94 lines
7.4 KiB
Markdown
94 lines
7.4 KiB
Markdown
# Example: Phased Migration Diagram
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## Scenario
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A user asks: "Create a diagram showing our database migration phases with current progress."
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## Generated Diagram
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ DATABASE MIGRATION: MONGODB TO POSTGRESQL │
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│ Target: Q4 2025 Completion │
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└─────────────────────────────────────────────────────────────────────────┘
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PHASE 1: Schema Design & Setup ✓
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Status: COMPLETE Duration: 2w │
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├─────────────────────────────────────────────────────────────────────────┤
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│ ✓ Analyze MongoDB collections and relationships │
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│ ✓ Design PostgreSQL schema with proper normalization │
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│ ✓ Create migration scripts and rollback procedures │
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│ ✓ Set up staging environment with both databases │
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└─────────────────────────────────────────────────────────────────────────┘
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│
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▼
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PHASE 2: Dual-Write Implementation ✓
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Status: COMPLETE Duration: 3w │
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├─────────────────────────────────────────────────────────────────────────┤
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│ ✓ Implement write-through to both MongoDB and PostgreSQL │
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│ ✓ Add feature flags for gradual rollout │
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│ ✓ Deploy to staging and validate data consistency │
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│ ✓ Monitor for performance impact (< 50ms added latency) │
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└─────────────────────────────────────────────────────────────────────────┘
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│
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▼
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PHASE 3: Historical Data Migration ⏳
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Status: IN PROGRESS (60%) Duration: 4w │
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├─────────────────────────────────────────────────────────────────────────┤
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│ ✓ Migrate users collection (2.3M records) │
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│ ✓ Migrate products collection (150K records) │
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│ ⏳ Migrate orders collection (5.2M records) - 60% complete │
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│ Migrate reviews collection (890K records) │
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│ Validate data integrity across all tables │
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└─────────────────────────────────────────────────────────────────────────┘
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│
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▼
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PHASE 4: Read Path Migration
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Status: PENDING Duration: 2w │
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├─────────────────────────────────────────────────────────────────────────┤
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│ Switch read operations to PostgreSQL (feature flag) │
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│ Run parallel queries and compare results │
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│ Gradually increase PostgreSQL read traffic (10% → 100%) │
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│ Monitor query performance and optimize indexes │
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└─────────────────────────────────────────────────────────────────────────┘
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│
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▼
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PHASE 5: Cutover & Cleanup
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┌─────────────────────────────────────────────────────────────────────────┐
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│ Status: PENDING Duration: 1w │
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├─────────────────────────────────────────────────────────────────────────┤
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│ Disable MongoDB writes │
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│ Update all application configuration │
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│ Archive MongoDB data │
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│ Remove dual-write code and feature flags │
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│ Document lessons learned │
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└─────────────────────────────────────────────────────────────────────────┘
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Summary: Phase 3 of 5 │ Overall Progress: ~55% │ On Track for Q4
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Legend:
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✓ = Complete ⏳ = In Progress (blank) = Pending
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```
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## Explanation
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This phased migration diagram provides:
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- **Clear progress visibility**: Status and completion percentage per phase
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- **Detailed tasks**: Specific actions within each phase
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- **Time estimates**: Duration for planning purposes
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- **Overall summary**: Quick status check at the bottom
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The vertical flow shows dependencies between phases while the detailed boxes provide actionable information.
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## Usage Suggestions
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- Include in weekly status updates
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- Add to project management tools
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- Share with stakeholders for progress visibility
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- Update after each milestone completion
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