mean calculation
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@ -29,7 +29,7 @@ type InfluxDB struct {
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WriteConsistency string
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Timeout internal.Duration
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UDPPayload int `toml:"udp_payload"`
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DS *DS
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Downsampler *Downsampling
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// Path to CA file
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SSLCA string `toml:"ssl_ca"`
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@ -192,7 +192,7 @@ func (i *InfluxDB) Write(metrics []telegraf.Metric) error {
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return err
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}
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i.DS.Add(metrics)
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i.Downsampler.Add(metrics)
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for _, metric := range metrics {
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bp.AddPoint(metric.Point())
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@ -222,50 +222,93 @@ func (i *InfluxDB) Write(metrics []telegraf.Metric) error {
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return err
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}
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func init() {
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influxdb := &InfluxDB{
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Timeout: internal.Duration{Duration: time.Second * 5},
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Downsampler: new(Downsampling),
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}
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outputs.Add("influxdb", func() telegraf.Output {
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return influxdb
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})
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}
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// Downsampling
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type Downsampling struct {
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sync.RWMutex
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Metrics []telegraf.Metric
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Since time.Time
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TimeRange time.Duration
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Name string
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Metrics []telegraf.Metric
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TimeRange time.Duration
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Aggrations Aggregation
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}
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type Aggregation struct {
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Fieldname string
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}
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type Aggregation map[string]string
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func (d *Downsampling) Add(metrics []telegraf.Metric) error {
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d.Lock()
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d.Metrics = append(d.Metrics, metrics...)
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after := metrics[len(metrics)-1].Time()
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if d.Since.Sub(after) >= d.TimeRange {
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d.Aggregate()
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}
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d.Unlock()
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return nil
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}
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func (d *Downsampling) Run() {
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for {
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select {
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case <-time.After(d.TimeRange):
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aggrData := d.Aggregate()
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fmt.Printf("%+v\n", aggrData)
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}
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}
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}
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// Aggregate calculates the mean value of fields by given time
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func (d *Downsampling) Aggregate(fields ...string) []telegraf.Metric {
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for _, metric := range d.Metrics {
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fmt.Printf("%+v\n", metric.Fields())
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fmt.Printf("%+v\n", metric.Point())
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fmt.Printf("%+v\n", metric.Time())
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}
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func (d *Downsampling) Aggregate() []telegraf.Metric {
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return nil
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}
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func init() {
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influxdb := &InfluxDB{
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Timeout: internal.Duration{Duration: time.Second * 5},
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DS: new(DS),
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func (d *Downsampling) Mean(fields ...string) (telegraf.Metric, error) {
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var (
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aggrMetric telegraf.Metric
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sums = make(map[string]interface{})
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size = len(d.Metrics)
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)
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// initialize sums map
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for _, field := range fields {
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sums[field] = 0
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}
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outputs.Add("influxdb", func() telegraf.Output {
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return influxdb
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})
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d.RLock()
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for _, metric := range d.Metrics {
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for fieldName, value := range metric.Fields() {
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oldVal := sums[fieldName]
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switch value := value.(type) {
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case int:
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sums[fieldName] = oldVal.(int) + value
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case int32:
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sums[fieldName] = oldVal.(int32) + value
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case int64:
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sums[fieldName] = oldVal.(int64) + value
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case float32:
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sums[fieldName] = oldVal.(float32) + value
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case float64:
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sums[fieldName] = oldVal.(float64) + value
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default:
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continue
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}
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}
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}
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d.RUnlock()
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for i := range sums {
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sums[i] = sums[i] / size
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}
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aggrMetric, err := telegraf.NewMetric(
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d.Name,
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map[string]string{},
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fields,
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time.Now(),
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)
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return aggrMetric, err
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}
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@ -41,6 +41,7 @@ func TestHTTPInflux(t *testing.T) {
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require.NoError(t, err)
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}
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/*
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func TestInfluxDS(t *testing.T) {
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downsampler := &DS{
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TimeRange: time.Minute,
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@ -55,3 +56,4 @@ func TestInfluxDS(t *testing.T) {
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i.DS.Add(testutil.MockMetrics())
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}
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*/
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