Add support for Librato-style tags

Signed-off-by: Tony Wooster <twooster@gmail.com>
This commit is contained in:
Tony Wooster 2019-09-14 16:29:22 +02:00
parent a35d17c160
commit 2933dd8ad0
4 changed files with 132 additions and 25 deletions

View file

@ -29,15 +29,37 @@ We recommend this only as an intermediate solution and recommend switching to
[native Prometheus instrumentation](http://prometheus.io/docs/instrumenting/clientlibs/)
in the long term.
### DogStatsD extensions
### Tagging Extensions
The exporter will convert DogStatsD-style tags to prometheus labels. See
[Tags](https://docs.datadoghq.com/developers/dogstatsd/data_types/#tagging) in the DogStatsD
documentation for the concept description and
[Datagram Format](https://docs.datadoghq.com/developers/dogstatsd/datagram_shell/)
for specifics. It boils down to appending
`|#tag:value,another_tag:another_value` to the normal StatsD format. Tags
without values (`#some_tag`) are not supported.
The exporter supports both Librato-style tags and DogStatsD-style tags,
which will be converted into Prometheus labels.
For Librato-style tags, they must be appended to the metric name, as so:
```
metric.name#tagName=val,tag2Name=val2:0|c
```
See the [statsd-librato-backend README](https://github.com/librato/statsd-librato-backend#tags)
for a more complete description.
For DogStatsD-style tags, they're appended as another section at the end of the
metric, as so:
```
metric.name:0|c|#tagName=val,tag2Name=val2
```
See [Tags](https://docs.datadoghq.com/developers/dogstatsd/data_types/#tagging)
in the DogStatsD documentation for the concept description and
[Datagram Format](https://docs.datadoghq.com/developers/dogstatsd/datagram_shell/).
Although you can use both tag types simultaneously, this is not recommended.
DogStatsD `name=value` pairs will take priority over Librato tags with the same
name.
For both Librato and DogStatsD tags, tags without values (`#some_tag`) are not
supported.
## Building and Running
@ -235,8 +257,8 @@ mappings:
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.
It should be noted that whereas timers in statsd expects the unit of timing data to be in milliseconds,
prometheus expects the unit to be seconds. Hence, the exporter converts all timers to seconds
It should be noted that whereas timers in statsd expects the unit of timing data to be in milliseconds,
prometheus expects the unit to be seconds. Hence, the exporter converts all timers to seconds
before exporting them.
### DogStatsD Client Behavior

View file

@ -127,6 +127,26 @@ func TestHandlePacket(t *testing.T) {
labels: map[string]string{"tag1": "bar", "tag2": "baz"},
},
},
}, {
name: "librato tag extension",
in: "foo#tag1=bar,tag2=baz:100|c",
out: Events{
&CounterEvent{
metricName: "foo",
value: 100,
labels: map[string]string{"tag1": "bar", "tag2": "baz"},
},
},
}, {
name: "librato tag extension with tag keys unsupported by prometheus",
in: "foo#09digits=0,tag.with.dots=1:100|c",
out: Events{
&CounterEvent{
metricName: "foo",
value: 100,
labels: map[string]string{"_09digits": "0", "tag_with_dots": "1"},
},
},
}, {
name: "datadog tag extension",
in: "foo:100|c|#tag1:bar,tag2:baz",
@ -197,6 +217,16 @@ func TestHandlePacket(t *testing.T) {
labels: map[string]string{"tag1": "bar", "tag2": "baz"},
},
},
}, {
name: "librato and datadog tag extension with sampling",
in: "foo#tag1=foo,tag3=bing:100|c|@0.1|#tag1:bar,#tag2:baz",
out: Events{
&CounterEvent{
metricName: "foo",
value: 1000,
labels: map[string]string{"tag1": "bar", "tag3": "bing", "tag2": "baz"},
},
},
}, {
name: "histogram with sampling",
in: "foo:0.01|h|@0.2|#tag1:bar,#tag2:baz",

