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🎨 [pre-commit.ci] Auto format from pre-commit.com hooks
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pre-commit-ci[bot] committed Oct 11, 2023
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2 changes: 1 addition & 1 deletion docs/getting_started/astro.rst
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Expand Up @@ -110,7 +110,7 @@ In your ``my_cosmos_dag.py`` file, import the ``DbtDag`` class from Cosmos and c
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.. note::
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
This error can be resolved by increasing the value of the Airflow configuration `core.dagbag_import_timeout <https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#dagbag-import-timeout>`_.

Start your project
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2 changes: 1 addition & 1 deletion docs/getting_started/gcc.rst
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Expand Up @@ -80,5 +80,5 @@ Make sure to rename the ``<your-adapter>`` value below to your adapter's Python
.. note::
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
This error can be resolved by increasing the value of the Airflow configuration `core.dagbag_import_timeout <https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#dagbag-import-timeout>`_.
2 changes: 1 addition & 1 deletion docs/getting_started/mwaa.rst
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Expand Up @@ -114,5 +114,5 @@ In your ``my_cosmos_dag.py`` file, import the ``DbtDag`` class from Cosmos and c
.. note::
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
This error can be resolved by increasing the value of the Airflow configuration `core.dagbag_import_timeout <https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#dagbag-import-timeout>`_.
2 changes: 1 addition & 1 deletion docs/getting_started/open-source.rst
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Expand Up @@ -66,5 +66,5 @@ For example, if you wanted to put your dbt project in the ``/usr/local/airflow/d
.. note::
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
In some cases, especially in larger dbt projects, you might run into a ``DagBag import timeout`` error.
This error can be resolved by increasing the value of the Airflow configuration `core.dagbag_import_timeout <https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#dagbag-import-timeout>`_.

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