telegraf/plugins/inputs/kafka_consumer/kafka_consumer.go

231 lines
5.5 KiB
Go

package kafka_consumer
import (
"fmt"
"log"
"strings"
"sync"
"github.com/influxdata/telegraf"
"github.com/influxdata/telegraf/internal"
"github.com/influxdata/telegraf/plugins/inputs"
"github.com/influxdata/telegraf/plugins/parsers"
"github.com/Shopify/sarama"
cluster "github.com/bsm/sarama-cluster"
)
type Kafka struct {
ConsumerGroup string
Topics []string
Brokers []string
MaxMessageLen int
Cluster *cluster.Consumer
// Verify Kafka SSL Certificate
InsecureSkipVerify bool
// 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"`
// SASL Username
SASLUsername string `toml:"sasl_username"`
// SASL Password
SASLPassword string `toml:"sasl_password"`
// Legacy metric buffer support
MetricBuffer int
// TODO remove PointBuffer, legacy support
PointBuffer int
Offset string
parser parsers.Parser
sync.Mutex
// channel for all incoming kafka messages
in <-chan *sarama.ConsumerMessage
// channel for all kafka consumer errors
errs <-chan error
done chan struct{}
// keep the accumulator internally:
acc telegraf.Accumulator
// doNotCommitMsgs tells the parser not to call CommitUpTo on the consumer
// this is mostly for test purposes, but there may be a use-case for it later.
doNotCommitMsgs bool
}
var sampleConfig = `
## kafka servers
brokers = ["localhost:9092"]
## topic(s) to consume
topics = ["telegraf"]
## 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
## Optional SASL Config
# sasl_username = "kafka"
# sasl_password = "secret"
## the name of the consumer group
consumer_group = "telegraf_metrics_consumers"
## Offset (must be either "oldest" or "newest")
offset = "oldest"
## Data format to consume.
## 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 = "influx"
## Maximum length of a message to consume, in bytes (default 0/unlimited);
## larger messages are dropped
max_message_len = 65536
`
func (k *Kafka) SampleConfig() string {
return sampleConfig
}
func (k *Kafka) Description() string {
return "Read metrics from Kafka topic(s)"
}
func (k *Kafka) SetParser(parser parsers.Parser) {
k.parser = parser
}
func (k *Kafka) Start(acc telegraf.Accumulator) error {
k.Lock()
defer k.Unlock()
var clusterErr error
k.acc = acc
config := cluster.NewConfig()
config.Consumer.Return.Errors = true
tlsConfig, err := internal.GetTLSConfig(
k.SSLCert, k.SSLKey, k.SSLCA, k.InsecureSkipVerify)
if err != nil {
return err
}
if tlsConfig != nil {
log.Printf("D! TLS Enabled")
config.Net.TLS.Config = tlsConfig
config.Net.TLS.Enable = true
}
if k.SASLUsername != "" && k.SASLPassword != "" {
log.Printf("D! Using SASL auth with username '%s',",
k.SASLUsername)
config.Net.SASL.User = k.SASLUsername
config.Net.SASL.Password = k.SASLPassword
config.Net.SASL.Enable = true
}
switch strings.ToLower(k.Offset) {
case "oldest", "":
config.Consumer.Offsets.Initial = sarama.OffsetOldest
case "newest":
config.Consumer.Offsets.Initial = sarama.OffsetNewest
default:
log.Printf("I! WARNING: Kafka consumer invalid offset '%s', using 'oldest'\n",
k.Offset)
config.Consumer.Offsets.Initial = sarama.OffsetOldest
}
if k.Cluster == nil {
k.Cluster, clusterErr = cluster.NewConsumer(
k.Brokers,
k.ConsumerGroup,
k.Topics,
config,
)
if clusterErr != nil {
log.Printf("E! Error when creating Kafka Consumer, brokers: %v, topics: %v\n",
k.Brokers, k.Topics)
return clusterErr
}
// Setup message and error channels
k.in = k.Cluster.Messages()
k.errs = k.Cluster.Errors()
}
k.done = make(chan struct{})
// Start the kafka message reader
go k.receiver()
log.Printf("I! Started the kafka consumer service, brokers: %v, topics: %v\n",
k.Brokers, k.Topics)
return nil
}
// receiver() reads all incoming messages from the consumer, and parses them into
// influxdb metric points.
func (k *Kafka) receiver() {
for {
select {
case <-k.done:
return
case err := <-k.errs:
if err != nil {
k.acc.AddError(fmt.Errorf("Consumer Error: %s\n", err))
}
case msg := <-k.in:
if k.MaxMessageLen != 0 && len(msg.Value) > k.MaxMessageLen {
k.acc.AddError(fmt.Errorf("Message longer than max_message_len (%d > %d)",
len(msg.Value), k.MaxMessageLen))
} else {
metrics, err := k.parser.Parse(msg.Value)
if err != nil {
k.acc.AddError(fmt.Errorf("Message Parse Error\nmessage: %s\nerror: %s",
string(msg.Value), err.Error()))
}
for _, metric := range metrics {
k.acc.AddFields(metric.Name(), metric.Fields(), metric.Tags(), metric.Time())
}
}
if !k.doNotCommitMsgs {
// TODO(cam) this locking can be removed if this PR gets merged:
// https://github.com/wvanbergen/kafka/pull/84
k.Lock()
k.Cluster.MarkOffset(msg, "")
k.Unlock()
}
}
}
}
func (k *Kafka) Stop() {
k.Lock()
defer k.Unlock()
close(k.done)
if err := k.Cluster.Close(); err != nil {
k.acc.AddError(fmt.Errorf("Error closing consumer: %s\n", err.Error()))
}
}
func (k *Kafka) Gather(acc telegraf.Accumulator) error {
return nil
}
func init() {
inputs.Add("kafka_consumer", func() telegraf.Input {
return &Kafka{}
})
}