range baseLabels {
metric[label] = labelValue
}
for label, labelValue := range entity.BaseLabels {
metric[model.LabelName(label)] = model.LabelValue(labelValue)
}
for label, labelValue := range value.Labels {
metric[model.LabelName(label)] = model.LabelValue(labelValue)
}
switch entity.Metric.MetricType {
case gauge001, counter001:
sampleValue, ok := value.Value.(float64)
if !ok {
err = fmt.Errorf("Could not convert value from %s %s to float64.", entity, value)
continue
}
sample := model.Sample{
Metric: metric,
Timestamp: now,
Value: model.SampleValue(sampleValue),
}
results <- Result{
Err: err,
Sample: sample,
}
break
case histogram001:
sampleValue, ok := value.Value.(map[string]interface{})
if !ok {
err = fmt.Errorf("Could not convert value from %q to a map[string]interface{}.", value.Value)
continue
}
for percentile, percentileValue := range sampleValue {
individualValue, ok := percentileValue.(float64)
if !ok {
err = fmt.Errorf("Could not convert value from %q to a float64.", percentileValue)
continue
}
childMetric := make(map[model.LabelName]model.LabelValue, len(metric)+1)
for k, v := range metric {
childMetric[k] = v
}
childMetric[model.LabelName(percentile001)] = model.LabelValue(percentile)
sample := model.Sample{
Metric: childMetric,
Timestamp: now,
Value: model.SampleValue(individualValue),
}
results <- Result{
Err: err,
Sample: sample,
}
}
break
default:
}
}
}
return
}
func yyParse(yylex yyLexer) int {
var yyn int
var yylval yySymType
var yyVAL yySymType
yyS := make([]yySymType, yyMaxDepth)
Nerrs := 0 /* number of errors */
Errflag := 0 /* error recovery flag */
yystate := 0
yychar := -1
yyp := -1
goto yystack
ret0:
return 0
ret1:
return 1
yystack:
/* put a state and value onto the stack */
if yyDebug >= 4 {
fmt.Printf("char %v in %v\n", yyTokname(yychar), yyStatname(yystate))
}
yyp++
if yyp >= len(yyS) {
nyys := make([]yySymType, len(yyS)*2)
copy(nyys, yyS)
yyS = nyys
}
yyS[yyp] = yyVAL
yyS[yyp].yys = yystate
yynewstate:
yyn = yyPact[yystate]
if yyn <= yyFlag {
goto yydefault /* simple state */
}
if yychar < 0 {
yychar = yylex1(yylex, &yylval)
}
yyn += yychar
if yyn < 0 || yyn >= yyLast {
goto yydefault
}
yyn = yyAct[yyn]
if yyChk[yyn] == yychar { /* valid shift */
yychar = -1
yyVAL = yylval
yystate = yyn
if Errflag > 0 {
Errflag--
}
goto yystack
}
yydefault:
/* default state action */
yyn = yyDef[yystate]
if yyn == -2 {
if yychar < 0 {
yychar = yylex1(yylex, &yylval)
}
/* look through exception table */
xi := 0
for {
if yyExca[xi+0] == -1 && yyExca[xi+1] == yystate {
break
}
xi += 2
}
for xi += 2; ; xi += 2 {
yyn = yyExca[xi+0]
if yyn < 0 || yyn == yychar {
break
}
}
yyn = yyExca[xi+1]
if yyn < 0 {
goto ret0
}
}
if yyn == 0 {
/* error ... attempt to resume parsing */
switch Errflag {
case 0: /* brand new error */
yylex.Error("syntax error")
Nerrs++
if yyDebug >= 1 {
fmt.Printf("%s", yyStatname(yystate))
fmt.Printf("saw %s\n", yyTokname(yychar))
}
fallthrough
case 1, 2: /* incompletely recovered error ... try again */
Errflag = 3
/* find a state where "error" is a legal shift action */
for yyp >= 0 {
yyn = yyPact[yyS[yyp].yys] + yyErrCode
