OCI Data Flow: implementing Oracle Streams and Real-Time Data Processing in Python
Quick question that's been bugging me - I need some guidance on I'm currently working on a data processing application using OCI Data Flow and I'm working with issues when trying to implement Oracle Streams for real-time data ingestion... My application is written in Python and I've set up the Stream Analytics service to read from my Oracle database. However, I'm working with the following behavior message when attempting to start the data flow: `behavior: Stream 'my_stream' is not found or is not valid.` I've double-checked that the Stream is correctly set up in the OCI console and that my IAM policies allow access to it. Here's a snippet of the code I'm using to define and start the data flow: ```python import oci def start_data_flow(): data_flow_client = oci.data_flow.DataFlowClient(config) response = data_flow_client.start_data_flow( data_flow_id='my_data_flow_id', options={ 'streamId': 'my_stream', 'sourceType': 'oracle', } ) print(response) start_data_flow() ``` I've also verified that I have the correct Stream ID and that my Oracle database is running. Additionally, I've added the required permissions to my OCI policies but still no success. Are there any specific configurations or best practices I might have missed when setting up the Streams service in OCI? Any suggestions on how to resolve this scenario would be greatly appreciated! This is my first time working with Python latest. Could this be a known issue? I'm working on a mobile app that needs to handle this. Thanks for taking the time to read this!