feat(processors.unpivot): Add mode to create new metrics (#12659)
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@ -20,18 +20,37 @@ See the [CONFIGURATION.md][CONFIGURATION.md] for more details.
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```toml @sample.conf
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# Rotate multi field metric into several single field metrics
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[[processors.unpivot]]
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## Metric mode to pivot to
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## Set to "tag", metrics are pivoted as a tag and the metric is kept as
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## the original measurement name. Tag key name is set by tag_key value.
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## Set to "metric" creates a new metric named the field name. With this
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## option the tag_key is ignored. Be aware that this could lead to metric
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## name conflicts!
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# use_fieldname_as = "tag"
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## Tag to use for the name.
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tag_key = "name"
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# tag_key = "name"
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## Field to use for the name of the value.
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value_key = "value"
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# value_key = "value"
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```
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## Example
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Metric mode `tag`:
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```diff
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- cpu,cpu=cpu0 time_idle=42i,time_user=43i
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+ cpu,cpu=cpu0,name=time_idle value=42i
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+ cpu,cpu=cpu0,name=time_user value=43i
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```
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Metric mode `metric`:
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```diff
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- cpu,cpu=cpu0 time_idle=42i,time_user=43i
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+ time_idle,cpu=cpu0 value=42i
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+ time_user,cpu=cpu0 value=43i
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```
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[pivot]: /plugins/processors/pivot/README.md
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@ -1,6 +1,15 @@
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# Rotate multi field metric into several single field metrics
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[[processors.unpivot]]
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## Metric mode to pivot to
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## Set to "tag", metrics are pivoted as a tag and the metric is kept as
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## the original measurement name. Tag key name is set by tag_key value.
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## Set to "metric" creates a new metric named the field name. With this
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## option the tag_key is ignored. Be aware that this could lead to metric
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## name conflicts!
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# use_fieldname_as = "tag"
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## Tag to use for the name.
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tag_key = "name"
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# tag_key = "name"
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## Field to use for the name of the value.
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value_key = "value"
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# value_key = "value"
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@ -3,6 +3,7 @@ package unpivot
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import (
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_ "embed"
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"fmt"
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/plugins/processors"
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@ -12,8 +13,9 @@ import (
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var sampleConfig string
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type Unpivot struct {
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TagKey string `toml:"tag_key"`
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ValueKey string `toml:"value_key"`
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FieldNameAs string `toml:"use_fieldname_as"`
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TagKey string `toml:"tag_key"`
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ValueKey string `toml:"value_key"`
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}
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func copyWithoutFields(metric telegraf.Metric) telegraf.Metric {
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@ -35,12 +37,30 @@ func (*Unpivot) SampleConfig() string {
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return sampleConfig
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}
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func (p *Unpivot) Init() error {
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switch p.FieldNameAs {
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case "metric":
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case "", "tag":
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p.FieldNameAs = "tag"
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default:
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return fmt.Errorf("unrecognized metric mode: %q", p.FieldNameAs)
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}
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if p.TagKey == "" {
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p.TagKey = "name"
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}
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if p.ValueKey == "" {
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p.ValueKey = "value"
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}
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return nil
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}
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func (p *Unpivot) Apply(metrics ...telegraf.Metric) []telegraf.Metric {
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fieldCount := 0
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for _, m := range metrics {
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fieldCount += len(m.FieldList())
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}
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results := make([]telegraf.Metric, 0, fieldCount)
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for _, m := range metrics {
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@ -48,7 +68,14 @@ func (p *Unpivot) Apply(metrics ...telegraf.Metric) []telegraf.Metric {
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for _, field := range m.FieldList() {
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newMetric := base.Copy()
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newMetric.AddField(p.ValueKey, field.Value)
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newMetric.AddTag(p.TagKey, field.Key)
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switch p.FieldNameAs {
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case "metric":
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newMetric.SetName(field.Key)
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case "", "tag":
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newMetric.AddTag(p.TagKey, field.Key)
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}
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results = append(results, newMetric)
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}
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m.Accept()
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@ -6,9 +6,23 @@ import (
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"github.com/influxdata/telegraf"
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"github.com/influxdata/telegraf/testutil"
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"github.com/stretchr/testify/require"
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)
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func TestUnpivot(t *testing.T) {
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func TestUnpivot_defaults(t *testing.T) {
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unpivot := &Unpivot{}
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require.NoError(t, unpivot.Init())
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require.Equal(t, "tag", unpivot.FieldNameAs)
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require.Equal(t, "name", unpivot.TagKey)
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require.Equal(t, "value", unpivot.ValueKey)
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}
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func TestUnpivot_invalidMetricMode(t *testing.T) {
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unpivot := &Unpivot{FieldNameAs: "unknown"}
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require.Error(t, unpivot.Init())
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}
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func TestUnpivot_originalMode(t *testing.T) {
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now := time.Now()
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tests := []struct {
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name string
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@ -88,3 +102,120 @@ func TestUnpivot(t *testing.T) {
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})
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}
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}
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func TestUnpivot_fieldMode(t *testing.T) {
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now := time.Now()
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tests := []struct {
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name string
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unpivot *Unpivot
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metrics []telegraf.Metric
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expected []telegraf.Metric
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}{
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{
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name: "simple",
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unpivot: &Unpivot{
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FieldNameAs: "metric",
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TagKey: "name",
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ValueKey: "value",
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},
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metrics: []telegraf.Metric{
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testutil.MustMetric("cpu",
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map[string]string{},
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map[string]interface{}{
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"idle_time": int64(42),
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},
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now,
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),
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},
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expected: []telegraf.Metric{
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testutil.MustMetric("idle_time",
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map[string]string{},
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map[string]interface{}{
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"value": int64(42),
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},
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now,
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),
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},
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},
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{
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name: "multi fields",
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unpivot: &Unpivot{
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FieldNameAs: "metric",
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TagKey: "name",
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ValueKey: "value",
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},
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metrics: []telegraf.Metric{
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testutil.MustMetric("cpu",
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map[string]string{},
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map[string]interface{}{
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"idle_time": int64(42),
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"idle_user": int64(43),
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},
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now,
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),
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},
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expected: []telegraf.Metric{
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testutil.MustMetric("idle_time",
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map[string]string{},
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map[string]interface{}{
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"value": int64(42),
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},
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now,
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),
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testutil.MustMetric("idle_user",
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map[string]string{},
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map[string]interface{}{
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"value": int64(43),
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},
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now,
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),
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},
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},
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{
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name: "multi fields and tags",
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unpivot: &Unpivot{
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FieldNameAs: "metric",
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TagKey: "name",
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ValueKey: "value",
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},
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metrics: []telegraf.Metric{
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testutil.MustMetric("cpu",
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map[string]string{
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"building": "5a",
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},
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map[string]interface{}{
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"idle_time": int64(42),
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"idle_user": int64(43),
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},
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now,
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),
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},
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expected: []telegraf.Metric{
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testutil.MustMetric("idle_time",
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map[string]string{
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"building": "5a",
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},
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map[string]interface{}{
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"value": int64(42),
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},
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now,
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),
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testutil.MustMetric("idle_user",
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map[string]string{
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"building": "5a",
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},
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map[string]interface{}{
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"value": int64(43),
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},
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now,
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),
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},
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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actual := tt.unpivot.Apply(tt.metrics...)
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testutil.RequireMetricsEqual(t, tt.expected, actual, testutil.SortMetrics())
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})
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}
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}
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