企业没有专业人员怎么建设网站建设实验教学网站的作用

企业没有专业人员怎么建设网站,建设实验教学网站的作用,江门城乡建设局官方网站,网络科技公司销售是做什么的一、业务场景分析1.1 秒杀特点瞬时流量: 开场10秒内100万请求读写比例: 1000:1 (99.9%用户抢不到)库存稀缺: 1000件商品,100万人抢强一致性: 不能超卖,不能少卖用户体验: P99延迟 200ms1.2 核心技术挑战100万并发 ↓网关层(5万) 应用层(2万) 数据层(1万)如何削峰? 如何防…一、业务场景分析1.1 秒杀特点瞬时流量: 开场10秒内100万请求读写比例: 1000:1 (99.9%用户抢不到)库存稀缺: 1000件商品,100万人抢强一致性: 不能超卖,不能少卖用户体验: P99延迟 200ms1.2 核心技术挑战100万并发 ↓网关层(5万) 应用层(2万) 数据层(1万)如何削峰? 如何防超卖? 如何不挂?二、架构设计 - 五层防护体系┌─────────────────────────────────────────┐│ CDN 前端限流 (第一层: 拦截90%无效请求) │ ├─────────────────────────────────────────┤│ Nginx OpenResty (第二层: 动态黑名单 令牌桶) │ ├─────────────────────────────────────────┤│ 网关 Gateway (第三层: Sentinel限流熔断) │ ├─────────────────────────────────────────┤│ 应用层 (第四层: Redis库存预扣 Lua原子操作) │ ├─────────────────────────────────────────┤│ 数据层 (第五层: 分库分表 异步落库 最终一致性) │ └─────────────────────────────────────────┘三、核心技术方案3.1 第一层: 前端拦截 - JS页面静态化3.1.1 秒杀页面静态化倒计时控制 (开始前禁用按钮)前端防刷 - Token Bucket防重复提交 请求合并WebSocket HTTP防刷签名 (前端加签)3.1.2 CDN预热脚本3.2 第二层: Nginx OpenResty 动态限流3.2.1 Nginx配置IP黑名单拦截令牌桶限流 (Lua实现)静态资源缓存nginx.confhttp { # 限流配置 lua_shared_dict ip_blacklist 10m; lua_shared_dict rate_limit_store 100m; # 连接池优化 upstream seckill_backend { least_conn; keepalive 1000; keepalive_requests 10000; server 10.0.1.10:8080 weight5 max_fails3 fail_timeout30s; server 10.0.1.11:8080 weight5 max_fails3 fail_timeout30s; server 10.0.1.12:8080 weight5 max_fails3 fail_timeout30s; } server { listen 80; server_name seckill.taobao.com; # 1. IP黑名单拦截 access_by_lua_block { local ip ngx.var.remote_addr local blacklist ngx.shared.ip_blacklist if blacklist:get(ip) then ngx.exit(ngx.HTTP_FORBIDDEN) end } # 2. 令牌桶限流 (Lua实现) location /api/seckill { access_by_lua_file /etc/nginx/lua/rate_limit.lua; proxy_pass http://seckill_backend; proxy_http_version 1.1; proxy_set_header Connection ; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; # 超时配置 proxy_connect_timeout 1s; proxy_send_timeout 3s; proxy_read_timeout 3s; } # 3. 静态资源缓存 location ~* \.(jpg|jpeg|png|gif|css|js)$ { expires 1h; add_header Cache-Control public, immutable; } # 4. 健康检查 location /health { access_log off; return 200 OK; } } }lua-- /etc/nginx/lua/rate_limit.lua local resty_lock require resty.lock local cjson require cjson -- 配置参数 local rate_limit_store ngx.shared.rate_limit_store local ip ngx.var.remote_addr local uri ngx.var.uri -- 多维度限流 local limits { -- IP维度: 100 req/s {key ip: .. ip, rate 100, burst 200}, -- URI维度: 5000 req/s (全局) {key uri: .. uri, rate 5000, burst 10000}, -- 用户维度: 10 req/s {key user: .. (ngx.var.cookie_userId or anonymous), rate 10, burst 20} } -- 令牌桶算法实现 local function check_rate_limit(key, rate, burst) local current_time ngx.now() local data_key limiter: .. key -- 获取或初始化桶状态 local bucket_data rate_limit_store:get(data_key) local tokens, last_time if bucket_data then local decoded cjson.decode(bucket_data) tokens decoded.tokens last_time decoded.last_time else tokens burst last_time current_time end -- 计算新增令牌 local elapsed current_time - last_time tokens math.min(burst, tokens elapsed * rate) -- 尝试消费1个令牌 if tokens 1 then tokens tokens - 1 rate_limit_store:set(data_key, cjson.encode({ tokens tokens, last_time current_time }), 10) return true else return false end end -- 检查所有限流规则 for _, limit in ipairs(limits) do if not check_rate_limit(limit.key, limit.rate, limit.burst) then ngx.log(ngx.WARN, Rate limit exceeded: , limit.key) ngx.header[X-RateLimit-Remaining] 0 ngx.status 429 ngx.say(cjson.encode({ code 429, message Too many requests, retryAfter 1 })) ngx.exit(429) end end -- 动态黑名单 (连续失败5次) local fail_count_key fail: .. ip local fail_count rate_limit_store:get(fail_count_key) or 0 if fail_count 5 then local blacklist ngx.shared.ip_blacklist