dom
/
telegraf
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

Support Processor & Aggregator Plugins 

closes #1726
This commit is contained in:
Cameron Sparr 2016-09-08 15:22:10 +01:00
parent 974221f0cf
commit 64a71263a1
28 changed files with 1832 additions and 654 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
accumulator.go
View File

@ -2,9 +2,8 @@ package telegraf
import "time"
// Accumulator is an interface for "accumulating" metrics from input plugin(s).
// The metrics are sent down a channel shared between all input plugins and then
// flushed on the configured flush_interval.
// Accumulator is an interface for "accumulating" metrics from plugin(s).
// The metrics are sent down a channel shared between all plugins.
type Accumulator interface {
// AddFields adds a metric to the accumulator with the given measurement
// name, fields, and tags (and timestamp). If a timestamp is not provided,
@ -29,12 +28,7 @@ type Accumulator interface {
tags map[string]string,
t ...time.Time)
AddError(err error)
Debug() bool
SetDebug(enabled bool)
SetPrecision(precision, interval time.Duration)
DisablePrecision()
AddError(err error)
}

179
agent/accumulator.go
View File

@ -1,37 +1,40 @@
package agent
import (
"fmt"
"log"
"math"
"sync/atomic"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal/models"
)
type MetricMaker interface {
Name() string
MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric
}
func NewAccumulator(
inputConfig *models.InputConfig,
maker MetricMaker,
metrics chan telegraf.Metric,
) *accumulator {
acc := accumulator{}
acc.metrics = metrics
acc.inputConfig = inputConfig
acc.precision = time.Nanosecond
acc := accumulator{
maker: maker,
metrics: metrics,
precision: time.Nanosecond,
}
return &acc
}
type accumulator struct {
metrics chan telegraf.Metric
defaultTags map[string]string
debug bool
// print every point added to the accumulator
trace bool
inputConfig *models.InputConfig
maker MetricMaker
precision time.Duration
@ -44,7 +47,7 @@ func (ac *accumulator) AddFields(
tags map[string]string,
t ...time.Time,
) {
if m := ac.makeMetric(measurement, fields, tags, telegraf.Untyped, t...); m != nil {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Untyped, ac.getTime(t)); m != nil {
ac.metrics <- m
}
}
@ -55,7 +58,7 @@ func (ac *accumulator) AddGauge(
tags map[string]string,
t ...time.Time,
) {
if m := ac.makeMetric(measurement, fields, tags, telegraf.Gauge, t...); m != nil {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Gauge, ac.getTime(t)); m != nil {
ac.metrics <- m
}
}
@ -66,114 +69,11 @@ func (ac *accumulator) AddCounter(
tags map[string]string,
t ...time.Time,
) {
if m := ac.makeMetric(measurement, fields, tags, telegraf.Counter, t...); m != nil {
if m := ac.maker.MakeMetric(measurement, fields, tags, telegraf.Counter, ac.getTime(t)); m != nil {
ac.metrics <- m
}
}
// makeMetric either returns a metric, or returns nil if the metric doesn't
// need to be created (because of filtering, an error, etc.)
func (ac *accumulator) makeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t ...time.Time,
) telegraf.Metric {
if len(fields) == 0 || len(measurement) == 0 {
return nil
}
if tags == nil {
tags = make(map[string]string)
}
// Override measurement name if set
if len(ac.inputConfig.NameOverride) != 0 {
measurement = ac.inputConfig.NameOverride
}
// Apply measurement prefix and suffix if set
if len(ac.inputConfig.MeasurementPrefix) != 0 {
measurement = ac.inputConfig.MeasurementPrefix + measurement
}
if len(ac.inputConfig.MeasurementSuffix) != 0 {
measurement = measurement + ac.inputConfig.MeasurementSuffix
}
// Apply plugin-wide tags if set
for k, v := range ac.inputConfig.Tags {
if _, ok := tags[k]; !ok {
tags[k] = v
}
}
// Apply daemon-wide tags if set
for k, v := range ac.defaultTags {
if _, ok := tags[k]; !ok {
tags[k] = v
}
}
// Apply the metric filter(s)
if ok := ac.inputConfig.Filter.Apply(measurement, fields, tags); !ok {
return nil
}
for k, v := range fields {
// Validate uint64 and float64 fields
switch val := v.(type) {
case uint64:
// InfluxDB does not support writing uint64
if val < uint64(9223372036854775808) {
fields[k] = int64(val)
} else {
fields[k] = int64(9223372036854775807)
}
continue
case float64:
// NaNs are invalid values in influxdb, skip measurement
if math.IsNaN(val) || math.IsInf(val, 0) {
if ac.debug {
log.Printf("I! Measurement [%s] field [%s] has a NaN or Inf "+
"field, skipping",
measurement, k)
}
delete(fields, k)
continue
}
}
fields[k] = v
}
var timestamp time.Time
if len(t) > 0 {
timestamp = t[0]
} else {
timestamp = time.Now()
}
timestamp = timestamp.Round(ac.precision)
var m telegraf.Metric
var err error
switch mType {
case telegraf.Counter:
m, err = telegraf.NewCounterMetric(measurement, tags, fields, timestamp)
case telegraf.Gauge:
m, err = telegraf.NewGaugeMetric(measurement, tags, fields, timestamp)
default:
m, err = telegraf.NewMetric(measurement, tags, fields, timestamp)
}
if err != nil {
log.Printf("E! Error adding point [%s]: %s\n", measurement, err.Error())
return nil
}
if ac.trace {
fmt.Println("> " + m.String())
}
return m
}
// AddError passes a runtime error to the accumulator.
// The error will be tagged with the plugin name and written to the log.
func (ac *accumulator) AddError(err error) {
@ -182,23 +82,7 @@ func (ac *accumulator) AddError(err error) {
}
atomic.AddUint64(&ac.errCount, 1)
//TODO suppress/throttle consecutive duplicate errors?
log.Printf("E! Error in input [%s]: %s", ac.inputConfig.Name, err)
}
func (ac *accumulator) Debug() bool {
return ac.debug
}
func (ac *accumulator) SetDebug(debug bool) {
ac.debug = debug
}
func (ac *accumulator) Trace() bool {
return ac.trace
}
func (ac *accumulator) SetTrace(trace bool) {
ac.trace = trace
log.Printf("E! Error in plugin [%s]: %s", ac.maker.Name(), err)
}
// SetPrecision takes two time.Duration objects. If the first is non-zero,
@ -222,17 +106,12 @@ func (ac *accumulator) SetPrecision(precision, interval time.Duration) {
}
}
func (ac *accumulator) DisablePrecision() {
ac.precision = time.Nanosecond
func (ac accumulator) getTime(t []time.Time) time.Time {
var timestamp time.Time
if len(t) > 0 {
timestamp = t[0]
} else {
timestamp = time.Now()
return timestamp.Round(ac.precision)
}
func (ac *accumulator) setDefaultTags(tags map[string]string) {
ac.defaultTags = tags
}
func (ac *accumulator) addDefaultTag(key, value string) {
if ac.defaultTags == nil {
ac.defaultTags = make(map[string]string)
}
ac.defaultTags[key] = value
}

