split metrics based on UDPPayload size (#2795)

This commit is contained in:
Sebastian Borza
2017-05-12 16:42:18 -05:00
committed by Daniel Nelson
parent 0ed404e7ba
commit a871b64ac3
2 changed files with 18 additions and 8 deletions

View File

@@ -15,6 +15,7 @@ import (
"github.com/influxdata/telegraf/plugins/outputs/influxdb/client"
)
// InfluxDB struct is the primary data structure for the plugin
type InfluxDB struct {
// URL is only for backwards compatability
URL string
@@ -79,11 +80,10 @@ var sampleConfig = `
# insecure_skip_verify = false
`
// Connect initiates the primary connection to the range of provided URLs
func (i *InfluxDB) Connect() error {
var urls []string
for _, u := range i.URLs {
urls = append(urls, u)
}
urls = append(urls, i.URLs...)
// Backward-compatability with single Influx URL config files
// This could eventually be removed in favor of specifying the urls as a list
@@ -144,26 +144,32 @@ func (i *InfluxDB) Connect() error {
return nil
}
// Close will terminate the session to the backend, returning error if an issue arises
func (i *InfluxDB) Close() error {
return nil
}
// SampleConfig returns the formatted sample configuration for the plugin
func (i *InfluxDB) SampleConfig() string {
return sampleConfig
}
// Description returns the human-readable function definition of the plugin
func (i *InfluxDB) Description() string {
return "Configuration for influxdb server to send metrics to"
}
// Choose a random server in the cluster to write to until a successful write
// Write will choose a random server in the cluster to write to until a successful write
// occurs, logging each unsuccessful. If all servers fail, return error.
func (i *InfluxDB) Write(metrics []telegraf.Metric) error {
bufsize := 0
splitData := make([]telegraf.Metric, 0)
for _, m := range metrics {
bufsize += m.Len()
splitData = append(splitData, m.Split(i.UDPPayload)...)
}
r := metric.NewReader(metrics)
r := metric.NewReader(splitData)
// This will get set to nil if a successful write occurs
err := fmt.Errorf("Could not write to any InfluxDB server in cluster")