Using Python to Operate Amazon DocumentDB

To use Python to operate Amazon DocumentDB database connections, insert, query, modify, and delete data, you need to install the 'pymongo' and 'boto3' class libraries. The following is an example Python code for operating Amazon DocumentDB: 1. Connect to the Amazon DocumentDB database: python import pymongo import ssl #Set connection parameters client = pymongo.MongoClient("<cluster_endpoint>", ssl_cert_reqs=ssl.CERT_NONE) #Create Database db = client["mydatabase"] #Create Collection collection = db["mycollection"] 2. Insert data: python #Insert a document document = {"name": "John", "age": 30} collection.insert_one(document) #Insert multiple documents documents = [ {"name": "Alice", "age": 25}, {"name": "Bob", "age": 35} ] collection.insert_many(documents) 3. Query data: python #Query all documents result = collection.find() for document in result: print(document) #Query documents with specific criteria result = collection.find({"name": "John"}) for document in result: print(document) 4. Modify data: python #Modify the first document that meets the criteria collection.update_one({"name": "John"}, {"$set": {"age": 40}}) #Modify all documents that meet the criteria collection.update_many({"name": "John"}, {"$set": {"age": 40}}) 5. Delete data: python #Delete the first document that meets the criteria collection.delete_one({"name": "John"}) #Delete all eligible documents collection.delete_many({"name": "John"}) Attention:<cluster_ Endpoint>` needs to be replaced with the connection string of your Amazon DocumentDB cluster. The above are some basic operation examples, and you can further explore the functions of the 'pymongo' and 'boto3' class libraries according to your own needs.