This is an automated email from the ASF dual-hosted git repository.
eladkal pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/airflow.git
The following commit(s) were added to refs/heads/main by this push:
new 0ff0645d761 Remove note about airflow 2.7.0 from docs (#72913)
0ff0645d761 is described below
commit 0ff0645d761ddbdea049561bdb99c7c50c29511f
Author: Elad Kalif <[email protected]>
AuthorDate: Fri Sep 11 05:15:06 2026 +0300
Remove note about airflow 2.7.0 from docs (#72913)
---
providers/celery/docs/celery_executor.rst | 7 -------
providers/celery/docs/celery_kubernetes_executor.rst | 7 -------
providers/cncf/kubernetes/docs/kubernetes_executor.rst | 8 --------
providers/cncf/kubernetes/docs/local_kubernetes_executor.rst | 7 -------
4 files changed, 29 deletions(-)
diff --git a/providers/celery/docs/celery_executor.rst
b/providers/celery/docs/celery_executor.rst
index 045cec72c9f..98a342880fe 100644
--- a/providers/celery/docs/celery_executor.rst
+++ b/providers/celery/docs/celery_executor.rst
@@ -18,13 +18,6 @@
Celery Executor
===============
-.. note::
-
- As of Airflow 2.7.0, you need to install the ``celery`` provider package
to use this executor.
- This can be done by installing ``apache-airflow-providers-celery>=3.3.0``
or by installing Airflow
- with the ``celery`` extra: ``pip install 'apache-airflow[celery]'``.
-
-
``CeleryExecutor`` is one of the ways you can scale out the number of workers.
For this
to work, you need to setup a Celery backend (**RabbitMQ**, **Redis**, **Redis
Sentinel** ...),
install the required dependencies (such as ``librabbitmq``, ``redis`` ...) and
diff --git a/providers/celery/docs/celery_kubernetes_executor.rst
b/providers/celery/docs/celery_kubernetes_executor.rst
index 2ad5dbca8c5..f08901b6d1f 100644
--- a/providers/celery/docs/celery_kubernetes_executor.rst
+++ b/providers/celery/docs/celery_kubernetes_executor.rst
@@ -18,13 +18,6 @@
CeleryKubernetes Executor
=========================
-.. note::
-
- As of Airflow 2.7.0, you need to install both the ``celery`` and
``cncf.kubernetes`` provider package to use
- this executor. This can be done by installing
``apache-airflow-providers-celery>=3.3.0`` and
- ``apache-airflow-providers-cncf-kubernetes>=7.4.0`` or by installing
Airflow
- with the ``celery`` and ``cncf.kubernetes`` extras: ``pip install
'apache-airflow[celery,cncf.kubernetes]'``.
-
.. note::
``CeleryKubernetesExecutor`` is no longer supported starting from Airflow
3.0.0. You can use the
diff --git a/providers/cncf/kubernetes/docs/kubernetes_executor.rst
b/providers/cncf/kubernetes/docs/kubernetes_executor.rst
index 3cfa72dfd47..50f68181dcf 100644
--- a/providers/cncf/kubernetes/docs/kubernetes_executor.rst
+++ b/providers/cncf/kubernetes/docs/kubernetes_executor.rst
@@ -21,14 +21,6 @@
Kubernetes Executor
===================
-.. note::
-
- As of Airflow 2.7.0, you need to install the ``cncf.kubernetes`` provider
package to use
- this executor. This can done by installing
``apache-airflow-providers-cncf-kubernetes>=7.4.0``
- or by installing Airflow with the ``cncf.kubernetes`` extras:
- ``pip install 'apache-airflow[cncf.kubernetes]'``.
-
-
The Kubernetes executor runs each task instance in its own pod on a Kubernetes
cluster.
KubernetesExecutor runs as a process in the Airflow Scheduler. The scheduler
itself does
diff --git a/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
b/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
index 8f600418a9f..760daa06edb 100644
--- a/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
+++ b/providers/cncf/kubernetes/docs/local_kubernetes_executor.rst
@@ -21,13 +21,6 @@
LocalKubernetes Executor
=========================
-.. note::
-
- As of Airflow 2.7.0, you need to install the ``cncf.kubernetes`` provider
package to use
- this executor. This can be done by installing
``apache-airflow-providers-cncf-kubernetes>=7.4.0``
- or by installing Airflow with the ``cncf.kubernetes`` extras:
- ``pip install 'apache-airflow[cncf.kubernetes]'``.
-
.. note::
``LocalKubernetesExecutor`` is no longer supported starting from Airflow
3.0.0. You can use the