BoneArch opened a new issue #14572:
URL: https://github.com/apache/airflow/issues/14572
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**Apache Airflow version**: 2.0.1
**Environment**:
- **Docker Image**: apache/airflow:2.0.1-python3.8
**What happened**:
<!-- (please include exact error messages if you can) -->
```python
from datetime import datetime
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.subdag_operator import SubDagOperator
def print_date(**context):
print(f'ds={context["ds"]}, next_ds={context["next_ds"]},
prev_ds={context["prev_ds"]}')
def test_subdag(parent_dag_name, start_date, schedule_interval):
with DAG(f'{parent_dag_name}.child_dag',
schedule_interval=schedule_interval, start_date=start_date) as sub_dag:
PythonOperator(task_id='inner_test', python_callable=print_date,
provide_context=True)
return sub_dag
with DAG('test_dag', schedule_interval='0 21 * * *',
start_date=datetime(2021, 2, 25)) as dag:
PythonOperator(task_id='outer_test', python_callable=print_date,
provide_context=True)
SubDagOperator(task_id = 'child_dag', subdag=test_subdag(dag.dag_id,
dag.start_date, dag.schedule_interval))
```
Running the above code in 2.0 returns the following result:
```
outer_test => ds=2021-02-25, next_ds=2021-02-26, prev_ds=2021-02-24
inner_test => ds=2021-02-25, next_ds=2021-02-25, prev_ds=2021-02-25
```
**What you expected to happen**:
<!-- What do you think went wrong? -->
Running the above code in 1.10.14 returns the following result:
```
outer_test => ds=2021-02-25, next_ds=2021-02-26, prev_ds=2021-02-24
inner_test => ds=2021-02-25, next_ds=2021-02-26, prev_ds=2021-02-24
```
**How to reproduce it**:
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Run DAG using docker-compose.yml below.
docker-compose.yml
```yaml
version: "3"
services:
redis:
image: 'redis:6-alpine'
volumes:
- redis_data:/data
postgres:
image: "postgres:13-alpine"
environment:
POSTGRES_USER: airflow
POSTGRES_PASSWORD: airflow
POSTGRES_DB: airflow
volumes:
- postgres_data:/var/lib/postgresql/data
webserver:
image: "apache/airflow:2.0.1-python3.8"
depends_on:
- postgres
ports:
- "8080:8080"
env_file:
- ./airflow.env
command: webserver
scheduler:
image: "apache/airflow:2.0.1-python3.8"
depends_on:
- webserver
env_file:
- ./airflow.env
volumes:
- ./dags:/opt/airflow/dags
command: scheduler
worker:
image: "apache/airflow:2.0.1-python3.8"
hostname: 'airflow-worker'
depends_on:
- redis
- scheduler
env_file:
- ./airflow.env
volumes:
- ./dags:/opt/airflow/dags
command: celery worker
flower:
image: "apache/airflow:2.0.1-python3.8"
hostname: 'airflow-flower'
depends_on:
- redis
- worker
env_file:
- ./airflow.env
command: celery flower
volumes:
postgres_data:
redis_data:
```
airflow.env
```
AIRFLOW__CORE__SQL_ALCHEMY_CONN=postgresql+psycopg2://airflow:airflow@postgres/airflow
AIRFLOW__CORE__EXECUTOR=CeleryExecutor
AIRFLOW__CELERY__BROKER_URL=redis://redis:6379/1
AIRFLOW__CELERY__RESULT_BACKEND=db+postgresql://airflow:airflow@postgres/airflow
_AIRFLOW_DB_UPGRADE=True
_AIRFLOW_WWW_USER_CREATE=True
_AIRFLOW_WWW_USER_PASSWORD=password
```
**Anything else we need to know**:
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The problem occurs every time.
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