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import boto3 | |
s3 = boto3.resource('s3') | |
def upload_file_to_S3(filename, key, bucket_name): | |
s3.Bucket(bucket_name).upload_file(filename, key) |
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mkdir airflow_project | |
cd airflow_project | |
virutalenv venv | |
source venv/bin/activate | |
mkdir airflow_home |
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from airflow import DAG | |
from airflow.operators import DummyOperator, PythonOperator | |
default_args = { | |
'owner': 'arnaud', | |
'start_date': datetime(2019, 1, 1), | |
'retry_delay': timedelta(minutes=5) | |
} | |
# Using the context manager alllows you not to duplicate the dag parameter in each operator | |
with DAG('S3_dag_test', default_args=default_args, schedule_interval='@once') as dag: |
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upload_to_S3_task = PythonOperator( | |
task_id='upload_to_S3', | |
python_callable=upload_file_to_S3, | |
op_kwargs={ | |
'filename': 'path/to/my_file.csv', | |
'key': 'my_S3_file.csv', | |
'bucket_name': 'my-S3-bucket', | |
}, | |
dag=my_dag) |
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import airflow.hooks.S3_hook | |
def upload_file_to_S3_with_hook(filename, key, bucket_name): | |
hook = airflow.hooks.S3_hook.S3Hook('my_S3_conn') | |
hook.load_file(filename, key, bucket_name) |