Kafka output
The Kafka output sends events to Apache Kafka.
Compatibility: This output can connect to Kafka version 0.8.2.0 and later. Older versions might work as well, but are not supported.
This example configures a Kafka output called kafka-output
in the Elastic Agent elastic-agent.yml
file, with settings as described further in:
outputs:
kafka-output:
type: kafka
hosts:
- 'kafka1:9092'
- 'kafka2:9092'
- 'kafka3:9092'
client_id: Elastic
version: 1.0.0
compression: gzip
compression_level: 4
username: <my-kafka-username>
password: <my-kakfa-password>
sasl:
mechanism: SCRAM-SHA-256
partition:
round_robin:
group_events: 1
topic: 'elastic-agent'
headers: []
timeout: 30
broker_timeout: 30
required_acks: 1
ssl:
verification_mode: full
If you are considering using Logstash to ship the data from kafka
to Elasticsearch, please be aware the structure of the documents sent from Elastic Agent to kafka
must not be modified by Logstash. We suggest disabling ecs_compatibility
on both the kafka
input and the json
codec in order to make sure the input doesn’t edit the fields and their contents.
The data streams set up by the integrations expect to receive events having the same structure and field names as they were sent directly from an Elastic Agent.
Refer to Logstash output for Elastic Agent documentation for more details.
inputs {
kafka {
...
ecs_compatibility => "disabled"
codec => json { ecs_compatibility => "disabled" }
...
}
}
...
The kafka
output supports the following settings, grouped by category. Many of these settings have sensible defaults that allow you to run Elastic Agent with minimal configuration.
- Kafka output configuration settings
- Authentication settings
- Memory queue settings
- Topics settings
- Partition settings
- Header settings
- Other configuration settings
Setting | Description |
---|---|
username |
The username for connecting to Kafka. If username is configured, the password must be configured as well. |
password |
The password for connecting to Kafka. |
sasl.mechanism |
The SASL mechanism to use when connecting to Kafka. It can be one of: * PLAIN for SASL/PLAIN.* SCRAM-SHA-256 for SCRAM-SHA-256.* SCRAM-SHA-512 for SCRAM-SHA-512. If sasl.mechanism is not set, PLAIN is used if username and password are provided. Otherwise, SASL authentication is disabled. |
ssl |
When sending data to a secured cluster through the kafka output, Elastic Agent can use SSL/TLS. For a list of available settings, refer to SSL/TLS, specifically the settings under Table 7, Common configuration options and Table 8, Client configuration options. |
The memory queue keeps all events in memory.
The memory queue waits for the output to acknowledge or drop events. If the queue is full, no new events can be inserted into the memory queue. Only after the signal from the output will the queue free up space for more events to be accepted.
The memory queue is controlled by the parameters flush.min_events
and flush.timeout
. flush.min_events
gives a limit on the number of events that can be included in a single batch, and flush.timeout
specifies how long the queue should wait to completely fill an event request. If the output supports a bulk_max_size
parameter, the maximum batch size will be the smaller of bulk_max_size
and flush.min_events
.
flush.min_events
is a legacy parameter, and new configurations should prefer to control batch size with bulk_max_size
. As of 8.13, there is never a performance advantage to limiting batch size with flush.min_events
instead of bulk_max_size
.
In synchronous mode, an event request is always filled as soon as events are available, even if there are not enough events to fill the requested batch. This is useful when latency must be minimized. To use synchronous mode, set flush.timeout
to 0.
For backwards compatibility, synchronous mode can also be activated by setting flush.min_events
to 0 or 1. In this case, batch size will be capped at 1/2 the queue capacity.
In asynchronous mode, an event request will wait up to the specified timeout to try and fill the requested batch completely. If the timeout expires, the queue returns a partial batch with all available events. To use asynchronous mode, set flush.timeout
to a positive duration, for example 5s.
This sample configuration forwards events to the output when there are enough events to fill the output’s request (usually controlled by bulk_max_size
, and limited to at most 512 events by flush.min_events
), or when events have been waiting for
queue.mem.events: 4096
queue.mem.flush.min_events: 512
queue.mem.flush.timeout: 5s
Use these options to set the Kafka topic for each Elastic Agent event.
The number of partitions created is set automatically by the Kafka broker based on the list of topics. Records are then published to partitions either randomly, in round-robin order, or according to a calculated hash.
