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The following commit(s) were added to refs/heads/main by this push:
     new 6da9b0c88a3 Unquote executor airflow.cfg variable to fix #48042 
(#48064)
6da9b0c88a3 is described below

commit 6da9b0c88a32b18c4ee449b3740688247d3f7479
Author: Dheeraj Turaga <[email protected]>
AuthorDate: Fri Mar 21 15:49:44 2025 -0500

    Unquote executor airflow.cfg variable to fix #48042 (#48064)
    
    When setting the executor in the Airflow configuration file (airflow.cfg), 
using executor='LocalExecutor,CeleryExecutor' causes a failure, while using 
executor = LocalExecutor,CeleryExecutor works correctly.
    
    closes: #48042
---
 airflow-core/docs/core-concepts/executor/index.rst | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/airflow-core/docs/core-concepts/executor/index.rst 
b/airflow-core/docs/core-concepts/executor/index.rst
index af9d205e509..821ec2f391f 100644
--- a/airflow-core/docs/core-concepts/executor/index.rst
+++ b/airflow-core/docs/core-concepts/executor/index.rst
@@ -130,17 +130,17 @@ Some examples of valid multiple executor configuration:
 .. code-block:: ini
 
     [core]
-    executor = 'LocalExecutor'
+    executor = LocalExecutor
 
 .. code-block:: ini
 
     [core]
-    executor = 'LocalExecutor,CeleryExecutor'
+    executor = LocalExecutor,CeleryExecutor
 
 .. code-block:: ini
 
     [core]
-    executor = 'KubernetesExecutor,my.custom.module.ExecutorClass'
+    executor = KubernetesExecutor,my.custom.module.ExecutorClass
 
 
 .. note::
@@ -151,7 +151,7 @@ To make it easier to specify executors on tasks and dags, 
executor configuration
 .. code-block:: ini
 
     [core]
-    executor = 'LocalExecutor,ShortName:my.custom.module.ExecutorClass'
+    executor = LocalExecutor,ShortName:my.custom.module.ExecutorClass
 
 .. note::
     If a DAG specifies a task to use an executor that is not configured, the 
DAG will fail to parse and a warning dialog will be shown in the Airflow UI. 
Please ensure that all executors you wish to use are specified in Airflow 
configuration on *any* host/container that is running an Airflow component 
(scheduler, workers, etc).

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