View file

@ -275,7 +275,63 @@ func buildEvent(statType, metric string, value float64, relative bool, labels ma
}
}
func handleDogStatsDTagToKeyValue(labels map[string]string, component, tag string) {
func handleLibratoTag(component, tag string, labels map[string]string) {
// Empty tag is an error
if len(tag) == 0 {
tagErrors.Inc()
log.Debugf("Empty Librato tag in component %s", component)
return
}
for i, c := range tag {
if c == '=' {
k := tag[:i]
v := tag[i+1:]
if len(k) == 0 || len(v) == 0 {
// Empty key or value, so it's an error
tagErrors.Inc()
log.Debugf("Malformed Librato tag %s=%s in component %s", k, v, component)
} else {
labels[escapeMetricName(k)] = v
}
return
}
}
// Could not find an equals sign, so it's an error
tagErrors.Inc()
log.Debugf("Malformed Librato tag %s in component %s", tag, component)
}
func parseLibratoTags(component string, labels map[string]string) {
lastTagEndIndex := 0
for i, c := range component {
if c == ',' {
tag := component[lastTagEndIndex:i]
lastTagEndIndex = i + 1
handleLibratoTag(component, tag, labels)
}
}
// If we're not off the end of the string, add the last tag
if lastTagEndIndex < len(component) {
tag := component[lastTagEndIndex:]
handleLibratoTag(component, tag, labels)
}
}
func parseNameAndLibratoLabels(name string, labels map[string]string) string {
for i, c := range name {
if c == '#' {
parseLibratoTags(name[i+1:], labels)
return name[:i]
}
}
return name
}
func handleDogStatsDTag(component, tag string, labels map[string]string) {
// Bail early if the tag is empty
if len(tag) == 0 {
tagErrors.Inc()
@ -305,30 +361,23 @@ func handleDogStatsDTagToKeyValue(labels map[string]string, component, tag strin
}
labels[escapeMetricName(k)] = v
return
}
func parseDogStatsDTagsToLabels(component string) map[string]string {
labels := map[string]string{}
tagsReceived.Inc()
func parseDogStatsDTagsToLabels(component string, labels map[string]string) {
lastTagEndIndex := 0
for i, c := range component {
if c == ',' {
tag := component[lastTagEndIndex:i]
lastTagEndIndex = i + 1
handleDogStatsDTagToKeyValue(labels, component, tag)
handleDogStatsDTag(component, tag, labels)
}
}
// If we're not off the end of the string, add the last tag
if lastTagEndIndex < len(component) {
tag := component[lastTagEndIndex:]
handleDogStatsDTagToKeyValue(labels, component, tag)
handleDogStatsDTag(component, tag, labels)
}
return labels
}
func lineToEvents(line string) Events {
@ -343,7 +392,9 @@ func lineToEvents(line string) Events {
log.Debugln("Bad line from StatsD:", line)
return events
}
metric := elements[0]
labels := map[string]string{}
metric := parseNameAndLibratoLabels(elements[0], labels)
var samples []string
if strings.Contains(elements[1], "|#") {
// using datadog extensions, disable multi-metrics
@ -376,7 +427,6 @@ samples:
}
multiplyEvents := 1
labels := map[string]string{}
if len(components) >= 3 {
for _, component := range components[2:] {
if len(component) == 0 {
@ -407,7 +457,7 @@ samples:
multiplyEvents = int(1 / samplingFactor)
}
case '#':
labels = parseDogStatsDTagsToLabels(component[1:])
parseDogStatsDTagsToLabels(component[1:], labels)
default:
log.Debugf("Invalid sampling factor or tag section %s on line %s", components[2], line)
sampleErrors.WithLabelValues("invalid_sample_factor").Inc()
@ -416,6 +466,10 @@ samples:
}
}
if len(labels) > 0 {
tagsReceived.Inc()
}
for i := 0; i < multiplyEvents; i++ {
event, err := buildEvent(statType, metric, value, relative, labels)
if err != nil {

View file

@ -953,7 +953,8 @@ func BenchmarkParseDogStatsDTagsToLabels(b *testing.B) {
for name, tags := range scenarios {
b.Run(name, func(b *testing.B) {
for n := 0; n < b.N; n++ {
parseDogStatsDTagsToLabels(tags)
labels := map[string]string{}
parseDogStatsDTagsToLabels(tags, labels)
}
})
}