611
agent/accumulator_test.go
View File

@ -4,24 +4,21 @@ import (
"bytes"
"fmt"
"log"
"math"
"os"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal/models"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestAdd(t *testing.T) {
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
@ -33,97 +30,142 @@ func TestAdd(t *testing.T) {
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-a.metrics
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-a.metrics
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", now.UnixNano()),
actual)
}
func TestAddGauge(t *testing.T) {
a := accumulator{}
func TestAddFields(t *testing.T) {
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
fields := map[string]interface{}{
"usage": float64(99),
}
a.AddFields("acctest", fields, map[string]string{})
a.AddGauge("acctest", fields, map[string]string{"acc": "test"})
a.AddCounter("acctest", fields, map[string]string{"acc": "test"}, now)
testm := <-a.metrics
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Equal(t, testm.Type(), telegraf.Gauge)
assert.Contains(t, actual, "acctest usage=99")
testm = <-a.metrics
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
assert.Equal(t, testm.Type(), telegraf.Gauge)
assert.Contains(t, actual, "acctest,acc=test usage=99")
testm = <-a.metrics
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", now.UnixNano()),
fmt.Sprintf("acctest,acc=test usage=99 %d", now.UnixNano()),
actual)
assert.Equal(t, testm.Type(), telegraf.Gauge)
}
func TestAddCounter(t *testing.T) {
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
func TestAccAddError(t *testing.T) {
errBuf := bytes.NewBuffer(nil)
log.SetOutput(errBuf)
defer log.SetOutput(os.Stderr)
a.AddCounter("acctest",
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddError(fmt.Errorf("foo"))
a.AddError(fmt.Errorf("bar"))
a.AddError(fmt.Errorf("baz"))
errs := bytes.Split(errBuf.Bytes(), []byte{'\n'})
assert.EqualValues(t, 3, a.errCount)
require.Len(t, errs, 4) // 4 because of trailing newline
assert.Contains(t, string(errs[0]), "TestPlugin")
assert.Contains(t, string(errs[0]), "foo")
assert.Contains(t, string(errs[1]), "TestPlugin")
assert.Contains(t, string(errs[1]), "bar")
assert.Contains(t, string(errs[2]), "TestPlugin")
assert.Contains(t, string(errs[2]), "baz")
}
func TestAddNoIntervalWithPrecision(t *testing.T) {
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(0, time.Second)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddCounter("acctest",
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddCounter("acctest",
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Equal(t, testm.Type(), telegraf.Counter)
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
assert.Equal(t, testm.Type(), telegraf.Counter)
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", now.UnixNano()),
fmt.Sprintf("acctest,acc=test value=101 %d", int64(1139572800000000000)),
actual)
}
func TestAddDisablePrecision(t *testing.T) {
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(time.Nanosecond, 0)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", int64(1139572800082912748)),
actual)
assert.Equal(t, testm.Type(), telegraf.Counter)
}
func TestAddNoPrecisionWithInterval(t *testing.T) {
a := accumulator{}
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(0, time.Second)
a.AddFields("acctest",
@ -151,79 +193,11 @@ func TestAddNoPrecisionWithInterval(t *testing.T) {
actual)
}
func TestAddNoIntervalWithPrecision(t *testing.T) {
a := accumulator{}
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
a.SetPrecision(time.Second, time.Millisecond)
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", int64(1139572800000000000)),
actual)
}
func TestAddDisablePrecision(t *testing.T) {
a := accumulator{}
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
a.SetPrecision(time.Second, time.Millisecond)
a.DisablePrecision()
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", int64(1139572800082912748)),
actual)
}
func TestDifferentPrecisions(t *testing.T) {
a := accumulator{}
now := time.Date(2006, time.February, 10, 12, 0, 0, 82912748, time.UTC)
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.SetPrecision(0, time.Second)
a.AddFields("acctest",
@ -266,349 +240,100 @@ func TestDifferentPrecisions(t *testing.T) {
actual)
}
func TestAddDefaultTags(t *testing.T) {
a := accumulator{}
a.addDefaultTag("default", "tag")
func TestAddGauge(t *testing.T) {
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a.AddFields("acctest",
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
a.AddGauge("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest,default=tag value=101")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test,default=tag value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test,default=tag value=101 %d", now.UnixNano()),
actual)
}
func TestAddFields(t *testing.T) {
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
fields := map[string]interface{}{
"usage": float64(99),
}
a.AddFields("acctest", fields, map[string]string{})
a.AddFields("acctest", fields, map[string]string{"acc": "test"})
a.AddFields("acctest", fields, map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest usage=99")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test usage=99")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test usage=99 %d", now.UnixNano()),
actual)
}
// Test that all Inf fields get dropped, and not added to metrics channel
func TestAddInfFields(t *testing.T) {
inf := math.Inf(1)
ninf := math.Inf(-1)
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
fields := map[string]interface{}{
"usage": inf,
"nusage": ninf,
}
a.AddFields("acctest", fields, map[string]string{})
a.AddFields("acctest", fields, map[string]string{"acc": "test"})
a.AddFields("acctest", fields, map[string]string{"acc": "test"}, now)
assert.Len(t, a.metrics, 0)
// test that non-inf fields are kept and not dropped
fields["notinf"] = float64(100)
a.AddFields("acctest", fields, map[string]string{})
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest notinf=100")
}
// Test that nan fields are dropped and not added
func TestAddNaNFields(t *testing.T) {
nan := math.NaN()
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
fields := map[string]interface{}{
"usage": nan,
}
a.AddFields("acctest", fields, map[string]string{})
a.AddFields("acctest", fields, map[string]string{"acc": "test"})
a.AddFields("acctest", fields, map[string]string{"acc": "test"}, now)
assert.Len(t, a.metrics, 0)
// test that non-nan fields are kept and not dropped
fields["notnan"] = float64(100)
a.AddFields("acctest", fields, map[string]string{})
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest notnan=100")
}
func TestAddUint64Fields(t *testing.T) {
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
fields := map[string]interface{}{
"usage": uint64(99),
}
a.AddFields("acctest", fields, map[string]string{})
a.AddFields("acctest", fields, map[string]string{"acc": "test"})
a.AddFields("acctest", fields, map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest usage=99i")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test usage=99i")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test usage=99i %d", now.UnixNano()),
actual)
}
func TestAddUint64Overflow(t *testing.T) {
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
fields := map[string]interface{}{
"usage": uint64(9223372036854775808),
}
a.AddFields("acctest", fields, map[string]string{})
a.AddFields("acctest", fields, map[string]string{"acc": "test"})
a.AddFields("acctest", fields, map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest usage=9223372036854775807i")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test usage=9223372036854775807i")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test usage=9223372036854775807i %d", now.UnixNano()),
actual)
}
func TestAddInts(t *testing.T) {
a := accumulator{}
a.addDefaultTag("default", "tag")
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
a.AddFields("acctest",
map[string]interface{}{"value": int(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": int32(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": int64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest,default=tag value=101i")
testm = <-a.metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test,default=tag value=101i")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test,default=tag value=101i %d", now.UnixNano()),
actual)
}
func TestAddFloats(t *testing.T) {
a := accumulator{}
a.addDefaultTag("default", "tag")
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
a.AddFields("acctest",
map[string]interface{}{"value": float32(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest,acc=test,default=tag value=101")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test,default=tag value=101 %d", now.UnixNano()),
actual)
}
func TestAddStrings(t *testing.T) {
a := accumulator{}
a.addDefaultTag("default", "tag")
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
a.AddFields("acctest",
map[string]interface{}{"value": "test"},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": "foo"},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest,acc=test,default=tag value=\"test\"")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test,default=tag value=\"foo\" %d", now.UnixNano()),
actual)
}
func TestAddBools(t *testing.T) {
a := accumulator{}
a.addDefaultTag("default", "tag")
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
a.inputConfig = &models.InputConfig{}
a.AddFields("acctest",
map[string]interface{}{"value": true}, map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": false}, map[string]string{"acc": "test"}, now)
testm := <-a.metrics
actual := testm.String()
assert.Contains(t, actual, "acctest,acc=test,default=tag value=true")
testm = <-a.metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test,default=tag value=false %d", now.UnixNano()),
actual)
}
// Test that tag filters get applied to metrics.
func TestAccFilterTags(t *testing.T) {
a := accumulator{}
now := time.Now()
a.metrics = make(chan telegraf.Metric, 10)
defer close(a.metrics)
filter := models.Filter{
TagExclude: []string{"acc"},
}
assert.NoError(t, filter.Compile())
a.inputConfig = &models.InputConfig{}
a.inputConfig.Filter = filter
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddFields("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
testm := <-a.metrics
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Equal(t, testm.Type(), telegraf.Gauge)
testm = <-a.metrics
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Contains(t, actual, "acctest,acc=test value=101")
assert.Equal(t, testm.Type(), telegraf.Gauge)
testm = <-a.metrics
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest value=101 %d", now.UnixNano()),
fmt.Sprintf("acctest,acc=test value=101 %d", now.UnixNano()),
actual)
assert.Equal(t, testm.Type(), telegraf.Gauge)
}
func TestAccAddError(t *testing.T) {
errBuf := bytes.NewBuffer(nil)
log.SetOutput(errBuf)
defer log.SetOutput(os.Stderr)
func TestAddCounter(t *testing.T) {
now := time.Now()
metrics := make(chan telegraf.Metric, 10)
defer close(metrics)
a := NewAccumulator(&TestMetricMaker{}, metrics)
a := accumulator{}
a.inputConfig = &models.InputConfig{}
a.inputConfig.Name = "mock_plugin"
a.AddCounter("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{})
a.AddCounter("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"})
a.AddCounter("acctest",
map[string]interface{}{"value": float64(101)},
map[string]string{"acc": "test"}, now)
a.AddError(fmt.Errorf("foo"))
a.AddError(fmt.Errorf("bar"))
a.AddError(fmt.Errorf("baz"))
testm := <-metrics
actual := testm.String()
assert.Contains(t, actual, "acctest value=101")
assert.Equal(t, testm.Type(), telegraf.Counter)
errs := bytes.Split(errBuf.Bytes(), []byte{'\n'})
assert.EqualValues(t, 3, a.errCount)
require.Len(t, errs, 4) // 4 because of trailing newline
assert.Contains(t, string(errs[0]), "mock_plugin")
assert.Contains(t, string(errs[0]), "foo")
assert.Contains(t, string(errs[1]), "mock_plugin")
assert.Contains(t, string(errs[1]), "bar")
assert.Contains(t, string(errs[2]), "mock_plugin")
assert.Contains(t, string(errs[2]), "baz")
testm = <-metrics
actual = testm.String()
assert.Contains(t, actual, "acctest,acc=test value=101")
assert.Equal(t, testm.Type(), telegraf.Counter)
testm = <-metrics
actual = testm.String()
assert.Equal(t,
fmt.Sprintf("acctest,acc=test value=101 %d", now.UnixNano()),
actual)
assert.Equal(t, testm.Type(), telegraf.Counter)
}
type TestMetricMaker struct {
}
func (tm *TestMetricMaker) Name() string {
return "TestPlugin"
}
func (tm *TestMetricMaker) MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
switch mType {
case telegraf.Untyped:
if m, err := telegraf.NewMetric(measurement, tags, fields, t); err == nil {
return m
}
case telegraf.Counter:
if m, err := telegraf.NewCounterMetric(measurement, tags, fields, t); err == nil {
return m
}
case telegraf.Gauge:
if m, err := telegraf.NewGaugeMetric(measurement, tags, fields, t); err == nil {
return m
}
}
return nil
}

