def setUp(self):
args = {'owner': 'airflow', 'start_date': DEFAULT_DATE}
self.dag = DAG('test_dag_id', default_args=args)
self.mock_operator = MongoToS3Operator(
task_id=TASK_ID,
mongo_conn_id=MONGO_CONN_ID,
s3_conn_id=S3_CONN_ID,
mongo_collection=MONGO_COLLECTION,
mongo_query=MONGO_QUERY,
s3_bucket=S3_BUCKET,
s3_key=S3_KEY,
dag=self.dag)
import os
from airflow import models
from airflow.providers.amazon.aws.transfers.mongo_to_s3 import MongoToS3Operator
from airflow.utils.dates import datetime
S3_BUCKET = os.environ.get("S3_BUCKET", "test-bucket")
S3_KEY = os.environ.get("S3_KEY", "key")
MONGO_DATABASE = os.environ.get("MONGO_DATABASE", "Test")
MONGO_COLLECTION = os.environ.get("MONGO_COLLECTION", "Test")
with models.DAG(
"example_mongo_to_s3",
start_date=datetime(2021, 1, 1),
catchup=False,
) as dag:
# [START howto_transfer_mongo_to_s3]
create_local_to_s3_job = MongoToS3Operator(
task_id="create_mongo_to_s3_job",
mongo_collection=MONGO_COLLECTION,
# Mongo query by matching values
# Here returns all documents which have "OK" as value for the key "status"
mongo_query={"status": "OK"},
s3_bucket=S3_BUCKET,
s3_key=S3_KEY,
mongo_db=MONGO_DATABASE,
replace=True,
)
# [END howto_transfer_mongo_to_s3]