airflow example_mongo_to_s3 源码
airflow example_mongo_to_s3 代码
文件路径：/airflow/providers/amazon/aws/example_dags/example_mongo_to_s3.py
# 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 annotations
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]
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