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https://github.com/prometheus/statsd_exporter.git
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Add support for Librato-style tags
Signed-off-by: Tony Wooster <twooster@gmail.com>
This commit is contained in:
parent
a35d17c160
commit
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4 changed files with 132 additions and 25 deletions
42
README.md
42
README.md
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@ -29,15 +29,37 @@ We recommend this only as an intermediate solution and recommend switching to
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[native Prometheus instrumentation](http://prometheus.io/docs/instrumenting/clientlibs/)
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in the long term.
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### DogStatsD extensions
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### Tagging Extensions
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The exporter will convert DogStatsD-style tags to prometheus labels. See
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[Tags](https://docs.datadoghq.com/developers/dogstatsd/data_types/#tagging) in the DogStatsD
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documentation for the concept description and
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[Datagram Format](https://docs.datadoghq.com/developers/dogstatsd/datagram_shell/)
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for specifics. It boils down to appending
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`|#tag:value,another_tag:another_value` to the normal StatsD format. Tags
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without values (`#some_tag`) are not supported.
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The exporter supports both Librato-style tags and DogStatsD-style tags,
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which will be converted into Prometheus labels.
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For Librato-style tags, they must be appended to the metric name, as so:
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```
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metric.name#tagName=val,tag2Name=val2:0|c
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```
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See the [statsd-librato-backend README](https://github.com/librato/statsd-librato-backend#tags)
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for a more complete description.
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For DogStatsD-style tags, they're appended as another section at the end of the
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metric, as so:
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```
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metric.name:0|c|#tagName=val,tag2Name=val2
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```
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See [Tags](https://docs.datadoghq.com/developers/dogstatsd/data_types/#tagging)
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in the DogStatsD documentation for the concept description and
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[Datagram Format](https://docs.datadoghq.com/developers/dogstatsd/datagram_shell/).
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Although you can use both tag types simultaneously, this is not recommended.
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DogStatsD `name=value` pairs will take priority over Librato tags with the same
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name.
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For both Librato and DogStatsD tags, tags without values (`#some_tag`) are not
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supported.
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## Building and Running
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@ -235,8 +257,8 @@ mappings:
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Note that timers will be accepted with the `ms`, `h`, and `d` statsd types. The first two are timers and histograms and the `d` type is for DataDog's "distribution" type. The distribution type is treated identically to timers and histograms.
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It should be noted that whereas timers in statsd expects the unit of timing data to be in milliseconds,
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prometheus expects the unit to be seconds. Hence, the exporter converts all timers to seconds
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It should be noted that whereas timers in statsd expects the unit of timing data to be in milliseconds,
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prometheus expects the unit to be seconds. Hence, the exporter converts all timers to seconds
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before exporting them.
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### DogStatsD Client Behavior
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@ -127,6 +127,26 @@ func TestHandlePacket(t *testing.T) {
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labels: map[string]string{"tag1": "bar", "tag2": "baz"},
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},
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},
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}, {
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name: "librato tag extension",
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in: "foo#tag1=bar,tag2=baz:100|c",
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out: Events{
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&CounterEvent{
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metricName: "foo",
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value: 100,
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labels: map[string]string{"tag1": "bar", "tag2": "baz"},
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},
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},
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}, {
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name: "librato tag extension with tag keys unsupported by prometheus",
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in: "foo#09digits=0,tag.with.dots=1:100|c",
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out: Events{
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&CounterEvent{
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metricName: "foo",
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value: 100,
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labels: map[string]string{"_09digits": "0", "tag_with_dots": "1"},
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},
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},
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}, {
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name: "datadog tag extension",
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in: "foo:100|c|#tag1:bar,tag2:baz",
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@ -197,6 +217,16 @@ func TestHandlePacket(t *testing.T) {
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labels: map[string]string{"tag1": "bar", "tag2": "baz"},
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},
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},
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}, {
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name: "librato and datadog tag extension with sampling",
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in: "foo#tag1=foo,tag3=bing:100|c|@0.1|#tag1:bar,#tag2:baz",
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out: Events{
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&CounterEvent{
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metricName: "foo",
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value: 1000,
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labels: map[string]string{"tag1": "bar", "tag3": "bing", "tag2": "baz"},
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},
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},
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}, {
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name: "histogram with sampling",
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in: "foo:0.01|h|@0.2|#tag1:bar,#tag2:baz",
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82
exporter.go
82
exporter.go
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@ -275,7 +275,63 @@ func buildEvent(statType, metric string, value float64, relative bool, labels ma
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}
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}
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func handleDogStatsDTagToKeyValue(labels map[string]string, component, tag string) {
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func handleLibratoTag(component, tag string, labels map[string]string) {
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// Empty tag is an error
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if len(tag) == 0 {
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tagErrors.Inc()
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log.Debugf("Empty Librato tag in component %s", component)