if yyn >= 0 && yyn < yyLast {
yystate = yyAct[yyn] /* simulate a shift of "error" */
if yyChk[yystate] == yyErrCode {
goto yystack
}
}
/* the current p has no shift on "error", pop stack */
if yyDebug >= 2 {
fmt.Printf("error recovery pops state %d\n", yyS[yyp].yys)
}
yyp--
}
/* there is no state on the stack with an error shift ... abort */
goto ret1
case 3: /* no shift yet; clobber input char */
if yyDebug >= 2 {
fmt.Printf("error recovery discards %s\n", yyTokname(yychar))
}
if yychar == yyEofCode {
goto ret1
}
yychar = -1
goto yynewstate /* try again in the same state */
}
}
/* reduction by production yyn */
if yyDebug >= 2 {
fmt.Printf("reduce %v in:\n\t%v\n", yyn, yyStatname(yystate))
}
yynt := yyn
yypt := yyp
_ = yypt // guard against "declared and not used"
yyp -= yyR2[yyn]
yyVAL = yyS[yyp+1]
/* consult goto table to find next state */
yyn = yyR1[yyn]
yyg := yyPgo[yyn]
yyj := yyg + yyS[yyp].yys + 1
if yyj >= yyLast {
yystate = yyAct[yyg]
} else {
yystate = yyAct[yyj]
if yyChk[yystate] != -yyn {
yystate = yyAct[yyg]
}
}
// dummy call; replaced with literal code
switch yynt {
case 4:
//line parser.y:45
{
PopJob()
}
case 7:
//line parser.y:53
{
parsedConfig.Global.SetOption(yyS[yypt-2].str, yyS[yypt-0].str)
}
case 8:
//line parser.y:55
{
parsedConfig.Global.SetLabels(yyS[yypt-0].labelSet)
}
case 9:
//line parser.y:57
{
parsedConfig.Global.AddRuleFiles(yyS[yypt-0].stringSlice)
}
case 10:
//line parser.y:61
{
yyVAL.labelSet = yyS[yypt-1].labelSet
}
case 11:
//line parser.y:63
{
yyVAL.labelSet = model.LabelSet{}
}
case 12:
//line parser.y:67
{
yyVAL.labelSet = yyS[yypt-0].labelSet
}
case 13:
//line parser.y:69
{
for k, v := range yyS[yypt-0].labelSet {
yyVAL.labelSet[k] = v
}
}
case 14:
//line parser.y:73
{
yyVAL.labelSet = model.LabelSet{model.LabelName(yyS[yypt-2].str): model.LabelValue(yyS[yypt-0].str)}
}
case 15:
//line parser.y:77
{
yyVAL.stringSlice = yyS[yypt-0].stringSlice
}
case 18:
//line parser.y:85
{
PushJobOption(yyS[yypt-2].str, yyS[yypt-0].str)
}
case 19:
//line parser.y:87
{
PushJobTargets()
}
case 22:
//line parser.y:95
{
PushTargetEndpoints(yyS[yypt-0].stringSlice)
}
case 23:
//line parser.y:97
{
PushTargetLabels(yyS[yypt-0].labelSet)
}
case 24:
//line parser.y:101
{
yyVAL.stringSlice = yyS[yypt-0].stringSlice
}
case 25:
//line parser.y:105
{
yyVAL.stringSlice = yyS[yypt-1].stringSlice
}
case 26:
//line parser.y:107
{
yyVAL.stringSlice = []string{}
}
case 27:
//line parser.y:111
{
yyVAL.stringSlice = []string{yyS[yypt-0].str}
}
case 28:
//line parser.y:113
{
yyVAL.stringSlice = append(yyVAL.stringSlice, yyS[yypt-0].str)
}
}
goto yystack /* stack new state and value */
}
func yyParse(yylex yyLexer) int {
var yyn int
var yylval yySymType
var yyVAL yySymType
yyS := make([]yySymType, yyMaxDepth)
Nerrs := 0 /* number of errors */
Errflag := 0 /* error recovery flag */
yystate := 0
yychar := -1
yyp := -1
goto yystack
ret0:
return 0
ret1:
return 1
yystack:
/* put a state and value onto the stack */
if yyDebug >= 4 {
fmt.Printf("char %v in %v\n", yyTokname(yychar), yyStatname(yystate))
}
yyp++
if yyp >= len(yyS) {
nyys := make([]yySymType, len(yyS)*2)
