adds ability to parse datadog-formatted tags in the statsd input
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@ -21,6 +21,9 @@
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## convert measurement names, "." to "_" and "-" to "__"
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convert_names = true
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## parses tags in the datadog statsd format
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parse_data_dog_tags = false
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## Statsd data translation templates, more info can be read here:
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## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#graphite
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# templates = [
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@ -47,6 +47,10 @@ type Statsd struct {
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DeleteTimings bool
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ConvertNames bool
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// This flag enables parsing of tags in the dogstatsd extention to the
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// statsd protocol (http://docs.datadoghq.com/guides/dogstatsd/)
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ParseDataDogTags bool
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// UDPPacketSize is the size of the read packets for the server listening
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// for statsd UDP packets. This will default to 1500 bytes.
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UDPPacketSize int `toml:"udp_packet_size"`
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@ -148,6 +152,9 @@ const sampleConfig = `
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## convert measurement names, "." to "_" and "-" to "__"
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convert_names = true
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## parses tags in the datadog statsd format
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parse_data_dog_tags = false
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## Statsd data translation templates, more info can be read here:
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## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md#graphite
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# templates = [
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@ -318,6 +325,43 @@ func (s *Statsd) parseStatsdLine(line string) error {
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s.Lock()
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defer s.Unlock()
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lineTags := make(map[string]string)
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if s.ParseDataDogTags {
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recombinedSegments := make([]string, 0)
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// datadog tags look like this:
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// users.online:1|c|@0.5|#country:china,environment:production
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// users.online:1|c|#sometagwithnovalue
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// we will split on the pipe and remove any elements that are datadog
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// tags, parse them, and rebuild the line sans the datadog tags
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pipesplit := strings.Split(line, "|")
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for _, segment := range pipesplit {
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if len(segment) > 0 && segment[0] == '#' {
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// we have ourselves a tag; they are comma serated
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tagstr := segment[1:]
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tags := strings.Split(tagstr, ",")
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for _, tag := range tags {
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ts := strings.Split(tag, ":")
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var k, v string
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switch len(ts) {
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case 1:
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// just a tag
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k = ts[0]
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v = ""
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case 2:
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k = ts[0]
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v = ts[1]
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}
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if k != "" {
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lineTags[k] = v
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}
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}
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} else {
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recombinedSegments = append(recombinedSegments, segment)
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}
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}
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line = strings.Join(recombinedSegments, "|")
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}
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// Validate splitting the line on ":"
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bits := strings.Split(line, ":")
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if len(bits) < 2 {
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@ -415,6 +459,12 @@ func (s *Statsd) parseStatsdLine(line string) error {
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m.tags["metric_type"] = "histogram"
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}
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if len(lineTags) > 0 {
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for k, v := range lineTags {
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m.tags[k] = v
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}
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}
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// Make a unique key for the measurement name/tags
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var tg []string
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for k, v := range m.tags {
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@ -410,6 +410,84 @@ func TestParse_Tags(t *testing.T) {
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}
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}
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// Test that DataDog tags are parsed
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func TestParse_DataDogTags(t *testing.T) {
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s := NewStatsd()
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s.ParseDataDogTags = true
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lines := []string{
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"my_counter:1|c|#host:localhost,environment:prod",
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"my_gauge:10.1|g|#live",
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"my_set:1|s|#host:localhost",
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"my_timer:3|ms|@0.1|#live,host:localhost",
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}
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testTags := map[string]map[string]string{
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"my_counter": map[string]string{
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"host": "localhost",
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"environment": "prod",
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},
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"my_gauge": map[string]string{
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"live": "",
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},
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"my_set": map[string]string{
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"host": "localhost",
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},
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"my_timer": map[string]string{
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"live": "",
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"host": "localhost",
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},
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}
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for _, line := range lines {
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err := s.parseStatsdLine(line)
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if err != nil {
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t.Errorf("Parsing line %s should not have resulted in an error\n", line)
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}
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}
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sourceTags := map[string]map[string]string{
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"my_gauge": tagsForItem(s.gauges),
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"my_counter": tagsForItem(s.counters),
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"my_set": tagsForItem(s.sets),
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"my_timer": tagsForItem(s.timings),
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}
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for statName, tags := range testTags {
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for k, v := range tags {
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otherValue := sourceTags[statName][k]
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if sourceTags[statName][k] != v {
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t.Errorf("Error with %s, tag %s: %s != %s", statName, k, v, otherValue)
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}
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}
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}
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}
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func tagsForItem(m interface{}) map[string]string {
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switch m.(type) {
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case map[string]cachedcounter:
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for _, v := range m.(map[string]cachedcounter) {
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return v.tags
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}
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case map[string]cachedgauge:
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for _, v := range m.(map[string]cachedgauge) {
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return v.tags
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}
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case map[string]cachedset:
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for _, v := range m.(map[string]cachedset) {
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return v.tags
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}
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case map[string]cachedtimings:
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for _, v := range m.(map[string]cachedtimings) {
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return v.tags
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}
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}
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return nil
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}
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// Test that statsd buckets are parsed to measurement names properly
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func TestParseName(t *testing.T) {
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s := NewStatsd()
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