929 lines
28 KiB
Markdown
929 lines
28 KiB
Markdown
---
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description: Migrate API to new version with compatibility layers and automated scripts
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shortcut: migrate
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---
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# Migrate API Version
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Orchestrate comprehensive API version migrations with automated compatibility layers, breaking change detection, and zero-downtime deployment strategies. This command manages the complete lifecycle of API evolution from initial analysis through deployment and deprecation.
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## Design Decisions
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**Architecture Approach:**
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- Version routing at API gateway level for clean separation
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- Adapter pattern for backward compatibility transformations
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- Feature flags for gradual rollout control
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- Automated test generation across all supported versions
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**Alternatives Considered:**
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- Hard cutover migration (rejected: high risk, no rollback)
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- Separate API endpoints per version (rejected: operational complexity)
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- GraphQL federation (chosen for microservices architectures)
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- BFF pattern for client-specific migrations
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## When to Use
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**USE when:**
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- Introducing breaking changes to API contracts
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- Deprecating legacy endpoints with controlled timelines
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- Migrating between API paradigms (REST to GraphQL)
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- Evolving data models with backward incompatible changes
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- Implementing new authentication mechanisms
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- Consolidating multiple API versions
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**DON'T USE when:**
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- Adding backward-compatible endpoints (use versioned routes)
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- Making internal refactoring without contract changes
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- Deploying hotfixes or security patches
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- Changes affect only implementation, not interface
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## Prerequisites
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**Required:**
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- Complete OpenAPI/GraphQL schema for both versions
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- Comprehensive API test suite with >80% coverage
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- Version control with tagged releases
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- Deployment pipeline with rollback capability
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- API gateway with routing rules support
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- Monitoring and alerting infrastructure
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**Recommended:**
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- Consumer registry with contact information
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- Deprecation policy documented and communicated
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- Traffic analysis showing endpoint usage patterns
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- Backward compatibility test matrix
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- Canary deployment environment
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## Migration Process
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**Step 1: Analysis and Impact Assessment**
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- Scan API schemas to detect breaking changes
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- Analyze usage patterns from API logs
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- Identify affected consumers and endpoints
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- Calculate complexity score for migration effort
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- Generate compatibility matrix between versions
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**Step 2: Compatibility Layer Generation**
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- Create adapter functions for data transformation
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- Generate request/response mappers automatically
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- Build version-specific validation schemas
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- Implement fallback logic for missing fields
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- Create deprecation warning middleware
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**Step 3: Migration Script Creation**
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- Generate database migration scripts for schema changes
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- Create data backfill scripts for new required fields
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- Build rollback procedures for each migration step
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- Generate test fixtures for both API versions
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- Create automated smoke tests for critical paths
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**Step 4: Routing and Deployment Configuration**
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- Configure API gateway version routing rules
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- Set up feature flags for gradual rollout
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- Implement traffic splitting for canary deployment
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- Configure monitoring dashboards for version metrics
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- Set up deprecation warning headers and logs
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**Step 5: Validation and Monitoring**
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- Execute automated test suite across all versions
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- Verify backward compatibility with consumer tests
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- Monitor error rates and performance metrics
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- Track adoption rates for new version
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- Schedule deprecation timeline communications
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## Output Format
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```yaml
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migration_plan:
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api_name: "User Service API"
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source_version: "v1"
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target_version: "v2"
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breaking_changes:
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- endpoint: "/users"
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change_type: "field_removed"
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field: "username"
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severity: "high"
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affected_consumers: 15
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- endpoint: "/users/{id}"
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change_type: "response_structure"
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details: "Nested address object"
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severity: "medium"
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affected_consumers: 8
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compatibility_layer:
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adapters_generated: 12
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transformation_functions: 8
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fallback_strategies: 5
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migration_scripts:
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- script: "001_add_email_unique_constraint.sql"
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type: "database"
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rollback: "001_rollback_email_constraint.sql"
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- script: "002_backfill_address_objects.js"
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type: "data_transformation"
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estimated_time: "15 minutes"
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deployment_strategy:
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type: "canary"
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phases:
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- name: "internal_testing"
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traffic_percentage: 0
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duration: "3 days"
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- name: "early_adopters"
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traffic_percentage: 10
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duration: "1 week"
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- name: "general_rollout"
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traffic_percentage: 100
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duration: "2 weeks"
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deprecation_timeline:
