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docs: use of datasets for airflow >= 2.4 #879

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merged 10 commits into from
Apr 20, 2024
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docs: use of datasets for airflow >= 2.4 #879

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12545f6
Update scheduling.rst
SiddiqueAhmad Mar 5, 2024
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Merge branch 'main' into patch-1
tatiana Mar 7, 2024
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Merge branch 'main' into patch-1
tatiana Mar 8, 2024
bbe13f7
Proper comment added for different airflow versions
SiddiqueAhmad Mar 11, 2024
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Merge branch 'astronomer:main' into patch-1
SiddiqueAhmad Mar 13, 2024
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Merge branch 'main' into patch-1
tatiana Mar 19, 2024
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Merge branch 'astronomer:main' into patch-1
SiddiqueAhmad Mar 21, 2024
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Merge branch 'astronomer:main' into patch-1
SiddiqueAhmad Apr 4, 2024
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Change param name to schedule
SiddiqueAhmad Apr 4, 2024
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10 changes: 6 additions & 4 deletions docs/configuration/scheduling.rst
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Expand Up @@ -17,7 +17,7 @@ To schedule a dbt project on a time-based schedule, you can use Airflow's schedu
jaffle_shop = DbtDag(
# ...
start_date=datetime(2023, 1, 1),
schedule_interval="@daily",
schedule="@daily",
)


Expand Down Expand Up @@ -45,12 +45,14 @@ Then, you can use Airflow's data-aware scheduling capabilities to schedule ``my_
project_one = DbtDag(
# ...
start_date=datetime(2023, 1, 1),
schedule_interval="@daily",
schedule="@daily",
)

project_two = DbtDag(
# ...
schedule_interval=[get_dbt_dataset("my_conn", "project_one", "my_model")],
# for airflow <=2.3
# schedule=[get_dbt_dataset("my_conn", "project_one", "my_model")],
# for airflow > 2.3
schedule=[get_dbt_dataset("my_conn", "project_one", "my_model")],
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dbt_project_name="project_two",
)

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