telegraf/internal/models/running_output.go

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package internal_models
import (
"log"
"sync"
"time"
"github.com/influxdata/telegraf"
)
const (
// Default number of metrics kept between flushes.
DEFAULT_METRIC_BUFFER_LIMIT = 1000
// Limit how many full metric buffers are kept due to failed writes.
FULL_METRIC_BUFFERS_LIMIT = 100
)
type RunningOutput struct {
Name string
Output telegraf.Output
Config *OutputConfig
Quiet bool
MetricBufferLimit int
FlushBufferWhenFull bool
metrics []telegraf.Metric
tmpmetrics map[int][]telegraf.Metric
overwriteI int
mapI int
sync.Mutex
}
func NewRunningOutput(
name string,
output telegraf.Output,
conf *OutputConfig,
) *RunningOutput {
ro := &RunningOutput{
Name: name,
metrics: make([]telegraf.Metric, 0),
tmpmetrics: make(map[int][]telegraf.Metric),
Output: output,
Config: conf,
MetricBufferLimit: DEFAULT_METRIC_BUFFER_LIMIT,
}
return ro
}
// AddMetric adds a metric to the output. This function can also write cached
// points if FlushBufferWhenFull is true.
func (ro *RunningOutput) AddMetric(metric telegraf.Metric) {
if ro.Config.Filter.IsActive {
if !ro.Config.Filter.ShouldMetricPass(metric) {
return
}
}
ro.Lock()
defer ro.Unlock()
// Filter any tagexclude/taginclude parameters before adding metric
if len(ro.Config.Filter.TagExclude) != 0 || len(ro.Config.Filter.TagInclude) != 0 {
// In order to filter out tags, we need to create a new metric, since
// metrics are immutable once created.
tags := metric.Tags()
fields := metric.Fields()
t := metric.Time()
name := metric.Name()
ro.Config.Filter.FilterTags(tags)
// error is not possible if creating from another metric, so ignore.
metric, _ = telegraf.NewMetric(name, tags, fields, t)
}
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if len(ro.metrics) < ro.MetricBufferLimit {
ro.metrics = append(ro.metrics, metric)
} else {
if ro.FlushBufferWhenFull {
ro.metrics = append(ro.metrics, metric)
tmpmetrics := make([]telegraf.Metric, len(ro.metrics))
copy(tmpmetrics, ro.metrics)
ro.metrics = make([]telegraf.Metric, 0)
err := ro.write(tmpmetrics)
if err != nil {
log.Printf("ERROR writing full metric buffer to output %s, %s",
ro.Name, err)
if len(ro.tmpmetrics) == FULL_METRIC_BUFFERS_LIMIT {
ro.mapI = 0
// overwrite one
ro.tmpmetrics[ro.mapI] = tmpmetrics
ro.mapI++
} else {
ro.tmpmetrics[ro.mapI] = tmpmetrics
ro.mapI++
}
}
} else {
if ro.overwriteI == 0 {
log.Printf("WARNING: overwriting cached metrics, you may want to " +
"increase the metric_buffer_limit setting in your [agent] " +
"config if you do not wish to overwrite metrics.\n")
}
if ro.overwriteI == len(ro.metrics) {
ro.overwriteI = 0
}
ro.metrics[ro.overwriteI] = metric
ro.overwriteI++
}
}
}
// Write writes all cached points to this output.
func (ro *RunningOutput) Write() error {
ro.Lock()
defer ro.Unlock()
err := ro.write(ro.metrics)
if err != nil {
return err
} else {
ro.metrics = make([]telegraf.Metric, 0)
ro.overwriteI = 0
}
// Write any cached metric buffers that failed previously
for i, tmpmetrics := range ro.tmpmetrics {
if err := ro.write(tmpmetrics); err != nil {
return err
} else {
delete(ro.tmpmetrics, i)
}
}
return nil
}
func (ro *RunningOutput) write(metrics []telegraf.Metric) error {
if len(metrics) == 0 {
return nil
}
start := time.Now()
err := ro.Output.Write(metrics)
elapsed := time.Since(start)
if err == nil {
if !ro.Quiet {
log.Printf("Wrote %d metrics to output %s in %s\n",
len(metrics), ro.Name, elapsed)
}
}
return err
}
// OutputConfig containing name and filter
type OutputConfig struct {
Name string
Filter Filter
}