Schema Evolution — Managing API Schema Changes Over Time
DodaTech
Updated 2026-06-28
1 min read
In this tutorial, you'll learn about Schema Evolution. We cover key concepts, practical examples, and best practices to help you understand and apply this topic effectively.
Schema evolution manages how API data structures change over time, ensuring backward compatibility while enabling new features through careful field management.
| Change | Compatible | Strategy |
|---|---|---|
| Add field | Yes | Optional, new field number |
| Remove field | No | Deprecate + remove later |
| Rename field | No | Add new, deprecate old |
| Change type | No | New field with new name |
from typing import Dict, Any, Optional
tracker = SchemaTracker("User")
tracker.add_field("id", "string", required=True)
tracker.add_field("name", "string", required=True)
tracker.add_field("email", "string", required=False)
tracker.deprecate_field("status", "Use state instead")
tracker.add_field("state", "string", required=False)
report = tracker.get_evolution_report()
print(f"Fields: {report['active_fields']}")
print(f"Deprecated: {report['deprecated_fields']}")
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Database Versioning — Managing Schema Changes Across API Versions
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API Versioning Tools — Tooling and Automation for Version Management
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