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This skill guides migration-first database development with Drizzle ORM in TypeScript, creating reliable SQL migrations and synchronized TypeScript definitions.
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---
name: drizzle-migrations
description: "Migration-first database development workflow using Drizzle ORM for TypeScript/J..."
version: 1.0.0
tags: []
progressive_disclosure:
entry_point:
summary: "Migration-first database development workflow using Drizzle ORM for TypeScript/J..."
when_to_use: "When working with drizzle-migrations or related functionality."
quick_start: "1. Review the core concepts below. 2. Apply patterns to your use case. 3. Follow best practices for implementation."
---
# Drizzle ORM Database Migrations (TypeScript)
Migration-first database development workflow using Drizzle ORM for TypeScript/JavaScript projects.
## When to Use This Skill
Use this skill when:
- Working with Drizzle ORM in TypeScript/JavaScript projects
- Need to create or modify database schema
- Want migration-first development workflow
- Setting up new database tables or columns
- Need to ensure schema consistency across environments
## Core Principle: Migration-First Development
**Critical Rule**: Schema changes ALWAYS start with migrations, never code-first.
### Why Migration-First?
- ✅ SQL migrations are the single source of truth
- ✅ Prevents schema drift between environments
- ✅ Enables rollback and versioning
- ✅ Forces explicit schema design decisions
- ✅ TypeScript types generated from migrations
- ✅ CI/CD can validate schema changes
### Anti-Pattern (Code-First)
❌ **WRONG**: Writing TypeScript schema first
```typescript
// DON'T DO THIS FIRST
export const users = pgTable('users', {
id: uuid('id').primaryKey(),
email: text('email').notNull(),
});
```
### Correct Pattern (Migration-First)
✅ **CORRECT**: Write SQL migration first
```sql
-- drizzle/0001_add_users_table.sql
CREATE TABLE users (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
email TEXT NOT NULL UNIQUE,
created_at TIMESTAMP DEFAULT NOW()
);
```
## Complete Migration Workflow
### Step 1: Design Schema in SQL Migration
Create descriptive SQL migration file:
```sql
-- drizzle/0001_create_school_calendars.sql
CREATE TABLE school_calendars (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
school_id UUID NOT NULL REFERENCES schools(id) ON DELETE CASCADE,
start_date DATE NOT NULL,
end_date DATE NOT NULL,
academic_year TEXT NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
-- Add indexes for query performance
CREATE INDEX idx_school_calendars_school_id ON school_calendars(school_id);
CREATE INDEX idx_school_calendars_academic_year ON school_calendars(academic_year);
-- Add constraints
ALTER TABLE school_calendars
ADD CONSTRAINT check_date_range
CHECK (end_date > start_date);
```
**Naming Convention**:
- Use sequential numbers: `0001_`, `0002_`, etc.
- Descriptive names: `create_school_calendars`, `add_user_roles`
- Format: `XXXX_descriptive_name.sql`
### Step 2: Generate TypeScript Definitions
Drizzle Kit generates TypeScript types from SQL:
```bash
# Generate TypeScript schema and snapshots
pnpm drizzle-kit generate
# Or using npm
npm run db:generate
```
**What This Creates**:
1. TypeScript schema files (if using `drizzle-kit push`)
2. Snapshot files in `drizzle/meta/XXXX_snapshot.json`
3. Migration metadata
### Step 3: Create Schema Snapshot
Snapshots enable schema drift detection:
```json
// drizzle/meta/0001_snapshot.json (auto-generated)
{
"version": "5",
"dialect": "postgresql",
"tables": {
"school_calendars": {
"name": "school_calendars",
"columns": {
"id": {
"name": "id",
"type": "uuid",
"primaryKey": true,
"notNull": true,
"default": "gen_random_uuid()"
},
"school_id": {
"name": "school_id",
"type": "uuid",
"notNull": true
}
}
}
}
}
```
**Snapshots in Version Control**:
- ✅ Commit snapshots to git
- ✅ Enables drift detection in CI
- ✅ Documents schema history
### Step 4: Implement TypeScript Schema
Now write TypeScript schema that mirrors SQL migration:
```typescript
// src/lib/db/schema/school/calendar.ts
import { pgTable, uuid, date, text, timestamp } from 'drizzle-orm/pg-core';
import { schools } from './school';
export const schoolCalendars = pgTable('school_calendars', {
id: uuid('id').primaryKey().defaultRandom(),
schoolId: uuid('school_id')
.notNull()
.references(() => schools.id, { onDelete: 'cascade' }),
startDate: date('start_date').notNull(),
endDate: date('end_date').notNull(),
academicYear: text('academic_year').notNull(),
