Why teams start with SQLite
SQLite is perfect for early-stage PHP projects: it’s file-based, fast to set up, and works great for prototypes, internal tools, and MVPs. But as traffic and data grow, you may need MySQL for concurrency, remote access, backups, and better scaling.
When you should migrate to MySQL
- Multiple admins/users writing data at the same time
- Hosting environment requires a managed database
- You need better indexing, reporting, and exports
- Operational needs: backups, replication, monitoring
Step 1 — Freeze writes (avoid data drift)
Before migrating, temporarily pause write operations (or schedule a maintenance window). This prevents data mismatch between SQLite export and MySQL import.
Step 2 — Export SQLite schema and data
If you have CLI access:
sqlite3 data/app.db .schema > schema.sql
sqlite3 data/app.db .dump > dump.sql
If you do not have CLI, export via a small PHP script using PDO and generate INSERT statements.
Step 3 — Convert schema differences
SQLite is flexible with types, MySQL is stricter. Common conversions:
INTEGER PRIMARY KEY→INT AUTO_INCREMENT PRIMARY KEYTEXT→VARCHAR(255)orTEXTdepending on usage- Date/time stored as TEXT → convert to
DATETIMEwhere possible
Step 4 — Create MySQL tables
Create a new database, then apply a cleaned schema. Make sure you also create indexes for frequently queried columns (user_id, created_at, status, etc.).
Step 5 — Import data safely
Import in this order:
- Core lookup tables
- Users
- Transactions / logs
Always validate row counts before and after.
Step 6 — Update your PHP PDO connection
A clean approach is to abstract database connection to one file and switch via environment variables:
// config.php
return [
'db_driver' => 'mysql',
'db_host' => 'localhost',
'db_name' => 'scoryon',
'db_user' => 'user',
'db_pass' => 'pass',
];
Step 7 — Validate critical flows
- Login/auth
- Write actions (create/update/delete)
- Reports and exports
- Admin adjustments and audit logs
Common migration mistakes
- Forgetting indexes → slow dashboards
- Different text collations (utf8mb4 recommended)
- Datetime comparisons behave differently
- Not validating row counts and totals
Final thoughts
SQLite-first is a smart strategy. A good migration plan keeps your system stable while you scale. If you want a clean migration with minimal downtime, build a repeatable export/import pipeline and validate with audit checks.
Need help migrating a real system? Explore Services or check Projects.