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Posted to commits@airflow.apache.org by je...@apache.org on 2024/04/26 23:00:17 UTC
(airflow) 01/48: Fix typo with DatasetOrTimeSchedule as it was renamed (#38576)
This is an automated email from the ASF dual-hosted git repository.
jedcunningham pushed a commit to branch v2-9-test
in repository https://gitbox.apache.org/repos/asf/airflow.git
commit 1d40343286864942f32f4be6a7e3789790ea2fc2
Author: Ankit Chaurasia <86...@users.noreply.github.com>
AuthorDate: Thu Mar 28 11:31:32 2024 +0545
Fix typo with DatasetOrTimeSchedule as it was renamed (#38576)
(cherry picked from commit 9a5974af48a8253d0e71bc2ab3179ee62371348b)
---
docs/apache-airflow/authoring-and-scheduling/datasets.rst | 6 ++----
1 file changed, 2 insertions(+), 4 deletions(-)
diff --git a/docs/apache-airflow/authoring-and-scheduling/datasets.rst b/docs/apache-airflow/authoring-and-scheduling/datasets.rst
index 354a69ff7e..1102420dd4 100644
--- a/docs/apache-airflow/authoring-and-scheduling/datasets.rst
+++ b/docs/apache-airflow/authoring-and-scheduling/datasets.rst
@@ -330,8 +330,6 @@ Combining Dataset and Time-Based Schedules
DatasetTimetable Integration
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-With the introduction of ``DatasetTimetable``, it is now possible to schedule DAGs based on both dataset events and time-based schedules. This feature offers flexibility for scenarios where a DAG needs to be triggered by data updates as well as run periodically according to a fixed timetable.
+With the introduction of ``DatasetOrTimeSchedule``, it is now possible to schedule DAGs based on both dataset events and time-based schedules. This feature offers flexibility for scenarios where a DAG needs to be triggered by data updates as well as run periodically according to a fixed timetable.
-For more detailed information on ``DatasetTimetable`` and its usage, refer to the corresponding section in :ref:`DatasetTimetable <dataset-timetable-section>`.
-
-These examples illustrate how Airflow's conditional dataset expressions can be used to create complex data-dependent scheduling scenarios, providing precise control over when DAGs are triggered in response to data updates.
+For more detailed information on ``DatasetOrTimeSchedule`` and its usage, refer to the corresponding section in :ref:`DatasetOrTimeSchedule <dataset-timetable-section>`.