Changing StatsD in telegraf so that it able to fetch timestamp from metric tags instead of using current timestamp
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7f539c951a
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fb71143b79
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@ -61,6 +61,7 @@ type Statsd struct {
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// bucket -> influx templates
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// bucket -> influx templates
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Templates []string
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Templates []string
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timestamp time.Time
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}
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}
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func NewStatsd() *Statsd {
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func NewStatsd() *Statsd {
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@ -92,30 +93,35 @@ type metric struct {
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additive bool
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additive bool
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samplerate float64
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samplerate float64
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tags map[string]string
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tags map[string]string
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timestamp time.Time
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}
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}
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type cachedset struct {
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type cachedset struct {
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name string
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name string
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fields map[string]map[int64]bool
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fields map[string]map[int64]bool
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tags map[string]string
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tags map[string]string
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timestamp time.Time
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}
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}
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type cachedgauge struct {
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type cachedgauge struct {
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name string
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name string
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fields map[string]interface{}
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fields map[string]interface{}
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tags map[string]string
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tags map[string]string
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timestamp time.Time
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}
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}
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type cachedcounter struct {
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type cachedcounter struct {
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name string
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name string
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fields map[string]interface{}
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fields map[string]interface{}
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tags map[string]string
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tags map[string]string
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timestamp time.Time
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}
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}
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type cachedtimings struct {
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type cachedtimings struct {
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name string
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name string
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stats RunningStats
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stats RunningStats
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tags map[string]string
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tags map[string]string
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timestamp time.Time
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}
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}
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func (_ *Statsd) Description() string {
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func (_ *Statsd) Description() string {
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@ -166,8 +172,6 @@ func (_ *Statsd) SampleConfig() string {
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func (s *Statsd) Gather(acc telegraf.Accumulator) error {
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func (s *Statsd) Gather(acc telegraf.Accumulator) error {
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s.Lock()
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s.Lock()
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defer s.Unlock()
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defer s.Unlock()
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now := time.Now()
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for _, metric := range s.timings {
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for _, metric := range s.timings {
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fields := make(map[string]interface{})
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fields := make(map[string]interface{})
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fields["mean"] = metric.stats.Mean()
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fields["mean"] = metric.stats.Mean()
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@ -179,21 +183,21 @@ func (s *Statsd) Gather(acc telegraf.Accumulator) error {
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name := fmt.Sprintf("%v_percentile", percentile)
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name := fmt.Sprintf("%v_percentile", percentile)
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fields[name] = metric.stats.Percentile(percentile)
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fields[name] = metric.stats.Percentile(percentile)
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}
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}
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acc.AddFields(metric.name, fields, metric.tags, now)
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acc.AddFields(metric.name, fields, metric.tags, metric.timestamp)
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}
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}
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if s.DeleteTimings {
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if s.DeleteTimings {
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s.timings = make(map[string]cachedtimings)
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s.timings = make(map[string]cachedtimings)
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}
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}
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for _, metric := range s.gauges {
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for _, metric := range s.gauges {
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acc.AddFields(metric.name, metric.fields, metric.tags, now)
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acc.AddFields(metric.name, metric.fields, metric.tags, metric.timestamp)
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}
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}
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if s.DeleteGauges {
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if s.DeleteGauges {
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s.gauges = make(map[string]cachedgauge)
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s.gauges = make(map[string]cachedgauge)
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}
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}
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for _, metric := range s.counters {
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for _, metric := range s.counters {
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acc.AddFields(metric.name, metric.fields, metric.tags, now)
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acc.AddFields(metric.name, metric.fields, metric.tags, metric.timestamp)
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}
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}
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if s.DeleteCounters {
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if s.DeleteCounters {
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s.counters = make(map[string]cachedcounter)
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s.counters = make(map[string]cachedcounter)
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@ -204,7 +208,7 @@ func (s *Statsd) Gather(acc telegraf.Accumulator) error {
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for field, set := range metric.fields {
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for field, set := range metric.fields {
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fields[field] = int64(len(set))
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fields[field] = int64(len(set))
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}
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}
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acc.AddFields(metric.name, fields, metric.tags, now)
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acc.AddFields(metric.name, fields, metric.tags, metric.timestamp)
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}
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}
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if s.DeleteSets {
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if s.DeleteSets {
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s.sets = make(map[string]cachedset)
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s.sets = make(map[string]cachedset)
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@ -390,8 +394,20 @@ func (s *Statsd) parseStatsdLine(line string) error {
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// Make a unique key for the measurement name/tags
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// Make a unique key for the measurement name/tags
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var tg []string
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var tg []string
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timestamp_available := false
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for k, v := range m.tags {
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for k, v := range m.tags {
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tg = append(tg, fmt.Sprintf("%s=%s", k, v))
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tg = append(tg, fmt.Sprintf("%s=%s", k, v))
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if (k == "timestamp") {
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i, err := strconv.ParseInt(v, 10, 64)
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if err != nil {
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panic(err)
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}
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m.timestamp = time.Unix(i, 0)
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timestamp_available = true
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}
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}
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if (!timestamp_available) {
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m.timestamp = time.Now()
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}
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}
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sort.Strings(tg)
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sort.Strings(tg)
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m.hash = fmt.Sprintf("%s%s", strings.Join(tg, ""), m.name)
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m.hash = fmt.Sprintf("%s%s", strings.Join(tg, ""), m.name)
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@ -466,6 +482,7 @@ func (s *Statsd) aggregate(m metric) {
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cached = cachedtimings{
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cached = cachedtimings{
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name: m.name,
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name: m.name,
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tags: m.tags,
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tags: m.tags,
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timestamp: m.timestamp,
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stats: RunningStats{
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stats: RunningStats{
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PercLimit: s.PercentileLimit,
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PercLimit: s.PercentileLimit,
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},
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},
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@ -489,6 +506,7 @@ func (s *Statsd) aggregate(m metric) {
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name: m.name,
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name: m.name,
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fields: make(map[string]interface{}),
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fields: make(map[string]interface{}),
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tags: m.tags,
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tags: m.tags,
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timestamp: m.timestamp,
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}
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}
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}
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}
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// check if the field exists
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// check if the field exists
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@ -506,6 +524,7 @@ func (s *Statsd) aggregate(m metric) {
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name: m.name,
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name: m.name,
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fields: make(map[string]interface{}),
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fields: make(map[string]interface{}),
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tags: m.tags,
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tags: m.tags,
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timestamp: m.timestamp,
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}
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}
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}
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}
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// check if the field exists
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// check if the field exists
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@ -527,6 +546,7 @@ func (s *Statsd) aggregate(m metric) {
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name: m.name,
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name: m.name,
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fields: make(map[string]map[int64]bool),
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fields: make(map[string]map[int64]bool),
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tags: m.tags,
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tags: m.tags,
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timestamp: m.timestamp,
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}
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}
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}
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}
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// check if the field exists
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// check if the field exists
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