client_golang/prometheus/vec_test.go

536 lines
15 KiB
Go
Raw Normal View History

// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"fmt"
"testing"
dto "github.com/prometheus/client_model/go"
)
func TestDelete(t *testing.T) {
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
[]string{"l1", "l2"},
)
testDelete(t, vec)
}
func TestDeleteWithCollisions(t *testing.T) {
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
[]string{"l1", "l2"},
)
vec.hashAdd = func(h uint64, s string) uint64 { return 1 }
vec.hashAddByte = func(h uint64, b byte) uint64 { return 1 }
testDelete(t, vec)
}
func testDelete(t *testing.T, vec *GaugeVec) {
if got, want := vec.Delete(Labels{"l1": "v1", "l2": "v2"}), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
vec.With(Labels{"l1": "v1", "l2": "v2"}).(Gauge).Set(42)
if got, want := vec.Delete(Labels{"l1": "v1", "l2": "v2"}), true; got != want {
t.Errorf("got %v, want %v", got, want)
}
if got, want := vec.Delete(Labels{"l1": "v1", "l2": "v2"}), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
vec.With(Labels{"l1": "v1", "l2": "v2"}).(Gauge).Set(42)
if got, want := vec.Delete(Labels{"l2": "v2", "l1": "v1"}), true; got != want {
t.Errorf("got %v, want %v", got, want)
}
if got, want := vec.Delete(Labels{"l2": "v2", "l1": "v1"}), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
vec.With(Labels{"l1": "v1", "l2": "v2"}).(Gauge).Set(42)
if got, want := vec.Delete(Labels{"l2": "v1", "l1": "v2"}), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
if got, want := vec.Delete(Labels{"l1": "v1"}), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
}
func TestDeleteLabelValues(t *testing.T) {
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
[]string{"l1", "l2"},
)
metricvec: handle hash collision for labeled metrics While hash collisions are quite rare, the current state of the client library carries a risk of merging two separate label values into a single metric bucket. The effects are near impossible to detect and the result will be missing or incorrect counters. This changeset handles hash collisions by falling back to collision resolution if multiple label values hash to the same value. This works similar to separate chaining using a slice. Extra storage is minimized to only the value key slice to that metrics can be differentiated within a bucket. In general, the cost of handling collisions is completely minimized under normal operation. Performance does show slight increases in certain areas, but these are more likely statistically anomalies. More importantly, zero allocation behavior for metrics is preserved on the fast path. Minimal allocations may be made during collision handling but this has minimal effect. Benchmark comparisons with and without collision resolution follow. ``` benchmark old ns/op new ns/op delta BenchmarkCounterWithLabelValues-4 99.0 107 +8.08% BenchmarkCounterWithLabelValuesConcurrent-4 79.6 91.0 +14.32% BenchmarkCounterWithMappedLabels-4 518 542 +4.63% BenchmarkCounterWithPreparedMappedLabels-4 127 137 +7.87% BenchmarkCounterNoLabels-4 19.5 19.1 -2.05% BenchmarkGaugeWithLabelValues-4 97.4 110 +12.94% BenchmarkGaugeNoLabels-4 12.4 10.3 -16.94% BenchmarkSummaryWithLabelValues-4 1204 915 -24.00% BenchmarkSummaryNoLabels-4 936 847 -9.51% BenchmarkHistogramWithLabelValues-4 147 147 +0.00% BenchmarkHistogramNoLabels-4 50.6 49.3 -2.57% BenchmarkHistogramObserve1-4 37.9 37.5 -1.06% BenchmarkHistogramObserve2-4 122 137 +12.30% BenchmarkHistogramObserve4-4 310 352 +13.55% BenchmarkHistogramObserve8-4 691 729 +5.50% BenchmarkHistogramWrite1-4 3374 3097 -8.21% BenchmarkHistogramWrite2-4 5310 5051 -4.88% BenchmarkHistogramWrite4-4 12094 10690 -11.61% BenchmarkHistogramWrite8-4 19416 17755 -8.55% BenchmarkHandler-4 11934304 13765894 +15.35% BenchmarkSummaryObserve1-4 1119 1105 -1.25% BenchmarkSummaryObserve2-4 3679 3430 -6.77% BenchmarkSummaryObserve4-4 10678 7982 -25.25% BenchmarkSummaryObserve8-4 22974 16689 -27.36% BenchmarkSummaryWrite1-4 25962 14680 -43.46% BenchmarkSummaryWrite2-4 38019 35073 -7.75% BenchmarkSummaryWrite4-4 78027 56816 -27.18% BenchmarkSummaryWrite8-4 117220 132248 +12.82% BenchmarkMetricVecWithLabelValuesBasic-4 138 133 -3.62% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 150 144 -4.