telegraf/plugins/aggregators/basicstats/basicstats_test.go

533 lines
12 KiB
Go

package basicstats
import (
"math"
"testing"
"time"
"github.com/influxdata/telegraf/metric"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/assert"
)
var m1, _ = metric.New("m1",
map[string]string{"foo": "bar"},
map[string]interface{}{
"a": int64(1),
"b": int64(1),
"c": float64(2),
"d": float64(2),
},
time.Now(),
)
var m2, _ = metric.New("m1",
map[string]string{"foo": "bar"},
map[string]interface{}{
"a": int64(1),
"b": int64(3),
"c": float64(4),
"d": float64(6),
"e": float64(200),
"f": uint64(200),
"ignoreme": "string",
"andme": true,
},
time.Now(),
)
func BenchmarkApply(b *testing.B) {
minmax := NewBasicStats()
for n := 0; n < b.N; n++ {
minmax.Add(m1)
minmax.Add(m2)
}
}
// Test two metrics getting added.
func TestBasicStatsWithPeriod(t *testing.T) {
acc := testutil.Accumulator{}
minmax := NewBasicStats()
minmax.Add(m1)
minmax.Add(m2)
minmax.Push(&acc)
expectedFields := map[string]interface{}{
"a_count": float64(2), //a
"a_max": float64(1),
"a_min": float64(1),
"a_mean": float64(1),
"a_stdev": float64(0),
"a_s2": float64(0),
"b_count": float64(2), //b
"b_max": float64(3),
"b_min": float64(1),
"b_mean": float64(2),
"b_s2": float64(2),
"b_stdev": math.Sqrt(2),
"c_count": float64(2), //c
"c_max": float64(4),
"c_min": float64(2),
"c_mean": float64(3),
"c_s2": float64(2),
"c_stdev": math.Sqrt(2),
"d_count": float64(2), //d
"d_max": float64(6),
"d_min": float64(2),
"d_mean": float64(4),
"d_s2": float64(8),
"d_stdev": math.Sqrt(8),
"e_count": float64(1), //e
"e_max": float64(200),
"e_min": float64(200),
"e_mean": float64(200),
"f_count": float64(1), //f
"f_max": float64(200),
"f_min": float64(200),
"f_mean": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test two metrics getting added with a push/reset in between (simulates
// getting added in different periods.)
func TestBasicStatsDifferentPeriods(t *testing.T) {
acc := testutil.Accumulator{}
minmax := NewBasicStats()
minmax.Add(m1)
minmax.Push(&acc)
expectedFields := map[string]interface{}{
"a_count": float64(1), //a
"a_max": float64(1),
"a_min": float64(1),
"a_mean": float64(1),
"b_count": float64(1), //b
"b_max": float64(1),
"b_min": float64(1),
"b_mean": float64(1),
"c_count": float64(1), //c
"c_max": float64(2),
"c_min": float64(2),
"c_mean": float64(2),
"d_count": float64(1), //d
"d_max": float64(2),
"d_min": float64(2),
"d_mean": float64(2),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
acc.ClearMetrics()
minmax.Reset()
minmax.Add(m2)
minmax.Push(&acc)
expectedFields = map[string]interface{}{
"a_count": float64(1), //a
"a_max": float64(1),
"a_min": float64(1),
"a_mean": float64(1),
"b_count": float64(1), //b
"b_max": float64(3),
"b_min": float64(3),
"b_mean": float64(3),
"c_count": float64(1), //c
"c_max": float64(4),
"c_min": float64(4),
"c_mean": float64(4),
"d_count": float64(1), //d
"d_max": float64(6),
"d_min": float64(6),
"d_mean": float64(6),
"e_count": float64(1), //e
"e_max": float64(200),
"e_min": float64(200),
"e_mean": float64(200),
"f_count": float64(1), //f
"f_max": float64(200),
"f_min": float64(200),
"f_mean": float64(200),
}
expectedTags = map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating count
func TestBasicStatsWithOnlyCount(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"count"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_count": float64(2),
"b_count": float64(2),
"c_count": float64(2),
"d_count": float64(2),
"e_count": float64(1),
"f_count": float64(1),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating minimum
func TestBasicStatsWithOnlyMin(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"min"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_min": float64(1),
"b_min": float64(1),
"c_min": float64(2),
"d_min": float64(2),
"e_min": float64(200),
"f_min": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating maximum
func TestBasicStatsWithOnlyMax(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"max"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_max": float64(1),
"b_max": float64(3),
"c_max": float64(4),
"d_max": float64(6),
"e_max": float64(200),
"f_max": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating mean
func TestBasicStatsWithOnlyMean(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"mean"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_mean": float64(1),
"b_mean": float64(2),
"c_mean": float64(3),
"d_mean": float64(4),
"e_mean": float64(200),
"f_mean": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating sum
func TestBasicStatsWithOnlySum(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"sum"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_sum": float64(2),
"b_sum": float64(4),
"c_sum": float64(6),
"d_sum": float64(8),
"e_sum": float64(200),
"f_sum": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Verify that sum doesn't suffer from floating point errors. Early
// implementations of sum were calculated from mean and count, which
// e.g. summed "1, 1, 5, 1" as "7.999999..." instead of 8.
