# 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.