The Kafka input plugin allows subscribing to one or more Kafka topics to collect messages from an Apache Kafka service. This plugin uses the official librdkafka C library (built-in dependency).
Key | Description | default |
---|---|---|
brokers | Single or multiple list of Kafka Brokers, e.g: 192.168.1.3:9092, 192.168.1.4:9092. | |
topics | Single entry or list of topics separated by comma (,) that Fluent Bit will subscribe to. | |
format | Serialization format of the messages. If set to "json", the payload will be parsed as json. | none |
client_id | Client id passed to librdkafka. | |
group_id | Group id passed to librdkafka. | fluent-bit |
poll_ms | Kafka brokers polling interval in milliseconds. | 500 |
Buffer_Max_Size | Specify the maximum size of buffer per cycle to poll kafka messages from subscribed topics. To increase throughput, specify larger size. | 4M |
poll_ms | Kafka brokers polling interval in milliseconds. | 500 |
rdkafka.{property} | {property} can be any librdkafka properties |
In order to subscribe/collect messages from Apache Kafka, you can run the plugin from the command line or through the configuration file:
The kafka plugin can read parameters through the -p argument (property), e.g:
$ fluent-bit -i kafka -o stdout -p brokers=192.168.1.3:9092 -p topics=some-topic
In your main configuration file append the following Input & Output sections:
[INPUT]
Name kafka
Brokers 192.168.1.3:9092
Topics some-topic
poll_ms 100
[OUTPUT]
Name stdout
The fluent-bit source repository contains a full example of using fluent-bit to process kafka records:
[INPUT]
Name kafka
brokers kafka-broker:9092
topics fb-source
poll_ms 100
format json
[FILTER]
Name lua
Match *
script kafka.lua
call modify_kafka_message
[OUTPUT]
Name kafka
brokers kafka-broker:9092
topics fb-sink
The above will connect to the broker listening on kafka-broker:9092
and subscribe to the fb-source
topic, polling for new messages every 100 milliseconds.
Since the payload will be in json format, we ask the plugin to automatically parse the payload with format json
.
Every message received is then processed with kafka.lua
and sent back to the fb-sink
topic of the same broker.
The example can be executed locally with make start
in the examples/kafka_filter
directory (docker/compose is used).