Trigger a flow in response to a state change in one or more other flows.
You can trigger a flow as soon as another flow ends. This allows you to add implicit dependencies between multiple flows, which can often be managed by different teams.
A flow trigger must have preconditions
which filter on other flow executions.
It can also have standard trigger conditions
. Neither condition type can use Pebble templating expressions; they must be declaratively defined.
Upstream execution outputs will be available in a trigger.outputs
variable.
type: "io.kestra.plugin.core.trigger.Flow"
- Trigger the
transform
flow after theextract
flow finishes successfully. Theextract
flow generates adate
output that is passed to thetransform
flow as an input.
id: extract
namespace: company.team
tasks:
- id: final_date
type: io.kestra.plugin.core.debug.Return
format: "{{ execution.startDate | dateAdd(-2, 'DAYS') | date('yyyy-MM-dd') }}"
outputs:
- id: date
type: STRING
value: "{{ outputs.final_date.value }}"
The transform
flow is triggered after the extract
flow finishes successfully.
id: transform
namespace: company.team
inputs:
- id: date
type: STRING
defaults: "2025-01-01"
variables:
result: |
Ingestion done in {{ trigger.executionId }}.
Now transforming data up to {{ inputs.date }}
tasks:
- id: run_transform
type: io.kestra.plugin.core.debug.Return
format: "{{ render(vars.result) }}"
- id: log
type: io.kestra.plugin.core.log.Log
message: "{{ render(vars.result) }}"
triggers:
- id: run_after_extract
type: io.kestra.plugin.core.trigger.Flow
inputs:
date: "{{ trigger.outputs.date }}"
preconditions:
id: flows
flows:
- namespace: company.team
flowId: extract
states: [SUCCESS]
- Trigger the
silver_layer
flow once thebronze_layer
flow finishes successfully by 9 AM.
id: bronze_layer
namespace: company.team
tasks:
- id: raw_data
type: io.kestra.plugin.core.log.Log
message: Ingesting raw data
id: silver_layer
namespace: company.team
tasks:
- id: transform_data
type: io.kestra.plugin.core.log.Log
message: deduplication, cleaning, and minor aggregations
triggers:
- id: flow_trigger
type: io.kestra.plugin.core.trigger.Flow
preconditions:
id: bronze_layer
timeWindow:
type: DAILY_TIME_DEADLINE
deadline: "09:00:00"
flows:
- namespace: company.team
flowId: bronze_layer
states: [SUCCESS]
- Create a
System Flow
to send a Slack alert on any failure or warning state within thecompany
namespace. This example uses the Slack webhook secret to notify the#general
channel about the failed flow.
id: alert
namespace: system
tasks:
- id: send_alert
type: io.kestra.plugin.notifications.slack.SlackExecution
url: "{{secret('SLACK_WEBHOOK')}}" # format: https://hooks.slack.com/services/xzy/xyz/xyz
channel: "#general"
executionId: "{{trigger.executionId}}"
triggers:
- id: alert_on_failure
type: io.kestra.plugin.core.trigger.Flow
states:
- FAILED
- WARNING
preconditions:
id: company_namespace
where:
- id: company
filters:
- field: NAMESPACE
type: STARTS_WITH
value: company
List of conditions in order to limit the flow trigger.
Pass upstream flow's outputs to inputs of the current flow.
The inputs allow you to pass data object or a file to the downstream flow as long as those outputs are defined on the flow-level in the upstream flow.
Make sure that the inputs and task outputs defined in this Flow trigger match the outputs of the upstream flow. Otherwise, the downstream flow execution will not to be created. If that happens, go to the Logs tab on the Flow page to understand the error.
Preconditions on upstream flow executions
Express preconditions to be met, on a time window, for the flow trigger to be evaluated.
[
"SUCCESS",
"WARNING",
"FAILED",
"KILLED",
"CANCELLED",
"RETRIED",
"SKIPPED",
"PAUSED"
]
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
List of execution states that will be evaluated by the trigger
By default, only executions in a terminal state or in the PAUSED state will be evaluated.
Any ExecutionStatus
-type condition will be evaluated after the list of states
. Note that a Flow trigger cannot react to the CREATED
state because the Flow trigger reacts to state transitions. The CREATED
state is the initial state of an execution and does not represent a state transition.
The trigger will be evaluated for each state change of matching executions. If a flow has two Pause
tasks, the execution will transition from PAUSED to a RUNNING state twice — one for each Pause task. In this case, a Flow trigger listening to a PAUSED
state will be evaluated twice.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
List of execution states after which a trigger should be stopped (a.k.a. disabled).
The execution ID that triggered the current flow.
The execution labels that triggered the current flow.
The flow ID whose execution triggered the current flow.
The flow revision that triggered the current flow.
The namespace of the flow that triggered the current flow.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
The execution state.
The extracted outputs from the flow that triggered the current flow.
partial-time
SLA daily deadline
Use it only for DAILY_TIME_DEADLINE
SLA.
partial-time
SLA daily end time
Use it only for DAILY_TIME_WINDOW
SLA.
partial-time
SLA daily start time
Use it only for DAILY_TIME_WINDOW
SLA.
DURATION_WINDOW
DAILY_TIME_DEADLINE
DAILY_TIME_WINDOW
DURATION_WINDOW
SLIDING_WINDOW
The type of the SLA
The default SLA is a sliding window (DURATION_WINDOW
) with a window of 24 hours.
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
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.
false
If we must look at the flow namespace by prefix (checked using startWith). The prefix is case sensitive.
