OCI Stream Processing Delay when Using Python Client Library for Kafka
I need some guidance on Quick question that's been bugging me - I'm experiencing important delays when processing messages from an OCI Streaming service using the Python client library. I have a consumer set up to read from a specific stream, but the messages are not being processed in real-time as expected. Instead of receiving messages almost instantly, there seems to be a delay of several seconds, sometimes up to a minute, before they are consumed. Here’s a snippet of how I'm consuming messages: ```python import oci import time stream_client = oci.streaming.StreamClient(config) stream_id = 'your_stream_id' while True: try: response = stream_client.get_messages(stream_id, 10, 'your_cursor') for message in response.data: process_message(message) print(f'Processed message: {message}') time.sleep(1) # Delay to control consumption rate except oci.exceptions.ServiceError as e: print(f'behavior receiving messages: {e}') ``` I’ve tried adjusting the `time.sleep()` duration, but it doesn’t seem to affect the delay significantly. I've also looked into the configuration settings for the stream itself and confirmed that the stream is set to a high throughput. The partition scheme is simple, with only one partition at the moment. Is there something specific I am missing in the configuration or implementation that could be causing these delays? Additionally, the consumer group I'm using isn't configured with any specific offsets, so I wonder if that could be part of the question. I’ve also verified there are no network issues between the client and the streaming service. Any insights or suggestions would be greatly appreciated! Any pointers in the right direction?