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warning_start: "2024-01-01"
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support_end: "2024-06-30"
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sunset_date: "2024-12-31"
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notification_plan: "Email + dashboard banner"
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monitoring:
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dashboards:
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- "API Version Adoption Metrics"
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- "Error Rate by Version"
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- "Response Time Comparison"
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alerts:
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- "V2 error rate > 5%"
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- "V1 traffic spike (rollback indicator)"
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```
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## Code Examples
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### Example 1: REST API v1 to v2 Migration with Breaking Changes
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```javascript
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// API v1 → v2 Migration: User endpoint restructure
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// BREAKING: Flattened user object to nested structure
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// Source: /api/v1/users/{id}
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{
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"id": 123,
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"name": "John Doe",
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"email": "john@example.com",
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"street": "123 Main St",
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"city": "San Francisco",
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"state": "CA",
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"zip": "94105"
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}
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// Target: /api/v2/users/{id}
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{
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"id": 123,
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"name": "John Doe",
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"email": "john@example.com",
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"address": {
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"street": "123 Main St",
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"city": "San Francisco",
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"state": "CA",
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"postalCode": "94105"
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},
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"metadata": {
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"createdAt": "2024-01-15T10:30:00Z",
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"version": "v2"
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}
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}
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// Generated Compatibility Adapter
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class UserV1ToV2Adapter {
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transform(v1Response) {
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return {
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id: v1Response.id,
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name: v1Response.name,
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email: v1Response.email,
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address: {
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street: v1Response.street,
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city: v1Response.city,
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state: v1Response.state,
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postalCode: v1Response.zip // Field renamed
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},
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metadata: {
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createdAt: v1Response.created_at || new Date().toISOString(),
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version: "v2"
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}
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};
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}
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reverseTransform(v2Response) {
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// For backward compatibility when v1 clients hit v2
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return {
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id: v2Response.id,
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name: v2Response.name,
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email: v2Response.email,
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street: v2Response.address?.street || "",
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city: v2Response.address?.city || "",
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state: v2Response.address?.state || "",
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zip: v2Response.address?.postalCode || ""
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};
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}
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}
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// API Gateway Routing Configuration
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const routingRules = {
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"/api/v1/users/:id": {
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target: "/api/v2/users/:id",
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adapter: "UserV1ToV2Adapter",
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deprecationWarning: {
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header: "Deprecation",
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value: "API v1 will be sunset on 2024-12-31. Migrate to v2.",
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link: "https://docs.example.com/api-migration"
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}
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}
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};
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// Migration Script: Database Schema Evolution
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// 001_restructure_user_addresses.sql
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BEGIN;
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-- Create new address table for normalized structure
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CREATE TABLE user_addresses (
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id SERIAL PRIMARY KEY,
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user_id INTEGER REFERENCES users(id),
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street VARCHAR(255),
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city VARCHAR(100),
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state VARCHAR(2),
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postal_code VARCHAR(10),
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created_at TIMESTAMP DEFAULT NOW()
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);
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-- Migrate existing flat data to nested structure
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INSERT INTO user_addresses (user_id, street, city, state, postal_code)
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SELECT id, street, city, state, zip
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FROM users
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WHERE street IS NOT NULL;
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-- Add foreign key to users table
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ALTER TABLE users ADD COLUMN address_id INTEGER REFERENCES user_addresses(id);
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UPDATE users u
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SET address_id = ua.id
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FROM user_addresses ua
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WHERE u.id = ua.user_id;
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-- Deprecate old columns (don't drop yet for rollback safety)
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ALTER TABLE users
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ALTER COLUMN street DROP NOT NULL,
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ALTER COLUMN city DROP NOT NULL,
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ALTER COLUMN state DROP NOT NULL,
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ALTER COLUMN zip DROP NOT NULL;
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COMMIT;
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-- Rollback Script: 001_rollback_restructure.sql
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BEGIN;
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UPDATE users u
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SET street = ua.street,
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city = ua.city,
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state = ua.state,
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zip = ua.postal_code
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FROM user_addresses ua
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WHERE u.address_id = ua.id;
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ALTER TABLE users DROP COLUMN address_id;
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DROP TABLE user_addresses;
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COMMIT;
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```
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### Example 2: GraphQL Schema Evolution
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```graphql
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# Schema v1 (Deprecated)
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type User {
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id: ID!
