Trigger a flow on message consumption periodically from Kafka topics.

Note that you don't need an extra task to consume the message from the event trigger. The trigger will automatically consume messages and you can retrieve their content in your flow using the {{ trigger.uri }} variable. If you would like to consume each message from a Kafka topic in real-time and create one execution per message, you can use the io.kestra.plugin.kafka.RealtimeTrigger instead.

yaml
type: "io.kestra.plugin.kafka.trigger"

yaml
id: kafka_trigger
namespace: company.team

tasks:
  - id: log
    type: io.kestra.plugin.core.log.Log
    message: "{{ trigger.value }}"

triggers:
  - id: trigger
    type: io.kestra.plugin.kafka.Trigger
    topic: test_kestra
    properties:
      bootstrap.servers: localhost:9092
    serdeProperties:
      schema.registry.url: http://localhost:8085
      keyDeserializer: STRING
      valueDeserializer: AVRO
    interval: PT30S
    maxRecords: 5
    groupId: kafkaConsumerGroupId

Kafka consumer group ID.

Using a consumer group, we will fetch only records that haven't been consumed yet.

SubType string

Kafka connection properties.

The bootstrap.servers property is a minimal required configuration to connect to a Kafka topic. This property can reference any valid Consumer Configs or Producer Configs as key-value pairs. If you want to pass a truststore or a keystore, you must provide a base64 encoded string for ssl.keystore.location and ssl.truststore.location.

List of conditions in order to limit the flow trigger.

Default PT1M

Format duration

Interval between polling.

The interval between 2 different polls of schedule, this can avoid to overload the remote system with too many calls. For most of the triggers that depend on external systems, a minimal interval must be at least PT30S. See ISO_8601 Durations for more information of available interval values.

Default STRING

Possible Values

STRINGINTEGERFLOATDOUBLELONGSHORTBYTE_ARRAYBYTE_BUFFERBYTESUUIDVOIDAVROJSON

The deserializer used for the key.

Possible values are: STRING, INTEGER, FLOAT, DOUBLE, LONG, SHORT, BYTE_ARRAY, BYTE_BUFFER, BYTES, UUID, VOID, AVRO, JSON.

Format duration

The maximum duration to wait for new records before stopping the consumption process.

It's a soft limit evaluated every second.

The maximum number of records to fetch before stopping the consumption process.

It's a soft limit evaluated every second.

On serde error.

Set the behavior wanted when valueDeserializer is JSON and a serde error has occurred : - SKIPPED : all invalid messages will be skipped - STORE : messages will be ignored and stored as a file - DLQ : messages will be ignored and sent to the DLQ specified in topic

SubType integer

Topic partitions to consume messages from.

Manually assign a list of partitions to the consumer.

Default PT5S

Format duration

How often to poll for a record.

If no records are available, the maximum wait duration to wait for new records.

SubType string

Default {}

Serializer configuration

Configuration that will be passed to serializer or deserializer. The avro.use.logical.type.converters is always passed when you have any values set to true.

Timestamp of a message to start consuming messages from.

By default, we consume all messages from the topics with no consumer group or depending on the configuration of the auto.offset.reset property. However, you can provide an arbitrary start time. This property is ignored if a consumer group is used. It must be a valid ISO 8601 date.

SubType string

Possible Values

CREATEDSUBMITTEDRUNNINGPAUSEDRESTARTEDKILLINGSUCCESSWARNINGFAILEDKILLEDCANCELLEDQUEUEDRETRYINGRETRIEDSKIPPEDBREAKPOINTRESUBMITTED

List of execution states after which a trigger should be stopped (a.k.a. disabled).

Kafka topic(s) to consume messages from.

It can be a string or a list of strings to consume from one or multiple topics.

Kafka topic pattern to consume messages from.

Consumer will subscribe to all topics matching the specified pattern to get dynamically assigned partitions.

Default STRING

Possible Values

STRINGINTEGERFLOATDOUBLELONGSHORTBYTE_ARRAYBYTE_BUFFERBYTESUUIDVOIDAVROJSON

The deserializer used for the value.

Possible values are: STRING, INTEGER, FLOAT, DOUBLE, LONG, SHORT, BYTE_ARRAY, BYTE_BUFFER, BYTES, UUID, VOID, AVRO, JSON.

