Claude Code 性能优化指南
深入了解Claude Code性能优化技巧,从算法优化到系统调优,全面提升应用性能。
性能优化策略概览
🏗️ 架构层优化
系统架构、数据库设计、缓存策略
⚡ 算法层优化
算法复杂度、数据结构选择
🔧 代码层优化
代码实现、内存管理
算法与数据结构优化
时间复杂度优化
❌ O(n²) 暴力解法
// 查找数组中的重复元素
function findDuplicates(arr) {
const duplicates = [];
for (let i = 0; i < arr.length; i++) {
for (let j = i + 1; j < arr.length; j++) {
if (arr[i] === arr[j] && !duplicates.includes(arr[i])) {
duplicates.push(arr[i]);
}
}
}
return duplicates;
}
✅ O(n) 优化解法
// 使用Set优化查找
function findDuplicates(arr) {
const seen = new Set();
const duplicates = new Set();
for (const item of arr) {
if (seen.has(item)) {
duplicates.add(item);
} else {
seen.add(item);
}
}
return Array.from(duplicates);
}
内存优化技巧
// 大数据处理的内存优化
class DataProcessor {
// 使用生成器避免一次性加载大量数据
*processLargeDataset(filePath) {
const stream = fs.createReadStream(filePath, { encoding: 'utf8' });
let buffer = '';
for await (const chunk of stream) {
buffer += chunk;
const lines = buffer.split('\n');
buffer = lines.pop(); // 保留不完整的行
for (const line of lines) {
if (line.trim()) {
yield this.processLine(line);
}
}
}
// 处理最后一行
if (buffer.trim()) {
yield this.processLine(buffer);
}
}
// 批量处理减少内存占用
async processBatch(items, batchSize = 1000) {
const results = [];
for (let i = 0; i < items.length; i += batchSize) {
const batch = items.slice(i, i + batchSize);
const batchResults = await Promise.all(
batch.map(item => this.processItem(item))
);
results.push(...batchResults);
// 强制垃圾回收(在Node.js中)
if (global.gc && i % (batchSize * 10) === 0) {
global.gc();
}
}
return results;
}
}
数据库性能优化
查询优化
// 数据库查询优化示例
class UserService {
// 使用索引和限制查询字段
async getUsers(filters, pagination) {
const { page = 1, limit = 20 } = pagination;
const offset = (page - 1) * limit;
// 只查询需要的字段
const query = `
SELECT id, name, email, created_at
FROM users
WHERE status = ?
AND created_at >= ?
ORDER BY created_at DESC
LIMIT ? OFFSET ?
`;
return await db.query(query, [
filters.status,
filters.startDate,
limit,
offset
]);
}
// 批量操作优化
async createUsers(users) {
// 使用批量插入而不是逐个插入
const values = users.map(user => [
user.name,
user.email,
user.password,
new Date()
]);
const query = `
INSERT INTO users (name, email, password, created_at)
VALUES ?
`;
return await db.query(query, [values]);
}
// 连接查询优化
async getUsersWithProfiles() {
// 使用JOIN而不是N+1查询
const query = `
SELECT
u.id, u.name, u.email,
p.bio, p.avatar, p.location
FROM users u
LEFT JOIN profiles p ON u.id = p.user_id
WHERE u.status = 'active'
`;
return await db.query(query);
}
}
缓存策略
// 多层缓存策略
class CacheManager {
constructor() {
this.memoryCache = new Map();
this.redisClient = redis.createClient();
}
async get(key) {
// L1: 内存缓存
if (this.memoryCache.has(key)) {
return this.memoryCache.get(key);
}
// L2: Redis缓存
const redisValue = await this.redisClient.get(key);
if (redisValue) {
const parsed = JSON.parse(redisValue);
// 回填内存缓存
this.memoryCache.set(key, parsed);
return parsed;
}
return null;
}
async set(key, value, ttl = 3600) {
// 同时设置两层缓存
this.memoryCache.set(key, value);
await this.redisClient.setex(key, ttl, JSON.stringify(value));
}
// 缓存预热
async warmupCache(keys) {
const pipeline = this.redisClient.pipeline();
for (const key of keys) {
pipeline.get(key);
}
const results = await pipeline.exec();
results.forEach(([err, value], index) => {
if (!err && value) {
const key = keys[index];
this.memoryCache.set(key, JSON.parse(value));
}
});
}
}
前端性能优化
代码分割与懒加载
// React代码分割示例
import { lazy, Suspense } from 'react';
// 懒加载组件
const Dashboard = lazy(() => import('./Dashboard'));
const UserProfile = lazy(() => import('./UserProfile'));
const Analytics = lazy(() => import('./Analytics'));
function App() {
return (
}>
} />
} />
} />
);
}
// 预加载关键路由
const preloadRoutes = () => {
import('./Dashboard');
import('./UserProfile');
};
// 在用户交互时预加载
document.addEventListener('mouseover', (e) => {
if (e.target.matches('a[href="/dashboard"]')) {
import('./Dashboard');
}
});
虚拟滚动优化
// 虚拟滚动实现
class VirtualList {
constructor(container, items, itemHeight) {
