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唐香港
airflow-dags-hub
Commits
b1acd358
Commit
b1acd358
authored
Feb 05, 2020
by
唐香港
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example_python_operator.py
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b1acd358
# -*- coding: utf-8 -*-
#
# 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.
from
__future__
import
print_function
import
time
from
builtins
import
range
from
pprint
import
pprint
from
airflow.utils.dates
import
days_ago
from
airflow.models
import
DAG
from
airflow.operators.python_operator
import
PythonOperator
args
=
{
'owner'
:
'wangzhaojun'
,
'start_date'
:
days_ago
(
2
),
}
dag
=
DAG
(
dag_id
=
'example_python_operator'
,
default_args
=
args
,
schedule_interval
=
None
,
tags
=
[
'example'
]
)
# [START howto_operator_python]
def
print_context
(
ds
,
**
kwargs
):
pprint
(
kwargs
)
print
(
ds
)
return
'Whatever you return gets printed in the logs'
run_this
=
PythonOperator
(
task_id
=
'print_the_context'
,
provide_context
=
True
,
python_callable
=
print_context
,
dag
=
dag
,
)
# [END howto_operator_python]
# [START howto_operator_python_kwargs]
def
my_sleeping_function
(
random_base
):
"""This is a function that will run within the DAG execution"""
time
.
sleep
(
random_base
)
# Generate 5 sleeping tasks, sleeping from 0.0 to 0.4 seconds respectively
for
i
in
range
(
5
):
task
=
PythonOperator
(
task_id
=
'sleep_for_'
+
str
(
i
),
python_callable
=
my_sleeping_function
,
op_kwargs
=
{
'random_base'
:
float
(
i
)
/
10
},
dag
=
dag
,
)
run_this
>>
task
# [END howto_operator_python_kwargs]
\ No newline at end of file
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