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username: String! # DEPRECATED: Replaced by email
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email: String
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fullName: String
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}
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type Query {
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user(id: ID!): User
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users: [User!]!
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}
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# Schema v2 (Current)
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type Address {
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street: String!
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city: String!
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state: String!
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postalCode: String!
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country: String!
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}
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type User {
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id: ID!
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email: String! # Now required, primary identifier
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username: String @deprecated(reason: "Use email instead. Removed in v3.")
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profile: UserProfile!
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address: Address
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}
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type UserProfile {
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firstName: String!
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lastName: String!
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displayName: String!
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avatar: String
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}
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type Query {
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user(id: ID, email: String): User # Multiple lookup options
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users(filter: UserFilter): [User!]!
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}
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input UserFilter {
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email: String
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city: String
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state: String
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}
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# Schema v3 (Planned)
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type User {
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id: ID!
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email: String!
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profile: UserProfile!
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addresses: [Address!]! # Now supports multiple addresses
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}
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# Migration Resolver Implementation
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const resolvers = {
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Query: {
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user: async (_, args, context) => {
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const version = context.apiVersion;
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if (version === 'v1') {
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// Legacy lookup by username
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const user = await db.users.findByUsername(args.id);
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return {
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...user,
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username: user.username, // Still supported in v1
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fullName: `${user.firstName} ${user.lastName}`
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};
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} else {
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// Modern lookup by email or ID
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const user = await db.users.findOne({
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where: args.email ? { email: args.email } : { id: args.id }
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});
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return user;
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}
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}
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},
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User: {
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// Compatibility field resolver for deprecated username
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username: (user, args, context) => {
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if (context.apiVersion === 'v1') {
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return user.username;
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}
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// Add deprecation warning to response headers
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context.res.set('Deprecation', 'username field is deprecated. Use email.');
