telegraf/plugins/outputs/kafka/kafka.go

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package kafka
import (
"crypto/tls"
"fmt"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/plugins/outputs"
"github.com/influxdata/telegraf/plugins/serializers"
"github.com/Shopify/sarama"
)
type Kafka struct {
// Kafka brokers to send metrics to
Brokers []string
// Kafka topic
Topic string
// Routing Key Tag
RoutingTag string `toml:"routing_tag"`
// Compression Codec Tag
CompressionCodec int
// RequiredAcks Tag
RequiredAcks int
// MaxRetry Tag
MaxRetry int
// Legacy SSL config options
// TLS client certificate
Certificate string
// TLS client key
Key string
// TLS certificate authority
CA string
// Path to CA file
SSLCA string `toml:"ssl_ca"`
// Path to host cert file
SSLCert string `toml:"ssl_cert"`
// Path to cert key file
SSLKey string `toml:"ssl_key"`
// Skip SSL verification
InsecureSkipVerify bool
tlsConfig tls.Config
producer sarama.SyncProducer
serializer serializers.Serializer
}
var sampleConfig = `
## URLs of kafka brokers
brokers = ["localhost:9092"]
## Kafka topic for producer messages
topic = "telegraf"
## Telegraf tag to use as a routing key
## ie, if this tag exists, it's value will be used as the routing key
routing_tag = "host"
## CompressionCodec represents the various compression codecs recognized by Kafka in messages.
## 0 : No compression
## 1 : Gzip compression
## 2 : Snappy compression
compression_codec = 0
## RequiredAcks is used in Produce Requests to tell the broker how many replica acknowledgements it must see before responding
## 0 : the producer never waits for an acknowledgement from the broker. This option provides the lowest latency but the weakest durability guarantees (some data will be lost when a server fails).
## 1 : the producer gets an acknowledgement after the leader replica has received the data. This option provides better durability as the client waits until the server acknowledges the request as successful (only messages that were written to the now-dead leader but not yet replicated will be lost).
## -1 : the producer gets an acknowledgement after all in-sync replicas have received the data. This option provides the best durability, we guarantee that no messages will be lost as long as at least one in sync replica remains.
required_acks = -1
## The total number of times to retry sending a message
max_retry = 3
## Optional SSL Config
# ssl_ca = "/etc/telegraf/ca.pem"
# ssl_cert = "/etc/telegraf/cert.pem"
# ssl_key = "/etc/telegraf/key.pem"
## Use SSL but skip chain & host verification
# insecure_skip_verify = false
## Data format to output. This can be "influx" or "graphite"
## Each data format has it's own unique set of configuration options, read
## more about them here:
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
`
func (k *Kafka) SetSerializer(serializer serializers.Serializer) {
k.serializer = serializer
}
func (k *Kafka) Connect() error {
config := sarama.NewConfig()
config.Producer.RequiredAcks = sarama.RequiredAcks(k.RequiredAcks)
config.Producer.Compression = sarama.CompressionCodec(k.CompressionCodec)
config.Producer.Retry.Max = k.MaxRetry
// Legacy support ssl config
if k.Certificate != "" {
k.SSLCert = k.Certificate
k.SSLCA = k.CA
k.SSLKey = k.Key
}
tlsConfig, err := internal.GetTLSConfig(
k.SSLCert, k.SSLKey, k.SSLCA, k.InsecureSkipVerify)
if err != nil {
return err
}
if tlsConfig != nil {
config.Net.TLS.Config = tlsConfig
config.Net.TLS.Enable = true
}
producer, err := sarama.NewSyncProducer(k.Brokers, config)
if err != nil {
return err
}
k.producer = producer
return nil
}
func (k *Kafka) Close() error {
return k.producer.Close()
}
func (k *Kafka) SampleConfig() string {
return sampleConfig
}
func (k *Kafka) Description() string {
return "Configuration for the Kafka server to send metrics to"
}
func (k *Kafka) Write(metrics []telegraf.Metric) error {
if len(metrics) == 0 {
return nil
}
for _, metric := range metrics {
values, err := k.serializer.Serialize(metric)
if err != nil {
return err
}
var pubErr error
for _, value := range values {
m := &sarama.ProducerMessage{
Topic: k.Topic,
Value: sarama.StringEncoder(value),
}
if h, ok := metric.Tags()[k.RoutingTag]; ok {
m.Key = sarama.StringEncoder(h)
}
_, _, pubErr = k.producer.SendMessage(m)
}
if pubErr != nil {
return fmt.Errorf("FAILED to send kafka message: %s\n", pubErr)
}
}
return nil
}
func init() {
outputs.Add("kafka", func() telegraf.Output {
return &Kafka{}
})
}