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Merge pull request #43 from prometheus/remove-extraction-result-type 

Remove extraction result type, simplify code.
This commit is contained in:
juliusv 2015-01-08 17:51:51 +01:00
parent d1beff1523 0bb9a56250
commit d7f000b100
9 changed files with 283 additions and 343 deletions
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8
extraction/metricfamilyprocessor.go
View File

@ -101,7 +101,7 @@ func extractCounter(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error
sample.Value = model.SampleValue(m.Counter.GetValue())
}
return out.Ingest(&Result{Samples: samples})
return out.Ingest(samples)
}
func extractGauge(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error {
@ -132,7 +132,7 @@ func extractGauge(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error {
sample.Value = model.SampleValue(m.Gauge.GetValue())
}
return out.Ingest(&Result{Samples: samples})
return out.Ingest(samples)
}
func extractSummary(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error {
@ -194,7 +194,7 @@ func extractSummary(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error
}
}
return out.Ingest(&Result{Samples: samples})
return out.Ingest(samples)
}
func extractUntyped(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error {
@ -225,5 +225,5 @@ func extractUntyped(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error
sample.Value = model.SampleValue(m.Untyped.GetValue())
}
return out.Ingest(&Result{Samples: samples})
return out.Ingest(samples)
}

70
extraction/metricfamilyprocessor_test.go
View File

@ -25,11 +25,11 @@ var testTime = model.Now()
type metricFamilyProcessorScenario struct {
in string
expected, actual []*Result
expected, actual []model.Samples
}
func (s *metricFamilyProcessorScenario) Ingest(r *Result) error {
s.actual = append(s.actual, r)
func (s *metricFamilyProcessorScenario) Ingest(samples model.Samples) error {
s.actual = append(s.actual, samples)
return nil
}
@ -50,10 +50,10 @@ func (s *metricFamilyProcessorScenario) test(t *testing.T, set int) {
}
for i, expected := range s.expected {
sort.Sort(s.actual[i].Samples)
sort.Sort(expected.Samples)
sort.Sort(s.actual[i])
sort.Sort(expected)
if !expected.equal(s.actual[i]) {
if !expected.Equal(s.actual[i]) {
t.Errorf("%d.%d. expected %s, got %s", set, i, expected, s.actual[i])
}
}
@ -66,43 +66,39 @@ func TestMetricFamilyProcessor(t *testing.T) {
},
{
in: "\x8f\x01\n\rrequest_count\x12\x12Number of requests\x18\x00\"0\n#\n\x0fsome_label_name\x12\x10some_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00E\xc0\"6\n)\n\x12another_label_name\x12\x13another_label_value\x1a\t\t\x00\x00\x00\x00\x00\x00U@",
expected: []*Result{
{
Samples: model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value"},
Value: -42,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "another_label_name": "another_label_value"},
Value: 84,
Timestamp: testTime,
},
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value"},
Value: -42,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "another_label_name": "another_label_value"},
Value: 84,
Timestamp: testTime,
},
},
},
},
{
in: "\xb9\x01\n\rrequest_count\x12\x12Number of requests\x18\x02\"O\n#\n\x0fsome_label_name\x12\x10some_label_value\"(\x1a\x12\t\xaeG\xe1z\x14\xae\xef?\x11\x00\x00\x00\x00\x00\x00E\xc0\x1a\x12\t+\x87\x16\xd9\xce\xf7\xef?\x11\x00\x00\x00\x00\x00\x00U\xc0\"A\n)\n\x12another_label_name\x12\x13another_label_value\"\x14\x1a\x12\t\x00\x00\x00\x00\x00\x00\xe0?\x11\x00\x00\x00\x00\x00\x00$@",
expected: []*Result{
{
Samples: model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value", "quantile": "0.99"},
Value: -42,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value", "quantile": "0.999"},
Value: -84,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "another_label_name": "another_label_value", "quantile": "0.5"},
Value: 10,
Timestamp: testTime,
},
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value", "quantile": "0.99"},
Value: -42,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "some_label_name": "some_label_value", "quantile": "0.999"},
Value: -84,
Timestamp: testTime,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "request_count", "another_label_name": "another_label_value", "quantile": "0.5"},
Value: 10,
Timestamp: testTime,
},
},
},

38
extraction/processor.go
View File

@ -30,7 +30,7 @@ type ProcessOptions struct {
// Ingester consumes result streams in whatever way is desired by the user.
type Ingester interface {
Ingest(*Result) error
Ingest(model.Samples) error
}
// Processor is responsible for decoding the actual message responses from
@ -56,42 +56,6 @@ func labelSet(labels map[string]string) model.LabelSet {
return labelset
}
// Result encapsulates the outcome from processing samples from a source.
type Result struct {
Err error
Samples model.Samples
}
func (r *Result) equal(o *Result) bool {
if r == o {
return true
}
if r.Err != o.Err {
if r.Err == nil || o.Err == nil {
return false
}
if r.Err.Error() != o.Err.Error() {
return false
}
}
if len(r.Samples) != len(o.Samples) {
return false
}
for i, mine := range r.Samples {
other := o.Samples[i]
if !mine.Equal(other) {
return false
}
}
return true
}
// A basic interface only useful in testing contexts for dispensing the time
// in a controlled manner.
type instantProvider interface {

