The Challenge
Business Problem
Database migrations are risky. Manual schema changes cause downtime, data loss, and compatibility issues. Teams avoid necessary refactoring due to migration complexity.
The Approach
Solution Overview
Connect PostgreSQL MCP Server with GitHub MCP Server to automatically generate migration scripts from schema diffs, test them against production copies, and apply them safely.
Step-by-Step
Implementation Steps
1
Detect Schema Changes
Compare current schema with desired state defined in code to generate migration scripts.
2
Generate Migration SQL
Automatically create forward and rollback migration SQL with data preservation.
3
Test Against Production Copy
Run migrations against a copy of production data to verify correctness.
async function testMigration(migration) {
const testDb = await postgres.query('CREATE DATABASE test_migration TEMPLATE production');
try {
await postgres.query(migration.up, [], { database: 'test_migration' });
const checks = await runIntegrityChecks('test_migration');
if (!checks.passed) throw new Error(checks.errors.join(', '));
await postgres.query(migration.down, [], { database: 'test_migration' });
} finally {
await postgres.query('DROP DATABASE test_migration');
}
}4
Apply with Zero Downtime
Use online schema change tools and feature flags for zero-downtime migrations.
Code
Code Examples
typescript
Migration Generator
async function generateMigration(currentSchema, desiredSchema) {
const diff = schemaDiff(currentSchema, desiredSchema);
return {
up: diff.map(d => d.upSQL).join('\n'),
down: diff.map(d => d.downSQL).reverse().join('\n'),
description: diff.map(d => d.summary).join(', ')
};
}Overview
ComplexityHard
Estimated Time~16 hours
Tools Used
PostgreSQL MCP ServerGitHub MCP Server
Industry
TechnologySaaSFinance
ROI Metrics
Time Saved5 hours per migration
Cost ReductionZero downtime migrations
Efficiency Gain100% rollback capability