Hevo Sensor

Last updated on Feb 20, 2026
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The HevoSensor is a special type of operator that supports two modes:

  • Explicit Job ID: In this mode, the sensor monitors a specific job indicated by the ID.

  • Auto-discovery: In this mode, the sensor automatically identifies the relevant job in the Hevo Pipeline and monitors it.

Parameters

The HevoSensor accepts the following parameters:

Required

Name Type Default Description
pipeline_id

Note: Supports Jinja templating.		 INT NA The unique identifier of the Hevo Pipeline to be monitored.

Optional

Parameter Type Default Description
job_id

Note: Supports Jinja templating.		 STR None The ID of the job to be monitored. If a job ID is specified, the sensor monitors that job. If not, it identifies the active job via auto-discovery.
job_type

Note: This parameter is used when a job_id is not specified.		 - JobType

- STR 		INCREMENTAL The type of job to be monitored when a job ID is not specified. The trigger discovers the relevant job based on the specified type.

Allowable values:

INCREMENTAL: A Pipeline job that syncs new and updated data.

HISTORICAL: A Pipeline job that syncs all existing data from the Source.

TRUNCATE_AND_LOAD: A Pipeline job that runs when a Pipeline is resynced or is resumed after a pause.
connection_id STR hevo_airflow_conn_id The ID of the connection created in Airflow for Hevo API credentials and connection details.
poke_interval INT 15 The time (in seconds) between status checks while waiting for the Pipeline job to complete.
accept_completed_with_failures BOOL False A flag to treat the Pipeline job’s Completed with Failures status as success.
deferrable BOOL True

Note: It is recommended to set this parameter to True in production environments.		 A flag to determine whether the task should release the worker slot while waiting for the job to complete.

Allowable values:

True: Retains the worker slot for the entire runtime duration.

False: Releases the worker slot and delegates the monitoring logic to the Triggerer service.

Note: The Airflow Triggerer service must be running.
wait_for_job_max_attempts INT 10 The maximum number of attempts to identify active jobs through auto-discovery.
wait_for_job_interval INT 5 The time (in seconds) between each attempt to discover active jobs.
wait_for_job_initial_delay INT 10 The time (in seconds) that the task should wait before attempting to discover the relevant job. This delay allows for the job to be created in the Pipeline.

The following table lists the methods that the HevoSensor provides:

Method Description
execute Runs the monitoring logic for the Pipeline job. The execution flow is decided by the deferrable parameter.
_get_job_id Obtains the ID of the job to be monitored through the job_id parameter or by auto-discovery using the job_type parameter.
poke Checks if the job being monitored, through explicit job ID or auto-discovery, has completed. The job statuses that the method monitors are:

- JobCompletionStatus.COMPLETED: Job completed successfully.

- JobCompletionStatus.COMPLETED_WITH_FAILURES: Job finished with some failures.

- JobCompletionStatus.FAILED: Job failed, cancelled, skipped, or deferred with failure.

- JobCompletionStatus.PENDING: Job is still running.
execute_complete Handles the trigger completion event, validating the event, and logging the results.

Example

The following example creates two HevoSensor tasks: wait_for_sync and wait_for_historical_sync.

  • The wait_for_sync task runs for a specific job ID. This ID, generated by the trigger_sync task, is retrieved from Airflow’s cross-communication (XCom) storage.

  • The wait_for_historical_sync task runs in the auto-discovery mode. It retrieves the relevant job ID from the Hevo Pipeline using the job_type parameter.

from airflow.hevo.sensors.hevo_sensor import HevoSensor
from airflow.hevo.models.job import JobType

# With explicit job_id from XCom
wait_for_job = HevoSensor(
    task_id="wait_for_sync",
    pipeline_id=123,
    job_id="{{ ti.xcom_pull(task_ids='trigger_sync') }}",
    poke_interval=10,
    accept_completed_with_failures=True,
    deferrable=True,
    timeout=3600  # Airflow sensor parameter
)

# With auto-discovery
auto_discover_sensor = HevoSensor(
    task_id="wait_for_historical_sync",
    pipeline_id=456,
    job_type=JobType.HISTORICAL,
    wait_for_job_initial_delay=15,
    wait_for_job_max_attempts=20,
    wait_for_job_interval=5,
    deferrable=True
)

Revision History

Refer to the following table for the list of key updates made to this page:

Date Release Description of Change
Feb-20-2026 NA New document.
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