Kafka

Collect logs from Kafka

status: stable role: aggregator delivery: at-least-once egress: stream state: stateless output: log

Configuration

Example configurations 

{
  "sources": {
    "my_source_id": {
      "type": "kafka",
      "acknowledgements": null,
      "bootstrap_servers": "10.14.22.123:9092,10.14.23.332:9092",
      "group_id": "consumer-group-name",
      "key_field": "message_key",
      "topics": "^(prefix1|prefix2)-.+"
    }
  }
}
[sources.my_source_id]
type = "kafka"
bootstrap_servers = "10.14.22.123:9092,10.14.23.332:9092"
group_id = "consumer-group-name"
key_field = "message_key"
topics = "^(prefix1|prefix2)-.+"

---
sources:
  my_source_id:
    type: kafka
    acknowledgements: null
    bootstrap_servers: 10.14.22.123:9092,10.14.23.332:9092
    group_id: consumer-group-name
    key_field: message_key
    topics: ^(prefix1|prefix2)-.+

{
  "sources": {
    "my_source_id": {
      "type": "kafka",
      "acknowledgements": null,
      "auto_offset_reset": "largest",
      "bootstrap_servers": "10.14.22.123:9092,10.14.23.332:9092",
      "commit_interval_ms": 5000,
      "fetch_wait_max_ms": 100,
      "group_id": "consumer-group-name",
      "key_field": "message_key",
      "topic_key": "topic",
      "partition_key": "partition",
      "offset_key": "offset",
      "headers_key": "headers",
      "session_timeout_ms": 10000,
      "socket_timeout_ms": 60000,
      "topics": "^(prefix1|prefix2)-.+"
    }
  }
}
[sources.my_source_id]
type = "kafka"
auto_offset_reset = "largest"
bootstrap_servers = "10.14.22.123:9092,10.14.23.332:9092"
commit_interval_ms = 5_000
fetch_wait_max_ms = 100
group_id = "consumer-group-name"
key_field = "message_key"
topic_key = "topic"
partition_key = "partition"
offset_key = "offset"
headers_key = "headers"
session_timeout_ms = 10_000
socket_timeout_ms = 60_000
topics = "^(prefix1|prefix2)-.+"

---
sources:
  my_source_id:
    type: kafka
    acknowledgements: null
    auto_offset_reset: largest
    bootstrap_servers: 10.14.22.123:9092,10.14.23.332:9092
    commit_interval_ms: 5000
    fetch_wait_max_ms: 100
    group_id: consumer-group-name
    key_field: message_key
    topic_key: topic
    partition_key: partition
    offset_key: offset
    headers_key: headers
    librdkafka_options: null
    sasl: null
    session_timeout_ms: 10000
    socket_timeout_ms: 60000
    tls: null
    topics: ^(prefix1|prefix2)-.+

acknowledgements

common optional bool
Controls if the source will wait for destination sinks to deliver the events before acknowledging receipt.
default: false

auto_offset_reset

optional string
If offsets for consumer group do not exist, set them using this strategy. See the librdkafka documentation for the auto.offset.reset option for further clarification.
default: largest

bootstrap_servers

required string
A comma-separated list of host and port pairs that are the addresses of the Kafka brokers in a “bootstrap” Kafka cluster that a Kafka client connects to initially to bootstrap itself.

commit_interval_ms

optional uint
The frequency that the consumer offsets are committed (written) to offset storage.
default: 5000 (milliseconds)

fetch_wait_max_ms

optional uint
Maximum time the broker may wait to fill the response.
default: 100 (milliseconds)

group_id

required string
The consumer group name to be used to consume events from Kafka.

headers_key

optional string
The log field name to use for the Kafka headers.

key_field

common optional string
The log field name to use for the Kafka message key.
default: message_key

librdkafka_options

optional object
Advanced options. See librdkafka documentation for details.

offset_key

optional string
The log field name to use for the Kafka offset.
default: offset

partition_key

optional string
The log field name to use for the Kafka partition name.
default: partition

sasl

optional object
Options for SASL/SCRAM authentication support.

sasl.enabled

optional bool
Enable SASL/SCRAM authentication to the remote (not supported on Windows at this time).

sasl.mechanism

optional string literal
The Kafka SASL/SCRAM mechanisms.