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return user.username || user.email.split('@')[0];
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},
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// Transform flat structure to nested for v2+
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profile: (user) => ({
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firstName: user.firstName || user.fullName?.split(' ')[0],
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lastName: user.lastName || user.fullName?.split(' ')[1],
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displayName: user.fullName,
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avatar: user.avatar
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})
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}
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};
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// Automated Schema Compatibility Tests
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describe('GraphQL Schema Migration Tests', () => {
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test('v1 clients can still query with username', async () => {
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const query = `query { user(id: "johndoe") { username email } }`;
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const result = await executeQuery(query, { apiVersion: 'v1' });
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expect(result.data.user.username).toBe('johndoe');
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});
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test('v2 clients receive nested profile structure', async () => {
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const query = `query { user(email: "john@example.com") { profile { firstName lastName } } }`;
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const result = await executeQuery(query, { apiVersion: 'v2' });
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expect(result.data.user.profile.firstName).toBe('John');
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});
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test('deprecated fields trigger warning headers', async () => {
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const query = `query { user(id: "123") { username } }`;
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const { response } = await executeQueryWithHeaders(query, { apiVersion: 'v2' });
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expect(response.headers.get('Deprecation')).toContain('username field is deprecated');
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});
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});
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```
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### Example 3: gRPC Service Versioning
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```protobuf
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// service_v1.proto (Deprecated)
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syntax = "proto3";
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package user.v1;
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message User {
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int32 id = 1;
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string username = 2;
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string email = 3;
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string full_name = 4;
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}
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message GetUserRequest {
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int32 id = 1;
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}
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message GetUserResponse {
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User user = 1;
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}
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service UserService {
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rpc GetUser(GetUserRequest) returns (GetUserResponse);
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}
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// service_v2.proto (Current)
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syntax = "proto3";
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package user.v2;
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import "google/protobuf/timestamp.proto";
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message Address {
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string street = 1;
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string city = 2;
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string state = 3;
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string postal_code = 4;
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string country = 5;
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}
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message UserProfile {
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string first_name = 1;
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string last_name = 2;
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string display_name = 3;
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string avatar_url = 4;
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}
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message User {
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int32 id = 1;
