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[ADR] Define API Evolution Strategy for Long-term Compatibility #46
Description
Decision Title
Define API Evolution Strategy for Long-term Compatibility
Status
- Proposed (under consideration)
- Accepted (decision made)
- Superseded (replaced by newer decision)
- Deprecated (no longer relevant)
Context
As the library evolves from version 1.0 through future releases, we need a clear strategy for API evolution that balances innovation with backward compatibility. Without a defined approach, API changes could break existing integrations and reduce confidence in the library's stability.
Decision
Implement a comprehensive API evolution strategy using semantic versioning, deprecation cycles, and compatibility layers to ensure predictable API evolution while enabling innovation and improvement.
Problem Statement
Current challenges in API evolution planning:
- No formal process for introducing breaking changes
- Uncertainty about backward compatibility guarantees
- Lack of clear migration paths for API improvements
- Difficulty balancing innovation with stability
- No guidelines for deprecation and removal timelines
Considered Options
Option 1: Strict Backward Compatibility
Description: Never break backward compatibility, only add new APIs
Pros:
- Maximum stability for existing users
- No migration effort required
- Predictable upgrade path
Cons:
- Accumulation of technical debt
- Inability to fix design mistakes
- API bloat from deprecated methods
- Limited innovation capability
Option 2: Frequent Breaking Changes
Description: Prioritize optimal API design over backward compatibility
Pros:
- Clean, optimal API design
- Rapid innovation and improvement
- No technical debt accumulation
Cons:
- High migration costs for users
- Reduced adoption due to instability
- Fragmented ecosystem versions
- Poor enterprise suitability
Option 3: Managed Evolution with Deprecation Cycles
Description: Balanced approach with planned deprecation and migration support
Pros:
- Balance between stability and innovation
- Clear migration paths and timelines
- Predictable evolution process
- Enterprise-friendly stability
Cons:
- Complexity in managing multiple API versions
- Development overhead for compatibility layers
- Longer development cycles
Decision Rationale
Option 3 (Managed Evolution with Deprecation Cycles) is selected because:
- Provides predictable API evolution for enterprise users
- Enables innovation while maintaining reasonable stability
- Offers clear migration paths and support for API changes
- Aligns with industry best practices for library evolution
- Balances developer productivity with user stability needs
Architecture Impact
Affected Components
- Core API design and interfaces
- All provider implementations
- Configuration system evolution
- Error handling and exception hierarchy
- Documentation and migration guides
- Build system versioning
- Testing and compatibility validation
Breaking Changes
- No breaking changes
- Minor breaking changes (patch release)
- Major breaking changes (major version bump)
Performance Impact
- Performance improvement expected
- Performance neutral
- May degrade performance (requires optimization)
- Unknown performance impact (requires analysis)
Security Impact
- Improves security
- Security neutral
- Potential security implications (requires review)
Implementation Plan
Phase 1: API Stability Framework
- Define API stability annotations and contracts
- Establish semantic versioning guidelines
- Create deprecation policy and procedures
- Implement compatibility testing infrastructure
Phase 2: Evolution Tooling
- Develop API compatibility checking tools
- Create migration guide generation automation
- Implement deprecated API tracking and warnings
- Add version compatibility validation
Phase 3: Documentation and Process
- Create API evolution documentation
- Establish change review and approval process
- Implement community feedback mechanisms
- Create long-term API roadmap
Phase 4: Monitoring and Maintenance
- Monitor deprecated API usage in the wild
- Track migration progress and user feedback
- Refine evolution process based on experience
- Plan and execute API cleanup cycles
Dependencies
- Semantic versioning infrastructure
- API compatibility testing tools
- Documentation generation and maintenance
- Community feedback and communication channels
Effort Estimate
- Large (1-3 months)
Quality Attributes Impact
Performance
Impact: Neutral
Details: Evolution strategy focuses on compatibility, not performance optimization
Reliability
Impact: Positive
Details: Predictable evolution increases confidence and reduces integration risks
Security
Impact: Neutral
Details: No direct security implications from evolution strategy
Maintainability
Impact: Positive
Details: Clear evolution guidelines simplify long-term maintenance decisions
Usability
Impact: Positive
Details: Predictable evolution with migration support improves developer experience
Portability
Impact: Positive
Details: Compatibility layers ensure smooth transitions across versions
Consequences
Positive Consequences
- Predictable API evolution timeline for enterprise planning
- Clear migration paths reducing upgrade friction
- Maintained ecosystem stability while enabling innovation
- Industry-standard practices increasing library credibility
- Long-term sustainability of API design decisions
Negative Consequences
- Additional development overhead for compatibility maintenance
- Longer development cycles for major API improvements
- Complexity in managing multiple API versions simultaneously
- Potential API bloat during transition periods
Risks
-
Risk: Compatibility layers introduce performance overhead
- Impact: Low
- Probability: Medium
- Mitigation: Performance testing, efficient compatibility implementations
-
Risk: Deprecated APIs remain in use longer than planned
- Impact: Medium
- Probability: High
- Mitigation: Usage analytics, community engagement, clear incentives
Validation & Verification
How will this decision be validated?