20
extraction/processor0_0_1.go
View File

@ -77,11 +77,7 @@ func (p *processor001) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptio
case gauge001, counter001:
sampleValue, ok := value.Value.(float64)
if !ok {
err = fmt.Errorf("could not convert value from %s %s to float64", entity, value)
if err := out.Ingest(&Result{Err: err}); err != nil {
return err
}
continue
return fmt.Errorf("could not convert value from %s %s to float64", entity, value)
}
pendingSamples = append(pendingSamples, &model.Sample{
@ -95,21 +91,13 @@ func (p *processor001) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptio
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)
if err := out.Ingest(&Result{Err: err}); err != nil {
return err
}
continue
return fmt.Errorf("could not convert value from %q to a map[string]interface{}", value.Value)
}
for percentile, percentileValue := range sampleValue {
individualValue, ok := percentileValue.(float64)
if !ok {
err = fmt.Errorf("could not convert value from %q to a float64", percentileValue)
if err := out.Ingest(&Result{Err: err}); err != nil {
return err
}
continue
return fmt.Errorf("could not convert value from %q to a float64", percentileValue)
}
childMetric := make(map[model.LabelName]model.LabelValue, len(labels)+1)
@ -132,7 +120,7 @@ func (p *processor001) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptio
}
}
if len(pendingSamples) > 0 {
return out.Ingest(&Result{Samples: pendingSamples})
return out.Ingest(pendingSamples)
}
return nil

198
extraction/processor0_0_1_test.go
View File

@ -29,12 +29,12 @@ var test001Time = model.Now()
type testProcessor001ProcessScenario struct {
in string
expected, actual []*Result
expected, actual []model.Samples
err error
}
func (s *testProcessor001ProcessScenario) Ingest(r *Result) error {
s.actual = append(s.actual, r)
func (s *testProcessor001ProcessScenario) Ingest(samples model.Samples) error {
s.actual = append(s.actual, samples)
return nil
}
@ -56,10 +56,10 @@ func (s *testProcessor001ProcessScenario) test(t testing.TB, set int) {
}
for i, expected := range s.expected {
sort.Sort(s.actual[i].Samples)
sort.Sort(expected.Samples)
sort.Sort(s.actual[i])
sort.Sort(expected)
if !expected.equal(s.actual[i]) {
if !expected.Equal(s.actual[i]) {
t.Errorf("%d.%d. expected %s, got %s", set, i, expected, s.actual[i])
}
}
@ -73,101 +73,97 @@ func testProcessor001Process(t testing.TB) {
},
{
in: "test0_0_1-0_0_2.json",
expected: []*Result{
{
Samples: model.Samples{
&model.Sample{
Metric: model.Metric{"service": "zed", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"service": "bar", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"service": "foo", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.6120456642749681,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 97.31798360385088,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 84.63044031436561,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.355915069887731,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.89202084295582,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 160.21100853053224,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.772733213161236,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.99626121011262,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 172.49828748957728,
Timestamp: test001Time,
},
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{"service": "zed", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"service": "bar", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"service": "foo", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.6120456642749681,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 97.31798360385088,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 84.63044031436561,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.355915069887731,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.89202084295582,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 160.21100853053224,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.772733213161236,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.99626121011262,
Timestamp: test001Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 172.49828748957728,
Timestamp: test001Time,
},
},
},

19
extraction/processor0_0_2.go
View File

@ -60,11 +60,7 @@ func (p *processor002) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptio
var values []counter002
if err := json.Unmarshal(entity.Metric.Values, &values); err != nil {
err := fmt.Errorf("could not extract %s value: %s", entity.Metric.Type, err)
if err := out.Ingest(&Result{Err: err}); err != nil {
return err
}
continue
return fmt.Errorf("could not extract %s value: %s", entity.Metric.Type, err)
}
for _, counter := range values {
@ -81,11 +77,7 @@ func (p *processor002) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptio
var values []histogram002
if err := json.Unmarshal(entity.Metric.Values, &values); err != nil {
err := fmt.Errorf("could not extract %s value: %s", entity.Metric.Type, err)
if err := out.Ingest(&Result{Err: err}); err != nil {
return err
}
continue
return fmt.Errorf("could not extract %s value: %s", entity.Metric.Type, err)
}
for _, histogram := range values {
@ -102,15 +94,12 @@ func (p *processor002) ProcessSingle(in io.Reader, out Ingester, o *ProcessOptio
}
default:
err := fmt.Errorf("unknown metric type %q", entity.Metric.Type)
if err := out.Ingest(&Result{Err: err}); err != nil {
return err
}
return fmt.Errorf("unknown metric type %q", entity.Metric.Type)
}
}
if len(pendingSamples) > 0 {
return out.Ingest(&Result{Samples: pendingSamples})
return out.Ingest(pendingSamples)
}
return nil

