prometheus

package
v1.21.0 Latest Latest
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 Go to latest Published: Dec 15, 2021 License: MIT Imports: 11 Imported by: 3

README

Prometheus

The prometheus data format converts metrics into the Prometheus text exposition format. When used with the prometheus input, the input should be use the metric_version = 2 option in order to properly round trip metrics.

Warning: When generating histogram and summary types, output may not be correct if the metric spans multiple batches. This issue can be somewhat, but not fully, mitigated by using outputs that support writing in "batch format". When using histogram and summary types, it is recommended to use only the prometheus_client output. Histogram and Summary types also update their expiration time based on the most recently received data. If incoming metrics stop updating specific buckets or quantiles but continue reporting others every bucket/quantile will continue to exist.

Configuration

[[outputs.file]]
  files = ["stdout"]
  use_batch_format = true

  ## Include the metric timestamp on each sample.
  prometheus_export_timestamp = false

  ## Sort prometheus metric families and metric samples.  Useful for
  ## debugging.
  prometheus_sort_metrics = false

  ## Output string fields as metric labels; when false string fields are
  ## discarded.
  prometheus_string_as_label = false

  ## Data format to output.
  ## Each data format has its own unique set of configuration options, read
  ## more about them here:
  ##   https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
  data_format = "prometheus"
Metrics

A Prometheus metric is created for each integer, float, boolean or unsigned field. Boolean values are converted to 1.0 for true and 0.0 for false.

The Prometheus metric names are produced by joining the measurement name with the field key. In the special case where the measurement name is prometheus it is not included in the final metric name.

Prometheus labels are produced for each tag.

Note: String fields are ignored and do not produce Prometheus metrics.

Example

Example Input
cpu,cpu=cpu0 time_guest=8022.6,time_system=26145.98,time_user=92512.89 1574317740000000000
cpu,cpu=cpu1 time_guest=8097.88,time_system=25223.35,time_user=96519.58 1574317740000000000
cpu,cpu=cpu2 time_guest=7386.28,time_system=24870.37,time_user=95631.59 1574317740000000000
cpu,cpu=cpu3 time_guest=7434.19,time_system=24843.71,time_user=93753.88 1574317740000000000
Example Output
# HELP cpu_time_guest Telegraf collected metric
# TYPE cpu_time_guest counter
cpu_time_guest{cpu="cpu0"} 9582.54
cpu_time_guest{cpu="cpu1"} 9660.88
cpu_time_guest{cpu="cpu2"} 8946.45
cpu_time_guest{cpu="cpu3"} 9002.31
# HELP cpu_time_system Telegraf collected metric
# TYPE cpu_time_system counter
cpu_time_system{cpu="cpu0"} 28675.47
cpu_time_system{cpu="cpu1"} 27779.34
cpu_time_system{cpu="cpu2"} 27406.18
cpu_time_system{cpu="cpu3"} 27404.97
# HELP cpu_time_user Telegraf collected metric
# TYPE cpu_time_user counter
cpu_time_user{cpu="cpu0"} 99551.84
cpu_time_user{cpu="cpu1"} 103468.52
cpu_time_user{cpu="cpu2"} 102591.45
cpu_time_user{cpu="cpu3"} 100717.05

Documentation

Index

Constants

This section is empty.

Variables

View Source 
var LabelNameTable = Table{
	First: &unicode.RangeTable{
		R16: []unicode.Range16{
			{0x0041, 0x005A, 1},
			{0x005F, 0x005F, 1},
			{0x0061, 0x007A, 1},
		},
		LatinOffset: 3,
	},
	Rest: &unicode.RangeTable{
		R16: []unicode.Range16{
			{0x0030, 0x0039, 1},
			{0x0041, 0x005A, 1},
			{0x005F, 0x005F, 1},
			{0x0061, 0x007A, 1},
		},
		LatinOffset: 4,
	},
}
View Source 
var MetricNameTable = Table{
	First: &unicode.RangeTable{
		R16: []unicode.Range16{
			{0x003A, 0x003A, 1},
			{0x0041, 0x005A, 1},
			{0x005F, 0x005F, 1},
			{0x0061, 0x007A, 1},
		},
		LatinOffset: 4,
	},
	Rest: &unicode.RangeTable{
		R16: []unicode.Range16{
			{0x0030, 0x003A, 1},
			{0x0041, 0x005A, 1},
			{0x005F, 0x005F, 1},
			{0x0061, 0x007A, 1},
		},
		LatinOffset: 4,
	},
}