copy(nyys, yyS)
yyS = nyys
}
yyS[yyp] = yyVAL
yyS[yyp].yys = yystate
yynewstate:
yyn = yyPact[yystate]
if yyn <= yyFlag {
goto yydefault /* simple state */
}
if yychar < 0 {
yychar = yylex1(yylex, &yylval)
}
yyn += yychar
if yyn < 0 || yyn >= yyLast {
goto yydefault
}
yyn = yyAct[yyn]
if yyChk[yyn] == yychar { /* valid shift */
yychar = -1
yyVAL = yylval
yystate = yyn
if Errflag > 0 {
Errflag--
}
goto yystack
}
yydefault:
/* default state action */
yyn = yyDef[yystate]
if yyn == -2 {
if yychar < 0 {
yychar = yylex1(yylex, &yylval)
}
/* look through exception table */
xi := 0
for {
if yyExca[xi+0] == -1 && yyExca[xi+1] == yystate {
break
}
xi += 2
}
for xi += 2; ; xi += 2 {
yyn = yyExca[xi+0]
if yyn < 0 || yyn == yychar {
break
}
}
yyn = yyExca[xi+1]
if yyn < 0 {
goto ret0
}
}
if yyn == 0 {
/* error ... attempt to resume parsing */
switch Errflag {
case 0: /* brand new error */
yylex.Error("syntax error")
Nerrs++
if yyDebug >= 1 {
fmt.Printf("%s", yyStatname(yystate))
fmt.Printf("saw %s\n", yyTokname(yychar))
}
fallthrough
case 1, 2: /* incompletely recovered error ... try again */
Errflag = 3
/* find a state where "error" is a legal shift action */
for yyp >= 0 {
yyn = yyPact[yyS[yyp].yys] + yyErrCode
if yyn >= 0 && yyn < yyLast {
yystate = yyAct[yyn] /* simulate a shift of "error" */
if yyChk[yystate] == yyErrCode {
goto yystack
}
}
/* the current p has no shift on "error", pop stack */
if yyDebug >= 2 {
fmt.Printf("error recovery pops state %d\n", yyS[yyp].yys)
}
yyp--
}
/* there is no state on the stack with an error shift ... abort */
goto ret1
case 3: /* no shift yet; clobber input char */
if yyDebug >= 2 {
fmt.Printf("error recovery discards %s\n", yyTokname(yychar))
}
if yychar == yyEofCode {
goto ret1
}
yychar = -1
goto yynewstate /* try again in the same state */
}
}
/* reduction by production yyn */
if yyDebug >= 2 {
fmt.Printf("reduce %v in:\n\t%v\n", yyn, yyStatname(yystate))
}
yynt := yyn
yypt := yyp
_ = yypt // guard against "declared and not used"
yyp -= yyR2[yyn]
yyVAL = yyS[yyp+1]
/* consult goto table to find next state */
yyn = yyR1[yyn]
yyg := yyPgo[yyn]
yyj := yyg + yyS[yyp].yys + 1
if yyj >= yyLast {
yystate = yyAct[yyg]
} else {
yystate = yyAct[yyj]
if yyChk[yystate] != -yyn {
yystate = yyAct[yyg]
}
}
// dummy call; replaced with literal code
switch yynt {
case 5:
//line parser.y:65
{
yylex.(*RulesLexer).parsedExpr = yyS[yypt-0].ruleNode
}
case 6:
//line parser.y:69
{
rule, err := CreateRule(yyS[yypt-3].str, yyS[yypt-2].labelSet, yyS[yypt-0].ruleNode, yyS[yypt-4].boolean)
if err != nil {
yylex.Error(err.Error())
return 1
}
yylex.(*RulesLexer).parsedRules = append(yylex.(*RulesLexer).parsedRules, rule)
}
case 7:
//line parser.y:77
{
yyVAL.boolean = false
}
case 8:
//line parser.y:79
{
yyVAL.boolean = true
}
case 9:
//line parser.y:83
{
yyVAL.labelSet = model.LabelSet{}
}
case 10:
//line parser.y:85
{
yyVAL.labelSet = yyS[yypt-1].labelSet
}
case 11:
//line parser.y:87
{
yyVAL.labelSet = model.LabelSet{}
}
case 12:
//line parser.y:90
{
yyVAL.labelSet = yyS[yypt-0].labelSet
}
case 13:
//line parser.y:92
{
for k, v := range yyS[yypt-0].labelSet {