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 263 256 -2.66% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 145 155 +6.90% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 606 634 +4.62% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 746 641 -14.08% benchmark old allocs new allocs delta BenchmarkCounterWithLabelValues-4 0 0 +0.00% BenchmarkCounterWithLabelValuesConcurrent-4 0 0 +0.00% BenchmarkCounterWithMappedLabels-4 2 2 +0.00% BenchmarkCounterWithPreparedMappedLabels-4 0 0 +0.00% BenchmarkCounterNoLabels-4 0 0 +0.00% BenchmarkGaugeWithLabelValues-4 0 0 +0.00% BenchmarkGaugeNoLabels-4 0 0 +0.00% BenchmarkSummaryWithLabelValues-4 0 0 +0.00% BenchmarkSummaryNoLabels-4 0 0 +0.00% BenchmarkHistogramWithLabelValues-4 0 0 +0.00% BenchmarkHistogramNoLabels-4 0 0 +0.00% BenchmarkMetricVecWithLabelValuesBasic-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 0 0 +0.00% benchmark old bytes new bytes delta BenchmarkCounterWithLabelValues-4 0 0 +0.00% BenchmarkCounterWithLabelValuesConcurrent-4 0 0 +0.00% BenchmarkCounterWithMappedLabels-4 336 336 +0.00% BenchmarkCounterWithPreparedMappedLabels-4 0 0 +0.00% BenchmarkCounterNoLabels-4 0 0 +0.00% BenchmarkGaugeWithLabelValues-4 0 0 +0.00% BenchmarkGaugeNoLabels-4 0 0 +0.00% BenchmarkSummaryWithLabelValues-4 0 0 +0.00% BenchmarkSummaryNoLabels-4 0 0 +0.00% BenchmarkHistogramWithLabelValues-4 0 0 +0.00% BenchmarkHistogramNoLabels-4 0 0 +0.00% BenchmarkMetricVecWithLabelValuesBasic-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 0 0 +0.00% ``` Signed-off-by: Stephen J Day <stephen.day@docker.com>
2016-08-12 03:06:03 +03:00
testDeleteLabelValues(t, vec)
}
func TestDeleteLabelValuesWithCollisions(t *testing.T) {
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
[]string{"l1", "l2"},
)
metricvec: handle hash collision for labeled metrics While hash collisions are quite rare, the current state of the client library carries a risk of merging two separate label values into a single metric bucket. The effects are near impossible to detect and the result will be missing or incorrect counters. This changeset handles hash collisions by falling back to collision resolution if multiple label values hash to the same value. This works similar to separate chaining using a slice. Extra storage is minimized to only the value key slice to that metrics can be differentiated within a bucket. In general, the cost of handling collisions is completely minimized under normal operation. Performance does show slight increases in certain areas, but these are more likely statistically anomalies. More importantly, zero allocation behavior for metrics is preserved on the fast path. Minimal allocations may be made during collision handling but this has minimal effect. Benchmark comparisons with and without collision resolution follow. ``` benchmark old ns/op new ns/op delta BenchmarkCounterWithLabelValues-4 99.0 107 +8.08% BenchmarkCounterWithLabelValuesConcurrent-4 79.6 91.0 +14.32% BenchmarkCounterWithMappedLabels-4 518 542 +4.63% BenchmarkCounterWithPreparedMappedLabels-4 127 137 +7.87% BenchmarkCounterNoLabels-4 19.5 19.1 -2.05% BenchmarkGaugeWithLabelValues-4 97.4 110 +12.94% BenchmarkGaugeNoLabels-4 12.4 10.3 -16.94% BenchmarkSummaryWithLabelValues-4 1204 915 -24.00% BenchmarkSummaryNoLabels-4 936 847 -9.51% BenchmarkHistogramWithLabelValues-4 147 147 +0.00% BenchmarkHistogramNoLabels-4 50.6 49.3 -2.57% BenchmarkHistogramObserve1-4 37.9 37.5 -1.06% BenchmarkHistogramObserve2-4 122 137 +12.30% BenchmarkHistogramObserve4-4 310 352 +13.55% BenchmarkHistogramObserve8-4 691 729 +5.50% BenchmarkHistogramWrite1-4 3374 3097 -8.21% BenchmarkHistogramWrite2-4 5310 5051 -4.88% BenchmarkHistogramWrite4-4 12094 10690 -11.61% BenchmarkHistogramWrite8-4 19416 17755 -8.55% BenchmarkHandler-4 11934304 13765894 +15.35% BenchmarkSummaryObserve1-4 1119 1105 -1.25% BenchmarkSummaryObserve2-4 3679 3430 -6.77% BenchmarkSummaryObserve4-4 10678 7982 -25.25% BenchmarkSummaryObserve8-4 22974 16689 -27.36% BenchmarkSummaryWrite1-4 25962 14680 -43.46% BenchmarkSummaryWrite2-4 38019 35073 -7.75% BenchmarkSummaryWrite4-4 78027 56816 -27.18% BenchmarkSummaryWrite8-4 117220 132248 +12.82% BenchmarkMetricVecWithLabelValuesBasic-4 138 133 -3.62% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 150 144 -4.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 263 256 -2.66% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 145 155 +6.90% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 606 634 +4.62% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 746 641 -14.08% benchmark old allocs new allocs delta BenchmarkCounterWithLabelValues-4 0 0 +0.00% BenchmarkCounterWithLabelValuesConcurrent-4 0 0 +0.00% BenchmarkCounterWithMappedLabels-4 2 2 +0.00% BenchmarkCounterWithPreparedMappedLabels-4 0 0 +0.00% BenchmarkCounterNoLabels-4 0 0 +0.00% BenchmarkGaugeWithLabelValues-4 0 0 +0.00% BenchmarkGaugeNoLabels-4 0 0 +0.00% BenchmarkSummaryWithLabelValues-4 0 0 +0.00% BenchmarkSummaryNoLabels-4 0 0 +0.00% BenchmarkHistogramWithLabelValues-4 0 0 +0.00% BenchmarkHistogramNoLabels-4 0 0 +0.00% BenchmarkMetricVecWithLabelValuesBasic-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 0 0 +0.00% benchmark old bytes new bytes delta BenchmarkCounterWithLabelValues-4 0 0 +0.00% BenchmarkCounterWithLabelValuesConcurrent-4 0 0 +0.00% BenchmarkCounterWithMappedLabels-4 336 336 +0.00% BenchmarkCounterWithPreparedMappedLabels-4 0 0 +0.00% BenchmarkCounterNoLabels-4 0 0 +0.00% BenchmarkGaugeWithLabelValues-4 0 0 +0.00% BenchmarkGaugeNoLabels-4 0 0 +0.00% BenchmarkSummaryWithLabelValues-4 0 0 +0.00% BenchmarkSummaryNoLabels-4 0 0 +0.00% BenchmarkHistogramWithLabelValues-4 0 0 +0.00% BenchmarkHistogramNoLabels-4 0 0 +0.00% BenchmarkMetricVecWithLabelValuesBasic-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 0 0 +0.00% ``` Signed-off-by: Stephen J Day <stephen.day@docker.com>
2016-08-12 03:06:03 +03:00
vec.hashAdd = func(h uint64, s string) uint64 { return 1 }
vec.hashAddByte = func(h uint64, b byte) uint64 { return 1 }
metricvec: handle hash collision for labeled metrics While hash collisions are quite rare, the current state of the client library carries a risk of merging two separate label values into a single metric bucket. The effects are near impossible to detect and the result will be missing or incorrect counters. This changeset handles hash collisions by falling back to collision resolution if multiple label values hash to the same value. This works similar to separate chaining using a slice. Extra storage is minimized to only the value key slice to that metrics can be differentiated within a bucket. In general, the cost of handling collisions is completely minimized under normal operation. Performance does show slight increases in certain areas, but these are more likely statistically anomalies. More importantly, zero allocation behavior