Functions

func MetricName 

func MetricName(measurement, fieldKey string, valueType telegraf.ValueType) string

MetricName returns the Prometheus metric name.

func MetricType 

func MetricType(valueType telegraf.ValueType) *dto.MetricType

func SampleCount 

func SampleCount(value interface{}) (uint64, bool)

SampleCount converts a field value into a count suitable for a metric family of the Histogram or Summary type.

func SampleSum 

func SampleSum(value interface{}) (float64, bool)

SampleSum converts a field value into a sum suitable for a metric family of the Histogram or Summary type.

func SampleValue 

func SampleValue(value interface{}) (float64, bool)

SampleValue converts a field value into a value suitable for a simple sample value.

func SanitizeLabelName 

func SanitizeLabelName(name string) (string, bool)

SanitizeLabelName checks if the name is a valid Prometheus label name. If not, it attempts to replaces invalid runes with an underscore to create a valid name.

func SanitizeMetricName 

func SanitizeMetricName(name string) (string, bool)

SanitizeMetricName checks if the name is a valid Prometheus metric name. If not, it attempts to replaces invalid runes with an underscore to create a valid name.

Types

type Bucket 

type Bucket struct {
	Bound float64
	Count uint64
}

type Collection 

type Collection struct {
	Entries map[MetricFamily]Entry
	// contains filtered or unexported fields
}

func NewCollection 

func NewCollection(config FormatConfig) *Collection

func (*Collection) Add 

func (c *Collection) Add(metric telegraf.Metric, now time.Time)

func (*Collection) Expire 

func (c *Collection) Expire(now time.Time, age time.Duration)

func (*Collection) GetEntries 

func (c *Collection) GetEntries(order MetricSortOrder) []Entry

func (*Collection) GetMetrics 

func (c *Collection) GetMetrics(entry Entry, order MetricSortOrder) []*Metric

func (*Collection) GetProto 

func (c *Collection) GetProto() []*dto.MetricFamily

type Entry 

type Entry struct {
	Family  MetricFamily
	Metrics map[MetricKey]*Metric
}

type FormatConfig 

type FormatConfig struct {
	TimestampExport TimestampExport
	MetricSortOrder MetricSortOrder
	StringHandling  StringHandling
}

type Histogram 

type Histogram struct {
	Buckets []Bucket
	Count   uint64
	Sum     float64
}

type LabelPair 

type LabelPair struct {
	Name  string
	Value string
}

type Metric 

type Metric struct {
	Labels    []LabelPair
	Time      time.Time
	AddTime   time.Time
	Scaler    *Scaler
	Histogram *Histogram
	Summary   *Summary
}

type MetricFamily 

type MetricFamily struct {
	Name string
	Type telegraf.ValueType
}

type MetricKey 

type MetricKey uint64

func MakeMetricKey 

func MakeMetricKey(labels []LabelPair) MetricKey

type MetricSortOrder 

type MetricSortOrder int

MetricSortOrder controls if the output is sorted. 

const (
	NoSortMetrics MetricSortOrder = iota
	SortMetrics
)

type Quantile 

type Quantile struct {
	Quantile float64
	Value    float64
}

type Scaler 

type Scaler struct {
	Value float64
}

type Serializer 

type Serializer struct {
	// contains filtered or unexported fields
}

func NewSerializer 

func NewSerializer(config FormatConfig) (*Serializer, error)

func (*Serializer) Serialize 

func (s *Serializer) Serialize(metric telegraf.Metric) ([]byte, error)

func (*Serializer) SerializeBatch 

func (s *Serializer) SerializeBatch(metrics []telegraf.Metric) ([]byte, error)

type StringHandling 

type StringHandling int

StringHandling defines how to process string fields. 

const (
	DiscardStrings StringHandling = iota
	StringAsLabel
)

type Summary 

type Summary struct {
	Quantiles []Quantile
	Count     uint64
	Sum       float64
}

type Table 

type Table struct {
	First *unicode.RangeTable
	Rest  *unicode.RangeTable
}

type TimeFunc 

type TimeFunc func() time.Time

type TimestampExport 

type TimestampExport int

TimestampExport controls if the output contains timestamps. 

const (
	NoExportTimestamp TimestampExport = iota
	ExportTimestamp
)

Source Files

View all Source files

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