telegraf/plugins/processors/unpivot/unpivot_test.go

265 lines
5.8 KiB
Go

package unpivot
import (
"strconv"
"sync"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/metric"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/require"
)
func TestUnpivot_defaults(t *testing.T) {
unpivot := &Unpivot{}
require.NoError(t, unpivot.Init())
require.Equal(t, "tag", unpivot.FieldNameAs)
require.Equal(t, "name", unpivot.TagKey)
require.Equal(t, "value", unpivot.ValueKey)
}
func TestUnpivot_invalidMetricMode(t *testing.T) {
unpivot := &Unpivot{FieldNameAs: "unknown"}
require.Error(t, unpivot.Init())
}
func TestUnpivot_originalMode(t *testing.T) {
now := time.Now()
tests := []struct {
name string
unpivot *Unpivot
metrics []telegraf.Metric
expected []telegraf.Metric
}{
{
name: "simple",
unpivot: &Unpivot{
TagKey: "name",
ValueKey: "value",
},
metrics: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{},
map[string]interface{}{
"idle_time": int64(42),
},
now,
),
},
expected: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{
"name": "idle_time",
},
map[string]interface{}{
"value": int64(42),
},
now,
),
},
},
{
name: "multi fields",
unpivot: &Unpivot{
TagKey: "name",
ValueKey: "value",
},
metrics: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{},
map[string]interface{}{
"idle_time": int64(42),
"idle_user": int64(43),
},
now,
),
},
expected: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{
"name": "idle_time",
},
map[string]interface{}{
"value": int64(42),
},
now,
),
testutil.MustMetric("cpu",
map[string]string{
"name": "idle_user",
},
map[string]interface{}{
"value": int64(43),
},
now,
),
},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
actual := tt.unpivot.Apply(tt.metrics...)
testutil.RequireMetricsEqual(t, tt.expected, actual, testutil.SortMetrics())
})
}
}
func TestUnpivot_fieldMode(t *testing.T) {
now := time.Now()
tests := []struct {
name string
unpivot *Unpivot
metrics []telegraf.Metric
expected []telegraf.Metric
}{
{
name: "simple",
unpivot: &Unpivot{
FieldNameAs: "metric",
TagKey: "name",
ValueKey: "value",
},
metrics: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{},
map[string]interface{}{
"idle_time": int64(42),
},
now,
),
},
expected: []telegraf.Metric{
testutil.MustMetric("idle_time",
map[string]string{},
map[string]interface{}{
"value": int64(42),
},
now,
),
},
},
{
name: "multi fields",
unpivot: &Unpivot{
FieldNameAs: "metric",
TagKey: "name",
ValueKey: "value",
},
metrics: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{},
map[string]interface{}{
"idle_time": int64(42),
"idle_user": int64(43),
},
now,
),
},
expected: []telegraf.Metric{
testutil.MustMetric("idle_time",
map[string]string{},
map[string]interface{}{
"value": int64(42),
},
now,
),
testutil.MustMetric("idle_user",
map[string]string{},
map[string]interface{}{
"value": int64(43),
},
now,
),
},
},
{
name: "multi fields and tags",
unpivot: &Unpivot{
FieldNameAs: "metric",
TagKey: "name",
ValueKey: "value",
},
metrics: []telegraf.Metric{
testutil.MustMetric("cpu",
map[string]string{
"building": "5a",
},
map[string]interface{}{
"idle_time": int64(42),
"idle_user": int64(43),
},
now,
),
},
expected: []telegraf.Metric{
testutil.MustMetric("idle_time",
map[string]string{
"building": "5a",
},
map[string]interface{}{
"value": int64(42),
},
now,
),
testutil.MustMetric("idle_user",
map[string]string{
"building": "5a",
},
map[string]interface{}{
"value": int64(43),
},
now,
),
},
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
actual := tt.unpivot.Apply(tt.metrics...)
testutil.RequireMetricsEqual(t, tt.expected, actual, testutil.SortMetrics())
})
}
}
func TestTrackedMetricNotLost(t *testing.T) {
var mu sync.Mutex
delivered := make([]telegraf.DeliveryInfo, 0, 3)
notify := func(di telegraf.DeliveryInfo) {
mu.Lock()
defer mu.Unlock()
delivered = append(delivered, di)
}
input := make([]telegraf.Metric, 0, 3)
expected := make([]telegraf.Metric, 0, 6)
for i := 0; i < 3; i++ {
strI := strconv.Itoa(i)
m := metric.New("m"+strI, map[string]string{}, map[string]interface{}{"x": int64(1), "y": int64(2)}, time.Unix(0, 0))
tm, _ := metric.WithTracking(m, notify)
input = append(input, tm)
unpivot1 := metric.New("m"+strI, map[string]string{"name": "x"}, map[string]interface{}{"value": int64(1)}, time.Unix(0, 0))
unpivot2 := metric.New("m"+strI, map[string]string{"name": "y"}, map[string]interface{}{"value": int64(2)}, time.Unix(0, 0))
expected = append(expected, unpivot1, unpivot2)
}
// Process expected metrics and compare with resulting metrics
plugin := &Unpivot{TagKey: "name", ValueKey: "value"}
actual := plugin.Apply(input...)
testutil.RequireMetricsEqual(t, expected, actual, testutil.SortMetrics())
// Simulate output acknowledging delivery
for _, m := range actual {
m.Accept()
}
// Check delivery
require.Eventuallyf(t, func() bool {
mu.Lock()
defer mu.Unlock()
return len(input) == len(delivered)
}, time.Second, 100*time.Millisecond, "%d delivered but %d expected", len(delivered), len(input))
}