yyVAL.labelSet[k] = v
}
}
case 14:
//line parser.y:96
{
yyVAL.labelSet = model.LabelSet{model.LabelName(yyS[yypt-2].str): model.LabelValue(yyS[yypt-0].str)}
}
case 15:
//line parser.y:101
{
yyVAL.ruleNode = yyS[yypt-1].ruleNode
}
case 16:
//line parser.y:103
{
yyS[yypt-0].labelSet[model.MetricNameLabel] = model.LabelValue(yyS[yypt-1].str)
yyVAL.ruleNode = ast.NewVectorLiteral(yyS[yypt-0].labelSet)
}
case 17:
//line parser.y:105
{
var err error
yyVAL.ruleNode, err = NewFunctionCall(yyS[yypt-3].str, yyS[yypt-1].ruleNodeSlice)
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 18:
//line parser.y:111
{
var err error
yyVAL.ruleNode, err = NewFunctionCall(yyS[yypt-2].str, []ast.Node{})
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 19:
//line parser.y:117
{
var err error
yyVAL.ruleNode, err = NewMatrix(yyS[yypt-3].ruleNode, yyS[yypt-1].str)
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 20:
//line parser.y:123
{
var err error
yyVAL.ruleNode, err = NewVectorAggregation(yyS[yypt-4].str, yyS[yypt-2].ruleNode, yyS[yypt-0].labelNameSlice)
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 21:
//line parser.y:131
{
var err error
yyVAL.ruleNode, err = NewArithExpr(yyS[yypt-1].str, yyS[yypt-2].ruleNode, yyS[yypt-0].ruleNode)
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 22:
//line parser.y:137
{
var err error
yyVAL.ruleNode, err = NewArithExpr(yyS[yypt-1].str, yyS[yypt-2].ruleNode, yyS[yypt-0].ruleNode)
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 23:
//line parser.y:143
{
var err error
yyVAL.ruleNode, err = NewArithExpr(yyS[yypt-1].str, yyS[yypt-2].ruleNode, yyS[yypt-0].ruleNode)
if err != nil {
yylex.Error(err.Error())
return 1
}
}
case 24:
//line parser.y:149
{
yyVAL.ruleNode = ast.NewScalarLiteral(yyS[yypt-0].num)
}
case 25:
//line parser.y:153
{
yyVAL.labelNameSlice = []model.LabelName{}
}
case 26:
//line parser.y:155
{
yyVAL.labelNameSlice = yyS[yypt-1].labelNameSlice
}
case 27:
//line parser.y:159
{
yyVAL.labelNameSlice = []model.LabelName{model.LabelName(yyS[yypt-0].str)}
}
case 28:
//line parser.y:161
{
yyVAL.labelNameSlice = append(yyVAL.labelNameSlice, model.LabelName(yyS[yypt-0].str))
}
case 29:
//line parser.y:165
{
yyVAL.ruleNodeSlice = []ast.Node{yyS[yypt-0].ruleNode}
}
case 30:
//line parser.y:167
{
yyVAL.ruleNodeSlice = append(yyVAL.ruleNodeSlice, yyS[yypt-0].ruleNode)
}
case 31:
//line parser.y:171
{
yyVAL.ruleNode = yyS[yypt-0].ruleNode
}
case 32:
//line parser.y:173
{
yyVAL.ruleNode = ast.NewStringLiteral(yyS[yypt-0].str)
}
}
goto yystack /* stack new state and value */
}
func GetFingerprintsForLabelNameTests(p MetricPersistence, t test.Tester) {
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
model.MetricNameLabel: "my_metric",
"request_type": "your_mom",
"language": "english",
},
}, t)
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
model.MetricNameLabel: "my_metric",
"request_type": "your_dad",
"sprache": "deutsch",
},
}, t)
b := model.MetricNameLabel
result, err := p.GetFingerprintsForLabelName(b)
if err != nil {
t.Error(err)
}
if len(result) != 2 {
t.Errorf("Expected two elements.")