func TestBasicStatsWithOnlySumFloatingPointErrata(t *testing.T) {
var sum1, _ = metric.New("m1",
map[string]string{},
map[string]interface{}{
"a": int64(1),
},
time.Now(),
)
var sum2, _ = metric.New("m1",
map[string]string{},
map[string]interface{}{
"a": int64(1),
},
time.Now(),
)
var sum3, _ = metric.New("m1",
map[string]string{},
map[string]interface{}{
"a": int64(5),
},
time.Now(),
)
var sum4, _ = metric.New("m1",
map[string]string{},
map[string]interface{}{
"a": int64(1),
},
time.Now(),
)
aggregator := NewBasicStats()
aggregator.Stats = []string{"sum"}
aggregator.Add(sum1)
aggregator.Add(sum2)
aggregator.Add(sum3)
aggregator.Add(sum4)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_sum": float64(8),
}
expectedTags := map[string]string{}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating variance
func TestBasicStatsWithOnlyVariance(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"s2"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_s2": float64(0),
"b_s2": float64(2),
"c_s2": float64(2),
"d_s2": float64(8),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating standard deviation
func TestBasicStatsWithOnlyStandardDeviation(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"stdev"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_stdev": float64(0),
"b_stdev": math.Sqrt(2),
"c_stdev": math.Sqrt(2),
"d_stdev": math.Sqrt(8),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test only aggregating minimum and maximum
func TestBasicStatsWithMinAndMax(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"min", "max"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
expectedFields := map[string]interface{}{
"a_max": float64(1), //a
"a_min": float64(1),
"b_max": float64(3), //b
"b_min": float64(1),
"c_max": float64(4), //c
"c_min": float64(2),
"d_max": float64(6), //d
"d_min": float64(2),
"e_max": float64(200), //e
"e_min": float64(200),
"f_max": float64(200), //f
"f_min": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test aggregating with all stats
func TestBasicStatsWithAllStats(t *testing.T) {
acc := testutil.Accumulator{}
minmax := NewBasicStats()
minmax.Stats = []string{"count", "min", "max", "mean", "stdev", "s2", "sum"}
minmax.Add(m1)
minmax.Add(m2)
minmax.Push(&acc)
expectedFields := map[string]interface{}{
"a_count": float64(2), //a
"a_max": float64(1),
"a_min": float64(1),
"a_mean": float64(1),
"a_stdev": float64(0),
"a_s2": float64(0),
"a_sum": float64(2),
"b_count": float64(2), //b
"b_max": float64(3),
"b_min": float64(1),
"b_mean": float64(2),
"b_s2": float64(2),
"b_sum": float64(4),
"b_stdev": math.Sqrt(2),
"c_count": float64(2), //c
"c_max": float64(4),
"c_min": float64(2),
"c_mean": float64(3),
"c_s2": float64(2),
"c_stdev": math.Sqrt(2),
"c_sum": float64(6),
"d_count": float64(2), //d
"d_max": float64(6),
"d_min": float64(2),
"d_mean": float64(4),
"d_s2": float64(8),
"d_stdev": math.Sqrt(8),
"d_sum": float64(8),
"e_count": float64(1), //e
"e_max": float64(200),
"e_min": float64(200),
"e_mean": float64(200),
"e_sum": float64(200),
"f_count": float64(1), //f
"f_max": float64(200),
"f_min": float64(200),
"f_mean": float64(200),
"f_sum": float64(200),
}
expectedTags := map[string]string{
"foo": "bar",
}
acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}
// Test that if an empty array is passed, no points are pushed
func TestBasicStatsWithNoStats(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
acc.AssertDoesNotContainMeasurement(t, "m1")
}
// Test that if an unknown stat is configured, it doesn't explode
func TestBasicStatsWithUnknownStat(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Stats = []string{"crazy"}
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
acc.AssertDoesNotContainMeasurement(t, "m1")
}
// Test that if Stats isn't supplied, then we only do count, min, max, mean,
// stdev, and s2. We purposely exclude sum for backwards compatibility,
// otherwise user's working systems will suddenly (and surprisingly) start
// capturing sum without their input.
func TestBasicStatsWithDefaultStats(t *testing.T) {
aggregator := NewBasicStats()
aggregator.Add(m1)
aggregator.Add(m2)
acc := testutil.Accumulator{}
aggregator.Push(&acc)
assert.True(t, acc.HasField("m1", "a_count"))
assert.True(t, acc.HasField("m1", "a_min"))
assert.True(t, acc.HasField("m1", "a_max"))
assert.True(t, acc.HasField("m1", "a_mean"))
assert.True(t, acc.HasField("m1", "a_stdev"))
assert.True(t, acc.HasField("m1", "a_s2"))
assert.False(t, acc.HasField("m1", "a_sum"))
}