74 lines
2.4 KiB
Markdown
74 lines
2.4 KiB
Markdown
# Kafka Consumer Input Plugin
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The [Kafka][kafka] consumer plugin reads from Kafka
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and creates metrics using one of the supported [input data formats][].
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For old kafka version (< 0.8), please use the [kafka_consumer_legacy][] input plugin
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and use the old zookeeper connection method.
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### Configuration
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```toml
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[[inputs.kafka_consumer]]
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## Kafka brokers.
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brokers = ["localhost:9092"]
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## Topics to consume.
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topics = ["telegraf"]
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## When set this tag will be added to all metrics with the topic as the value.
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# topic_tag = ""
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## Optional Client id
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# client_id = "Telegraf"
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## Set the minimal supported Kafka version. Setting this enables the use of new
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## Kafka features and APIs. Must be 0.10.2.0 or greater.
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## ex: version = "1.1.0"
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# version = ""
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## Optional TLS Config
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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## Use TLS but skip chain & host verification
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# insecure_skip_verify = false
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## Optional SASL Config
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# sasl_username = "kafka"
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# sasl_password = "secret"
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## Name of the consumer group.
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# consumer_group = "telegraf_metrics_consumers"
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## Initial offset position; one of "oldest" or "newest".
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# offset = "oldest"
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## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky".
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# balance_strategy = "range"
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## Maximum length of a message to consume, in bytes (default 0/unlimited);
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## larger messages are dropped
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max_message_len = 1000000
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## Maximum messages to read from the broker that have not been written by an
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## output. For best throughput set based on the number of metrics within
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## each message and the size of the output's metric_batch_size.
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##
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## For example, if each message from the queue contains 10 metrics and the
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## output metric_batch_size is 1000, setting this to 100 will ensure that a
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## full batch is collected and the write is triggered immediately without
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## waiting until the next flush_interval.
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# max_undelivered_messages = 1000
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## Data format to consume.
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## Each data format has its own unique set of configuration options, read
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## more about them here:
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## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
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data_format = "influx"
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```
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[kafka]: https://kafka.apache.org
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[kafka_consumer_legacy]: /plugins/inputs/kafka_consumer_legacy/README.md
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[input data formats]: /docs/DATA_FORMATS_INPUT.md
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