120
agent/agent.go
View File

@ -89,7 +89,7 @@ func panicRecover(input *models.RunningInput) {
trace := make([]byte, 2048)
runtime.Stack(trace, true)
log.Printf("E! FATAL: Input [%s] panicked: %s, Stack:\n%s\n",
input.Name, err, trace)
input.Name(), err, trace)
log.Println("E! PLEASE REPORT THIS PANIC ON GITHUB with " +
"stack trace, configuration, and OS information: " +
"https://github.com/influxdata/telegraf/issues/new")
@ -103,19 +103,18 @@ func (a *Agent) gatherer(
input *models.RunningInput,
interval time.Duration,
metricC chan telegraf.Metric,
) error {
) {
defer panicRecover(input)
ticker := time.NewTicker(interval)
defer ticker.Stop()
for {
var outerr error
acc := NewAccumulator(input.Config, metricC)
acc := NewAccumulator(input, metricC)
acc.SetPrecision(a.Config.Agent.Precision.Duration,
a.Config.Agent.Interval.Duration)
acc.setDefaultTags(a.Config.Tags)
input.SetDebug(a.Config.Agent.Debug)
input.SetDefaultTags(a.Config.Tags)
internal.RandomSleep(a.Config.Agent.CollectionJitter.Duration, shutdown)
@ -123,15 +122,13 @@ func (a *Agent) gatherer(
gatherWithTimeout(shutdown, input, acc, interval)
elapsed := time.Since(start)
if outerr != nil {
return outerr
}
log.Printf("D! Input [%s] gathered metrics, (%s interval) in %s\n",
input.Name, interval, elapsed)
input.Name(), interval, elapsed)
select {
case <-shutdown:
return nil
return
case <-ticker.C:
continue
}
@ -160,13 +157,13 @@ func gatherWithTimeout(
select {
case err := <-done:
if err != nil {
log.Printf("E! ERROR in input [%s]: %s", input.Name, err)
log.Printf("E! ERROR in input [%s]: %s", input.Name(), err)
}
return
case <-ticker.C:
log.Printf("E! ERROR: input [%s] took longer to collect than "+
"collection interval (%s)",
input.Name, timeout)
input.Name(), timeout)
continue
case <-shutdown:
return
@ -194,13 +191,13 @@ func (a *Agent) Test() error {
}()
for _, input := range a.Config.Inputs {
acc := NewAccumulator(input.Config, metricC)
acc.SetTrace(true)
acc := NewAccumulator(input, metricC)
acc.SetPrecision(a.Config.Agent.Precision.Duration,
a.Config.Agent.Interval.Duration)
acc.setDefaultTags(a.Config.Tags)
input.SetTrace(true)
input.SetDefaultTags(a.Config.Tags)
fmt.Printf("* Plugin: %s, Collection 1\n", input.Name)
fmt.Printf("* Plugin: %s, Collection 1\n", input.Name())
if input.Config.Interval != 0 {
fmt.Printf("* Internal: %s\n", input.Config.Interval)
}
@ -214,10 +211,10 @@ func (a *Agent) Test() error {
// Special instructions for some inputs. cpu, for example, needs to be
// run twice in order to return cpu usage percentages.
switch input.Name {
switch input.Name() {
case "cpu", "mongodb", "procstat":
time.Sleep(500 * time.Millisecond)
fmt.Printf("* Plugin: %s, Collection 2\n", input.Name)
fmt.Printf("* Plugin: %s, Collection 2\n", input.Name())
if err := input.Input.Gather(acc); err != nil {
return err
}
@ -250,20 +247,38 @@ func (a *Agent) flush() {
func (a *Agent) flusher(shutdown chan struct{}, metricC chan telegraf.Metric) error {
// Inelegant, but this sleep is to allow the Gather threads to run, so that
// the flusher will flush after metrics are collected.
time.Sleep(time.Millisecond * 200)
ticker := time.NewTicker(a.Config.Agent.FlushInterval.Duration)
time.Sleep(time.Millisecond * 300)
// create an output metric channel and a gorouting that continously passes
// each metric onto the output plugins & aggregators.
outMetricC := make(chan telegraf.Metric, 100)
var wg sync.WaitGroup
wg.Add(1)
go func() {
defer wg.Done()
for {
select {
case <-shutdown:
log.Println("I! Hang on, flushing any cached metrics before shutdown")
a.flush()
return nil
case <-ticker.C:
internal.RandomSleep(a.Config.Agent.FlushJitter.Duration, shutdown)
a.flush()
case m := <-metricC:
for _, agg := range a.Config.Aggregators {
agg.Aggregator.Stop()
}
if len(outMetricC) > 0 {
// keep going until outMetricC is flushed
continue
}
return
case m := <-outMetricC:
// if dropOriginal is set to true, then we will only send this
// metric to the aggregators, not the outputs.
var dropOriginal bool
if !m.IsAggregate() {
for _, agg := range a.Config.Aggregators {
if ok := agg.Apply(copyMetric(m)); ok {
dropOriginal = true
}
}
}
if !dropOriginal {
for i, o := range a.Config.Outputs {
if i == len(a.Config.Outputs)-1 {
o.AddMetric(m)
@ -274,6 +289,31 @@ func (a *Agent) flusher(shutdown chan struct{}, metricC chan telegraf.Metric) er
}
}
}
}()
ticker := time.NewTicker(a.Config.Agent.FlushInterval.Duration)
for {
select {
case <-shutdown:
log.Println("I! Hang on, flushing any cached metrics before shutdown")
// wait for outMetricC to get flushed before flushing outputs
wg.Wait()
a.flush()
return nil
case <-ticker.C:
internal.RandomSleep(a.Config.Agent.FlushJitter.Duration, shutdown)
a.flush()
case metric := <-metricC:
mS := []telegraf.Metric{metric}
for _, processor := range a.Config.Processors {
mS = processor.Apply(mS...)
}
for _, m := range mS {
outMetricC <- m
}
}
}
}
func copyMetric(m telegraf.Metric) telegraf.Metric {
t := time.Time(m.Time())
@ -303,18 +343,18 @@ func (a *Agent) Run(shutdown chan struct{}) error {
// channel shared between all input threads for accumulating metrics
metricC := make(chan telegraf.Metric, 10000)
// Start all ServicePlugins
for _, input := range a.Config.Inputs {
// Start service of any ServicePlugins
switch p := input.Input.(type) {
case telegraf.ServiceInput:
acc := NewAccumulator(input.Config, metricC)
acc := NewAccumulator(input, metricC)
// Service input plugins should set their own precision of their
// metrics.
acc.DisablePrecision()
acc.setDefaultTags(a.Config.Tags)
acc.SetPrecision(time.Nanosecond, 0)
input.SetDefaultTags(a.Config.Tags)
if err := p.Start(acc); err != nil {
log.Printf("E! Service for input %s failed to start, exiting\n%s\n",
input.Name, err.Error())
input.Name(), err.Error())
return err
}
defer p.Stop()
@ -327,6 +367,18 @@ func (a *Agent) Run(shutdown chan struct{}) error {
time.Sleep(time.Duration(i - (time.Now().UnixNano() % i)))
}
// Start all Aggregators
for _, aggregator := range a.Config.Aggregators {
acc := NewAccumulator(aggregator, metricC)
acc.SetPrecision(a.Config.Agent.Precision.Duration,
a.Config.Agent.Interval.Duration)
if err := aggregator.Aggregator.Start(acc); err != nil {
log.Printf("[%s] failed to start, exiting\n%s\n",
aggregator.Name(), err.Error())
return err
}
}
wg.Add(1)
go func() {
defer wg.Done()