createdAt: timestamp('created_at').defaultNow(),
updatedAt: timestamp('updated_at').defaultNow(),
});
// Type inference
export type SchoolCalendar = typeof schoolCalendars.$inferSelect;
export type NewSchoolCalendar = typeof schoolCalendars.$inferInsert;
```
**Key Points**:
- Column names match SQL exactly: `school_id` → `'school_id'`
- TypeScript property names use camelCase: `schoolId`
- Constraints and indexes defined in SQL, not TypeScript
- Foreign keys reference other tables
### Step 5: Organize Schemas by Domain
Structure schemas for maintainability:
```
src/lib/db/schema/
├── index.ts # Export all schemas
├── school/
│ ├── index.ts
│ ├── district.ts
│ ├── holiday.ts
│ ├── school.ts
│ └── calendar.ts
├── providers.ts
├── cart.ts
└── users.ts
```
**index.ts** (export all):
```typescript
// src/lib/db/schema/index.ts
export * from './school';
export * from './providers';
export * from './cart';
export * from './users';
```
**school/index.ts**:
```typescript
// src/lib/db/schema/school/index.ts
export * from './district';
export * from './holiday';
export * from './school';
export * from './calendar';
```
### Step 6: Add Quality Check to CI
Validate schema consistency in CI/CD:
```yaml
# .github/workflows/quality.yml
name: Quality Checks
on:
pull_request:
branches: [main, develop]
push:
branches: [main]
jobs:
quality:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'pnpm'
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Check database schema drift
run: pnpm drizzle-kit check
- name: Verify migrations (dry-run)
run: pnpm drizzle-kit push --dry-run
env:
DATABASE_URL: ${{ secrets.STAGING_DATABASE_URL }}
- name: Run type checking
run: pnpm tsc --noEmit
- name: Lint code
run: pnpm lint
```
**CI Checks Explained**:
- `drizzle-kit check`: Validates snapshots match schema
- `drizzle-kit push --dry-run`: Tests migration without applying
- Type checking: Ensures TypeScript compiles
- Linting: Enforces code style
### Step 7: Test on Staging
Before production, test migration on staging:
```bash
# 1. Run migration on staging
STAGING_DATABASE_URL="..." pnpm drizzle-kit push
# 2. Verify schema
pnpm drizzle-kit check
# 3. Test affected API routes
curl https://staging.example.com/api/schools/calendars
# 4. Check for data integrity issues
# Run queries to verify data looks correct
# 5. Monitor logs for errors
# Check application logs for migration-related errors
```
**Staging Checklist**:
- [ ] Migration runs without errors
- [ ] Schema drift check passes
- [ ] API routes using new schema work correctly
- [ ] No data integrity issues
- [ ] Application logs show no errors
- [ ] Query performance acceptable
## Common Migration Patterns
### Adding a Column
```sql
-- drizzle/0005_add_user_phone.sql
ALTER TABLE users
ADD COLUMN phone TEXT;
-- Add index if querying by phone
CREATE INDEX idx_users_phone ON users(phone);
```
TypeScript:
```typescript
export const users = pgTable('users', {
id: uuid('id').primaryKey(),
email: text('email').notNull(),
phone: text('phone'), // New column
});
```
### Creating a Junction Table
```sql
-- drizzle/0006_create_provider_specialties.sql
CREATE TABLE provider_specialties (
provider_id UUID NOT NULL REFERENCES providers(id) ON DELETE CASCADE,
specialty_id UUID NOT NULL REFERENCES specialties(id) ON DELETE CASCADE,
PRIMARY KEY (provider_id, specialty_id)
);
CREATE INDEX idx_provider_specialties_provider ON provider_specialties(provider_id);
CREATE INDEX idx_provider_specialties_specialty ON provider_specialties(specialty_id);
```
TypeScript:
```typescript
export const providerSpecialties = pgTable('provider_specialties', {
providerId: uuid('provider_id')
.notNull()
.references(() => providers.id, { onDelete: 'cascade' }),
specialtyId: uuid('specialty_id')
.notNull()
.references(() => specialties.id, { onDelete: 'cascade' }),
}, (table) => ({
pk: primaryKey(table.providerId, table.specialtyId),
}));
```
### Modifying Column Type
```sql
-- drizzle/0007_change_price_to_decimal.sql
ALTER TABLE services
ALTER COLUMN price TYPE DECIMAL(10, 2);
```
TypeScript:
```typescript
import { decimal } from 'drizzle-orm/pg-core';
export const services = pgTable('services', {
id: uuid('id').primaryKey(),
name: text('name').notNull(),
price: decimal('price', { precision: 10, scale: 2 }).notNull(),
});
```
### Adding Constraints
```sql
-- drizzle/0008_add_email_constraint.sql
ALTER TABLE users
ADD CONSTRAINT users_email_unique UNIQUE (email);
ALTER TABLE users
ADD CONSTRAINT users_email_format CHECK (email ~* '^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}$');