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string email = 2;
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UserProfile profile = 3;
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Address address = 4;
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google.protobuf.Timestamp created_at = 5;
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google.protobuf.Timestamp updated_at = 6;
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}
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message GetUserRequest {
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oneof identifier {
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int32 id = 1;
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string email = 2;
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}
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}
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message GetUserResponse {
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User user = 1;
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}
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service UserService {
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rpc GetUser(GetUserRequest) returns (GetUserResponse);
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rpc ListUsers(ListUsersRequest) returns (ListUsersResponse);
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}
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// Compatibility Bridge Service
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package user.bridge;
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import "user/v1/service.proto";
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import "user/v2/service.proto";
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class UserServiceBridge {
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constructor() {
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this.v2Service = new user.v2.UserServiceClient('localhost:50052');
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}
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// Implement v1 interface while calling v2 backend
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async GetUser(call, callback) {
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const v1Request = call.request;
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// Transform v1 request to v2 format
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const v2Request = {
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id: v1Request.id
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};
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try {
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const v2Response = await this.v2Service.GetUser(v2Request);
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const v2User = v2Response.user;
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// Transform v2 response back to v1 format
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const v1User = {
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id: v2User.id,
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username: v2User.email.split('@')[0], // Synthesize username
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email: v2User.email,
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full_name: v2User.profile.display_name
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};
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callback(null, { user: v1User });
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// Log deprecation warning
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console.warn(`[DEPRECATED] v1 API used by client ${call.getPeer()}`);
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} catch (error) {
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callback(error);
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}
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}
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}
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// Envoy gRPC Gateway Configuration for Version Routing
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static_resources:
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listeners:
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- name: user_service_listener
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address:
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socket_address:
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address: 0.0.0.0
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port_value: 50051
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filter_chains:
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- filters:
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- name: envoy.filters.network.http_connection_manager
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typed_config:
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"@type": type.googleapis.com/envoy.extensions.filters.network.http_connection_manager.v3.HttpConnectionManager
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stat_prefix: grpc_json
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codec_type: AUTO
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route_config:
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name: local_route
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virtual_hosts:
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- name: user_service
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domains: ["*"]
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routes:
