Inconsistent MongoDB connection behavior in Python 3.10 with PyMongo in a multi-threaded application
Could someone explain I'm experiencing inconsistent connection behavior when using PyMongo to connect to a MongoDB instance from a multi-threaded application in Python 3.10. Sometimes, my threads are able to connect successfully, but other times I'm getting a `pymongo.errors.ServerSelectionTimeoutError: Could not connect to any servers in <Cluster>.'. I have a connection pool set up, but it seems like the connections aren't being reused as expected, leading to this intermittent connectivity scenario. I've tried modifying the connection string with various parameters like `maxPoolSize` and `retryWrites`, but the question continues. Here's the code snippet I'm using to set up the connection: ```python from pymongo import MongoClient import threading connection_string = 'mongodb://localhost:27017/' client = MongoClient(connection_string, maxPoolSize=5) def insert_data(data): db = client['mydatabase'] collection = db['mycollection'] collection.insert_one(data) threads = [] for i in range(10): thread = threading.Thread(target=insert_data, args=({'index': i},)) threads.append(thread) thread.start() for thread in threads: thread.join() ``` I've also checked that the MongoDB server is configured to accept multiple connections, and the server logs don't show any errors during these connection attempts. Is there something I might be missing in my implementation, or a best practice for managing connections in a multi-threaded context with PyMongo? Any insights would be greatly appreciated! My team is using Python for this CLI tool. Is there a better approach?