Number of messages consumed from a Kafka topic.

Format uri

URI of a file in Kestra's internal storage containing the messages.

Format partial-time

SLA daily deadline

Use it only for DAILY_TIME_DEADLINE SLA.

Format partial-time

SLA daily end time

Use it only for DAILY_TIME_WINDOW SLA.

Format partial-time

SLA daily start time

Use it only for DAILY_TIME_WINDOW SLA.

Default DURATION_WINDOW

Possible Values

DAILY_TIME_DEADLINEDAILY_TIME_WINDOWDURATION_WINDOWSLIDING_WINDOW

The type of the SLA

The default SLA is a sliding window (DURATION_WINDOW) with a window of 24 hours.

Format duration

The duration of the window

Use it only for DURATION_WINDOW or SLIDING_WINDOW SLA. See ISO_8601 Durations for more information of available duration value. The start of the window is always based on midnight except if you set windowAdvance parameter. Eg if you have a 10 minutes (PT10M) window, the first window will be 00: 00 to 00: 10 and a new window will be started each 10 minutes

Format duration

The window advance duration

Use it only for DURATION_WINDOW SLA. Allow to specify the start time of the window Eg: you want a window of 6 hours (window=PT6H), by default the check will be done between: 00: 00 and 06: 00, 06: 00 and 12: 00, 12: 00 and 18: 00, and 18: 00 and 00: 00. If you want to check the window between 03: 00 and 09: 00, 09: 00 and 15: 00, 15: 00 and 21: 00, and 21: 00 and 3: 00, you will have to shift the window of 3 hours by settings windowAdvance: PT3H

The flow id.

The namespace of the flow.

The namespace of the flow or the prefix if prefix is true.

Default false

If we must look at the flow namespace by prefix (checked using startsWith). The prefix is case sensitive.

The flow id.

The namespace of the flow.

Format time

The time to test must be after this one.

Must be a valid ISO 8601 time with offset.

Format time

The time to test must be before this one.

Must be a valid ISO 8601 time with offset.

Default {{ trigger.date }}

The time to test.

Can be any variable or any valid ISO 8601 time. By default, it will use the trigger date.

List of labels to match in the execution.

Default {{ trigger.date }}

The date to test.

Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.

Topic used when DLQ has been chosen.

Default SKIPPED

Possible Values

SKIPPEDDLQSTORE

Behavior in case of serde error.

Min items 1

The list of conditions to validate.

If any condition is true, it will allow the event's execution.

String against which to match the execution namespace depending on the provided comparison.

Possible Values

EQUALSPREFIXSUFFIX

Comparison to use when checking if namespace matches. If not provided, it will use EQUALS by default.

Default false

Whether to look at the flow namespace by prefix. Shortcut for comparison: PREFIX.

Only used when comparison is not set

SubType

The list of preconditions to wait for

The key must be unique for a trigger because it will be used to store the previous evaluation result.

Validation RegExp ^[a-zA-Z0-9][a-zA-Z0-9_-]*

Min length 1

A unique id for the condition

Default true

Whether to reset the evaluation results of SLA conditions after a first successful evaluation within the given time period.

By default, after a successful evaluation of the set of SLA conditions, the evaluation result is reset, so, the same set of conditions needs to be successfully evaluated again in the same time period to trigger a new execution. This means that to create multiple executions, the same set of conditions needs to be evaluated to true multiple times. You can disable this by setting this property to false so that, within the same period, each time one of the conditions is satisfied again after a successful evaluation, it will trigger a new execution.

Default

{
  "type": "DURATION_WINDOW"
}

Define the time period (or window) for evaluating preconditions.