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# Route v1 requests to compatibility bridge
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- match:
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prefix: "/user.v1.UserService"
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route:
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cluster: user_service_v1_bridge
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timeout: 30s
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# Route v2 requests to native service
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- match:
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prefix: "/user.v2.UserService"
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route:
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cluster: user_service_v2
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timeout: 30s
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clusters:
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- name: user_service_v1_bridge
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connect_timeout: 1s
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type: STRICT_DNS
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lb_policy: ROUND_ROBIN
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http2_protocol_options: {}
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load_assignment:
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cluster_name: user_service_v1_bridge
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endpoints:
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- lb_endpoints:
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- endpoint:
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address:
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socket_address:
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address: user-bridge-service
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port_value: 50051
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- name: user_service_v2
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connect_timeout: 1s
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type: STRICT_DNS
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lb_policy: ROUND_ROBIN
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http2_protocol_options: {}
|
|
load_assignment:
|
|
cluster_name: user_service_v2
|
|
endpoints:
|
|
- lb_endpoints:
|
|
- endpoint:
|
|
address:
|
|
socket_address:
|
|
address: user-service-v2
|
|
port_value: 50052
|
|
|
|
// Migration Testing Framework
|
|
describe('gRPC API Migration Tests', () => {
|
|
const v1Client = new user.v1.UserServiceClient('localhost:50051');
|
|
const v2Client = new user.v2.UserServiceClient('localhost:50052');
|
|
|
|
test('v1 clients receive compatible responses', async () => {
|
|
const request = new user.v1.GetUserRequest({ id: 123 });
|
|
const response = await v1Client.GetUser(request);
|
|
|
|
expect(response.user.username).toBeDefined();
|
|
expect(response.user.email).toBeDefined();
|
|
expect(response.user.full_name).toBeDefined();
|
|
});
|
|
|
|
test('v2 clients receive enhanced data structures', async () => {
|
|
const request = new user.v2.GetUserRequest({ email: 'john@example.com' });
|
|
const response = await v2Client.GetUser(request);
|
|
|
|
expect(response.user.profile).toBeDefined();
|
|
expect(response.user.profile.first_name).toBeDefined();
|
|
expect(response.user.address).toBeDefined();
|
|
});
|
|
|
|
test('data consistency between versions', async () => {
|
|
const userId = 123;
|
|
|
|
const v1Response = await v1Client.GetUser({ id: userId });
|
|
const v2Response = await v2Client.GetUser({ id: userId });
|
|
|
|
// Verify transformed data matches
|
|
expect(v1Response.user.email).toBe(v2Response.user.email);
|
|
expect(v1Response.user.full_name).toBe(v2Response.user.profile.display_name);
|
|
});
|
|
});
|
|
```
|
|
|
|
## Configuration Options
|
|
|
|
**Basic Usage:**
|
|
```bash
|
|
/migrate-api \
|
|
--source=v1 \
|
|
--target=v2 \
|
|
--api-spec=openapi.yaml \
|
|
--consumers=consumer-registry.json
|
|
```
|
|
|
|
**Available Options:**
|
|
|
|
`--strategy <type>` - Migration deployment strategy
|
|
- `canary` - Gradual traffic shifting (default, safest)
|
|
- `blue-green` - Instant switchover with rollback capability
|
|
- `rolling` - Progressive deployment across instances
|
|
- `feature-flag` - Application-controlled version selection
|
|
- `parallel-run` - Run both versions, compare results
|
|
|
|
`--compatibility-mode <mode>` - Backward compatibility approach
|
|
- `adapter` - Transform requests/responses between versions (default)
|
|
- `proxy` - Route old endpoints to new implementation
|
|
- `shim` - Minimal compatibility layer, consumers must adapt
|
|
- `none` - No compatibility, hard cutover (dangerous)
|
|
|
|
`--deprecation-period <duration>` - Support window for old version
|
|
- `3months` - Short deprecation (minor changes)
|
|
- `6months` - Standard deprecation (default)
|
|
- `12months` - Extended support (major changes)
|
|
- `custom:YYYY-MM-DD` - Specific sunset date
|
|
|
|
`--breaking-changes-policy <policy>` - How to handle breaking changes
|
|
- `require-adapters` - Force compatibility layer generation
|
|
- `warn-consumers` - Send notifications, allow migration time
|
|
- `block-deployment` - Prevent deploy until consumers updated
|
|
- `document-only` - Just update documentation
|
|
|
|
`--traffic-split <percentage>` - Initial new version traffic
|
|
- Default: `0` (dark launch)
|
|
- Range: 0-100
|
|
- Example: `10` for 10% canary deployment
