Performance

MongoDB performance optimization requires a systematic approach to identify bottlenecks, analyze query patterns, and implement effective indexing strategies. This guide covers profiling techniques, index optimization, and load testing methodologies. Understanding MongoDB performance MongoDB performance depends on several factors: Query patterns: How queries are structured and what operations they perform Index usage: Whether queries can leverage indexes effectively Data volume: Size of collections and documents Hardware resources: CPU, memory, and disk I/O capacity Connection pooling: How applications manage database connections Profiling MongoDB queries Enable profiling MongoDB’s profiler collects detailed information about query execution: ...

Optimizing React applications is crucial for better user experience. Here are proven techniques. 1. Memoization React.memo const ExpensiveComponent = React.memo(({ data }) => { return <div>{processData(data)}</div>; }, (prevProps, nextProps) => { return prevProps.data.id === nextProps.data.id; }); useMemo const expensiveValue = useMemo(() => { return computeExpensiveValue(a, b); }, [a, b]); useCallback const handleClick = useCallback(() => { doSomething(id); }, [id]); 2. Code Splitting React.lazy const LazyComponent = React.lazy(() => import('./LazyComponent')); function App() { return ( <Suspense fallback={<div>Loading...</div>}> <LazyComponent /> </Suspense> ); } 3. Virtualization import { FixedSizeList } from 'react-window'; function VirtualizedList({ items }) { return ( <FixedSizeList height={600} itemCount={items.length} itemSize={50} > {({ index, style }) => ( <div style={style}>{items[index]}</div> )} </FixedSizeList> ); } 4. Avoid Unnecessary Renders // Bad: Creates new object on every render <ChildComponent config={{ theme: 'dark' }} /> // Good: Use useMemo or constant const config = useMemo(() => ({ theme: 'dark' }), []); <ChildComponent config={config} /> Best Practices Memoize expensive computations Split code by routes Virtualize long lists Avoid inline functions/objects Use production builds Conclusion Optimize React apps for better performance! ⚡

Redis is powerful for caching. Here are effective caching strategies. Cache-Aside Pattern async function getUser(id) { // Check cache let user = await redis.get(`user:${id}`); if (user) { return JSON.parse(user); } // Cache miss - fetch from DB user = await db.query('SELECT * FROM users WHERE id = ?', [id]); // Store in cache await redis.setex(`user:${id}`, 3600, JSON.stringify(user)); return user; } Write-Through Pattern async function updateUser(id, data) { // Update database const user = await db.update('users', id, data); // Update cache await redis.setex(`user:${id}`, 3600, JSON.stringify(user)); return user; } Cache Invalidation async function deleteUser(id) { // Delete from database await db.delete('users', id); // Invalidate cache await redis.del(`user:${id}`); } Best Practices Set appropriate TTL Handle cache misses Invalidate properly Monitor cache hit rate Use consistent key patterns Conclusion Implement effective Redis caching strategies! 🔴

Optimizing MongoDB queries is essential for performance. Here’s how. Indexing Create Indexes // Single field index db.users.createIndex({ email: 1 }); // Compound index db.users.createIndex({ status: 1, createdAt: -1 }); // Text index db.posts.createIndex({ title: "text", content: "text" }); Explain Queries db.users.find({ email: "[email protected]" }).explain("executionStats"); Query Optimization Use Projection // Bad: Fetches all fields db.users.find({ status: "active" }); // Good: Only needed fields db.users.find( { status: "active" }, { name: 1, email: 1, _id: 0 } ); Limit Results db.users.find({ status: "active" }) .limit(10) .sort({ createdAt: -1 }); Best Practices Create appropriate indexes Use projection Limit result sets Avoid $regex without index Monitor slow queries Conclusion Optimize MongoDB for better performance! 🍃

PostgreSQL performance tuning requires understanding configuration and queries. Here’s a guide. Configuration Tuning postgresql.conf # Memory settings shared_buffers = 256MB effective_cache_size = 1GB work_mem = 16MB # Connection settings max_connections = 100 # Query planner random_page_cost = 1.1 Query Optimization Use EXPLAIN ANALYZE EXPLAIN ANALYZE SELECT * FROM users WHERE email = '[email protected]'; Indexing -- B-tree index CREATE INDEX idx_user_email ON users(email); -- Partial index CREATE INDEX idx_active_users ON users(email) WHERE status = 'active'; -- Composite index CREATE INDEX idx_user_status_created ON users(status, created_at); Best Practices Analyze query plans Create appropriate indexes Use connection pooling Monitor slow queries Vacuum regularly Conclusion Tune PostgreSQL for optimal performance! 🐘

Rust WebAssembly can significantly improve React application performance. Here’s how to integrate it. Setup cargo install wasm-pack wasm-pack build --target web Rust Code use wasm_bindgen::prelude::*; #[wasm_bindgen] pub fn add(a: i32, b: i32) -> i32 { a + b } React Integration import init, { add } from './pkg/rust_wasm.js'; async function loadWasm() { await init(); console.log(add(2, 3)); // 5 } Performance Benefits Faster computation for heavy operations Memory efficient Type safe Near-native performance Best Practices Use for CPU-intensive tasks Minimize data transfer Profile performance Handle errors properly Bundle efficiently Conclusion Boost React performance with Rust WebAssembly! ⚡