this.container = container;
this.items = items;
this.itemHeight = itemHeight;
this.visibleCount = Math.ceil(container.clientHeight / itemHeight) + 2;
this.startIndex = 0;
this.render();
this.bindEvents();
}
render() {
const endIndex = Math.min(
this.startIndex + this.visibleCount,
this.items.length
);
const visibleItems = this.items.slice(this.startIndex, endIndex);
const offsetY = this.startIndex * this.itemHeight;
this.container.innerHTML = `
${visibleItems.map(item => `
${this.renderItem(item)}
`).join('')}
`;
}
bindEvents() {
this.container.addEventListener('scroll', () => {
const newStartIndex = Math.floor(
this.container.scrollTop / this.itemHeight
);
if (newStartIndex !== this.startIndex) {
this.startIndex = newStartIndex;
this.render();
}
});
}
}
网络性能优化
请求优化
// 请求合并和缓存
class APIClient {
constructor() {
this.requestCache = new Map();
this.pendingRequests = new Map();
}
async get(url, options = {}) {
const cacheKey = `${url}${JSON.stringify(options)}`;
// 检查缓存
if (this.requestCache.has(cacheKey)) {
const cached = this.requestCache.get(cacheKey);
if (Date.now() - cached.timestamp < 60000) { // 1分钟缓存
return cached.data;
}
}
// 检查是否有相同的请求正在进行
if (this.pendingRequests.has(cacheKey)) {
return this.pendingRequests.get(cacheKey);
}
// 发起新请求
const promise = fetch(url, options)
.then(response => response.json())
.then(data => {
// 缓存结果
this.requestCache.set(cacheKey, {
data,
timestamp: Date.now()
});
// 清除pending状态
this.pendingRequests.delete(cacheKey);
return data;
})
.catch(error => {
this.pendingRequests.delete(cacheKey);
throw error;
});
this.pendingRequests.set(cacheKey, promise);
return promise;
}
// 批量请求
async batchGet(urls) {
const requests = urls.map(url => this.get(url));
return Promise.all(requests);
}
}
资源压缩与CDN
// Webpack优化配置
module.exports = {
optimization: {
splitChunks: {
chunks: 'all',
cacheGroups: {
vendor: {
test: /[\\/]node_modules[\\/]/,
name: 'vendors',
chunks: 'all',
},
common: {
name: 'common',
minChunks: 2,
chunks: 'all',
enforce: true
}
}
},
minimizer: [
new TerserPlugin({
terserOptions: {
compress: {
drop_console: true,
drop_debugger: true
}
}
}),
new CssMinimizerPlugin()
]
},
plugins: [
new CompressionPlugin({
algorithm: 'gzip',
test: /\.(js|css|html|svg)$/,
threshold: 8192,
minRatio: 0.8
})
]
};
性能监控与分析
性能指标收集
// 性能监控工具
class PerformanceMonitor {
constructor() {
this.metrics = new Map();
this.observers = [];
}
// 监控API响应时间
measureAPICall(name, fn) {
return async (...args) => {
const start = performance.now();
try {
const result = await fn(...args);
const duration = performance.now() - start;
this.recordMetric(`api.${name}`, {
duration,
status: 'success',
timestamp: Date.now()
});
return result;
} catch (error) {
const duration = performance.now() - start;
this.recordMetric(`api.${name}`, {
duration,
status: 'error',
error: error.message,
timestamp: Date.now()
});
throw error;
}
};
}
// 监控页面性能
measurePageLoad() {
if (typeof window !== 'undefined') {
window.addEventListener('load', () => {
const navigation = performance.getEntriesByType('navigation')[0];
this.recordMetric('page.load', {
domContentLoaded: navigation.domContentLoadedEventEnd - navigation.domContentLoadedEventStart,
loadComplete: navigation.loadEventEnd - navigation.loadEventStart,
totalTime: navigation.loadEventEnd - navigation.fetchStart
});
});
}
}
recordMetric(name, data) {
if (!this.metrics.has(name)) {
this.metrics.set(name, []);
}
this.metrics.get(name).push(data);
// 通知观察者
this.observers.forEach(observer => observer(name, data));
}
getMetrics(name) {
return this.metrics.get(name) || [];
}
getAverageMetric(name, field) {
const metrics = this.getMetrics(name);
if (metrics.length === 0) return 0;
const sum = metrics.reduce((acc, metric) => acc + metric[field], 0);
return sum / metrics.length;
}
}
性能优化最佳实践
优化策略优先级:
- ✅ 首先优化算法和数据结构(影响最大)
- ✅ 实施有效的缓存策略
- ✅ 优化数据库查询和索引
- ✅ 减少网络请求次数和大小
- ✅ 实施代码分割和懒加载
- ✅ 持续监控和分析性能指标
性能目标参考:
- 页面加载时间: < 3秒
- API响应时间: < 200ms
- 首屏渲染时间: < 1.5秒
- 内存使用率: < 80%