```
## Configuration
### drizzle.config.ts
```typescript
import type { Config } from 'drizzle-kit';
export default {
schema: './src/lib/db/schema/index.ts',
out: './drizzle',
driver: 'pg',
dbCredentials: {
connectionString: process.env.DATABASE_URL!,
},
} satisfies Config;
```
### package.json Scripts
```json
{
"scripts": {
"db:generate": "drizzle-kit generate:pg",
"db:push": "drizzle-kit push:pg",
"db:studio": "drizzle-kit studio",
"db:check": "drizzle-kit check:pg",
"db:up": "drizzle-kit up:pg"
}
}
```
## Migration Testing Workflow
### Local Testing
```bash
# 1. Create migration
echo "CREATE TABLE test (...)" > drizzle/0009_test.sql
# 2. Generate TypeScript
pnpm db:generate
# 3. Push to local database
pnpm db:push
# 4. Verify schema
pnpm db:check
# 5. Test in application
pnpm dev
# Manually test affected features
# 6. Run tests
pnpm test
```
### Rollback Strategy
```sql
-- drizzle/0010_add_feature.sql (up migration)
CREATE TABLE new_feature (...);
-- drizzle/0010_add_feature_down.sql (down migration)
DROP TABLE new_feature;
```
Apply rollback:
```bash
# Manually run down migration
psql $DATABASE_URL -f drizzle/0010_add_feature_down.sql
```
## Best Practices
### Do's
- ✅ Write SQL migrations first
- ✅ Use descriptive migration names
- ✅ Add indexes for foreign keys
- ✅ Include constraints in migrations
- ✅ Test migrations on staging before production
- ✅ Commit snapshots to version control
- ✅ Organize schemas by domain
- ✅ Use `drizzle-kit check` in CI
### Don'ts
- ❌ Never write TypeScript schema before SQL migration
- ❌ Don't skip staging testing
- ❌ Don't modify old migrations (create new ones)
- ❌ Don't forget to add indexes
- ❌ Don't use `drizzle-kit push` in production (use proper migrations)
- ❌ Don't commit generated files without snapshots
## Troubleshooting
### Schema Drift Detected
**Error**: `Schema drift detected`
**Solution**:
```bash
# Check what changed
pnpm drizzle-kit check
# Regenerate snapshots
pnpm drizzle-kit generate
# Review changes and commit
git add drizzle/meta/
git commit -m "Update schema snapshots"
```
### Migration Fails on Staging
**Error**: Migration fails with data constraint violation
**Solution**:
1. Rollback migration
2. Create data migration script
3. Run data migration first
4. Then run schema migration
```sql
-- First: Migrate data
UPDATE users SET status = 'active' WHERE status IS NULL;
-- Then: Add constraint
ALTER TABLE users
ALTER COLUMN status SET NOT NULL;
```
### TypeScript Types Out of Sync
**Error**: TypeScript types don't match database
**Solution**:
```bash
# Regenerate everything
pnpm db:generate
pnpm tsc --noEmit
# If still broken, check schema files
# Ensure column names match SQL exactly
```
## Related Skills
- `universal-data-database-migration` - Universal migration patterns
- `toolchains-typescript-data-drizzle` - Drizzle ORM usage patterns
- `toolchains-typescript-core` - TypeScript best practices
- `universal-debugging-verification-before-completion` - Verification workflows
This skill provides a migration-first development workflow for projects using Drizzle ORM with TypeScript/JavaScript. It enforces SQL migrations as the single source of truth, generates TypeScript types from migrations, and includes staging and CI validation steps. The goal is predictable, auditable schema changes with drift detection and safe rollbacks.
You author descriptive SQL migration files (sequentially numbered) that create or alter schema, then run Drizzle Kit to generate TypeScript definitions and JSON snapshots. Snapshots are stored in version control and checked in CI to detect drift. Migrations are validated with dry-run pushes on staging and verified with type checking and linting before production.
What if I detect schema drift?
Run pnpm drizzle-kit check to inspect differences, regenerate snapshots with pnpm drizzle-kit generate, review changes, then commit updated snapshot files.
How do I roll back a migration?
Provide a down migration SQL file that reverses the change and run it against the target database (for manual rollback use psql -f path/to/down.sql); prefer careful data migration scripts before destructive schema changes.
When should I regenerate TypeScript types?
After any schema migration that changes tables, columns, or types. Run pnpm db:generate and then run type checking (pnpm tsc --noEmit) to confirm consistency.
What CI checks should I include?
Include drizzle-kit check, a dry-run push to a staging database, TypeScript type checking, and linting. These steps catch drift and compile-time errors before merge.