|
|
|
|
`--rollback-threshold <percentage>` - Error rate trigger for auto-rollback
|
|
- Default: `5` (5% error rate)
|
|
- Range: 1-50
|
|
- Example: `2` for strict quality requirements
|
|
|
|
`--test-coverage-required <percentage>` - Minimum test coverage before deploy
|
|
- Default: `80`
|
|
- Range: 0-100
|
|
- Blocks deployment if coverage below threshold
|
|
|
|
`--generate-migration-guide` - Create consumer migration documentation
|
|
- Generates markdown guide with code examples
|
|
- Includes breaking change summaries
|
|
- Provides timeline and support contacts
|
|
|
|
`--dry-run` - Simulate migration without making changes
|
|
- Analyze breaking changes
|
|
- Generate compatibility report
|
|
- Estimate migration effort
|
|
- No actual deployment
|
|
|
|
## Error Handling
|
|
|
|
**Common Errors and Solutions:**
|
|
|
|
**Error: Breaking changes detected without compatibility layer**
|
|
```
|
|
ERROR: 15 breaking changes detected in target API version
|
|
- Removed field: User.username (affects 12 endpoints)
|
|
- Changed type: Order.total (string → number)
|
|
- Renamed endpoint: /users/search → /users/find
|
|
|
|
Solution: Either:
|
|
1. Add --compatibility-mode=adapter to generate transformers
|
|
2. Create manual adapters in adapters/ directory
|
|
3. Use --breaking-changes-policy=warn-consumers for grace period
|
|
```
|
|
|
|
**Error: Consumer test failures in compatibility mode**
|
|
```
|
|
ERROR: 3 consumer integration tests failed with v2 adapter
|
|
- AcmeApp: Expected username field, received null
|
|
- BetaCorp: Response schema validation failed
|
|
- GammaInc: Authentication token format mismatch
|
|
|
|
Solution:
|
|
1. Review consumer test failures: npm run test:consumers
|
|
2. Update adapters to handle edge cases
|
|
3. Contact affected consumers for migration coordination
|
|
4. Use --traffic-split=0 for dark launch until resolved
|
|
```
|
|
|
|
**Error: Database migration rollback required**
|
|
```
|
|
ERROR: Migration script 003_add_foreign_keys.sql failed
|
|
Constraint violation: user_addresses.user_id references missing users
|
|
|
|
Solution:
|
|
1. Execute rollback: psql -f 003_rollback.sql
|
|
2. Fix data inconsistencies: npm run data:cleanup
|
|
3. Re-run migration with --validate-data flag
|
|
4. Check migration logs: tail -f logs/migration.log
|
|
```
|
|
|
|
**Error: Traffic spike indicating rollback needed**
|
|
```
|
|
WARNING: v1 traffic increased from 10% to 45% in 5 minutes
|
|
Possible rollback from consumers due to v2 issues
|
|
|
|
Solution:
|
|
1. Check v2 error rates: /metrics/api/v2/errors
|
|
2. Review recent v2 deployment logs
|
|
3. Pause traffic shift: kubectl patch deployment api-gateway --type=json -p='[{"op":"replace","path":"/spec/template/spec/containers/0/env/1/value","value":"10"}]'
|
|
4. Investigate root cause before continuing rollout
|
|
```
|
|
|
|
**Error: Incompatible schema versions in distributed system**
|
|
```
|
|
ERROR: Service A running v2 schema, Service B still on v1
|
|
Message deserialization failed: unknown field 'profile'
|
|
|
|
Solution:
|
|
1. Implement schema registry: npm install @kafkajs/schema-registry
|
|
2. Use forward-compatible schemas with optional fields
|
|
3. Deploy with version negotiation: --enable-version-negotiation
|
|
4. Coordinate deployment order across services
|
|
```
|
|
|
|
## Best Practices
|
|
|
|
**DO:**
|
|
- Start with comprehensive API usage analysis before planning migration
|
|
- Generate automated compatibility tests for all breaking changes
|
|
- Implement feature flags for granular control over version activation
|
|
- Use semantic versioning and clearly communicate breaking changes
|
|
- Monitor error rates and latency separately for each API version
|
|
- Maintain detailed migration documentation with timelines
|
|
- Create rollback procedures and test them before deployment
|
|
- Send deprecation warnings months before sunset dates
|
|
- Provide sandbox environments for consumers to test migrations
|
|
- Use API gateways for centralized version routing and monitoring
|
|
|
|
**DON'T:**
|
|
- Deploy breaking changes without backward compatibility period
|
|
- Remove deprecated endpoints immediately after new version launch
|
|
- Skip comprehensive testing of compatibility layers under load
|
|
- Assume all consumers will migrate quickly (expect stragglers)
|
|
- Make multiple major version jumps simultaneously
|
|
- Ignore consumer feedback during migration planning
|
|
- Deploy migrations during peak traffic periods
|
|
- Use hard deadlines without grace period extensions
|
|
- Forget to version your database schema along with API
|
|
- Mix multiple unrelated breaking changes in single version
|
|
|
|
**TIPS:**
|
|
- Use OpenAPI diff tools to automatically detect breaking changes
|
|
- Implement consumer registry to track who uses which endpoints
|
|
- Add X-API-Version header to all responses for debugging
|
|
- Create automated alerts for unexpected version usage patterns
|
|
- Use GraphQL deprecation directives for gradual field removal
|
|
- Maintain change logs with migration impact assessments
|
|
- Build compatibility dashboards showing adoption rates
|
|
- Provide SDK updates simultaneously with API versions
|
|
- Consider GraphQL for more flexible schema evolution
|
|
- Use contract testing to verify consumer compatibility
|
|
|
|
## Related Commands
|
|
|
|
- `/api-contract-generator` - Generate OpenAPI specs from code
|
|
- `/api-versioning-manager` - Manage multiple API versions
|
|
- `/api-documentation-generator` - Update docs for new versions
|
|