16
aggregator.go Normal file
View File

@ -0,0 +1,16 @@
package telegraf
type Aggregator interface {
// SampleConfig returns the default configuration of the Input
SampleConfig() string
// Description returns a one-sentence description on the Input
Description() string
// Apply the metric to the aggregator
Apply(in Metric)
// Start starts the service filter with the given accumulator
Start(acc Accumulator) error
Stop()
}

9
cmd/telegraf/telegraf.go
View File

@ -12,12 +12,13 @@ import (
"github.com/influxdata/telegraf/agent"
"github.com/influxdata/telegraf/internal/config"
_ "github.com/influxdata/telegraf/plugins/aggregators/all"
"github.com/influxdata/telegraf/logger"
"github.com/influxdata/telegraf/plugins/inputs"
_ "github.com/influxdata/telegraf/plugins/inputs/all"
"github.com/influxdata/telegraf/plugins/outputs"
_ "github.com/influxdata/telegraf/plugins/outputs/all"
_ "github.com/influxdata/telegraf/plugins/processors/all"
"github.com/kardianos/service"
)
@ -111,6 +112,8 @@ Examples:
telegraf -config telegraf.conf -input-filter cpu:mem -output-filter influxdb
`
var logger service.Logger
var stop chan struct{}
var srvc service.Service
@ -306,6 +309,10 @@ func main() {
if err != nil {
log.Fatal(err)
}
logger, err = s.Logger(nil)
if err != nil {
log.Fatal(err)
}
// Handle the -service flag here to prevent any issues with tooling that
// may not have an interactive session, e.g. installing from Ansible.
if *fService != "" {

247
internal/config/config.go
View File

@ -11,15 +11,18 @@ import (
"regexp"
"runtime"
"sort"
"strconv"
"strings"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/internal/models"
"github.com/influxdata/telegraf/plugins/aggregators"
"github.com/influxdata/telegraf/plugins/inputs"
"github.com/influxdata/telegraf/plugins/outputs"
"github.com/influxdata/telegraf/plugins/parsers"
"github.com/influxdata/telegraf/plugins/processors"
"github.com/influxdata/telegraf/plugins/serializers"
"github.com/influxdata/config"
@ -50,6 +53,8 @@ type Config struct {
Agent *AgentConfig
Inputs []*models.RunningInput
Outputs []*models.RunningOutput
Processors []*models.RunningProcessor
Aggregators []*models.RunningAggregator
}
func NewConfig() *Config {
@ -64,6 +69,7 @@ func NewConfig() *Config {
Tags: make(map[string]string),
Inputs: make([]*models.RunningInput, 0),
Outputs: make([]*models.RunningOutput, 0),
Processors: make([]*models.RunningProcessor, 0),
InputFilters: make([]string, 0),
OutputFilters: make([]string, 0),
}
@ -138,7 +144,7 @@ type AgentConfig struct {
func (c *Config) InputNames() []string {
var name []string
for _, input := range c.Inputs {
name = append(name, input.Name)
name = append(name, input.Name())
}
return name
}
@ -248,6 +254,20 @@ var header = `# Telegraf Configuration
###############################################################################
`
var processorHeader = `
###############################################################################
# PROCESSOR PLUGINS #
###############################################################################
`
var aggregatorHeader = `
###############################################################################
# AGGREGATOR PLUGINS #
###############################################################################
`
var inputHeader = `
###############################################################################
@ -266,6 +286,7 @@ var serviceInputHeader = `
func PrintSampleConfig(inputFilters []string, outputFilters []string) {
fmt.Printf(header)
// print output plugins
if len(outputFilters) != 0 {
printFilteredOutputs(outputFilters, false)
} else {
@ -281,6 +302,25 @@ func PrintSampleConfig(inputFilters []string, outputFilters []string) {
printFilteredOutputs(pnames, true)
}
// print processor plugins
fmt.Printf(processorHeader)
pnames := []string{}
for pname := range processors.Processors {
pnames = append(pnames, pname)
}
sort.Strings(pnames)
printFilteredProcessors(pnames, true)
// pring aggregator plugins
fmt.Printf(aggregatorHeader)
pnames = []string{}
for pname := range aggregators.Aggregators {
pnames = append(pnames, pname)
}
sort.Strings(pnames)
printFilteredAggregators(pnames, true)
// print input plugins
fmt.Printf(inputHeader)
if len(inputFilters) != 0 {
printFilteredInputs(inputFilters, false)
@ -298,6 +338,42 @@ func PrintSampleConfig(inputFilters []string, outputFilters []string) {
}
}
func printFilteredProcessors(processorFilters []string, commented bool) {
// Filter processors
var pnames []string
for pname := range processors.Processors {
if sliceContains(pname, processorFilters) {
pnames = append(pnames, pname)
}
}
sort.Strings(pnames)
// Print Outputs
for _, pname := range pnames {
creator := processors.Processors[pname]
output := creator()
printConfig(pname, output, "processors", commented)
}
}
func printFilteredAggregators(aggregatorFilters []string, commented bool) {
// Filter outputs
var anames []string
for aname := range aggregators.Aggregators {
if sliceContains(aname, aggregatorFilters) {
anames = append(anames, aname)
}
}
sort.Strings(anames)
// Print Outputs
for _, aname := range anames {
creator := aggregators.Aggregators[aname]
output := creator()
printConfig(aname, output, "aggregators", commented)
}
}
func printFilteredInputs(inputFilters []string, commented bool) {
// Filter inputs
var pnames []string
@ -507,6 +583,7 @@ func (c *Config) LoadConfig(path string) error {
case "outputs":
for pluginName, pluginVal := range subTable.Fields {
switch pluginSubTable := pluginVal.(type) {
// legacy [outputs.influxdb] support
case *ast.Table:
if err = c.addOutput(pluginName, pluginSubTable); err != nil {
return fmt.Errorf("Error parsing %s, %s", path, err)
@ -525,6 +602,7 @@ func (c *Config) LoadConfig(path string) error {
case "inputs", "plugins":
for pluginName, pluginVal := range subTable.Fields {
switch pluginSubTable := pluginVal.(type) {
// legacy [inputs.cpu] support
case *ast.Table:
if err = c.addInput(pluginName, pluginSubTable); err != nil {
return fmt.Errorf("Error parsing %s, %s", path, err)
@ -540,6 +618,34 @@ func (c *Config) LoadConfig(path string) error {
pluginName, path)
}
}
case "processors":
for pluginName, pluginVal := range subTable.Fields {
switch pluginSubTable := pluginVal.(type) {
case []*ast.Table:
for _, t := range pluginSubTable {
if err = c.addProcessor(pluginName, t); err != nil {
return fmt.Errorf("Error parsing %s, %s", path, err)
}
}
default:
return fmt.Errorf("Unsupported config format: %s, file %s",
pluginName, path)
}
}
case "aggregators":
for pluginName, pluginVal := range subTable.Fields {
switch pluginSubTable := pluginVal.(type) {
case []*ast.Table:
for _, t := range pluginSubTable {
if err = c.addAggregator(pluginName, t); err != nil {
return fmt.Errorf("Error parsing %s, %s", path, err)
}
}
default:
return fmt.Errorf("Unsupported config format: %s, file %s",
pluginName, path)
}
}
// Assume it's an input input for legacy config file support if no other
// identifiers are present
default:
@ -580,6 +686,57 @@ func parseFile(fpath string) (*ast.Table, error) {
return toml.Parse(contents)
}
func (c *Config) addAggregator(name string, table *ast.Table) error {
creator, ok := aggregators.Aggregators[name]
if !ok {
return fmt.Errorf("Undefined but requested aggregator: %s", name)
}
aggregator := creator()
aggregatorConfig, err := buildAggregator(name, table)
if err != nil {
return err
}
if err := config.UnmarshalTable(table, aggregator); err != nil {
return err
}
rf := &models.RunningAggregator{
Aggregator: aggregator,
Config: aggregatorConfig,
}
c.Aggregators = append(c.Aggregators, rf)
return nil
}
func (c *Config) addProcessor(name string, table *ast.Table) error {
creator, ok := processors.Processors[name]
if !ok {
return fmt.Errorf("Undefined but requested processor: %s", name)
}
processor := creator()
processorConfig, err := buildProcessor(name, table)
if err != nil {
return err
}
if err := config.UnmarshalTable(table, processor); err != nil {
return err
}
rf := &models.RunningProcessor{
Name: name,
Processor: processor,
Config: processorConfig,
}
c.Processors = append(c.Processors, rf)
return nil
}
func (c *Config) addOutput(name string, table *ast.Table) error {
if len(c.OutputFilters) > 0 && !sliceContains(name, c.OutputFilters) {
return nil
@ -652,7 +809,6 @@ func (c *Config) addInput(name string, table *ast.Table) error {
}
rp := &models.RunningInput{
Name: name,
Input: input,
Config: pluginConfig,
}
@ -660,6 +816,93 @@ func (c *Config) addInput(name string, table *ast.Table) error {
return nil
}
// buildAggregator TODO doc
func buildAggregator(name string, tbl *ast.Table) (*models.AggregatorConfig, error) {
conf := &models.AggregatorConfig{Name: name}
unsupportedFields := []string{"tagexclude", "taginclude"}
for _, field := range unsupportedFields {
if _, ok := tbl.Fields[field]; ok {
// TODO raise error because field is not supported
}
}
if node, ok := tbl.Fields["drop_original"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if b, ok := kv.Value.(*ast.Boolean); ok {
var err error
conf.DropOriginal, err = strconv.ParseBool(b.Value)
if err != nil {
log.Printf("Error parsing boolean value for %s: %s\n", name, err)
}
}
}
}
if node, ok := tbl.Fields["name_prefix"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
conf.MeasurementPrefix = str.Value
}
}
}
if node, ok := tbl.Fields["name_suffix"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
conf.MeasurementSuffix = str.Value
}
}
}
if node, ok := tbl.Fields["name_override"]; ok {
if kv, ok := node.(*ast.KeyValue); ok {
if str, ok := kv.Value.(*ast.String); ok {
conf.NameOverride = str.Value
}
}
}
conf.Tags = make(map[string]string)
if node, ok := tbl.Fields["tags"]; ok {
if subtbl, ok := node.(*ast.Table); ok {
if err := config.UnmarshalTable(subtbl, conf.Tags); err != nil {
log.Printf("Could not parse tags for input %s\n", name)
}
}
}
delete(tbl.Fields, "drop_original")
delete(tbl.Fields, "name_prefix")
delete(tbl.Fields, "name_suffix")
delete(tbl.Fields, "name_override")
delete(tbl.Fields, "tags")
var err error
conf.Filter, err = buildFilter(tbl)
if err != nil {
return conf, err
}
return conf, nil
}
// buildProcessor TODO doc
func buildProcessor(name string, tbl *ast.Table) (*models.ProcessorConfig, error) {
conf := &models.ProcessorConfig{Name: name}
unsupportedFields := []string{"pass", "fieldpass", "drop", "fielddrop",
"tagexclude", "taginclude"}
for _, field := range unsupportedFields {
if _, ok := tbl.Fields[field]; ok {
// TODO raise error because field is not supported
}
}
var err error
conf.Filter, err = buildFilter(tbl)
if err != nil {
return conf, err
}
return conf, nil
}
// buildFilter builds a Filter
// (tagpass/tagdrop/namepass/namedrop/fieldpass/fielddrop) to
// be inserted into the models.OutputConfig/models.InputConfig

