branch_datetime_operator

Example DAG demonstrating the usage of DateTimeBranchOperator with datetime as well as time objects as targets.

Airflow Fundamentals


Providers:

Run this DAG

1. Install the Astronomer CLI:Skip if you already have the CLI

2. Initate the project in a local directory:

3. Copy and paste the code below into a file in the

dags
directory.

4. Run the DAG from the local directory where the project was initiated:

#
# 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 DateTimeBranchOperator with datetime as well as time objects as
targets.
"""
import datetime
from airflow import DAG
from airflow.operators.datetime import BranchDateTimeOperator
from airflow.operators.dummy import DummyOperator
dag = DAG(
dag_id="example_branch_datetime_operator",
start_date=datetime.datetime(2021, 1, 1),
catchup=False,
tags=["example"],
schedule_interval="@daily",
)
# [START howto_branch_datetime_operator]
dummy_task_1 = DummyOperator(task_id='date_in_range', dag=dag)
dummy_task_2 = DummyOperator(task_id='date_outside_range', dag=dag)
cond1 = BranchDateTimeOperator(
task_id='datetime_branch',
follow_task_ids_if_true=['date_in_range'],
follow_task_ids_if_false=['date_outside_range'],
target_upper=datetime.datetime(2020, 10, 10, 15, 0, 0),
target_lower=datetime.datetime(2020, 10, 10, 14, 0, 0),
dag=dag,
)
# Run dummy_task_1 if cond1 executes between 2020-10-10 14:00:00 and 2020-10-10 15:00:00
cond1 >> [dummy_task_1, dummy_task_2]
# [END howto_branch_datetime_operator]
dag = DAG(
dag_id="example_branch_datetime_operator_2",
start_date=datetime.datetime(2021, 1, 1),
catchup=False,
tags=["example"],
schedule_interval="@daily",
)
# [START howto_branch_datetime_operator_next_day]
dummy_task_1 = DummyOperator(task_id='date_in_range', dag=dag)
dummy_task_2 = DummyOperator(task_id='date_outside_range', dag=dag)
cond2 = BranchDateTimeOperator(
task_id='datetime_branch',
follow_task_ids_if_true=['date_in_range'],
follow_task_ids_if_false=['date_outside_range'],
target_upper=datetime.time(0, 0, 0),
target_lower=datetime.time(15, 0, 0),
dag=dag,
)
# Since target_lower happens after target_upper, target_upper will be moved to the following day
# Run dummy_task_1 if cond2 executes between 15:00:00, and 00:00:00 of the following day
cond2 >> [dummy_task_1, dummy_task_2]
# [END howto_branch_datetime_operator_next_day]