}
b = model.LabelName("request_type")
result, err = p.GetFingerprintsForLabelName(b)
if err != nil {
t.Error(err)
}
if len(result) != 2 {
t.Errorf("Expected two elements.")
}
b = model.LabelName("language")
result, err = p.GetFingerprintsForLabelName(b)
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
b = model.LabelName("sprache")
result, err = p.GetFingerprintsForLabelName(b)
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
}
func GetMetricForFingerprintTests(p MetricPersistence, t test.Tester) {
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
"request_type": "your_mom",
},
}, t)
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
"request_type": "your_dad",
"one-off": "value",
},
}, t)
result, err := p.GetFingerprintsForLabelSet(model.LabelSet{
model.LabelName("request_type"): model.LabelValue("your_mom"),
})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
v, e := p.GetMetricForFingerprint(result[0])
if e != nil {
t.Error(e)
}
if v == nil {
t.Fatal("Did not expect nil.")
}
metric := *v
if len(metric) != 1 {
t.Errorf("Expected one-dimensional metric.")
}
if metric["request_type"] != "your_mom" {
t.Errorf("Expected metric to match.")
}
result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
model.LabelName("request_type"): model.LabelValue("your_dad"),
})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
v, e = p.GetMetricForFingerprint(result[0])
if v == nil {
t.Fatal("Did not expect nil.")
}
metric = *v
if e != nil {
t.Error(e)
}
if len(metric) != 2 {
t.Errorf("Expected one-dimensional metric.")
}
if metric["request_type"] != "your_dad" {
t.Errorf("Expected metric to match.")
}
if metric["one-off"] != "value" {
t.Errorf("Expected metric to match.")