2
internal/models/filter.go
View File

@ -96,7 +96,7 @@ func (f *Filter) Compile() error {
// Apply applies the filter to the given measurement name, fields map, and
// tags map. It will return false if the metric should be "filtered out", and
// true if the metric should "pass".
// It will modify tags in-place if they need to be deleted.
// It will modify tags & fields in-place if they need to be deleted.
func (f *Filter) Apply(
measurement string,
fields map[string]interface{},

150
internal/models/makemetric.go Normal file
View File

@ -0,0 +1,150 @@
package models
import (
"log"
"math"
"time"
"github.com/influxdata/telegraf"
)
// makemetric is used by both RunningAggregator & RunningInput
// to make metrics.
// nameOverride: override the name of the measurement being made.
// namePrefix: add this prefix to each measurement name.
// nameSuffix: add this suffix to each measurement name.
// pluginTags: these are tags that are specific to this plugin.
// daemonTags: these are daemon-wide global tags, and get applied after pluginTags.
// filter: this is a filter to apply to each metric being made.
// applyFilter: if false, the above filter is not applied to each metric.
// This is used by Aggregators, because aggregators use filters
// on incoming metrics instead of on created metrics.
func makemetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
nameOverride string,
namePrefix string,
nameSuffix string,
pluginTags map[string]string,
daemonTags map[string]string,
filter Filter,
applyFilter bool,
debug bool,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
if len(fields) == 0 || len(measurement) == 0 {
return nil
}
if tags == nil {
tags = make(map[string]string)
}
// Override measurement name if set
if len(nameOverride) != 0 {
measurement = nameOverride
}
// Apply measurement prefix and suffix if set
if len(namePrefix) != 0 {
measurement = namePrefix + measurement
}
if len(nameSuffix) != 0 {
measurement = measurement + nameSuffix
}
// Apply plugin-wide tags if set
for k, v := range pluginTags {
if _, ok := tags[k]; !ok {
tags[k] = v
}
}
// Apply daemon-wide tags if set
for k, v := range daemonTags {
if _, ok := tags[k]; !ok {
tags[k] = v
}
}
// Apply the metric filter(s)
// for aggregators, the filter does not get applied when the metric is made.
// instead, the filter is applied to metric incoming into the plugin.
// ie, it gets applied in the RunningAggregator.Apply function.
if applyFilter {
if ok := filter.Apply(measurement, fields, tags); !ok {
return nil
}
}
for k, v := range fields {
// Validate uint64 and float64 fields
// convert all int & uint types to int64
switch val := v.(type) {
case uint:
fields[k] = int64(val)
continue
case uint8:
fields[k] = int64(val)
continue
case uint16:
fields[k] = int64(val)
continue
case uint32:
fields[k] = int64(val)
continue
case int:
fields[k] = int64(val)
continue
case int8:
fields[k] = int64(val)
continue
case int16:
fields[k] = int64(val)
continue
case int32:
fields[k] = int64(val)
continue
case uint64:
// InfluxDB does not support writing uint64
if val < uint64(9223372036854775808) {
fields[k] = int64(val)
} else {
fields[k] = int64(9223372036854775807)
}
continue
case float32:
fields[k] = float64(val)
continue
case float64:
// NaNs are invalid values in influxdb, skip measurement
if math.IsNaN(val) || math.IsInf(val, 0) {
if debug {
log.Printf("Measurement [%s] field [%s] has a NaN or Inf "+
"field, skipping",
measurement, k)
}
delete(fields, k)
continue
}
}
fields[k] = v
}
var m telegraf.Metric
var err error
switch mType {
case telegraf.Counter:
m, err = telegraf.NewCounterMetric(measurement, tags, fields, t)
case telegraf.Gauge:
m, err = telegraf.NewGaugeMetric(measurement, tags, fields, t)
default:
m, err = telegraf.NewMetric(measurement, tags, fields, t)
}
if err != nil {
log.Printf("Error adding point [%s]: %s\n", measurement, err.Error())
return nil
}
return m
}