- `/api-monitoring-dashboard` - Track version adoption metrics
|
|
- `/api-security-scanner` - Audit security across versions
|
|
- `/api-load-tester` - Performance test both versions
|
|
- `/api-sdk-generator` - Create client libraries for v2
|
|
|
|
## Performance Considerations
|
|
|
|
**Migration Performance Impact:**
|
|
- Compatibility adapters add 5-20ms latency per request
|
|
- Dual-write patterns during migration can double database load
|
|
- Traffic splitting requires load balancer state management
|
|
- Monitoring overhead increases with multiple active versions
|
|
|
|
**Optimization Strategies:**
|
|
- Cache adapter transformation results for identical requests
|
|
- Use asynchronous migration for non-critical data changes
|
|
- Implement read-through caches for backward compatibility lookups
|
|
- Batch database migrations during low-traffic windows
|
|
- Pre-warm caches before traffic switch to new version
|
|
- Use connection pooling to handle parallel version load
|
|
- Consider edge caching for frequently accessed compatibility transformations
|
|
|
|
**Capacity Planning:**
|
|
- Expect 20-30% overhead during dual-version support period
|
|
- Plan for 2x database capacity during migration window
|
|
- Allocate extra API gateway resources for routing logic
|
|
- Monitor memory usage in compatibility layer services
|
|
- Scale horizontally rather than vertically for version isolation
|
|
|
|
## Security Considerations
|
|
|
|
**Version Transition Security:**
|
|
- Audit authentication mechanisms for compatibility breaks
|
|
- Verify authorization rules apply consistently across versions
|
|
- Scan for security vulnerabilities in compatibility adapters
|
|
- Review CORS policies for new version endpoints
|
|
- Update API keys and tokens if authentication changes
|
|
- Test rate limiting separately per API version
|
|
- Ensure TLS/SSL certificates cover new version domains
|
|
- Validate input sanitization in transformation layers
|
|
- Check for data leakage in error messages across versions
|
|
- Review audit logging captures version information
|
|
|
|
**Security Checklist:**
|
|
- [ ] Authentication backward compatible or migration path clear
|
|
- [ ] Authorization policies tested with both version payloads
|
|
- [ ] Sensitive data transformations don't expose information
|
|
- [ ] Rate limiting prevents abuse of compatibility layers
|
|
- [ ] API keys revocation works across all versions
|
|
- [ ] Security headers consistent across versions
|
|
- [ ] OWASP Top 10 validated for new endpoints
|
|
- [ ] Penetration testing completed for v2 before public launch
|
|
|
|
## Troubleshooting Guide
|
|
|
|
**Issue: Consumers report intermittent failures after migration**
|
|
- Check load balancer health checks for version endpoints
|
|
- Verify DNS propagation completed for new version domains
|
|
- Review session affinity settings (sticky sessions may cause issues)
|
|
- Confirm database connection pools sized for dual version load
|
|
- Check for race conditions in data migration scripts
|
|
|
|
**Issue: Adapter performance degrading over time**
|
|
- Monitor adapter service memory for leaks
|
|
- Check for unbounded cache growth in transformation layer
|
|
- Review database query performance for compatibility lookups
|
|
- Consider pre-computing common transformations
|
|
- Profile adapter code for inefficient object mapping
|
|
|
|
**Issue: Version metrics not appearing in dashboard**
|
|
- Verify X-API-Version header added to all responses
|
|
- Check logging configuration captures version metadata
|
|
- Confirm monitoring agents updated to track new version
|
|
- Review metric aggregation rules in monitoring system
|
|
- Ensure API gateway properly tags requests by version
|
|
|
|
**Issue: Rollback triggered unexpectedly**
|
|
- Review error rate thresholds (may be too sensitive)
|
|
- Check if external service outages affected v2 only
|
|
- Verify rollback threshold uses appropriate time windows
|
|
- Investigate false positives in health checks
|
|
- Review deployment timing vs. traffic pattern changes
|
|
|
|
## Version History
|
|
|
|
**v1.0.0** (2024-01-15)
|
|
- Initial release with REST API migration support
|
|
- Basic compatibility adapter generation
|
|
- Canary deployment strategy
|
|
- OpenAPI 3.0 diff analysis
|
|
|
|
**v1.1.0** (2024-02-10)
|
|
- Added GraphQL schema evolution support
|
|
- Implemented automatic deprecation warning injection
|
|
- Enhanced consumer notification system
|
|
- Added rollback automation based on error thresholds
|
|
|
|
**v1.2.0** (2024-03-05)
|
|
- gRPC service versioning support with Envoy integration
|
|
- Blue-green deployment strategy option
|
|
- Database schema migration with automated rollback
|
|
- Consumer registry integration for impact analysis
|
|
|
|
**v1.3.0** (2024-04-20)
|
|
- Feature flag integration for gradual rollout control
|
|
- Enhanced compatibility testing framework
|
|
- Performance optimization for adapter transformations
|
|
- Multi-region migration coordination
|
|
|
|
**v2.0.0** (2024-06-15)
|
|
- Complete rewrite of adapter generation engine
|
|
- Support for complex data transformation scenarios
|
|
- Integration with major API gateway platforms
|
|
- Real-time migration dashboard with adoption metrics
|
|
- Automated consumer SDK generation for new versions
|
|
|
|
**v2.1.0** (2024-08-30) - Current
|
|
- AI-powered breaking change impact analysis
|
|
- Automated migration guide generation
|
|
- Enhanced security scanning for version transitions
|
|
- Support for WebSocket and Server-Sent Events migration
|
|
- Contract testing automation across API versions
|