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Docs typo and capitalization fixes (#33176)
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lzdanski committed Aug 7, 2023
1 parent 0e076dc commit d8b8202
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Showing 4 changed files with 5 additions and 5 deletions.
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Expand Up @@ -102,7 +102,7 @@ Limitations

.. note::
You need Airflow >= 1.10.10 for completely stateless Webserver.
Airflow 1.10.7 to 1.10.9 needed access to Dag files in some cases.
Airflow 1.10.7 to 1.10.9 needed access to DAG files in some cases.
More Information: https://airflow.apache.org/docs/1.10.9/dag-serialization.html#limitations

Using a different JSON Library
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4 changes: 2 additions & 2 deletions docs/apache-airflow/howto/add-dag-tags.rst
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Expand Up @@ -28,7 +28,7 @@ The filter is saved in a cookie and can be reset by the reset button.

For example:

In your Dag file, pass a list of tags you want to add to DAG object:
In your DAG file, pass a list of tags you want to add to the DAG object:

.. code-block:: python
Expand All @@ -39,6 +39,6 @@ In your Dag file, pass a list of tags you want to add to DAG object:

.. image:: ../img/add-dag-tags.png

Tags are registered as part of dag parsing.
Tags are registered as part of DAG parsing.
In case of stale tags, you can purge old data with the Airflow CLI command ``airflow db clean``.
See :ref:`db clean usage<cli-db-clean>` for more details.
2 changes: 1 addition & 1 deletion docs/apache-airflow/ui.rst
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Expand Up @@ -28,7 +28,7 @@ DAGs View
.........
List of the DAGs in your environment, and a set of shortcuts to useful pages.
You can see exactly how many tasks succeeded, failed, or are currently
running at a glance. To hide completed tasks set show_recent_stats_for_completed_runs = False
running at a glance. To hide completed tasks set ``show_recent_stats_for_completed_runs = False``

In order to filter DAGs (e.g by team), you can add tags in each DAG.
The filter is saved in a cookie and can be reset by the reset button.
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2 changes: 1 addition & 1 deletion docs/docker-stack/build.rst
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Expand Up @@ -349,7 +349,7 @@ You should be aware, about a few things:
The DAGs in production image are in ``/opt/airflow/dags`` folder.

* You can build your image without any need for Airflow sources. It is enough that you place the
``Dockerfile`` and any files that are referred to (such as Dag files) in a separate directory and run
``Dockerfile`` and any files that are referred to (such as DAG files) in a separate directory and run
a command ``docker build . --pull --tag my-image:my-tag`` (where ``my-image`` is the name you want to name it
and ``my-tag`` is the tag you want to tag the image with.

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