79
internal/models/running_aggregator.go Normal file
View File

@ -0,0 +1,79 @@
package models
import (
"time"
"github.com/influxdata/telegraf"
)
type RunningAggregator struct {
Aggregator telegraf.Aggregator
Config *AggregatorConfig
}
// AggregatorConfig containing configuration parameters for the running
// aggregator plugin.
type AggregatorConfig struct {
Name string
DropOriginal bool
NameOverride string
MeasurementPrefix string
MeasurementSuffix string
Tags map[string]string
Filter Filter
}
func (r *RunningAggregator) Name() string {
return "aggregators." + r.Config.Name
}
func (r *RunningAggregator) MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
m := makemetric(
measurement,
fields,
tags,
r.Config.NameOverride,
r.Config.MeasurementPrefix,
r.Config.MeasurementSuffix,
r.Config.Tags,
nil,
r.Config.Filter,
false,
false,
mType,
t,
)
m.SetAggregate(true)
return m
}
// Apply applies the given metric to the aggregator.
// Before applying to the plugin, it will run any defined filters on the metric.
// Apply returns true if the original metric should be dropped.
func (r *RunningAggregator) Apply(in telegraf.Metric) bool {
if r.Config.Filter.IsActive() {
// check if the aggregator should apply this metric
name := in.Name()
fields := in.Fields()
tags := in.Tags()
t := in.Time()
if ok := r.Config.Filter.Apply(name, fields, tags); !ok {
// aggregator should not apply this metric
return false
}
in, _ = telegraf.NewMetric(name, tags, fields, t)
}
r.Aggregator.Apply(in)
return r.Config.DropOriginal
}

150
internal/models/running_aggregator_test.go Normal file
View File

@ -0,0 +1,150 @@
package models
import (
"fmt"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/stretchr/testify/assert"
)
func TestApply(t *testing.T) {
a := &TestAggregator{}
ra := RunningAggregator{
Config: &AggregatorConfig{
Name: "TestRunningAggregator",
Filter: Filter{
NamePass: []string{"*"},
},
},
Aggregator: a,
}
assert.NoError(t, ra.Config.Filter.Compile())
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now(),
)
assert.False(t, ra.Apply(m))
assert.Equal(t, int64(101), a.sum)
}
func TestApplyDropOriginal(t *testing.T) {
ra := RunningAggregator{
Config: &AggregatorConfig{
Name: "TestRunningAggregator",
Filter: Filter{
NamePass: []string{"RI*"},
},
DropOriginal: true,
},
Aggregator: &TestAggregator{},
}
assert.NoError(t, ra.Config.Filter.Compile())
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now(),
)
assert.True(t, ra.Apply(m))
// this metric name doesn't match the filter, so Apply will return false
m2 := ra.MakeMetric(
"foobar",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
time.Now(),
)
assert.False(t, ra.Apply(m2))
}
// make an untyped, counter, & gauge metric
func TestMakeMetricA(t *testing.T) {
now := time.Now()
ra := RunningAggregator{
Config: &AggregatorConfig{
Name: "TestRunningAggregator",
},
}
assert.Equal(t, "aggregators.TestRunningAggregator", ra.Name())
m := ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
assert.Equal(
t,
m.Type(),
telegraf.Untyped,
)
m = ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Counter,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
assert.Equal(
t,
m.Type(),
telegraf.Counter,
)
m = ra.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Gauge,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
assert.Equal(
t,
m.Type(),
telegraf.Gauge,
)
}
type TestAggregator struct {
sum int64
}
func (t *TestAggregator) Description() string { return "" }
func (t *TestAggregator) SampleConfig() string { return "" }
func (t *TestAggregator) Start(acc telegraf.Accumulator) error { return nil }
func (t *TestAggregator) Stop() {}
func (t *TestAggregator) Apply(in telegraf.Metric) {
for _, v := range in.Fields() {
if vi, ok := v.(int64); ok {
t.sum += vi
}
}
}

62
internal/models/running_input.go
View File

@ -1,15 +1,19 @@
package models
import (
"fmt"
"time"
"github.com/influxdata/telegraf"
)
type RunningInput struct {
Name string
Input telegraf.Input
Config *InputConfig
trace bool
debug bool
defaultTags map[string]string
}
// InputConfig containing a name, interval, and filter
@ -22,3 +26,59 @@ type InputConfig struct {
Filter Filter
Interval time.Duration
}
func (r *RunningInput) Name() string {
return "inputs." + r.Config.Name
}
// MakeMetric either returns a metric, or returns nil if the metric doesn't
// need to be created (because of filtering, an error, etc.)
func (r *RunningInput) MakeMetric(
measurement string,
fields map[string]interface{},
tags map[string]string,
mType telegraf.ValueType,
t time.Time,
) telegraf.Metric {
m := makemetric(
measurement,
fields,
tags,
r.Config.NameOverride,
r.Config.MeasurementPrefix,
r.Config.MeasurementSuffix,
r.Config.Tags,
r.defaultTags,
r.Config.Filter,
true,
r.debug,
mType,
t,
)
if r.trace && m != nil {
fmt.Println("> " + m.String())
}
return m
}
func (r *RunningInput) Debug() bool {
return r.debug
}
func (r *RunningInput) SetDebug(debug bool) {
r.debug = debug
}
func (r *RunningInput) Trace() bool {
return r.trace
}
func (r *RunningInput) SetTrace(trace bool) {
r.trace = trace
}
func (r *RunningInput) SetDefaultTags(tags map[string]string) {
r.defaultTags = tags
}

326
internal/models/running_input_test.go Normal file
View File

@ -0,0 +1,326 @@
package models
import (
"fmt"
"math"
"testing"
"time"
"github.com/influxdata/telegraf"
"github.com/stretchr/testify/assert"
)
func TestMakeMetricNoFields(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
},
}
m := ri.MakeMetric(
"RITest",
map[string]interface{}{},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Nil(t, m)
}
// make an untyped, counter, & gauge metric
func TestMakeMetric(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
},
}
ri.SetDebug(true)
assert.Equal(t, true, ri.Debug())
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
assert.Equal(t, "inputs.TestRunningInput", ri.Name())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
assert.Equal(
t,
m.Type(),
telegraf.Untyped,
)
m = ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Counter,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
assert.Equal(
t,
m.Type(),
telegraf.Counter,
)
m = ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Gauge,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
assert.Equal(
t,
m.Type(),
telegraf.Gauge,
)
}
func TestMakeMetricWithPluginTags(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
Tags: map[string]string{
"foo": "bar",
},
},
}
ri.SetDebug(true)
assert.Equal(t, true, ri.Debug())
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
nil,
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest,foo=bar value=101i %d", now.UnixNano()),
)
}
func TestMakeMetricFilteredOut(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
Tags: map[string]string{
"foo": "bar",
},
Filter: Filter{NamePass: []string{"foobar"}},
},
}
ri.SetDebug(true)
assert.Equal(t, true, ri.Debug())
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
assert.NoError(t, ri.Config.Filter.Compile())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
nil,
telegraf.Untyped,
now,
)
assert.Nil(t, m)
}
func TestMakeMetricWithDaemonTags(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
},
}
ri.SetDefaultTags(map[string]string{
"foo": "bar",
})
ri.SetDebug(true)
assert.Equal(t, true, ri.Debug())
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest,foo=bar value=101i %d", now.UnixNano()),
)
}
// make an untyped, counter, & gauge metric
func TestMakeMetricInfFields(t *testing.T) {
inf := math.Inf(1)
ninf := math.Inf(-1)
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
},
}
ri.SetDebug(true)
assert.Equal(t, true, ri.Debug())
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{
"value": int(101),
"inf": inf,
"ninf": ninf,
},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest value=101i %d", now.UnixNano()),
)
}
func TestMakeMetricAllFieldTypes(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
},
}
ri.SetDebug(true)
assert.Equal(t, true, ri.Debug())
ri.SetTrace(true)
assert.Equal(t, true, ri.Trace())
m := ri.MakeMetric(
"RITest",
map[string]interface{}{
"a": int(10),
"b": int8(10),
"c": int16(10),
"d": int32(10),
"e": uint(10),
"f": uint8(10),
"g": uint16(10),
"h": uint32(10),
"i": uint64(10),
"j": float32(10),
"k": uint64(9223372036854775810),
"l": "foobar",
"m": true,
},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
fmt.Sprintf("RITest a=10i,b=10i,c=10i,d=10i,e=10i,f=10i,g=10i,h=10i,i=10i,j=10,k=9223372036854775807i,l=\"foobar\",m=true %d", now.UnixNano()),
m.String(),
)
}
func TestMakeMetricNameOverride(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
NameOverride: "foobar",
},
}
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("foobar value=101i %d", now.UnixNano()),
)
}
func TestMakeMetricNamePrefix(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
MeasurementPrefix: "foobar_",
},
}
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("foobar_RITest value=101i %d", now.UnixNano()),
)
}
func TestMakeMetricNameSuffix(t *testing.T) {
now := time.Now()
ri := RunningInput{
Config: &InputConfig{
Name: "TestRunningInput",
MeasurementSuffix: "_foobar",
},
}
m := ri.MakeMetric(
"RITest",
map[string]interface{}{"value": int(101)},
map[string]string{},
telegraf.Untyped,
now,
)
assert.Equal(
t,
m.String(),
fmt.Sprintf("RITest_foobar value=101i %d", now.UnixNano()),
)
}