In the following example, after each event is published to a partition, the partitioner selects the next partition in round-robin fashion.
partition:
round_robin:
group_events: 1
A header is a key-value pair, and multiple headers can be included with the same key. Only string values are supported. These headers will be included in each produced Kafka message.
You can specify these various other options in the kafka-output
section of the agent configuration file.
| Setting | Description |
| --- | --- |
| backoff.init
| (string) The number of seconds to wait before trying to reconnect to Kafka after a network error. After waiting backoff.init
seconds, Elastic Agent tries to reconnect. If the attempt fails, the backoff timer is increased exponentially up to backoff.max
. After a successful connection, the backoff timer is reset.
Default: 1s
|
| backoff.max
| (string) The maximum number of seconds to wait before attempting to connect to Kafka after a network error.
Default: 60s
|
| broker_timeout
| The maximum length of time a Kafka broker waits for the required number of ACKs before timing out (see the required_acks
setting further in).
Default: 30
(seconds)
|
| bulk_flush_frequency
| (int) Duration to wait before sending bulk Kafka request. 0`` is no delay.<br><br>**Default:**
0<br> | | $$$kafka-bulk_max_size-setting$$$<br>
bulk_max_size<br> | (int) The maximum number of events to bulk in a single Kafka request.<br><br>**Default:**
2048<br> | | $$$kafka-channel_buffer_size-setting$$$<br>
channel_buffer_size<br> | (int) Per Kafka broker number of messages buffered in output pipeline.<br><br>**Default:**
256<br> | | $$$kafka-codec-setting$$$<br>
codec<br> | Output codec configuration. You can specify either the
jsonor
formatcodec. By default the
json codec is used.<br><br>**
json.pretty**: If
pretty is set to true, events will be nicely formatted. The default is false.<br><br>**
json.escape_html**: If
escape_htmlis set to true, html symbols will be escaped in strings. The default is false.<br><br>Example configuration that uses the
json codec with pretty printing enabled to write events to the console:<br><br>```yaml<br>output.console:<br> codec.json:<br> pretty: true<br> escape_html: false<br>```<br><br>**
format.string**: Configurable format string used to create a custom formatted message.<br><br>Example configurable that uses the
format codec to print the events timestamp and message field to console:<br><br>```yaml<br>output.console:<br> codec.format:<br> string: '%{[@timestamp]} %{[message]}'<br>```<br> | | $$$kafka-compression-setting$$$<br>
compression<br> | Select a compression codec to use. Supported codecs are
snappy,
lz4and
gzip.<br> | | $$$kafka-compression_level-setting$$$<br>
compression_level<br> | For the
gzipcodec you can choose a compression level. The level must be in the range of
1(best speed) to
9(best compression).<br><br>Increasing the compression level reduces the network usage but increases the CPU usage.<br><br>**Default:**
4.<br> | | $$$kafka-keep_alive-setting$$$<br>
keep_alive<br> | (string) The keep-alive period for an active network connection. If
0s, keep-alives are disabled.<br><br>**Default:**
0s<br> | | $$$kafka-max_message_bytes-setting$$$<br>
max_message_bytes<br> | (int) The maximum permitted size of JSON-encoded messages. Bigger messages will be dropped. This value should be equal to or less than the broker’s
message.max.bytes.<br><br>**Default:**
1000000 (bytes)<br> | | $$$kafka-metadata-setting$$$<br>
metadata<br> | Kafka metadata update settings. The metadata contains information about brokers, topics, partition, and active leaders to use for publishing.<br><br>**
refresh_frequency**<br>: Metadata refresh interval. Defaults to 10 minutes.<br><br>**
full**<br>: Strategy to use when fetching metadata. When this option is
true, the client will maintain a full set of metadata for all the available topics. When set to
false it will only refresh the metadata for the configured topics. The default is false.<br><br>**
retry.max**<br>: Total number of metadata update retries. The default is 3.<br><br>**
retry.backoff**<br>: Waiting time between retries. The default is 250ms.<br> | | $$$kafka-required_acks-setting$$$<br>
required_acks<br> | The ACK reliability level required from broker. 0=no response, 1=wait for local commit, -1=wait for all replicas to commit. The default is 1.<br><br>Note: If set to 0, no ACKs are returned by Kafka. Messages might be lost silently on error.<br><br>**Default:**
1 (wait for local commit)<br> | | $$$kafka-timeout-setting$$$<br>
timeout<br> | The number of seconds to wait for responses from the Kafka brokers before timing out. The default is 30 (seconds).<br><br>**Default:**
1000000` (bytes)
|