Azure Python SDK: BlobServiceClient vs. BlobClient?

Question

Most (all?) of the Azure Storage Python SDK examples I've seen demonstrate creating a BlobServiceClient in order to then create a BlobClient for uploading / downloading blobs (ref1, ref2, etc.).

Why create a BlobServiceClient then a BlobClient instead of just directly creating a BlobClient?

Example:

from azure.storage.blob import BlobClient


def create_blob_client(connection_string):
    try:
        blob_client = BlobClient.from_connection_string(connection_string)
    except Exception as e:
        logging.error(f"Error creating Blob Service Client: {e}")
    return blob_client

connection_string = os.environ["CONNECTION_STRING"]

blob_client = create_blob_client(connection_string)

Answer 1

Why create a BlobServiceClient then a BlobClient instead of just directly creating a BlobClient?

BlobClient only allows you to work with blobs so if you want to work with just blobs, you can directly create a BlobClient and work with it. No need for you to create a BlobServiceClient first and then create BlobClient from it.

BlobServiceClient comes into picture If you want to perform operations at the blob service level like setting CORS or list blob containers in a storage account. At that time you will need BlobServiceClient.