Uploading a file to Yandex Object Storage

Use a directed acyclic graph (DAG) to upload files to Yandex Object Storage.

Create a bucket for uploading filesCreate a bucket for uploading files

1. Create an Object Storage bucket named username-airflow to upload your files to.
2. Grant airflow-sa the READ and WRITE permissions for the bucket you created.

Prepare the DAG file and run the graphPrepare the DAG file and run the graph

1. Create a local file named upload_file_to_s3.py and paste the following script to it:

   from airflow.decorators import dag, task
   import boto3
   import botocore
   import botocore.config
   import yandexcloud
   
   
   def _upload_file_to_s3(bucket_name: str, object_path: str, content: str):
       sdk = yandexcloud.SDK()
   
       def provide_cloud_auth_header(request, **kwargs):
           request.headers.add_header("X-YaCloud-SubjectToken", sdk._channels._token_requester.get_token())
   
       session = boto3.Session()
       session.events.register('request-created.s3.*', provide_cloud_auth_header)
       client = session.resource(
           "s3",
           endpoint_url="https://storage.yandexcloud.net",
           config=botocore.config.Config(
               signature_version=botocore.UNSIGNED,
               retries=dict(
                   max_attempts=5,
                   mode="standard",
               ),
           ),
       )
       client.Bucket(name=bucket_name).put_object(Key=object_path, Body=content)
   
   
   @dag(schedule=None)
   def upload_file_to_s3():
       @task
       def upload():
           _upload_file_to_s3(
               bucket_name="username-airflow",
               object_path="data/airflow.txt",
               content="Hello from Managed Airflow!"
           )
   
       upload()
   
   
   upload_file_to_s3()
   
   

2. Upload the upload_file_to_s3.py DAG file to the first bucket you created. This will automatically create a graph with the same name in the Apache Airflow™ web interface.

3. Open the Apache Airflow™ web interface.

4. Make sure a new graph named upload_file_to_s3 has appeared in the DAGs section.

   It may take a few minutes to load a DAG file from the bucket.

5. To run the graph, click in the line with its name.

Check the resultCheck the result

Using the Object Storage web interface, check that the file is in the username-airflow bucket.