Python 3.10 R&D

This is for upgrading Python and confluent-kafka version

The latest version of Python, 3.10, offers many new features and improvements over the previous version, 3.7. As the end of support for Python 3.7 is approaching, it is essential to update the Python base image to the latest version. This document outlines the steps involved in updating the Python base image version to 3.10 and testing the pipeline components to ensure proper behavior.

Step 1: Updating the Python Base Image

The first step in updating the Python base image is to identify the current version of the base image being used. Once the current version is identified, the next step is to locate the latest version of the base image. In this case, the latest version is Python 3.10.

The next step is to update the Dockerfile or any other configuration files used to build the pipeline to use the latest version of the Python base image.

Step 2: Updating Confluent Kafka

Once the Python base image is updated, the next step is to check if Confluent Kafka is compatible with the new Python version. If Confluent Kafka is not compatible, it may need to be updated to a version that is compatible with Python 3.10.

The update process for Confluent Kafka may vary depending on the platform and environment being used. In general, the process involves updating the Confluent Kafka client libraries to a version that is compatible with Python 3.10. This can typically be done using pip or any other package management tool used in the pipeline.

Step 3: Testing the Pipeline Components

After updating the Python base image and Confluent Kafka, the next step is to test the pipeline components to ensure that everything is working properly. This involves running the pipeline with sample data and verifying that all the components are functioning as expected.

During testing, it is important to pay close attention to any errors or warning messages that may be displayed. Any issues identified during testing should be addressed before moving to production.

Conclusion:

Updating the Python base image version to 3.10 from 3.7 is essential to ensure that the pipeline components are running on a supported and secure version of Python. This update process may also require updating Confluent Kafka to a compatible version. Testing the pipeline components after the update is critical to ensure proper behavior and identify any issues that need to be addressed before moving to production. By following the steps outlined in this document, updating the Python base image version to 3.10 and testing the pipeline components can be done efficiently and effectively.