The flow id.
The namespace of the flow.
time
The time to test must be after this one.
Must be a valid ISO 8601 time with offset.
time
The time to test must be before this one.
Must be a valid ISO 8601 time with offset.
{{ 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.
{{ trigger.date }}
The date to test.
Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.
The namespace of the flow.
The flow id.
A key/value map of labels.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
The execution states.
^[a-zA-Z0-9][a-zA-Z0-9_-]*
1
A unique id for the preconditions
true
Whether to reset the evaluation results of preconditions after a first successful evaluation within the given time window.
By default, after a successful evaluation of the set of preconditions, the evaluation result is reset. This means the same set of conditions needs to be successfully evaluated again within the same time window to trigger a new execution.
In this setup, to create multiple executions, the same set of conditions must be evaluated to true
multiple times within the defined window.
You can disable this by setting this property to false
, so that within the same window, each time one of the conditions is satisfied again after a successful evaluation, it will trigger a new execution.
{
"type": "DURATION_WINDOW"
}
Define the time window for evaluating preconditions.
You can set the type
of timeWindow
to one of the following values:
DURATION_WINDOW
: this is the defaulttype
. It uses a start time (windowAdvance
) and end time (window
) that advance to the next interval whenever the evaluation time reaches the end time, based on the defined durationwindow
. For example, with a 1-day window (the default option:window: PT1D
), the preconditions are evaluated during a 24-hour period starting at midnight (i.e., at "00: 00: 00+00: 00") each day. If you setwindowAdvance: PT6H
, the window will start at 6 AM each day. If you setwindowAdvance: PT6H
and also override thewindow
property toPT6H
, the window will start at 6 AM and last for 6 hours. In this configuration, the preconditions will be evaluated during the following intervals: 06: 00 to 12: 00, 12: 00 to 18: 00, 18: 00 to 00: 00, and 00: 00 to 06: 00.SLIDING_WINDOW
: this option evaluates preconditions over a fixed timewindow
but always goes backward from the current time. For example, a sliding window of 1 hour (window: PT1H
) evaluates executions within the past hour (from one hour ago up to now). It uses a default window of 1 day.DAILY_TIME_DEADLINE
: this option declares that preconditions should be met "before a specific time in a day." Using the string propertydeadline
, you can configure a daily cutoff for evaluating preconditions. For example,deadline: "09: 00: 00"
specifies that preconditions must be met from midnight until 9 AM UTC time each day; otherwise, the flow will not be triggered.DAILY_TIME_WINDOW
: this option declares that preconditions should be met "within a specific time range in a day". For example, a window fromstartTime: "06: 00: 00"
toendTime: "09: 00: 00"
evaluates executions within that interval each day. This option is particularly useful for defining freshness conditions declaratively when building data pipelines that span multiple teams and namespaces. Normally, a failure in any task in your flow will block the entire pipeline, but with this decoupled flow trigger alternative, you can proceed as soon as the data is successfully refreshed within the specified time window.
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.
EQUALS
PREFIX
SUFFIX
Comparison to use when checking if namespace matches. If not provided, it will use EQUALS
by default.
false
Whether to look at the flow namespace by prefix. Shortcut for comparison: PREFIX
.
Only used when comparison
is not set
^[a-zA-Z0-9][a-zA-Z0-9_-]*
1
A unique id for the condition
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.
{
"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 defaulttype
. 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 durationwindow
. 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 setwindowAdvance: PT6H
, the window will start at 6 AM each day. If you setwindowAdvance: PT6H
and you also override thewindow
property toPT6H
, 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 timewindow
, 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 propertydeadline
, 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 fromstartTime: "06: 00: 00"
toendTime: "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.
duration
The duration of the window
Deprecated, use timeWindow.window
instead.
duration
The window advance duration
Deprecated, use timeWindow.windowAdvance
instead.
1
The list of conditions to exclude.
If any conditions is true, it will prevent the event's execution.
FIRST
LAST
SECOND
THIRD
FOURTH
Are you looking for the first or the last day in the month?
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY
SUNDAY
The day of week.
{{ trigger.date }}
The date to test.
Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY
SUNDAY
The day of week.
{{ trigger.date }}
The date to test.
Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
List of states that are authorized.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
List of states that aren't authorized.
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).
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).
{{ trigger.date }}
The date to test.
Can be any variable or any valid ISO 8601 datetime. By default, it will use the trigger date.
FLOW_ID
NAMESPACE
STATE
EXPRESSION
The field which will be filtered.
EQUAL_TO
NOT_EQUAL_TO
IN
NOT_IN
IS_TRUE
IS_FALSE
IS_NULL
IS_NOT_NULL
STARTS_WITH
ENDS_WITH
REGEX
CONTAINS
The type of filter.
Can be set to one of the following: EQUAL_TO
, NOT_EQUAL_TO
, IS_NULL
, IS_NOT_NULL
, IS_TRUE
, IS_FALSE
, STARTS_WITH
, ENDS_WITH
, REGEX
, CONTAINS
. Depending on the type
, you will need to also set the value
or values
property.
The single value to filter the field
on.
Must be set according to its type
.
The list of values to filter the field
on.
Must be set for the following types: IN, NOT_IN.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
List of states that are authorized.
CREATED
RUNNING
PAUSED
RESTARTED
KILLING
SUCCESS
WARNING
FAILED
KILLED
CANCELLED
QUEUED
RETRYING
RETRIED
SKIPPED
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.
{{ 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.