for metrics is preserved on the fast path. Minimal allocations may be made during collision handling but this has minimal effect. Benchmark comparisons with and without collision resolution follow. ``` benchmark old ns/op new ns/op delta BenchmarkCounterWithLabelValues-4 99.0 107 +8.08% BenchmarkCounterWithLabelValuesConcurrent-4 79.6 91.0 +14.32% BenchmarkCounterWithMappedLabels-4 518 542 +4.63% BenchmarkCounterWithPreparedMappedLabels-4 127 137 +7.87% BenchmarkCounterNoLabels-4 19.5 19.1 -2.05% BenchmarkGaugeWithLabelValues-4 97.4 110 +12.94% BenchmarkGaugeNoLabels-4 12.4 10.3 -16.94% BenchmarkSummaryWithLabelValues-4 1204 915 -24.00% BenchmarkSummaryNoLabels-4 936 847 -9.51% BenchmarkHistogramWithLabelValues-4 147 147 +0.00% BenchmarkHistogramNoLabels-4 50.6 49.3 -2.57% BenchmarkHistogramObserve1-4 37.9 37.5 -1.06% BenchmarkHistogramObserve2-4 122 137 +12.30% BenchmarkHistogramObserve4-4 310 352 +13.55% BenchmarkHistogramObserve8-4 691 729 +5.50% BenchmarkHistogramWrite1-4 3374 3097 -8.21% BenchmarkHistogramWrite2-4 5310 5051 -4.88% BenchmarkHistogramWrite4-4 12094 10690 -11.61% BenchmarkHistogramWrite8-4 19416 17755 -8.55% BenchmarkHandler-4 11934304 13765894 +15.35% BenchmarkSummaryObserve1-4 1119 1105 -1.25% BenchmarkSummaryObserve2-4 3679 3430 -6.77% BenchmarkSummaryObserve4-4 10678 7982 -25.25% BenchmarkSummaryObserve8-4 22974 16689 -27.36% BenchmarkSummaryWrite1-4 25962 14680 -43.46% BenchmarkSummaryWrite2-4 38019 35073 -7.75% BenchmarkSummaryWrite4-4 78027 56816 -27.18% BenchmarkSummaryWrite8-4 117220 132248 +12.82% BenchmarkMetricVecWithLabelValuesBasic-4 138 133 -3.62% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 150 144 -4.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 263 256 -2.66% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 145 155 +6.90% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 606 634 +4.62% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 746 641 -14.08% benchmark old allocs new allocs delta BenchmarkCounterWithLabelValues-4 0 0 +0.00% BenchmarkCounterWithLabelValuesConcurrent-4 0 0 +0.00% BenchmarkCounterWithMappedLabels-4 2 2 +0.00% BenchmarkCounterWithPreparedMappedLabels-4 0 0 +0.00% BenchmarkCounterNoLabels-4 0 0 +0.00% BenchmarkGaugeWithLabelValues-4 0 0 +0.00% BenchmarkGaugeNoLabels-4 0 0 +0.00% BenchmarkSummaryWithLabelValues-4 0 0 +0.00% BenchmarkSummaryNoLabels-4 0 0 +0.00% BenchmarkHistogramWithLabelValues-4 0 0 +0.00% BenchmarkHistogramNoLabels-4 0 0 +0.00% BenchmarkMetricVecWithLabelValuesBasic-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 0 0 +0.00% benchmark old bytes new bytes delta BenchmarkCounterWithLabelValues-4 0 0 +0.00% BenchmarkCounterWithLabelValuesConcurrent-4 0 0 +0.00% BenchmarkCounterWithMappedLabels-4 336 336 +0.00% BenchmarkCounterWithPreparedMappedLabels-4 0 0 +0.00% BenchmarkCounterNoLabels-4 0 0 +0.00% BenchmarkGaugeWithLabelValues-4 0 0 +0.00% BenchmarkGaugeNoLabels-4 0 0 +0.00% BenchmarkSummaryWithLabelValues-4 0 0 +0.00% BenchmarkSummaryNoLabels-4 0 0 +0.00% BenchmarkHistogramWithLabelValues-4 0 0 +0.00% BenchmarkHistogramNoLabels-4 0 0 +0.00% BenchmarkMetricVecWithLabelValuesBasic-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality-4 0 0 +0.00% BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality-4 0 0 +0.00% ``` Signed-off-by: Stephen J Day <stephen.day@docker.com>
2016-08-12 03:06:03 +03:00
testDeleteLabelValues(t, vec)
}
func testDeleteLabelValues(t *testing.T, vec *GaugeVec) {
if got, want := vec.DeleteLabelValues("v1", "v2"), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
vec.With(Labels{"l1": "v1", "l2": "v2"}).(Gauge).Set(42)
vec.With(Labels{"l1": "v1", "l2": "v3"}).(Gauge).Set(42) // Add junk data for collision.