sasl.password

optional string literal
The Kafka SASL/SCRAM authentication password.

sasl.username

optional string literal
The Kafka SASL/SCRAM authentication username.

session_timeout_ms

optional uint
The Kafka session timeout in milliseconds.
default: 10000 (milliseconds)

socket_timeout_ms

optional uint
Default timeout for network requests.
default: 60000 (milliseconds)

tls

optional object
Configures the TLS options for incoming connections.

tls.ca_file

optional string literal
Absolute path to an additional CA certificate file, in DER or PEM format (X.509), or an inline CA certificate in PEM format.

tls.crt_file

optional string literal
Absolute path to a certificate file used to identify this connection, in DER or PEM format (X.509) or PKCS#12, or an inline certificate in PEM format. If this is set and is not a PKCS#12 archive, key_file must also be set.

tls.enabled

optional bool
Enable TLS during connections to the remote.
default: false

tls.key_file

optional string literal
Absolute path to a private key file used to identify this connection, in DER or PEM format (PKCS#8), or an inline private key in PEM format. If this is set, crt_file must also be set.

tls.key_pass

optional string literal
Pass phrase used to unlock the encrypted key file. This has no effect unless key_file is set.

tls.verify_certificate

optional bool
If true (the default), Vector will validate the TLS certificate of the remote host.
default: true

topic_key

optional string
The log field name to use for the Kafka topic.
default: topic

topics

required [string]
The Kafka topics names to read events from. Regex is supported if the topic begins with ^.
Array string literal
Examples 
[
  "^(prefix1|prefix2)-.+",
  "topic-1",
  "topic-2"
]

Output

Logs

record

An individual Kafka record

Telemetry

Metrics

link

consumer_offset_updates_failed_total

counter
The total number of failures to update a Kafka consumer offset.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

events_failed_total

counter
The total number of failures to read a Kafka message.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

events_in_total

counter
The number of events accepted by this component either from tagged origin like file and uri, or cumulatively from other origins.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.
container_name optional
The name of the container from which the event originates.
file optional
The file from which the event originates.
mode optional
The connection mode used by the component.
peer_addr optional
The IP from which the event originates.
peer_path optional
The pathname from which the event originates.
pod_name optional
The name of the pod from which the event originates.
uri optional
The sanitized URI from which the event originates.

events_out_total

counter
The total number of events emitted by this component.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_consumed_messages_bytes_total

counter
Total number of message bytes (including framing) received from Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_consumed_messages_total

counter
Total number of messages consumed, not including ignored messages (due to offset, etc), from Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_produced_messages_bytes_total

counter
Total number of message bytes (including framing, such as per-Message framing and MessageSet/batch framing) transmitted to Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_produced_messages_total

counter
Total number of messages transmitted (produced) to Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_queue_messages

gauge
Current number of messages in producer queues.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_queue_messages_bytes

gauge
Current total size of messages in producer queues.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_requests_bytes_total

counter
Total number of bytes transmitted to Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_requests_total

counter
Total number of requests sent to Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_responses_bytes_total

counter
Total number of bytes received from Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

kafka_responses_total

counter
Total number of responses received from Kafka brokers.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

processed_bytes_total

counter
The number of bytes processed by the component.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.
container_name optional
The name of the container from which the bytes originate.
file optional
The file from which the bytes originate.
mode optional
The connection mode used by the component.
peer_addr optional
The IP from which the bytes originate.
peer_path optional
The pathname from which the bytes originate.
pod_name optional
The name of the pod from which the bytes originate.
uri optional
The sanitized URI from which the bytes originate.

processed_events_total

counter
The total number of events processed by this component. This metric is deprecated in place of using events_in_total and events_out_total metrics.
component_kind required
The Vector component kind.
component_name required
The Vector component name.
component_type required
The Vector component type.

How it works

Context

By default, the kafka source augments events with helpful context keys.

librdkafka

The kafka sink uses librdkafka under the hood. This is a battle-tested, high performance, and reliable library that facilitates communication with Kafka. As Vector produces static MUSL builds, this dependency is packaged with Vector, meaning you do not need to install it.

State

This component is stateless, meaning its behavior is consistent across each input.

Transport Layer Security (TLS)

Vector uses OpenSSL for TLS protocols. You can adjust TLS behavior via the tls.* options.
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