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# Epic Travel & Expeditions - MongoDB to MySQL Migration Guide
## Overview
This guide helps you migrate the Epic Travel & Expeditions application from MongoDB to MySQL for cPanel deployment.
## Key Differences
### Database Structure
- **MongoDB**: Document-based, collections, flexible schema
- **MySQL**: Table-based, structured schema, relationships
### Data Type Mapping
| MongoDB | MySQL |
|---------|-------|
| _id (ObjectId) | id VARCHAR(36) - UUID |
| String | VARCHAR or TEXT |
| Number | INT, DECIMAL, NUMERIC |
| Date | DATETIME |
| Array | JSON column |
| Object | JSON column |
## Migration Steps
### 1. Export Data from MongoDB
```bash
# Export destinations
mongoexport --db=test_database --collection=destinations --out=destinations.json
# Export specials
mongoexport --db=test_database --collection=specials --out=specials.json
# Export admin_users
mongoexport --db=test_database --collection=admin_users --out=admin_users.json
# Export contacts
mongoexport --db=test_database --collection=contacts --out=contacts.json
# Export newsletter_subscribers
mongoexport --db=test_database --collection=newsletter_subscribers --out=newsletter.json
```
### 2. Transform Data for MySQL
MongoDB documents need to be transformed to match MySQL schema:
**MongoDB Document:**
```json
{
"_id": {"$oid": "507f1f77bcf86cd799439011"},
"name": "Paris",
"rating": 4.9
}
```
**MySQL INSERT:**
```sql
INSERT INTO destinations (id, name, rating)
VALUES ('507f1f77bcf86cd799439011', 'Paris', 4.9);
```
### 3. Code Changes Required
#### Backend Changes
**Old (MongoDB with Motor):**
```python
from motor.motor_asyncio import AsyncIOMotorClient
client = AsyncIOMotorClient(mongo_url)
db = client[os.environ['DB_NAME']]
# Query
destinations = await db.destinations.find().to_list(100)
```
**New (MySQL with SQLAlchemy):**
```python
from sqlalchemy.orm import Session
from database import SessionLocal, Destination
def get_db():
db = SessionLocal()
try:
yield db
finally:
db.close()
# Query
destinations = db.query(Destination).limit(100).all()
```
#### API Route Changes
**Old (Async MongoDB):**
```python
@router.get("/destinations")
async def get_destinations():
destinations = await db.destinations.find().to_list(100)
return destinations
```
**New (Sync MySQL):**
```python
@router.get("/destinations")
def get_destinations(db: Session = Depends(get_db)):
destinations = db.query(Destination).limit(100).all()
return destinations
```
### 4. Environment Variables
**Old (.env for MongoDB):**
```env
MONGO_URL=mongodb://localhost:27017
DB_NAME=test_database
```
**New (.env for MySQL):**
```env
MYSQL_HOST=localhost
MYSQL_PORT=3306
MYSQL_DATABASE=epic_travel
MYSQL_USER=dbuser
MYSQL_PASSWORD=password
```
### 5. Dependencies
**Remove:**
```
motor==3.3.1
pymongo==4.5.0
```
**Add:**
```
PyMySQL>=1.1.0
SQLAlchemy>=2.0.23
```
## Automated Migration Script
```python
#!/usr/bin/env python3
"""
Migrate data from MongoDB to MySQL
"""
from pymongo import MongoClient
from sqlalchemy.orm import Session
from database import engine, SessionLocal, Destination, Special
import uuid
def migrate_destinations():
# Connect to MongoDB
mongo_client = MongoClient('mongodb://localhost:27017')
mongo_db = mongo_client['test_database']
# Connect to MySQL
mysql_db = SessionLocal()
try:
# Get all destinations from MongoDB
mongo_destinations = mongo_db.destinations.find()
for doc in mongo_destinations:
# Transform MongoDB document to SQLAlchemy model
destination = Destination(
id=str(doc.get('id', uuid.uuid4())),
name=doc['name'],
location=doc['location'],
description=doc['description'],
image=doc['image'],
category=doc['category'],
rating=float(doc['rating']),
price=float(doc['price']),
currency=doc.get('currency', 'USD'),
created_at=doc.get('created_at')
)
mysql_db.add(destination)
mysql_db.commit()
print(f"Migrated {mongo_destinations.count()} destinations")
except Exception as e:
mysql_db.rollback()
print(f"Error: {e}")
finally:
mysql_db.close()
mongo_client.close()
if __name__ == "__main__":
migrate_destinations()
```
## Testing Migration
### 1. Compare Counts
```sql
-- MySQL
SELECT COUNT(*) FROM destinations;
SELECT COUNT(*) FROM specials;
SELECT COUNT(*) FROM admin_users;
```
```javascript
// MongoDB
db.destinations.count()
db.specials.count()
db.admin_users.count()
```
### 2. Sample Data Verification
```sql
-- Check a specific destination
SELECT * FROM destinations WHERE name = 'Paris';
```
### 3. Test Relationships
```sql
-- Check specials with destinations
SELECT d.name, s.discount, s.end_date
FROM destinations d
JOIN specials s ON d.id = s.destination_id;
```
## Performance Considerations
### Indexing
MySQL indexes are already defined in schema:
- Primary keys on id columns
- Indexes on frequently queried columns (name, location, category, email)
- Foreign keys for relationships
### Connection Pooling
SQLAlchemy provides built-in connection pooling:
```python
engine = create_engine(
DATABASE_URL,
pool_size=10,
max_overflow=20,
pool_recycle=3600
)
```
### Query Optimization
- Use LIMIT for pagination
- Use indexes for WHERE clauses
- Use JOIN instead of multiple queries
- Cache frequently accessed data
## Rollback Plan
If migration fails:
1. Keep MongoDB running alongside MySQL initially
2. Test thoroughly before switching
3. Keep MongoDB backups for 30 days
4. Have both versions of code ready
## Post-Migration Checklist
- [ ] All collections migrated to tables
- [ ] Data counts match between MongoDB and MySQL
- [ ] All relationships working correctly
- [ ] Authentication still working
- [ ] API endpoints returning correct data
- [ ] Frontend displaying data correctly
- [ ] Image uploads working
- [ ] Admin dashboard functional
- [ ] Contact forms saving to MySQL
- [ ] Newsletter subscriptions working
## Common Issues
### Issue: Date format differences
**Solution:** Convert MongoDB ISODate to MySQL DATETIME
```python
created_at = datetime.fromisoformat(doc['created_at'])
```
### Issue: JSON array in specials.highlights
**Solution:** MySQL JSON column handles this automatically
```python
highlights = json.dumps(['item1', 'item2']) # Store as JSON string
highlights = json.loads(row.highlights) # Retrieve and parse
```
### Issue: UUID vs ObjectId
**Solution:** Use UUID strings in MySQL
```python
import uuid
id = str(uuid.uuid4())
```
## Support
For migration assistance:
- Check logs for specific errors
- Verify MySQL credentials
- Test database connection independently
- Review SQLAlchemy documentation
- Contact: advisor@epictravelexpeditions.com