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Posted to commits@airflow.apache.org by jo...@apache.org on 2023/02/21 20:36:28 UTC
[airflow] 01/01: FIx formatting of Dataset inlet/outlet note in TaskFlow concepts
This is an automated email from the ASF dual-hosted git repository.
joshfell pushed a commit to branch josh-fell-patch-1
in repository https://gitbox.apache.org/repos/asf/airflow.git
commit 773f21d95e3f3281f9d4ddfb4e3280c7553a1006
Author: Josh Fell <48...@users.noreply.github.com>
AuthorDate: Tue Feb 21 15:36:17 2023 -0500
FIx formatting of Dataset inlet/outlet note in TaskFlow concepts
---
docs/apache-airflow/core-concepts/taskflow.rst | 5 +++--
1 file changed, 3 insertions(+), 2 deletions(-)
diff --git a/docs/apache-airflow/core-concepts/taskflow.rst b/docs/apache-airflow/core-concepts/taskflow.rst
index 92daf5dd5c..6f46cdb4cd 100644
--- a/docs/apache-airflow/core-concepts/taskflow.rst
+++ b/docs/apache-airflow/core-concepts/taskflow.rst
@@ -91,9 +91,10 @@ need to be able to be serialized. Airflow out of the box supports all built-in t
supports objects that are decorated with ``@dataclass`` or ``@attr.define``. The following example shows the use of
a ``Dataset``, which is ``@attr.define`` decorated, together with TaskFlow.
-::
+.. note::
+
+ An additional benefit of using ``Dataset`` is that it automatically registers as an ``inlet`` in case it is used as an input argument. It also auto registers as an ``outlet`` if the return value of your task is a ``dataset`` or a ``list[Dataset]]``.
- Note: An additional benefit of using ``Dataset`` is that it automatically registers as an ``inlet`` in case it is used as an input argument. It also auto registers as an ``outlet`` if the return value of your task is a ``dataset`` or a ``list[Dataset]]``.
.. code-block:: python