Source code for airflow.providers.tableau.example_dags.example_tableau

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"""
This is an example dag that performs two refresh operations on a Tableau Workbook aka Extract. The first one
waits until it succeeds. The second does not wait since this is an asynchronous operation and we don't know
when the operation actually finishes. That's why we have another task that checks only that.
"""
from datetime import datetime, timedelta

from airflow import DAG
from airflow.providers.tableau.operators.tableau import TableauOperator
from airflow.providers.tableau.sensors.tableau_job_status import TableauJobStatusSensor

with DAG(
    dag_id='example_tableau',
    default_args={'site_id': 'my_site'},
    dagrun_timeout=timedelta(hours=2),
    schedule_interval=None,
    start_date=datetime(2021, 1, 1),
    tags=['example'],
) as dag:
    # Refreshes a workbook and waits until it succeeds.
    # [START howto_operator_tableau]
    task_refresh_workbook_blocking = TableauOperator(
        resource='workbooks',
        method='refresh',
        find='MyWorkbook',
        match_with='name',
        blocking_refresh=True,
        task_id='refresh_tableau_workbook_blocking',
    )
    # [END howto_operator_tableau]
    # Refreshes a workbook and does not wait until it succeeds.
    task_refresh_workbook_non_blocking = TableauOperator(
        resource='workbooks',
        method='refresh',
        find='MyWorkbook',
        match_with='name',
        blocking_refresh=False,
        task_id='refresh_tableau_workbook_non_blocking',
    )
    # The following task queries the status of the workbook refresh job until it succeeds.
    task_check_job_status = TableauJobStatusSensor(
        job_id=task_refresh_workbook_non_blocking.output,
        task_id='check_tableau_job_status',
    )

    # Task dependency created via XComArgs:
    #   task_refresh_workbook_non_blocking >> task_check_job_status

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