4
internal/models/running_output_test.go
View File

@ -132,7 +132,6 @@ func TestRunningOutput_PassFilter(t *testing.T) {
func TestRunningOutput_TagIncludeNoMatch(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{
TagInclude: []string{"nothing*"},
},
}
@ -154,7 +153,6 @@ func TestRunningOutput_TagIncludeNoMatch(t *testing.T) {
func TestRunningOutput_TagExcludeMatch(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{
TagExclude: []string{"tag*"},
},
}
@ -176,7 +174,6 @@ func TestRunningOutput_TagExcludeMatch(t *testing.T) {
func TestRunningOutput_TagExcludeNoMatch(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{
TagExclude: []string{"nothing*"},
},
}
@ -198,7 +195,6 @@ func TestRunningOutput_TagExcludeNoMatch(t *testing.T) {
func TestRunningOutput_TagIncludeMatch(t *testing.T) {
conf := &OutputConfig{
Filter: Filter{
TagInclude: []string{"tag*"},
},
}

37
internal/models/running_processor.go Normal file
View File

@ -0,0 +1,37 @@
package models
import (
"github.com/influxdata/telegraf"
)
type RunningProcessor struct {
Name string
Processor telegraf.Processor
Config *ProcessorConfig
}
// FilterConfig containing a name and filter
type ProcessorConfig struct {
Name string
Filter Filter
}
func (rp *RunningProcessor) Apply(in ...telegraf.Metric) []telegraf.Metric {
ret := []telegraf.Metric{}
for _, metric := range in {
if rp.Config.Filter.IsActive() {
// check if the filter should be applied to this metric
if ok := rp.Config.Filter.Apply(metric.Name(), metric.Fields(), metric.Tags()); !ok {
// this means filter should not be applied
ret = append(ret, metric)
continue
}
}
// This metric should pass through the filter, so call the filter Apply
// function and append results to the output slice.
ret = append(ret, rp.Processor.Apply(metric)...)
}
return ret
}

117
internal/models/running_processor_test.go Normal file
View File

@ -0,0 +1,117 @@
package models
import (
"testing"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/testutil"
"github.com/stretchr/testify/assert"
)
type TestProcessor struct {
}
func (f *TestProcessor) SampleConfig() string { return "" }
func (f *TestProcessor) Description() string { return "" }
// Apply renames:
// "foo" to "fuz"
// "bar" to "baz"
// And it also drops measurements named "dropme"
func (f *TestProcessor) Apply(in ...telegraf.Metric) []telegraf.Metric {
out := make([]telegraf.Metric, 0)
for _, m := range in {
switch m.Name() {
case "foo":
out = append(out, testutil.TestMetric(1, "fuz"))
case "bar":
out = append(out, testutil.TestMetric(1, "baz"))
case "dropme":
// drop the metric!
default:
out = append(out, m)
}
}
return out
}
func NewTestRunningProcessor() *RunningProcessor {
out := &RunningProcessor{
Name: "test",
Processor: &TestProcessor{},
Config: &ProcessorConfig{Filter: Filter{}},
}
return out
}
func TestRunningProcessor(t *testing.T) {
inmetrics := []telegraf.Metric{
testutil.TestMetric(1, "foo"),
testutil.TestMetric(1, "bar"),
testutil.TestMetric(1, "baz"),
}
expectedNames := []string{
"fuz",
"baz",
"baz",
}
rfp := NewTestRunningProcessor()
filteredMetrics := rfp.Apply(inmetrics...)
actualNames := []string{
filteredMetrics[0].Name(),
filteredMetrics[1].Name(),
filteredMetrics[2].Name(),
}
assert.Equal(t, expectedNames, actualNames)
}
func TestRunningProcessor_WithNameDrop(t *testing.T) {
inmetrics := []telegraf.Metric{
testutil.TestMetric(1, "foo"),
testutil.TestMetric(1, "bar"),
testutil.TestMetric(1, "baz"),
}
expectedNames := []string{
"foo",
"baz",
"baz",
}
rfp := NewTestRunningProcessor()
rfp.Config.Filter.NameDrop = []string{"foo"}
assert.NoError(t, rfp.Config.Filter.Compile())
filteredMetrics := rfp.Apply(inmetrics...)
actualNames := []string{
filteredMetrics[0].Name(),
filteredMetrics[1].Name(),
filteredMetrics[2].Name(),
}
assert.Equal(t, expectedNames, actualNames)
}
func TestRunningProcessor_DroppedMetric(t *testing.T) {
inmetrics := []telegraf.Metric{
testutil.TestMetric(1, "dropme"),
testutil.TestMetric(1, "foo"),
testutil.TestMetric(1, "bar"),
}
expectedNames := []string{
"fuz",
"baz",
}
rfp := NewTestRunningProcessor()
filteredMetrics := rfp.Apply(inmetrics...)
actualNames := []string{
filteredMetrics[0].Name(),
filteredMetrics[1].Name(),
}
assert.Equal(t, expectedNames, actualNames)
}

34
metric.go
View File

@ -4,6 +4,7 @@ import (
"time"
"github.com/influxdata/influxdb/client/v2"
"github.com/influxdata/influxdb/models"
)
// ValueType is an enumeration of metric types that represent a simple value.
@ -33,6 +34,9 @@ type Metric interface {
// UnixNano returns the unix nano time of the metric
UnixNano() int64
// HashID returns a non-cryptographic hash of the metric (name + tags)
HashID() uint64
// Fields returns the fields for the metric
Fields() map[string]interface{}
@ -44,13 +48,21 @@ type Metric interface {
// Point returns a influxdb client.Point object
Point() *client.Point
// SetAggregate sets the metric's aggregate status
// This is so that aggregate metrics don't get re-sent to aggregator plugins
SetAggregate(bool)
// IsAggregate returns true if the metric is an aggregate
IsAggregate() bool
}
// metric is a wrapper of the influxdb client.Point struct
type metric struct {
pt *client.Point
pt models.Point
mType ValueType
isaggregate bool
}
// NewMetric returns an untyped metric.
@ -60,7 +72,7 @@ func NewMetric(
fields map[string]interface{},
t time.Time,
) (Metric, error) {
pt, err := client.NewPoint(name, tags, fields, t)
pt, err := models.NewPoint(name, tags, fields, t)
if err != nil {
return nil, err
}
@ -79,7 +91,7 @@ func NewGaugeMetric(
fields map[string]interface{},
t time.Time,
) (Metric, error) {
pt, err := client.NewPoint(name, tags, fields, t)
pt, err := models.NewPoint(name, tags, fields, t)
if err != nil {
return nil, err
}
@ -98,7 +110,7 @@ func NewCounterMetric(
fields map[string]interface{},
t time.Time,
) (Metric, error) {
pt, err := client.NewPoint(name, tags, fields, t)
pt, err := models.NewPoint(name, tags, fields, t)
if err != nil {
return nil, err
}
@ -124,6 +136,10 @@ func (m *metric) Type() ValueType {
return m.mType
}
func (m *metric) HashID() uint64 {
return m.pt.HashID()
}
func (m *metric) UnixNano() int64 {
return m.pt.UnixNano()
}
@ -141,5 +157,13 @@ func (m *metric) PrecisionString(precison string) string {
}
func (m *metric) Point() *client.Point {
return m.pt
return client.NewPointFrom(m.pt)
}
func (m *metric) IsAggregate() bool {
return m.isaggregate
}
func (m *metric) SetAggregate(b bool) {
m.isaggregate = b
}

