Here is a fun one: how do you connect from Python in Cloudera Machine Learning to our Kafka datahub cluster?
The documentation is pretty thorough, but it does not have an example of a python client. That's what I'm going to highlight in this article.
The good news is that since CML and Datahub run in the same network, you don't need to worry about opening the broker ports, therefore you just need to follow these steps:
Then, open a session in CML, and use the following parameters:
from kafka import KafkaProducer
producer = KafkaProducer(bootstrap_servers=['<YOUR_BROKER_URL>:9093','<YOUR_BROKER_URL>:9093','<YOUR_BROKER_URL>:9093'],
@pvidal - Thanks for this quick guide.Following scenario for external client TLS connectivity over PAM authentication (SASL_SSL) would be much helpful if added in documentation as an end-to-end reference ;1. As CDP internally manages the Certificate Authority,2. So truststore/keystore credentials are not available with Admins unlike on-premises clusters,3. In that case how to import client certificates for mutual TLS setup,4. Also not able to see 'Get FreeIPA Certificate' though having all roles/account admin access.Thanks,Joy
Obtain the FreeIPA certificate of your environment:
@jagadeesan - Followed the same doc, please refer below screenshot.
I think you are looking in the Data Lake tab which is a different one, you can go to the Summary tab, then scroll down to FreeIPA session then click Actions and get Get FreeIPA Certificate from the drop-down menu. Hope this will help you.