# Kafka Output Plugin

This plugin writes to a [Kafka Broker](http://kafka.apache.org/07/quickstart.html) acting a Kafka Producer.

### Configuration:
```toml
[[outputs.kafka]]
  ## URLs of kafka brokers
  brokers = ["localhost:9092"]
  ## Kafka topic for producer messages
  topic = "telegraf"

  ## Optional Client id
  # client_id = "Telegraf"

  ## Set the minimal supported Kafka version.  Setting this enables the use of new
  ## Kafka features and APIs.  Of particular interested, lz4 compression
  ## requires at least version 0.10.0.0.
  ##   ex: version = "1.1.0"
  # version = ""

  ## Optional topic suffix configuration.
  ## If the section is omitted, no suffix is used.
  ## Following topic suffix methods are supported:
  ##   measurement - suffix equals to separator + measurement's name
  ##   tags        - suffix equals to separator + specified tags' values
  ##                 interleaved with separator

  ## Suffix equals to "_" + measurement name
  # [outputs.kafka.topic_suffix]
  #   method = "measurement"
  #   separator = "_"

  ## Suffix equals to "__" + measurement's "foo" tag value.
  ##   If there's no such a tag, suffix equals to an empty string
  # [outputs.kafka.topic_suffix]
  #   method = "tags"
  #   keys = ["foo"]
  #   separator = "__"

  ## Suffix equals to "_" + measurement's "foo" and "bar"
  ##   tag values, separated by "_". If there is no such tags,
  ##   their values treated as empty strings.
  # [outputs.kafka.topic_suffix]
  #   method = "tags"
  #   keys = ["foo", "bar"]
  #   separator = "_"

  ## Telegraf tag to use as a routing key
  ##  ie, if this tag exists, its value will be used as the routing key
  routing_tag = "host"

  ## Static routing key.  Used when no routing_tag is set or as a fallback
  ## when the tag specified in routing tag is not found.  If set to "random",
  ## a random value will be generated for each message.
  ##   ex: routing_key = "random"
  ##       routing_key = "telegraf"
  # routing_key = ""

  ## CompressionCodec represents the various compression codecs recognized by
  ## Kafka in messages.
  ##  0 : No compression
  ##  1 : Gzip compression
  ##  2 : Snappy compression
  ##  3 : LZ4 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 maximum number of times to retry sending a metric before failing
  ## until the next flush.
  # max_retry = 3

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  ## Optional SASL Config
  # sasl_username = "kafka"
  # sasl_password = "secret"

  ## SASL protocol version.  When connecting to Azure EventHub set to 0.
  # sasl_version = 1

  ## Data format to output.
  ## 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_OUTPUT.md
  # data_format = "influx"
```

#### `max_retry`

This option controls the number of retries before a failure notification is
displayed for each message when no acknowledgement is received from the
broker. When the setting is greater than `0`, message latency can be reduced,
duplicate messages can occur in cases of transient errors, and broker loads
can increase during downtime.

The option is similar to the
[retries](https://kafka.apache.org/documentation/#producerconfigs) Producer
option in the Java Kafka Producer.