GitHub user frHimanshu added a comment to the discussion: How to handle large-scale schema changes in Polaris?"
### Welcome to the open-source community and Apache Polaris! Managing large-scale schema changes can seem challenging, but Polaris provides some great features to make it easier. Here’s how you can approach it: 1. Use Schema Versions: Polaris supports maintaining different versions of schemas. Always make changes step by step and keep older versions available to avoid breaking anything. 2. Leverage Apache Iceberg Features: Polaris works with Apache Iceberg, which offers tools for schema evolution—like adding, renaming, or removing columns—without affecting older data. 3. Test Changes in a Safe Environment: Before applying schema changes to your main system, test them in a sandbox or staging environment. This helps detect issues early. 4. Document Your Changes: Keep a record of the changes you make and share it with your team or contributors. This ensures everyone is on the same page. 5. Automate with CI/CD Pipelines: If possible, use tools or scripts to automate schema updates. This minimizes human error and ensures consistency across environments. By following these steps, you can handle schema changes smoothly while keeping your data safe and consistent. Feel free to ask more questions if you need further help! GitHub link: https://github.com/apache/polaris/discussions/1446#discussioncomment-12938176 ---- This is an automatically sent email for issues@polaris.apache.org. To unsubscribe, please send an email to: issues-unsubscr...@polaris.apache.org
