Files
cloud-server/migrations
kappa 9f3d3a245a refactor: simplify pricing tables to USD-only
- Remove KRW pricing calculations from all pricing tables
- Simplify pricing table to store only wholesale USD prices
- Simplify anvil_pricing to store only retail USD prices
- Remove KRW environment variables (KRW_EXCHANGE_RATE, KRW_MARGIN_RATE)
- Remove KRW functions from constants.ts
- Update GPU/G8/VPU pricing repositories to match
- Add Anvil tables and repositories for branded product support

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-25 21:16:25 +09:00
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Database Migrations

This directory contains SQL migration files for database schema changes.

Migration Files

002_add_composite_indexes.sql

Date: 2026-01-21 Purpose: Add composite indexes to optimize query performance

Indexes Added:

  1. idx_instance_types_provider_family_specs - Optimizes instance filtering by provider, family, and specs
  2. idx_pricing_instance_region_price - Optimizes pricing queries with JOIN operations and sorting
  3. idx_regions_provider_code - Optimizes region lookups by provider and region code

Performance Impact:

  • Reduces query execution time for filtered instance searches
  • Improves JOIN performance between instance_types, pricing, and regions tables
  • Enables efficient ORDER BY on hourly_price without additional sort operations

Running Migrations

Local Development

npm run db:migrate

Production

npm run db:migrate:remote

Migration Best Practices

  1. Idempotent Operations: All migrations use IF NOT EXISTS to ensure safe re-execution
  2. Backwards Compatible: New indexes don't break existing queries
  3. Performance Testing: Test migration impact on query performance before deploying
  4. Rollback Plan: Each migration includes rollback instructions in comments

Query Optimization Details

Main Query Pattern (query.ts)

SELECT ...
FROM instance_types it
JOIN providers p ON it.provider_id = p.id
JOIN pricing pr ON pr.instance_type_id = it.id
JOIN regions r ON pr.region_id = r.id
WHERE p.name = ?
  AND r.region_code = ?
  AND it.instance_family = ?
  AND it.vcpu >= ?
  AND it.memory_mb >= ?
ORDER BY pr.hourly_price

Optimized By:

  • idx_instance_types_provider_family_specs - Covers WHERE conditions on instance_types
  • idx_pricing_instance_region_price - Covers JOIN and ORDER BY on pricing
  • idx_regions_provider_code - Covers JOIN conditions on regions

Expected Performance Improvement

  • Before: Full table scans on instance_types and pricing tables
  • After: Index seeks with reduced disk I/O
  • Estimated Speedup: 3-10x for filtered queries with sorting

Verifying Index Usage

You can verify that indexes are being used with SQLite EXPLAIN QUERY PLAN:

# Check query execution plan
npm run db:query "EXPLAIN QUERY PLAN SELECT ... FROM instance_types it JOIN ..."

Look for "USING INDEX" in the output to confirm index usage.

Notes

  • SQLite automatically chooses the most efficient index for each query
  • Composite indexes follow the "leftmost prefix" rule
  • Indexes add minimal storage overhead but significantly improve read performance
  • Write operations (INSERT/UPDATE) are slightly slower with more indexes, but read performance gains outweigh this for read-heavy workloads