Database Management
4. Database Management & Sync
4.1. Migrating an Initial Database
Import Guidelines
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Preparing Your Dataset
- Recommended initial dataset size: 1,000 - 5,000 records
- Supported formats:
{ "formats": ["CSV"] }
- Maximum file size: 100MB per upload
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Data Structure Requirements
field1,field2,field3,field4,field5 value1,value2,value3,... ...
[!NOTE] ๐ธ Screenshot Needed: Data structure validation interface
Import Process
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Using the Sync Interface
# API endpoint for data import POST /api/v1/database/import # Supported query parameters ?chunk_size=1000 ?validate_only=true ?dry_run=true
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Batch Processing
- Automatic chunking of large datasets
- Progress tracking and resumability
- Validation before import
[!NOTE] ๐ธ Screenshot Needed: Import progress interface with status indicators
Anti-Abuse Measures
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Rate Limiting
{ "limits": { "requests_per_minute": 60, "concurrent_imports": 1, "max_file_size": "100MB", "max_records_per_import": 10000 } }
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Data Validation
- Schema validation
- Duplicate detection
- Malicious content scanning
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Access Control
{ "permissions": { "import": ["admin", "data_manager"], "validate": ["admin", "data_manager", "viewer"], "export": ["admin", "data_manager", "subscriber"] } }
[!NOTE] ๐ Diagram Needed: Security and validation flow chart
4.2. Post-Sync Verification
Data Integrity Checks
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Automated Verification
# Run integrity check yarn verify-data # Check specific tables yarn verify-data --table=users # Generate verification report yarn verify-data --report
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Verification Metrics
{ "metrics": { "total_records": "integer", "failed_records": "integer", "duplicate_count": "integer", "missing_required_fields": "array", "invalid_format_fields": "array" } }
[!NOTE] ๐ธ Screenshot Needed: Data verification dashboard
Common Migration Issues
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Data Type Mismatches
{ "common_issues": { "date_format": "Use ISO 8601 (YYYY-MM-DD)", "number_format": "Use decimal point, not comma", "boolean_values": ["true/false", "1/0", "yes/no"] } }
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Character Encoding
- Use UTF-8 encoding
- Handle special characters
- Convert legacy encodings
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Missing Relations
{ "relation_checks": { "foreign_keys": "Ensure referenced records exist", "unique_constraints": "Check for duplicates", "required_associations": "Verify all required relations" } }
Troubleshooting Tools
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Logging and Monitoring
# View import logs yarn logs:import # Monitor sync status yarn sync:status # Debug specific record yarn debug:record --id=<record_id>
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Data Recovery
# Rollback last import yarn rollback:import # Export failed records yarn export:failed # Retry failed records yarn retry:failed
[!NOTE] ๐ธ Screenshot Needed: Troubleshooting dashboard with logs and tools
Best Practices
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Pre-Import Checklist
- Backup existing data
- Validate data structure
- Check system resources
- Schedule during low-traffic periods
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Performance Optimization
{ "optimization_tips": { "chunk_size": "Adjust based on memory", "indexes": "Create necessary indexes before import", "cache": "Clear cache before large imports" } }
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Monitoring Guidelines
- Watch system resources
- Monitor error rates
- Track import progress
- Set up alerts for failures
[!NOTE] ๐ Diagram Needed: Import workflow with monitoring points
Recovery Procedures
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Automatic Recovery
{ "recovery_options": { "auto_retry": "3 attempts", "checkpoint_interval": "1000 records", "rollback_on_failure": true } }
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Manual Intervention
- Export failed records
- Fix data issues
- Retry import
- Verify fixes
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Backup and Restore
# Create backup yarn backup:create # List backups yarn backup:list # Restore from backup yarn backup:restore --id=<backup_id>
[!NOTE] ๐ธ Screenshot Needed: Recovery and backup management interface