5
plugins/aggregators/all/all.go Normal file
View File

@ -0,0 +1,5 @@
package all
import (
_ "github.com/influxdata/telegraf/plugins/aggregators/minmax"
)

192
plugins/aggregators/minmax/minmax.go Normal file
View File

@ -0,0 +1,192 @@
package minmax
import (
"sync"
"time"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/plugins/aggregators"
)
type MinMax struct {
Period internal.Duration
// metrics waiting to be processed
metrics chan telegraf.Metric
shutdown chan struct{}
wg sync.WaitGroup
// caches for metric fields, names, and tags
fieldCache map[uint64]map[string]minmax
nameCache map[uint64]string
tagCache map[uint64]map[string]string
acc telegraf.Accumulator
}
type minmax struct {
min interface{}
max interface{}
}
var sampleConfig = `
## TODO doc
period = "30s"
`
func (m *MinMax) SampleConfig() string {
return sampleConfig
}
func (m *MinMax) Description() string {
return "Keep the aggregate min/max of each metric passing through."
}
func (m *MinMax) Apply(in telegraf.Metric) {
m.metrics <- in
}
func (m *MinMax) apply(in telegraf.Metric) {
id := in.HashID()
if _, ok := m.nameCache[id]; !ok {
// hit an uncached metric, create caches for first time:
m.nameCache[id] = in.Name()
m.tagCache[id] = in.Tags()
m.fieldCache[id] = make(map[string]minmax)
for k, v := range in.Fields() {
m.fieldCache[id][k] = minmax{
min: v,
max: v,
}
}
} else {
for k, v := range in.Fields() {
cmpmin := compare(m.fieldCache[id][k].min, v)
cmpmax := compare(m.fieldCache[id][k].max, v)
if cmpmin == 1 {
tmp := m.fieldCache[id][k]
tmp.min = v
m.fieldCache[id][k] = tmp
}
if cmpmax == -1 {
tmp := m.fieldCache[id][k]
tmp.max = v
m.fieldCache[id][k] = tmp
}
}
}
}
func (m *MinMax) Start(acc telegraf.Accumulator) error {
m.metrics = make(chan telegraf.Metric, 10)
m.shutdown = make(chan struct{})
m.clearCache()
m.acc = acc
m.wg.Add(1)
if m.Period.Duration > 0 {
go m.periodHandler()
} else {
go m.continuousHandler()
}
return nil
}
func (m *MinMax) Stop() {
close(m.shutdown)
m.wg.Wait()
}
func (m *MinMax) addfields(id uint64) {
fields := map[string]interface{}{}
for k, v := range m.fieldCache[id] {
fields[k+"_min"] = v.min
fields[k+"_max"] = v.max
}
m.acc.AddFields(m.nameCache[id], fields, m.tagCache[id])
}
func (m *MinMax) clearCache() {
m.fieldCache = make(map[uint64]map[string]minmax)
m.nameCache = make(map[uint64]string)
m.tagCache = make(map[uint64]map[string]string)
}
// periodHandler only adds the aggregate metrics on the configured Period.
// thus if telegraf's collection interval is 10s, and period is 30s, there
// will only be one aggregate sent every 3 metrics.
func (m *MinMax) periodHandler() {
// TODO make this sleep less of a hack!
time.Sleep(time.Millisecond * 200)
defer m.wg.Done()
ticker := time.NewTicker(m.Period.Duration)
defer ticker.Stop()
for {
select {
case in := <-m.metrics:
m.apply(in)
case <-m.shutdown:
if len(m.metrics) > 0 {
continue
}
return
case <-ticker.C:
for id, _ := range m.nameCache {
m.addfields(id)
}
m.clearCache()
}
}
}
// continuousHandler sends one metric for every metric that passes through it.
func (m *MinMax) continuousHandler() {
defer m.wg.Done()
for {
select {
case in := <-m.metrics:
m.apply(in)
m.addfields(in.HashID())
case <-m.shutdown:
if len(m.metrics) > 0 {
continue
}
return
}
}
}
func compare(a, b interface{}) int {
switch at := a.(type) {
case int64:
if bt, ok := b.(int64); ok {
if at < bt {
return -1
} else if at > bt {
return 1
}
return 0
} else {
return 0
}
case float64:
if bt, ok := b.(float64); ok {
if at < bt {
return -1
} else if at > bt {
return 1
}
return 0
} else {
return 0
}
default:
return 0
}
}
func init() {
aggregators.Add("minmax", func() telegraf.Aggregator {
return &MinMax{}
})
}

51
plugins/aggregators/minmax/minmax_test.go Normal file
View File

@ -0,0 +1,51 @@
package minmax
import (
"testing"
"time"
"github.com/influxdata/telegraf"
)
func BenchmarkApply(b *testing.B) {
minmax := MinMax{}
minmax.clearCache()
m1, _ := telegraf.NewMetric("m1",
map[string]string{"foo": "bar"},
map[string]interface{}{
"a": int64(1),
"b": int64(1),
"c": int64(1),
"d": int64(1),
"e": int64(1),
"f": float64(2),
"g": float64(2),
"h": float64(2),
"i": float64(2),
"j": float64(3),
},
time.Now(),
)
m2, _ := telegraf.NewMetric("m1",
map[string]string{"foo": "bar"},
map[string]interface{}{
"a": int64(3),
"b": int64(3),
"c": int64(3),
"d": int64(3),
"e": int64(3),
"f": float64(1),
"g": float64(1),
"h": float64(1),
"i": float64(1),
"j": float64(1),
},
time.Now(),
)
for n := 0; n < b.N; n++ {
minmax.apply(m1)
minmax.apply(m2)
}
}

11
plugins/aggregators/registry.go Normal file
View File

@ -0,0 +1,11 @@
package aggregators
import "github.com/influxdata/telegraf"
type Creator func() telegraf.Aggregator
var Aggregators = map[string]Creator{}
func Add(name string, creator Creator) {
Aggregators[name] = creator
}

6
plugins/inputs/http_listener/http_listener_test.go
View File

@ -99,14 +99,14 @@ func TestWriteHTTPHighTraffic(t *testing.T) {
var wg sync.WaitGroup
for i := 0; i < 10; i++ {
wg.Add(1)
go func() {
go func(innerwg *sync.WaitGroup) {
defer innerwg.Done()
for i := 0; i < 500; i++ {
resp, err := http.Post("http://localhost:8286/write?db=mydb", "", bytes.NewBuffer([]byte(testMsgs)))
require.NoError(t, err)
require.EqualValues(t, 204, resp.StatusCode)
}
wg.Done()
}()
}(&wg)
}
wg.Wait()

1
plugins/inputs/postgresql_extensible/postgresql_extensible.go
View File

@ -29,6 +29,7 @@ type Postgresql struct {
Tagvalue string
Measurement string
}
Debug bool
}
type query []struct {

5
plugins/processors/all/all.go Normal file
View File

@ -0,0 +1,5 @@
package all
import (
_ "github.com/influxdata/telegraf/plugins/processors/printer"
)

35
plugins/processors/printer/printer.go Normal file
View File

@ -0,0 +1,35 @@
package printer
import (
"fmt"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/plugins/processors"
)
type Printer struct {
}
var sampleConfig = `
`
func (p *Printer) SampleConfig() string {
return sampleConfig
}
func (p *Printer) Description() string {
return "Print all metrics that pass through this filter."
}
func (p *Printer) Apply(in ...telegraf.Metric) []telegraf.Metric {
for _, metric := range in {
fmt.Println(metric.String())
}
return in
}
func init() {
processors.Add("printer", func() telegraf.Processor {
return &Printer{}
})
}

0
plugins/processors/printer/printer_test.go Normal file
View File

11
plugins/processors/registry.go Normal file
View File

@ -0,0 +1,11 @@
package processors
import "github.com/influxdata/telegraf"
type Creator func() telegraf.Processor
var Processors = map[string]Creator{}
func Add(name string, creator Creator) {
Processors[name] = creator
}

12
processor.go Normal file
View File

@ -0,0 +1,12 @@
package telegraf
type Processor interface {
// SampleConfig returns the default configuration of the Input
SampleConfig() string
// Description returns a one-sentence description on the Input
Description() string
// Apply the filter to the given metric
Apply(in ...Metric) []Metric
}