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title Performance Optimization
description Strategies for optimizing ObjectStack Protocol implementations

Performance Optimization Guide

Strategies for optimizing ObjectStack Protocol implementations

Query Optimization

Select Only Needed Fields

// ✅ Good
const query = {
  select: ['id', 'name', 'email'],
  from: 'customer_account',
};

// ❌ Bad
const query = {
  select: ['*'],  // Unnecessary data
  from: 'customer_account',
};

Use Efficient Filters

  • Apply filters at database level
  • Use indexed fields in WHERE clauses
  • Implement pagination

Avoid N+1 Queries

  • Use joins instead of loops
  • Batch load related data
  • Use DataLoader pattern

Caching Strategies

Metadata Caching

  • Cache object/field definitions (1 hour TTL)
  • Cache user permissions (10 minutes TTL)
  • Use Redis for distributed caching

Query Result Caching

const cacheKey = `query:${JSON.stringify(query)}`;
const cached = await redis.get(cacheKey);
if (cached) return JSON.parse(cached);

const results = await executeQuery(query);
await redis.setEx(cacheKey, 300, JSON.stringify(results));

Cache Invalidation

  • Invalidate on data changes
  • Use cache tags/patterns
  • Implement TTL strategies

Database Indexing

Index Strategy

const indexes = [
  { fields: ['email'], unique: true },
  { fields: ['status'] },
  { fields: ['industry', 'revenue'] },  // Composite
];

Best Practices

  • Index frequently queried fields
  • Use composite indexes for multi-field queries
  • Monitor and remove unused indexes

API Performance

Connection Pooling

const pool = new Pool({
  min: 2,
  max: 10,
  idleTimeoutMillis: 30000,
});

Response Compression

  • Enable gzip compression
  • Only compress responses > 1KB
  • Use level 6 compression

Async Operations

// Parallel execution
const [accounts, opportunities] = await Promise.all([
  queryAccounts(),
  queryOpportunities(),
]);

Frontend Optimization

Lazy Loading

  • Load components on demand
  • Code splitting
  • Dynamic imports

Virtualization

  • Use virtual scrolling for long lists
  • Render only visible items
  • Implement infinite scroll

Memoization

  • Cache expensive computations
  • Use React.memo for components
  • useMemo for derived data

Monitoring

Performance Metrics

  • Track query duration
  • Log slow queries (> 1s)
  • Monitor cache hit rates

Profiling

  • Use EXPLAIN ANALYZE for queries
  • Profile application code
  • Monitor resource usage

Performance Targets

Metric Target
API Response (p95) < 500ms
Database Query (p95) < 200ms
Page Load < 2s
Cache Hit Rate > 80%

Last Updated: 2026-01-22