- Community feedback
- Expert review
- Proof of concept implementation
- Performance benchmarks
- Production testing
Success Criteria
- 95% of users successfully migrate during deprecation cycles
- API evolution decisions approved by architectural review board
- Compatibility testing prevents accidental breaking changes
- Community satisfaction with evolution process >4.0/5
Rollback Plan
If evolution strategy proves problematic:
- Revert to strict backward compatibility for critical APIs
- Accelerate deprecation cycles for non-critical APIs
- Provide comprehensive migration tooling and support
Documentation Requirements
- Architecture Decision Record (ADR-016)
- API documentation update
- Architecture documentation update
- Migration guide (templates and examples)
- Developer guide updates
Stakeholder Impact
Library Users
Impact: Positive - Predictable evolution with clear migration support
Library Contributors
Impact: Neutral - Additional process overhead but clearer development guidelines
Ecosystem Integration
Impact: Positive - Improved stability for framework and tooling integration
Related Decisions
- Connected to configuration management for settings evolution
- Related to SPI provider discovery for provider API evolution
- Dependencies on usability requirements for migration experience
References
Timeline
Target Decision Date: Q1 2025
Target Implementation Date: Q1 2025
Target Release: Version 1.0 (establish framework)
Additional Context
API Stability Annotations
/**
* Marks APIs with their stability level and evolution guarantees
*/
@Target({ElementType.TYPE, ElementType.METHOD, ElementType.FIELD})
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface ApiStability {
Level value();
enum Level {
/**
* Stable API with backward compatibility guarantee.
* Changes follow semantic versioning rules.
*/
STABLE,
/**
* Evolving API that may change in minor versions.
* Deprecated with migration path before removal.
*/
EVOLVING,
/**
* Experimental API that may change frequently.
* No backward compatibility guarantee.
*/
EXPERIMENTAL,
/**
* Deprecated API scheduled for removal.
* Migration path provided.
*/
@Deprecated
DEPRECATED
}
}
// Usage examples
@ApiStability(STABLE)
public interface RangeReader {
@ApiStability(STABLE)
ByteBuffer read(long start, int length) throws IOException;
@ApiStability(EVOLVING)
CompletableFuture<ByteBuffer> readAsync(long start, int length);
@ApiStability(EXPERIMENTAL)
void prefetchHint(long start, int length);
@ApiStability(DEPRECATED)
@Deprecated(since = "1.1", forRemoval = true)
byte[] readBytes(long start, int length);
}Semantic Versioning Guidelines
Version Format: MAJOR.MINOR.PATCH
MAJOR version increment:
- Breaking changes to stable APIs
- Removal of deprecated APIs after minimum 6-month deprecation period
- Architectural changes requiring migration
MINOR version increment:
- New stable APIs
- New evolving APIs
- Deprecation of existing APIs (with migration path)
- Non-breaking enhancements
PATCH version increment:
- Bug fixes without API changes
- Security updates
- Documentation improvements
- Internal optimizations
Deprecation Process
// Step 1: Mark as deprecated with replacement guidance
@Deprecated(since = "1.2", forRemoval = true)
@ApiStability(DEPRECATED)
public void oldMethod() {
// Implementation calls new method
newMethod();
// Log deprecation warning (rate-limited)
DeprecationLogger.logUsage("oldMethod", "1.2", "Use newMethod() instead");
}
// Step 2: Provide migration path
/**
* @deprecated Use {@link #newMethod()} instead.
* This method will be removed in version 2.0.
*
* Migration example:
* <pre>{@code
* // Old code
* reader.oldMethod();
*
* // New code
* reader.newMethod();
* }</pre>
*/
@Deprecated(since = "1.2", forRemoval = true)
public void oldMethod() { ... }
// Step 3: Remove in next major version (after minimum 6 months)Compatibility Testing Strategy
// Automated compatibility validation
@Test
void testApiCompatibility() {
ApiCompatibilityChecker checker = new ApiCompatibilityChecker();
// Load previous version API signature
ApiSignature previousVersion = ApiSignature.load("1.0.0");
ApiSignature currentVersion = ApiSignature.current();
// Check for breaking changes
CompatibilityReport report = checker.compare(previousVersion, currentVersion);
// Ensure no breaking changes in minor/patch versions
if (isMinorOrPatchVersion()) {
assertThat(report.getBreakingChanges()).isEmpty();
}
// Ensure deprecated APIs have migration paths
for (DeprecatedApi api : report.getDeprecatedApis()) {
assertThat(api.getMigrationGuide()).isNotEmpty();
assertThat(api.getRemovalVersion()).isAfter(getCurrentVersion().plus(6, MONTHS));
}
}Migration Support Infrastructure
// Automated migration detection and guidance
public class MigrationAssistant {
public MigrationReport analyzeCode(Path projectPath) {
CodeAnalyzer analyzer = new CodeAnalyzer();
List<ApiUsage> usages = analyzer.findApiUsages(projectPath);
MigrationReport report = new MigrationReport();
for (ApiUsage usage : usages) {
if (usage.isDeprecated()) {
MigrationSuggestion suggestion = createMigrationSuggestion(usage);
report.addSuggestion(suggestion);
}
}
return report;
}
private MigrationSuggestion createMigrationSuggestion(ApiUsage usage) {
return MigrationSuggestion.builder()
.deprecatedApi(usage.getApiSignature())
.replacementApi(usage.getReplacementSignature())
.migrationExample(usage.getMigrationExample())
.automatedRefactoring(usage.getRefactoringScript())
.build();
}
}This architectural decision establishes a foundation for responsible API evolution that balances stability with innovation, providing clear guidelines for long-term library development and user adoption confidence.
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