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airflow_dag_mongodb_insert_and_find_with_mongohook.py
pythonThis example DAG demonstrates how to use the MongoHook to
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airflow_dag_mongodb_insert_and_find_with_mongohook.py
1import datetime
2
3from airflow import DAG
4from airflow.decorators import task
5from airflow.providers.mongo.hooks.mongo import MongoHook
6
7with DAG(
8 dag_id="example_mongo_provider",
9 schedule=None,
10 start_date=datetime.datetime(2023, 1, 1),
11 catchup=False,
12) as dag:
13
14 @task
15 def insert_to_mongo():
16 """
17 Example task using MongoHook to insert a document into a collection.
18 Requires a 'mongo_default' connection to be configured in Airflow.
19 """
20 hook = MongoHook(mongo_conn_id="mongo_default")
21 client = hook.get_conn()
22
23 # Access a database and collection
24 db = client.test_db
25 collection = db.test_collection
26
27 # Insert a sample document
28 result = collection.insert_one({"test_key": "test_value", "timestamp": datetime.datetime.now()})
29 print(f"Inserted document with ID: {result.inserted_id}")
30
31 @task
32 def find_from_mongo():
33 """
34 Example task using MongoHook to find a document.
35 """
36 hook = MongoHook(mongo_conn_id="mongo_default")
37
38 # Using the find method directly from the hook
39 docs = hook.find(
40 collection_name="test_collection",
41 query={"test_key": "test_value"},
42 mongo_db="test_db"
43 )
44
45 for doc in docs:
46 print(f"Found document: {doc}")
47
48 insert_to_mongo() >> find_from_mongo()