You can set the type of sla to one of the following values:

DURATION_WINDOW: this is the default type. It uses a start time (windowAdvance) and end time (window) that are moving forward to the next interval whenever the evaluation time reaches the end time, based on the defined duration window. For example, with a 1-day window (the default option: window: PT1D), the SLA conditions are always evaluated during 24h starting at midnight (i.e. at time 00: 00: 00) each day. If you set windowAdvance: PT6H, the window will start at 6 AM each day. If you set windowAdvance: PT6H and you also override the window property to PT6H, the window will start at 6 AM and last for 6 hours — as a result, Kestra will check the SLA conditions during the following time periods: 06: 00 to 12: 00, 12: 00 to 18: 00, 18: 00 to 00: 00, and 00: 00 to 06: 00, and so on.
SLIDING_WINDOW: this option also evaluates SLA conditions over a fixed time window, but it always goes backward from the current time. For example, a sliding window of 1 hour (window: PT1H) will evaluate executions for the past hour (so between now and one hour before now). It uses a default window of 1 day.
DAILY_TIME_DEADLINE: this option declares that some SLA conditions should be met "before a specific time in a day". With the string property deadline, you can configure a daily cutoff for checking conditions. For example, deadline: "09: 00: 00" means that the defined SLA conditions should be met from midnight until 9 AM each day; otherwise, the flow will not be triggered.
DAILY_TIME_WINDOW: this option declares that some SLA conditions should be met "within a given time range in a day". For example, a window from startTime: "06: 00: 00" to endTime: "09: 00: 00" evaluates executions within that interval each day. This option is particularly useful for declarative definition of freshness conditions when building data pipelines. For example, if you only need one successful execution within a given time range to guarantee that some data has been successfully refreshed in order for you to proceed with the next steps of your pipeline, this option can be more useful than a strict DAG-based approach. Usually, each failure in your flow would block the entire pipeline, whereas with this option, you can proceed with the next steps of the pipeline as soon as the data is successfully refreshed at least once within the given time range.

Format duration

The duration of the window

Deprecated, use timeWindow.window instead.

Format duration

The window advance duration

Deprecated, use timeWindow.windowAdvance instead.

Min items 1

The list of conditions to exclude.

If any condition is true, it will prevent the event's execution.

Possible Values

FIRSTLASTSECONDTHIRDFOURTH

Are you looking for the first or the last day in the month?

Possible Values

MONDAYTUESDAYWEDNESDAYTHURSDAYFRIDAYSATURDAYSUNDAY

The day of week.

Default {{ trigger.date }}

The date to test.

Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.

Possible Values

MONDAYTUESDAYWEDNESDAYTHURSDAYFRIDAYSATURDAYSUNDAY

The day of week.

Default {{ trigger.date }}

The date to test.

Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.

SubType string

Possible Values

CREATEDSUBMITTEDRUNNINGPAUSEDRESTARTEDKILLINGSUCCESSWARNINGFAILEDKILLEDCANCELLEDQUEUEDRETRYINGRETRIEDSKIPPEDBREAKPOINTRESUBMITTED

List of states that are authorized.

SubType string

Possible Values

CREATEDSUBMITTEDRUNNINGPAUSEDRESTARTEDKILLINGSUCCESSWARNINGFAILEDKILLEDCANCELLEDQUEUEDRETRYINGRETRIEDSKIPPEDBREAKPOINTRESUBMITTED

List of states that aren't authorized.

Format date-time

The date to test must be after this one.

Must be a valid ISO 8601 datetime with the zone identifier (use 'Z' for the default zone identifier).

Format date-time

The date to test must be before this one.

Must be a valid ISO 8601 datetime with the zone identifier (use 'Z' for the default zone identifier).

Default {{ trigger.date }}

The date to test.

Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.

SubType string

Possible Values

CREATEDSUBMITTEDRUNNINGPAUSEDRESTARTEDKILLINGSUCCESSWARNINGFAILEDKILLEDCANCELLEDQUEUEDRETRYINGRETRIEDSKIPPEDBREAKPOINTRESUBMITTED

List of states that are authorized.

SubType string

Possible Values

CREATEDSUBMITTEDRUNNINGPAUSEDRESTARTEDKILLINGSUCCESSWARNINGFAILEDKILLEDCANCELLEDQUEUEDRETRYINGRETRIEDSKIPPEDBREAKPOINTRESUBMITTED

List of states that aren't authorized.

ISO 3166-1 alpha-2 country code. If not set, it uses the country code from the default locale.

It uses the Jollyday library for public holiday calendar that supports more than 70 countries.

Default {{ trigger.date}}

The date to test.

Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.

ISO 3166-2 country subdivision (e.g., provinces and states) code.

It uses the Jollyday library for public holiday calendar that supports more than 70 countries.