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AttributeError: 'CeleryKubernetesExecutor' object has no attribute 'send_callback'

See original GitHub issue

Apache Airflow version

2.3.0 (latest released)

What happened

The issue started to occur after upgrading airflow from v2.2.5 to v2.3.0. The schedulers are crashing when DAG’s SLA is configured. Only occurred when I used CeleryKubernetesExecutor. Tested on CeleryExecutor and it works as expected.

Traceback (most recent call last):                                                                                                     
  File "/home/airflow/.local/bin/airflow", line 8, in <module>                                                                         
    sys.exit(main())                                                                                                                   
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/__main__.py", line 38, in main                                        
    args.func(args)                                                                                                                    
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/cli_parser.py", line 51, in command                               
    return func(*args, **kwargs)                                                                                                       
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/utils/cli.py", line 99, in wrapper                                    
    return f(*args, **kwargs)                                                                                                          
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/scheduler_command.py", line 75, in scheduler             
    _run_scheduler_job(args=args)                                                                                                      
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/scheduler_command.py", line 46, in _run_scheduler_job    
    job.run()                                                                                                                          
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/base_job.py", line 244, in run                                   
    self._execute()                                                                                                                    
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/scheduler_job.py", line 736, in _execute                         
    self._run_scheduler_loop()                                                                                                         
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/scheduler_job.py", line 824, in _run_scheduler_loop              
    num_queued_tis = self._do_scheduling(session)                                                                                      
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/scheduler_job.py", line 919, in _do_scheduling                   
    self._send_dag_callbacks_to_processor(dag, callback_to_run)                                                                        
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/scheduler_job.py", line 1179, in _send_dag_callbacks_to_processor
    self._send_sla_callbacks_to_processor(dag)                                                                                         
  File "/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/scheduler_job.py", line 1195, in _send_sla_callbacks_to_processor
    self.executor.send_callback(request)                                                                                               
AttributeError: 'CeleryKubernetesExecutor' object has no attribute 'send_callback'

What you think should happen instead

Work like previous version

How to reproduce

Use CeleryKubernetesExecutor
Configure DAG’s SLA

DAG to reproduce:

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.

"""Example DAG demonstrating the usage of the BashOperator."""

from datetime import datetime, timedelta

from airflow import DAG
from airflow.operators.bash import BashOperator
from airflow.operators.dummy import DummyOperator

DEFAULT_ARGS = {
    "sla": timedelta(hours=1),
}

with DAG(
    dag_id="example_bash_operator",
    default_args=DEFAULT_ARGS,
    schedule_interval="0 0 * * *",
    start_date=datetime(2021, 1, 1),
    catchup=False,
    dagrun_timeout=timedelta(minutes=60),
    tags=["example", "example2"],
    params={"example_key": "example_value"},
) as dag:
    run_this_last = DummyOperator(
        task_id="run_this_last",
    )

    # [START howto_operator_bash]
    run_this = BashOperator(
        task_id="run_after_loop",
        bash_command="echo 1",
    )
    # [END howto_operator_bash]

    run_this >> run_this_last

    for i in range(3):
        task = BashOperator(
            task_id="runme_" + str(i),
            bash_command='echo "{{ task_instance_key_str }}" && sleep 1',
        )
        task >> run_this

    # [START howto_operator_bash_template]
    also_run_this = BashOperator(
        task_id="also_run_this",
        bash_command='echo "run_id={{ run_id }} | dag_run={{ dag_run }}"',
    )
    # [END howto_operator_bash_template]
    also_run_this >> run_this_last

# [START howto_operator_bash_skip]
this_will_skip = BashOperator(
    task_id="this_will_skip",
    bash_command='echo "hello world"; exit 99;',
    dag=dag,
)
# [END howto_operator_bash_skip]
this_will_skip >> run_this_last

if __name__ == "__main__":
    dag.cli()