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SKILL.md

name supabase-migration-deep-dive
description Execute Supabase major re-architecture and migration strategies with strangler fig pattern. Use when migrating to or from Supabase, performing major version upgrades, or re-platforming existing integrations to Supabase. Trigger with phrases like "migrate supabase", "supabase migration", "switch to supabase", "supabase replatform", "supabase upgrade major".
allowed-tools Read, Write, Edit, Bash(npm:*), Bash(node:*), Bash(kubectl:*)
version 1.0.0
license MIT
author Jeremy Longshore <jeremy@intentsolutions.io>

Supabase Migration Deep Dive

Overview

Comprehensive guide for migrating to or from Supabase, or major version upgrades.

Prerequisites

  • Current system documentation
  • Supabase SDK installed
  • Feature flag infrastructure
  • Rollback strategy tested

Migration Types

Type Complexity Duration Risk
Fresh install Low Days Low
From competitor Medium Weeks Medium
Major version Medium Weeks Medium
Full replatform High Months High

Pre-Migration Assessment

Step 1: Current State Analysis

# Document current implementation
find . -name "*.ts" -o -name "*.py" | xargs grep -l "supabase" > supabase-files.txt

# Count integration points
wc -l supabase-files.txt

# Identify dependencies
npm list | grep supabase
pip freeze | grep supabase

Step 2: Data Inventory

interface MigrationInventory {
  dataTypes: string[];
  recordCounts: Record<string, number>;
  dependencies: string[];
  integrationPoints: string[];
  customizations: string[];
}

async function assessSupabaseMigration(): Promise<MigrationInventory> {
  return {
    dataTypes: await getDataTypes(),
    recordCounts: await getRecordCounts(),
    dependencies: await analyzeDependencies(),
    integrationPoints: await findIntegrationPoints(),
    customizations: await documentCustomizations(),
  };
}

Migration Strategy: Strangler Fig Pattern

Phase 1: Parallel Run
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   System    │ ──▶ │  Supabase   │
│   (100%)    │     │   (0%)      │
└─────────────┘     └─────────────┘

Phase 2: Gradual Shift
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (50%)     │ ──▶ │   (50%)     │
└─────────────┘     └─────────────┘

Phase 3: Complete
┌─────────────┐     ┌─────────────┐
│   Old       │     │   New       │
│   (0%)      │ ──▶ │   (100%)    │
└─────────────┘     └─────────────┘

Implementation Plan

Phase 1: Setup (Week 1-2)

# Install Supabase SDK
npm install @supabase/supabase-js

# Configure credentials
cp .env.example .env.supabase
# Edit with new credentials

# Verify connectivity
node -e "require('@supabase/supabase-js').ping()"

Phase 2: Adapter Layer (Week 3-4)

// src/adapters/supabase.ts
interface ServiceAdapter {
  create(data: CreateInput): Promise<Resource>;
  read(id: string): Promise<Resource>;
  update(id: string, data: UpdateInput): Promise<Resource>;
  delete(id: string): Promise<void>;
}

class SupabaseAdapter implements ServiceAdapter {
  async create(data: CreateInput): Promise<Resource> {
    const supabaseData = this.transform(data);
    return supabaseClient.create(supabaseData);
  }

  private transform(data: CreateInput): SupabaseInput {
    // Map from old format to Supabase format
  }
}

Phase 3: Data Migration (Week 5-6)

async function migrateSupabaseData(): Promise<MigrationResult> {
  const batchSize = 100;
  let processed = 0;
  let errors: MigrationError[] = [];

  for await (const batch of oldSystem.iterateBatches(batchSize)) {
    try {
      const transformed = batch.map(transform);
      await supabaseClient.batchCreate(transformed);
      processed += batch.length;
    } catch (error) {
      errors.push({ batch, error });
    }

    // Progress update
    console.log(`Migrated ${processed} records`);
  }

  return { processed, errors };
}

Phase 4: Traffic Shift (Week 7-8)

// Feature flag controlled traffic split
function getServiceAdapter(): ServiceAdapter {
  const supabasePercentage = getFeatureFlag('supabase_migration_percentage');

  if (Math.random() * 100 < supabasePercentage) {
    return new SupabaseAdapter();
  }

  return new LegacyAdapter();
}

Rollback Plan

# Immediate rollback
kubectl set env deployment/app SUPABASE_ENABLED=false
kubectl rollout restart deployment/app

# Data rollback (if needed)
./scripts/restore-from-backup.sh --date YYYY-MM-DD

# Verify rollback
curl https://app.yourcompany.com/health | jq '.services.supabase'

Post-Migration Validation

async function validateSupabaseMigration(): Promise<ValidationReport> {
  const checks = [
    { name: 'Data count match', fn: checkDataCounts },
    { name: 'API functionality', fn: checkApiFunctionality },
    { name: 'Performance baseline', fn: checkPerformance },
    { name: 'Error rates', fn: checkErrorRates },
  ];

  const results = await Promise.all(
    checks.map(async c => ({ name: c.name, result: await c.fn() }))
  );

  return { checks: results, passed: results.every(r => r.result.success) };
}

Instructions

Step 1: Assess Current State

Document existing implementation and data inventory.

Step 2: Build Adapter Layer

Create abstraction layer for gradual migration.

Step 3: Migrate Data

Run batch data migration with error handling.

Step 4: Shift Traffic

Gradually route traffic to new Supabase integration.

Output

  • Migration assessment complete
  • Adapter layer implemented
  • Data migrated successfully
  • Traffic fully shifted to Supabase

Error Handling

Issue Cause Solution
Data mismatch Transform errors Validate transform logic
Performance drop No caching Add caching layer
Rollback triggered Errors spiked Reduce traffic percentage
Validation failed Missing data Check batch processing

Examples

Quick Migration Status

const status = await validateSupabaseMigration();
console.log(`Migration ${status.passed ? 'PASSED' : 'FAILED'}`);
status.checks.forEach(c => console.log(`  ${c.name}: ${c.result.success}`));

Resources

Flagship+ Skills

For advanced troubleshooting, see supabase-advanced-troubleshooting.