if got, want := vec.DeleteLabelValues("v1", "v2"), true; got != want {
t.Errorf("got %v, want %v", got, want)
}
if got, want := vec.DeleteLabelValues("v1", "v2"), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
if got, want := vec.DeleteLabelValues("v1", "v3"), true; got != want {
t.Errorf("got %v, want %v", got, want)
}
vec.With(Labels{"l1": "v1", "l2": "v2"}).(Gauge).Set(42)
// Delete out of order.
if got, want := vec.DeleteLabelValues("v2", "v1"), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
if got, want := vec.DeleteLabelValues("v1"), false; got != want {
t.Errorf("got %v, want %v", got, want)
}
}
func TestMetricVec(t *testing.T) {
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
[]string{"l1", "l2"},
)
testMetricVec(t, vec)
}
func TestMetricVecWithCollisions(t *testing.T) {
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
[]string{"l1", "l2"},
)
vec.hashAdd = func(h uint64, s string) uint64 { return 1 }
vec.hashAddByte = func(h uint64, b byte) uint64 { return 1 }
testMetricVec(t, vec)
}
func testMetricVec(t *testing.T, vec *GaugeVec) {
vec.Reset() // Actually test Reset now!
var pair [2]string
// Keep track of metrics.
expected := map[[2]string]int{}
for i := 0; i < 1000; i++ {
pair[0], pair[1] = fmt.Sprint(i%4), fmt.Sprint(i%5) // Varying combinations multiples.
expected[pair]++
vec.WithLabelValues(pair[0], pair[1]).Inc()
expected[[2]string{"v1", "v2"}]++
vec.WithLabelValues("v1", "v2").(Gauge).Inc()
}
var total int
for _, metrics := range vec.metricMap.metrics {
for _, metric := range metrics {
total++
copy(pair[:], metric.values)
var metricOut dto.Metric
if err := metric.metric.Write(&metricOut); err != nil {
t.Fatal(err)
}
actual := *metricOut.Gauge.Value
var actualPair [2]string
for i, label := range metricOut.Label {
actualPair[i] = *label.Value
}
// Test output pair against metric.values to ensure we've selected
// the right one. We check this to ensure the below check means
// anything at all.
if actualPair != pair {
t.Fatalf("unexpected pair association in metric map: %v != %v", actualPair, pair)
}
if actual != float64(expected[pair]) {
t.Fatalf("incorrect counter value for %v: %v != %v", pair, actual, expected[pair])
}
}
}
if total != len(expected) {
t.Fatalf("unexpected number of metrics: %v != %v", total, len(expected))
}
vec.Reset()
if len(vec.metricMap.metrics) > 0 {
t.Fatalf("reset failed")
}
}
func TestCounterVecEndToEndWithCollision(t *testing.T) {
vec := NewCounterVec(
CounterOpts{
Name: "test",
Help: "helpless",
},
[]string{"labelname"},
)
vec.WithLabelValues("77kepQFQ8Kl").Inc()
vec.WithLabelValues("!0IC=VloaY").Add(2)
m := &dto.Metric{}
if err := vec.WithLabelValues("77kepQFQ8Kl").Write(m); err != nil {
t.Fatal(err)
}
if got, want := m.GetLabel()[0].GetValue(), "77kepQFQ8Kl"; got != want {
t.Errorf("got label value %q, want %q", got, want)
}
if got, want := m.GetCounter().GetValue(), 1.; got != want {
t.Errorf("got value %f, want %f", got, want)
}
m.Reset()
if err := vec.WithLabelValues("!0IC=VloaY").Write(m); err != nil {
t.Fatal(err)
}
if got, want := m.GetLabel()[0].GetValue(), "!0IC=VloaY"; got != want {
t.Errorf("got label value %q, want %q", got, want)
}
if got, want := m.GetCounter().GetValue(), 2.; got != want {
t.Errorf("got value %f, want %f", got, want)
}
}
func TestCurryVec(t *testing.T) {
vec := NewCounterVec(
CounterOpts{
Name: "test",
Help: "helpless",
},
[]string{"one", "two", "three"},
)
testCurryVec(t, vec)
}
func TestCurryVecWithCollisions(t *testing.T) {
vec := NewCounterVec(
CounterOpts{
Name: "test",
Help: "helpless",
},
[]string{"one", "two", "three"},
)
vec.hashAdd = func(h uint64, s string) uint64 { return 1 }
vec.hashAddByte = func(h uint64, b byte) uint64 { return 1 }
testCurryVec(t, vec)
}
