Originally published on: https://dev.to/ibmdeveloper/ibm-developer-tips-week-2-46la
In just a few lines I was able to use the Cloudant Python SDK to quickly seed a database with 1400 entries from a YAML file.
Pro-tip: Make sure you’re using the Replay429Adapter in your client or you’ll surely hit a Rate Limit Error
import yaml from cloudant import Cloudant from cloudant.adapters import Replay429Adapter username = "foo" password = "bar" url = "baz" client = Cloudant(username, password, url=url, connect=True, adapter=Replay429Adapter(retries=10, initialBackoff=0.01)) client.connect() db = client.create_database("repos", throw_on_exists=False) with open("repos.yaml", 'r') as stream: data_loaded = yaml.safe_load(stream) for entry in data_loaded['repos']: db.create_document(entry)
Read more about the Cloudant DBaaS on IBM Cloud.