telegraf/plugins/aggregators/basicstats/basicstats_test.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),
		"g": int64(3),
	},
	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,
		"g":        int64(1),
	},
	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),
		"g_count": float64(2), //g
		"g_max":   float64(3),
		"g_min":   float64(1),
		"g_mean":  float64(2),
		"g_s2":    float64(2),
		"g_stdev": math.Sqrt(2),
	}
	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),
		"g_count": float64(1), //g
		"g_max":   float64(3),
		"g_min":   float64(3),
		"g_mean":  float64(3),
	}
	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),
		"g_count": float64(1), //g
		"g_max":   float64(1),
		"g_min":   float64(1),
		"g_mean":  float64(1),
	}
	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),
		"g_count": float64(2),
	}
	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),
		"g_min": float64(1),
	}
	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),
		"g_max": float64(3),
	}
	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),
		"g_mean": float64(2),
	}
	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),
		"g_sum": float64(4),
	}
	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),
		"g_s2": float64(2),
	}
	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),
		"g_stdev": math.Sqrt(2),
	}
	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),
		"g_max": float64(3), //g
		"g_min": float64(1),
	}
	expectedTags := map[string]string{
		"foo": "bar",
	}
	acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}

// Test only aggregating diff
func TestBasicStatsWithDiff(t *testing.T) {

	aggregator := NewBasicStats()
	aggregator.Stats = []string{"diff"}

	aggregator.Add(m1)
	aggregator.Add(m2)

	acc := testutil.Accumulator{}
	aggregator.Push(&acc)

	expectedFields := map[string]interface{}{
		"a_diff": float64(0),
		"b_diff": float64(2),
		"c_diff": float64(2),
		"d_diff": float64(4),
		"g_diff": float64(-2),
	}
	expectedTags := map[string]string{
		"foo": "bar",
	}
	acc.AssertContainsTaggedFields(t, "m1", expectedFields, expectedTags)
}

// Test only aggregating non_negative_diff
func TestBasicStatsWithNonNegativeDiff(t *testing.T) {

	aggregator := NewBasicStats()
	aggregator.Stats = []string{"non_negative_diff"}

	aggregator.Add(m1)
	aggregator.Add(m2)

	acc := testutil.Accumulator{}
	aggregator.Push(&acc)

	expectedFields := map[string]interface{}{
		"a_non_negative_diff": float64(0),
		"b_non_negative_diff": float64(2),
		"c_non_negative_diff": float64(2),
		"d_non_negative_diff": float64(4),
	}
	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),
		"g_count": float64(2), //g
		"g_max":   float64(3),
		"g_min":   float64(1),
		"g_mean":  float64(2),
		"g_s2":    float64(2),
		"g_stdev": math.Sqrt(2),
		"g_sum":   float64(4),
	}
	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"))
}