func testCurryVec(t *testing.T, vec *CounterVec) {
assertMetrics := func(t *testing.T) {
n := 0
for _, m := range vec.metricMap.metrics {
n += len(m)
}
if n != 2 {
t.Error("expected two metrics, got", n)
}
m := &dto.Metric{}
c1, err := vec.GetMetricWithLabelValues("1", "2", "3")
if err != nil {
t.Fatal("unexpected error getting metric:", err)
}
c1.Write(m)
if want, got := 1., m.GetCounter().GetValue(); want != got {
t.Errorf("want %f as counter value, got %f", want, got)
}
m.Reset()
c2, err := vec.GetMetricWithLabelValues("11", "22", "33")
if err != nil {
t.Fatal("unexpected error getting metric:", err)
}
c2.Write(m)
if want, got := 1., m.GetCounter().GetValue(); want != got {
t.Errorf("want %f as counter value, got %f", want, got)
}
}
assertNoMetric := func(t *testing.T) {
if n := len(vec.metricMap.metrics); n != 0 {
t.Error("expected no metrics, got", n)
}
}
t.Run("zero labels", func(t *testing.T) {
c1 := vec.MustCurryWith(nil)
c2 := vec.MustCurryWith(nil)
c1.WithLabelValues("1", "2", "3").Inc()
c2.With(Labels{"one": "11", "two": "22", "three": "33"}).Inc()
assertMetrics(t)
if !c1.Delete(Labels{"one": "1", "two": "2", "three": "3"}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues("11", "22", "33") {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("first label", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"one": "1"})
c2 := vec.MustCurryWith(Labels{"one": "11"})
c1.WithLabelValues("2", "3").Inc()
c2.With(Labels{"two": "22", "three": "33"}).Inc()
assertMetrics(t)
if c1.Delete(Labels{"two": "22", "three": "33"}) {
t.Error("deletion unexpectedly succeeded")
}
if c2.DeleteLabelValues("2", "3") {
t.Error("deletion unexpectedly succeeded")
}
if !c1.Delete(Labels{"two": "2", "three": "3"}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues("22", "33") {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("middle label", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"two": "2"})
c2 := vec.MustCurryWith(Labels{"two": "22"})
c1.WithLabelValues("1", "3").Inc()
c2.With(Labels{"one": "11", "three": "33"}).Inc()
assertMetrics(t)
if c1.Delete(Labels{"one": "11", "three": "33"}) {
t.Error("deletion unexpectedly succeeded")
}
if c2.DeleteLabelValues("1", "3") {
t.Error("deletion unexpectedly succeeded")
}
if !c1.Delete(Labels{"one": "1", "three": "3"}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues("11", "33") {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("last label", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"three": "3"})
c2 := vec.MustCurryWith(Labels{"three": "33"})
c1.WithLabelValues("1", "2").Inc()
c2.With(Labels{"one": "11", "two": "22"}).Inc()
assertMetrics(t)
if c1.Delete(Labels{"two": "22", "one": "11"}) {
t.Error("deletion unexpectedly succeeded")
}
if c2.DeleteLabelValues("1", "2") {
t.Error("deletion unexpectedly succeeded")
}
if !c1.Delete(Labels{"two": "2", "one": "1"}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues("11", "22") {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("two labels", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"three": "3", "one": "1"})
c2 := vec.MustCurryWith(Labels{"three": "33", "one": "11"})
c1.WithLabelValues("2").Inc()
c2.With(Labels{"two": "22"}).Inc()
assertMetrics(t)
if c1.Delete(Labels{"two": "22"}) {
t.Error("deletion unexpectedly succeeded")
}
if c2.DeleteLabelValues("2") {
t.Error("deletion unexpectedly succeeded")
}
if !c1.Delete(Labels{"two": "2"}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues("22") {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("all labels", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"three": "3", "two": "2", "one": "1"})
c2 := vec.MustCurryWith(Labels{"three": "33", "one": "11", "two": "22"})
c1.WithLabelValues().Inc()
c2.With(nil).Inc()
assertMetrics(t)