197
extraction/processor0_0_2_test.go
View File

@ -30,12 +30,12 @@ var test002Time = model.Now()
type testProcessor002ProcessScenario struct {
in string
expected, actual []*Result
expected, actual []model.Samples
err error
}
func (s *testProcessor002ProcessScenario) Ingest(r *Result) error {
s.actual = append(s.actual, r)
func (s *testProcessor002ProcessScenario) Ingest(samples model.Samples) error {
s.actual = append(s.actual, samples)
return nil
}
@ -57,10 +57,10 @@ func (s *testProcessor002ProcessScenario) test(t testing.TB, set int) {
}
for i, expected := range s.expected {
sort.Sort(s.actual[i].Samples)
sort.Sort(expected.Samples)
sort.Sort(s.actual[i])
sort.Sort(expected)
if !expected.equal(s.actual[i]) {
if !expected.Equal(s.actual[i]) {
t.Fatalf("%d.%d. expected %s, got %s", set, i, expected, s.actual[i])
}
}
@ -74,101 +74,98 @@ func testProcessor002Process(t testing.TB) {
},
{
in: "test0_0_1-0_0_2.json",
expected: []*Result{
{
Samples: model.Samples{
&model.Sample{
Metric: model.Metric{"service": "zed", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"service": "bar", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"service": "foo", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test002Time,
},
&model.Sample{
expected: []model.Samples{
model.Samples{
&model.Sample{
Metric: model.Metric{"service": "zed", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"service": "bar", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"service": "foo", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job"},
Value: 25,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.6120456642749681,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 97.31798360385088,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 84.63044031436561,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.355915069887731,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.89202084295582,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 160.21100853053224,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.772733213161236,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.99626121011262,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 172.49828748957728,
Timestamp: test002Time,
},
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.0459814091918713,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 78.48563317257356,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 15.890724674774395,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 0.6120456642749681,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 97.31798360385088,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 84.63044031436561,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.355915069887731,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.89202084295582,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 160.21100853053224,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed"},
Value: 1.772733213161236,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar"},
Value: 109.99626121011262,
Timestamp: test002Time,
},
&model.Sample{
Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo"},
Value: 172.49828748957728,
Timestamp: test002Time,
},
},
},

62
extraction/textprocessor_test.go
View File

@ -32,44 +32,40 @@ mf1{label="value1"} -3.14 123456
mf1{label="value2"} 42
mf2 4
`
out = map[model.LabelValue]*Result{
"mf1": {
Samples: model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf1", "label": "value1"},
Value: -3.14,
Timestamp: 123456,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf1", "label": "value2"},
Value: 42,
Timestamp: ts,
},
out = map[model.LabelValue]model.Samples{
"mf1": model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf1", "label": "value1"},
Value: -3.14,
Timestamp: 123456,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf1", "label": "value2"},
Value: 42,
Timestamp: ts,
},
},
"mf2": {
Samples: model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf2"},
Value: 3,
Timestamp: ts,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf2"},
Value: 4,
Timestamp: ts,
},
"mf2": model.Samples{
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf2"},
Value: 3,
Timestamp: ts,
},
&model.Sample{
Metric: model.Metric{model.MetricNameLabel: "mf2"},
Value: 4,
Timestamp: ts,
},
},
}
)
type testIngester struct {
results []*Result
results []model.Samples
}
func (i *testIngester) Ingest(r *Result) error {
i.results = append(i.results, r)
func (i *testIngester) Ingest(s model.Samples) error {
i.results = append(i.results, s)
return nil
}
@ -88,16 +84,16 @@ func TestTextProcessor(t *testing.T) {
t.Fatalf("Expected length %d, got %d", expected, got)
}
for _, r := range ingester.results {
expected, ok := out[r.Samples[0].Metric[model.MetricNameLabel]]
expected, ok := out[r[0].Metric[model.MetricNameLabel]]
if !ok {
t.Fatalf(
"Unexpected metric name %q",
r.Samples[0].Metric[model.MetricNameLabel],
r[0].Metric[model.MetricNameLabel],
)
}
sort.Sort(expected.Samples)
sort.Sort(r.Samples)
if !expected.equal(r) {
sort.Sort(expected)
sort.Sort(r)
if !expected.Equal(r) {
t.Errorf("expected %s, got %s", expected, r)
}
}

14
model/sample.go
View File

@ -63,3 +63,17 @@ func (s Samples) Less(i, j int) bool {
func (s Samples) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
// Equal compares two sets of samples and returns true if they are equal.
func (s Samples) Equal(o Samples) bool {
if len(s) != len(o) {
return false
}
for i, sample := range s {
if !sample.Equal(o[i]) {
return false
}
}
return true
}