datasync_1

This is an example dag for using AWSDataSyncOperator in a straightforward manner.

Data Processing


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. Add the following to your

requirements.txt
file:

5. 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.
"""
This is an example dag for using `AWSDataSyncOperator` in a straightforward manner.
This DAG gets an AWS TaskArn for a specified source and destination, and then attempts to execute it.
It assumes there is a single task returned and does not do error checking (eg if multiple tasks were found).
This DAG relies on the following environment variables:
* SOURCE_LOCATION_URI - Source location URI, usually on premises SMB or NFS
* DESTINATION_LOCATION_URI - Destination location URI, usually S3
"""
from os import getenv
from airflow import models
from airflow.providers.amazon.aws.operators.datasync import AWSDataSyncOperator
from airflow.utils.dates import days_ago
# [START howto_operator_datasync_1_args_1]
TASK_ARN = getenv("TASK_ARN", "my_aws_datasync_task_arn")
# [END howto_operator_datasync_1_args_1]
# [START howto_operator_datasync_1_args_2]
SOURCE_LOCATION_URI = getenv("SOURCE_LOCATION_URI", "smb://hostname/directory/")
DESTINATION_LOCATION_URI = getenv("DESTINATION_LOCATION_URI", "s3://mybucket/prefix")
# [END howto_operator_datasync_1_args_2]
with models.DAG(
"example_datasync_1_1",
schedule_interval=None, # Override to match your needs
start_date=days_ago(1),
tags=['example'],
) as dag:
# [START howto_operator_datasync_1_1]
datasync_task_1 = AWSDataSyncOperator(
aws_conn_id="aws_default", task_id="datasync_task_1", task_arn=TASK_ARN
)
# [END howto_operator_datasync_1_1]
with models.DAG(
"example_datasync_1_2",
start_date=days_ago(1),
schedule_interval=None, # Override to match your needs
) as dag:
# [START howto_operator_datasync_1_2]
datasync_task_2 = AWSDataSyncOperator(
aws_conn_id="aws_default",
task_id="datasync_task_2",
source_location_uri=SOURCE_LOCATION_URI,
destination_location_uri=DESTINATION_LOCATION_URI,
)
# [END howto_operator_datasync_1_2]