XD-DENG commented on issue #56271:
URL: https://github.com/apache/airflow/issues/56271#issuecomment-3357222342

   Hi @kaxil , when I was running the same DAG code in 3.0.3, I was already 
using `from airflow.sdk import DAG`. So your hypothesis doesn't seem right to 
me.
   
   Please find the full DAG code below (modified on top of an example DAG):
   
   ```python
   from __future__ import annotations
   
   # [START tutorial]
   # [START import_module]
   import textwrap
   from datetime import datetime, timedelta
   
   # Operators; we need this to operate!
   from airflow.providers.standard.operators.bash import BashOperator
   
   # The DAG object; we'll need this to instantiate a DAG
   from airflow.sdk import DAG
   
   # [END import_module]
   
   
   # [START instantiate_dag]
   with DAG(
       "xd_test",
       # [START default_args]
       # These args will get passed on to each operator
       # You can override them on a per-task basis during operator 
initialization
       default_args={
           "depends_on_past": False,
           "retries": 1,
           "retry_delay": timedelta(minutes=5),
           # 'queue': 'bash_queue',
           # 'pool': 'backfill',
           # 'priority_weight': 10,
           # 'end_date': datetime(2016, 1, 1),
           # 'wait_for_downstream': False,
           # 'execution_timeout': timedelta(seconds=300),
           # 'on_failure_callback': some_function, # or list of functions
           # 'on_success_callback': some_other_function, # or list of functions
           # 'on_retry_callback': another_function, # or list of functions
           # 'sla_miss_callback': yet_another_function, # or list of functions
           # 'on_skipped_callback': another_function, #or list of functions
           # 'trigger_rule': 'all_success'
       },
       # [END default_args]
       description="A simple tutorial DAG",
       schedule=timedelta(days=1),
       start_date=datetime(2021, 1, 1),
       catchup=False,
       tags=["example"],
   ) as dag:
       # [END instantiate_dag]
   
       # t1, t2 and t3 are examples of tasks created by instantiating operators
       # [START basic_task]
       t1 = BashOperator(
           task_id="print_date",
           bash_command="date",
       )
   
       t2 = BashOperator(
           task_id="sleep",
           depends_on_past=False,
           bash_command="sleep 5",
           retries=3,
       )
       # [END basic_task]
   
       # [START documentation]
       t1.doc_md = textwrap.dedent(
           """\
       #### Task Documentation
       You can document your task using the attributes `doc_md` (markdown),
       `doc` (plain text), `doc_rst`, `doc_json`, `doc_yaml` which gets
       rendered in the UI's Task Instance Details page.
       ![img](https://imgs.xkcd.com/comics/fixing_problems.png)
       **Image Credit:** Randall Munroe, [XKCD](https://xkcd.com/license.html)
       """
       )
   
       dag.doc_md = __doc__  # providing that you have a docstring at the 
beginning of the DAG; OR
       dag.doc_md = """
       This is a documentation placed anywhere
       """  # otherwise, type it like this
       # [END documentation]
   
       # [START jinja_template]
       templated_command = textwrap.dedent(
           """
       {% for i in range(5) %}
           echo "{{ ds }}"
           echo "{{ macros.ds_add(ds, 7)}}"
       {% endfor %}
       """
       )
   
       t3 = BashOperator(
           task_id="templated",
           depends_on_past=False,
           bash_command=templated_command,
       )
       # [END jinja_template]
   
       t4 = BashOperator(
           task_id="xd_asked_for_another_task",
           depends_on_past=False,
           bash_command="echo Hi_dude~",
           executor='KubernetesExecutor'
       )
   
       t1 >> [t2, t3]
   # [END tutorial]
   
   
   
   ```


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