if !c1.Delete(Labels{}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues() {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("double curry", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"three": "3"}).MustCurryWith(Labels{"one": "1"})
c2 := vec.MustCurryWith(Labels{"three": "33"}).MustCurryWith(Labels{"one": "11"})
c1.WithLabelValues("2").Inc()
c2.With(Labels{"two": "22"}).Inc()
assertMetrics(t)
if c1.Delete(Labels{"two": "22"}) {
t.Error("deletion unexpectedly succeeded")
}
if c2.DeleteLabelValues("2") {
t.Error("deletion unexpectedly succeeded")
}
if !c1.Delete(Labels{"two": "2"}) {
t.Error("deletion failed")
}
if !c2.DeleteLabelValues("22") {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("use already curried label", func(t *testing.T) {
c1 := vec.MustCurryWith(Labels{"three": "3"})
if _, err := c1.GetMetricWithLabelValues("1", "2", "3"); err == nil {
t.Error("expected error when using already curried label")
}
if _, err := c1.GetMetricWith(Labels{"one": "1", "two": "2", "three": "3"}); err == nil {
t.Error("expected error when using already curried label")
}
assertNoMetric(t)
c1.WithLabelValues("1", "2").Inc()
if c1.Delete(Labels{"one": "1", "two": "2", "three": "3"}) {
t.Error("deletion unexpectedly succeeded")
}
if !c1.Delete(Labels{"one": "1", "two": "2"}) {
t.Error("deletion failed")
}
assertNoMetric(t)
})
t.Run("curry already curried label", func(t *testing.T) {
if _, err := vec.MustCurryWith(Labels{"three": "3"}).CurryWith(Labels{"three": "33"}); err == nil {
t.Error("currying unexpectedly succeeded")
} else if err.Error() != `label name "three" is already curried` {
t.Error("currying returned unexpected error:", err)
}
})
t.Run("unknown label", func(t *testing.T) {
if _, err := vec.CurryWith(Labels{"foo": "bar"}); err == nil {
t.Error("currying unexpectedly succeeded")
} else if err.Error() != "1 unknown label(s) found during currying" {
t.Error("currying returned unexpected error:", err)
}
})
}
func BenchmarkMetricVecWithLabelValuesBasic(b *testing.B) {
benchmarkMetricVecWithLabelValues(b, map[string][]string{
"l1": {"onevalue"},
"l2": {"twovalue"},
})
}
func BenchmarkMetricVecWithLabelValues2Keys10ValueCardinality(b *testing.B) {
benchmarkMetricVecWithLabelValuesCardinality(b, 2, 10)
}
func BenchmarkMetricVecWithLabelValues4Keys10ValueCardinality(b *testing.B) {
benchmarkMetricVecWithLabelValuesCardinality(b, 4, 10)
}
func BenchmarkMetricVecWithLabelValues2Keys100ValueCardinality(b *testing.B) {
benchmarkMetricVecWithLabelValuesCardinality(b, 2, 100)
}
func BenchmarkMetricVecWithLabelValues10Keys100ValueCardinality(b *testing.B) {
benchmarkMetricVecWithLabelValuesCardinality(b, 10, 100)
}
func BenchmarkMetricVecWithLabelValues10Keys1000ValueCardinality(b *testing.B) {
benchmarkMetricVecWithLabelValuesCardinality(b, 10, 1000)
}
func benchmarkMetricVecWithLabelValuesCardinality(b *testing.B, nkeys, nvalues int) {
labels := map[string][]string{}
for i := 0; i < nkeys; i++ {
var (
k = fmt.Sprintf("key-%v", i)
vs = make([]string, 0, nvalues)
)
for j := 0; j < nvalues; j++ {
vs = append(vs, fmt.Sprintf("value-%v", j))
}
labels[k] = vs
}
benchmarkMetricVecWithLabelValues(b, labels)
}
func benchmarkMetricVecWithLabelValues(b *testing.B, labels map[string][]string) {
var keys []string
for k := range labels { // Map order dependent, who cares though.
keys = append(keys, k)
}
values := make([]string, len(labels)) // Value cache for permutations.
vec := NewGaugeVec(
GaugeOpts{
Name: "test",
Help: "helpless",
},
keys,
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
// Varies input across provide map entries based on key size.
for j, k := range keys {
candidates := labels[k]
values[j] = candidates[i%len(candidates)]
}
vec.WithLabelValues(values...)
}
}