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return
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}
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for i, c := range tag {
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if c == '=' {
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k := tag[:i]
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v := tag[i+1:]
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if len(k) == 0 || len(v) == 0 {
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// Empty key or value, so it's an error
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tagErrors.Inc()
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log.Debugf("Malformed Librato tag %s=%s in component %s", k, v, component)
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} else {
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labels[escapeMetricName(k)] = v
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}
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return
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}
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}
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// Could not find an equals sign, so it's an error
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tagErrors.Inc()
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log.Debugf("Malformed Librato tag %s in component %s", tag, component)
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}
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func parseLibratoTags(component string, labels map[string]string) {
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lastTagEndIndex := 0
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for i, c := range component {
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if c == ',' {
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tag := component[lastTagEndIndex:i]
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lastTagEndIndex = i + 1
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handleLibratoTag(component, tag, labels)
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}
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}
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// If we're not off the end of the string, add the last tag
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if lastTagEndIndex < len(component) {
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tag := component[lastTagEndIndex:]
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handleLibratoTag(component, tag, labels)
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}
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}
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func parseNameAndLibratoLabels(name string, labels map[string]string) string {
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for i, c := range name {
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if c == '#' {
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parseLibratoTags(name[i+1:], labels)
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return name[:i]
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}
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}
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return name
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}
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func handleDogStatsDTag(component, tag string, labels map[string]string) {
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// Bail early if the tag is empty
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if len(tag) == 0 {
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tagErrors.Inc()
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@ -305,30 +361,23 @@ func handleDogStatsDTagToKeyValue(labels map[string]string, component, tag strin
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}
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labels[escapeMetricName(k)] = v
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return
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}
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func parseDogStatsDTagsToLabels(component string) map[string]string {
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labels := map[string]string{}
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tagsReceived.Inc()
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func parseDogStatsDTagsToLabels(component string, labels map[string]string) {
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lastTagEndIndex := 0
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for i, c := range component {
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if c == ',' {
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tag := component[lastTagEndIndex:i]
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lastTagEndIndex = i + 1
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handleDogStatsDTagToKeyValue(labels, component, tag)
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handleDogStatsDTag(component, tag, labels)
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}
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}
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// If we're not off the end of the string, add the last tag
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if lastTagEndIndex < len(component) {
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tag := component[lastTagEndIndex:]
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handleDogStatsDTagToKeyValue(labels, component, tag)
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handleDogStatsDTag(component, tag, labels)
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}
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return labels
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}
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func lineToEvents(line string) Events {
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log.Debugln("Bad line from StatsD:", line)
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return events
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}
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metric := elements[0]
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labels := map[string]string{}
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metric := parseNameAndLibratoLabels(elements[0], labels)
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var samples []string
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if strings.Contains(elements[1], "|#") {
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// using datadog extensions, disable multi-metrics
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}
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multiplyEvents := 1
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labels := map[string]string{}
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if len(components) >= 3 {
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for _, component := range components[2:] {
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if len(component) == 0 {
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multiplyEvents = int(1 / samplingFactor)
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}
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case '#':
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labels = parseDogStatsDTagsToLabels(component[1:])
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parseDogStatsDTagsToLabels(component[1:], labels)
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default:
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log.Debugf("Invalid sampling factor or tag section %s on line %s", components[2], line)
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sampleErrors.WithLabelValues("invalid_sample_factor").Inc()
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}
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}
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if len(labels) > 0 {
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tagsReceived.Inc()
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}
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for i := 0; i < multiplyEvents; i++ {
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event, err := buildEvent(statType, metric, value, relative, labels)
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if err != nil {
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@ -953,7 +953,8 @@ func BenchmarkParseDogStatsDTagsToLabels(b *testing.B) {
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for name, tags := range scenarios {
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b.Run(name, func(b *testing.B) {
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for n := 0; n < b.N; n++ {
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parseDogStatsDTagsToLabels(tags)
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labels := map[string]string{}
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parseDogStatsDTagsToLabels(tags, labels)
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}
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})
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}
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