}
}
func StochasticTests(persistenceMaker func() (MetricPersistence, test.Closer), t test.Tester) {
stochastic := func(x int) (success bool) {
p, closer := persistenceMaker()
defer closer.Close()
defer p.Close()
seed := rand.NewSource(int64(x))
random := rand.New(seed)
numberOfMetrics := random.Intn(stochasticMaximumVariance) + 1
numberOfSharedLabels := random.Intn(stochasticMaximumVariance)
numberOfUnsharedLabels := random.Intn(stochasticMaximumVariance)
numberOfSamples := random.Intn(stochasticMaximumVariance) + 2
numberOfRangeScans := random.Intn(stochasticMaximumVariance)
metricTimestamps := map[int]map[int64]bool{}
metricEarliestSample := map[int]int64{}
metricNewestSample := map[int]int64{}
for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ {
sample := model.Sample{
Metric: model.Metric{},
}
v := model.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex))
sample.Metric[model.MetricNameLabel] = v
for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
l := model.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex))
v := model.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex))
sample.Metric[l] = v
}
for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ {
l := model.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex))
v := model.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex))
sample.Metric[l] = v
}
timestamps := map[int64]bool{}
metricTimestamps[metricIndex] = timestamps
var (
newestSample int64 = math.MinInt64
oldestSample int64 = math.MaxInt64
nextTimestamp func() int64
)
nextTimestamp = func() int64 {
var candidate int64
candidate = random.Int63n(math.MaxInt32 - 1)
if _, has := timestamps[candidate]; has {
// WART
candidate = nextTimestamp()
}
timestamps[candidate] = true
if candidate < oldestSample {
oldestSample = candidate
}
if candidate > newestSample {
newestSample = candidate
}
return candidate
}
for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
sample.Timestamp = time.Unix(nextTimestamp(), 0)
sample.Value = model.SampleValue(sampleIndex)
err := p.AppendSample(sample)
if err != nil {
t.Error(err)
return
}
}
metricEarliestSample[metricIndex] = oldestSample
metricNewestSample[metricIndex] = newestSample
for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
labelPair := model.LabelSet{
model.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex)): model.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex)),
}
fingerprints, err := p.GetFingerprintsForLabelSet(labelPair)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) == 0 {
t.Errorf("expected fingerprint count of %d, got %d", 0, len(fingerprints))
return
}
labelName := model.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex))
fingerprints, err = p.GetFingerprintsForLabelName(labelName)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) == 0 {
t.Errorf("expected fingerprint count of %d, got %d", 0, len(fingerprints))
return
}
}
}
for sharedIndex := 0; sharedIndex < numberOfSharedLabels; sharedIndex++ {
labelName := model.LabelName(fmt.Sprintf("shared_label_%d", sharedIndex))
fingerprints, err := p.GetFingerprintsForLabelName(labelName)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) != numberOfMetrics {
t.Errorf("expected fingerprint count of %d, got %d", numberOfMetrics, len(fingerprints))
return
}
}
for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ {
for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ {
labelName := model.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex))
labelValue := model.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex))
labelSet := model.LabelSet{
labelName: labelValue,
}
fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) != 1 {
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
return
}
fingerprints, err = p.GetFingerprintsForLabelName(labelName)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) != 1 {
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
return
}
}
metric := model.Metric{}
metric[model.MetricNameLabel] = model.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex))
for i := 0; i < numberOfSharedLabels; i++ {
l := model.LabelName(fmt.Sprintf("shared_label_%d", i))
v := model.LabelValue(fmt.Sprintf("label_%d", i))
metric[l] = v
}
for i := 0; i < numberOfUnsharedLabels; i++ {
l := model.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, i))
v := model.LabelValue(fmt.Sprintf("private_label_%d", i))
metric[l] = v
}
for i := 0; i < numberOfRangeScans; i++ {
timestamps := metricTimestamps[metricIndex]
var first int64 = 0
var second int64 = 0
for {
firstCandidate := random.Int63n(int64(len(timestamps)))
secondCandidate := random.Int63n(int64(len(timestamps)))
smallest := int64(-1)
largest := int64(-1)
if firstCandidate == secondCandidate {
continue
} else if firstCandidate > secondCandidate {
largest = firstCandidate
smallest = secondCandidate
} else {
largest = secondCandidate
smallest = firstCandidate
}
j := int64(0)
for i := range timestamps {
if j == smallest {
first = i
} else if j == largest {
second = i
break
}
j++
}
break
}
begin := first
end := second
if second < first {
begin, end = second, first
}
interval := model.Interval{
OldestInclusive: time.Unix(begin, 0),
NewestInclusive: time.Unix(end, 0),
}
samples, err := p.GetRangeValues(model.NewFingerprintFromMetric(metric), interval)
if err != nil {
t.Error(err)
return
}
if len(samples.Values) < 2 {
t.Errorf("expected sample count less than %d, got %d", 2, len(samples.Values))
return
}
}
}
return true
}
if err := quick.Check(stochastic, nil); err != nil {
t.Error(err)
}
}