blacklist:set(ip, true, 300) -- 封禁5分钟 ngx.exit(ngx.HTTP_FORBIDDEN) end3.3 第三层: Spring Cloud Gateway 限流熔断3.3.1 网关配置package com.taobao.seckill.gateway.config; import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver; import org.springframework.cloud.gateway.filter.ratelimit.RedisRateLimiter; import org.springframework.cloud.gateway.route.RouteLocator; import org.springframework.cloud.gateway.route.builder.RouteLocatorBuilder; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import reactor.core.publisher.Mono; Configuration public class GatewayConfig { Bean public RouteLocator customRouteLocator(RouteLocatorBuilder builder) { return builder.routes() .route(seckill_route, r - r .path(/api/seckill/**) .filters(f - f // 限流过滤器 .requestRateLimiter(c - c .setRateLimiter(redisRateLimiter()) .setKeyResolver(userKeyResolver()) .setDenyEmptyKey(false)) // 熔断过滤器 .circuitBreaker(c - c .setName(seckillCircuitBreaker) .setFallbackUri(forward:/fallback/seckill)) // 重试过滤器 .retry(c - c .setRetries(2) .setStatuses(org.springframework.http.HttpStatus.INTERNAL_SERVER_ERROR)) // 请求日志 .filter(new RequestLogFilter()) ) .uri(lb://seckill-service) ) .build(); } Bean public RedisRateLimiter redisRateLimiter() { return new RedisRateLimiter( 100, // replenishRate: 每秒填充速率 200, // burstCapacity: 桶容量 1 // requestedTokens: 每次消耗令牌数 ); } Bean public KeyResolver userKeyResolver() { return exchange - { String userId exchange.getRequest() .getHeaders() .getFirst(X-User-Id); return Mono.just(userId ! null ? userId : exchange.getRequest().getRemoteAddress().getAddress().getHostAddress()); }; } }3.3.2 Sentinel熔断配置package com.taobao.seckill.gateway.sentinel; import com.alibaba.csp.sentinel.adapter.gateway.common.SentinelGatewayConstants; import com.alibaba.csp.sentinel.adapter.gateway.common.api.ApiDefinition; import com.alibaba.csp.sentinel.adapter.gateway.common.api.ApiPathPredicateItem; import com.alibaba.csp.sentinel.adapter.gateway.common.api.GatewayApiDefinitionManager; import com.alibaba.csp.sentinel.adapter.gateway.common.rule.GatewayFlowRule; import com.alibaba.csp.sentinel.adapter.gateway.common.rule.GatewayRuleManager; import com.alibaba.csp.sentinel.adapter.gateway.sc.callback.GatewayCallbackManager; import com.alibaba.csp.sentinel.slots.block.degrade.DegradeRule; import com.alibaba.csp.sentinel.slots.block.degrade.DegradeRuleManager; import com.alibaba.csp.sentinel.slots.block.degrade.circuitbreaker.CircuitBreakerStrategy; import org.springframework.context.annotation.Configuration; import org.springframework.http.HttpStatus; import org.springframework.http.MediaType; import org.springframework.web.reactive.function.BodyInserters; import org.springframework.web.reactive.function.server.ServerResponse; import javax.annotation.PostConstruct; import java.util.*; Configuration public class SentinelGatewayConfig { PostConstruct public void init() { initApiDefinitions(); initGatewayRules(); initDegradeRules(); initBlockHandler(); } private void initApiDefinitions() { SetApiDefinition definitions new HashSet(); // 定义秒杀API组 ApiDefinition seckillApi new ApiDefinition(seckill_api) .setPredicateItems(new HashSet() {{ add(new ApiPathPredicateItem() .setPattern(/api/seckill/buy/**) .setMatchStrategy(SentinelGatewayConstants.URL_MATCH_STRATEGY_PREFIX)); }}); definitions.add(seckillApi); GatewayApiDefinitionManager.loadApiDefinitions(definitions); } private void initGatewayRules() { SetGatewayFlowRule rules new HashSet(); // QPS限流: 5万/秒 GatewayFlowRule qpsRule new GatewayFlowRule(seckill_api) .setCount(50000) .setIntervalSec(1) .setControlBehavior(0); // 快速失败 // 线程数限流: 500 GatewayFlowRule threadRule new GatewayFlowRule(seckill_api) .setGrade(0) .setCount(500); rules.add(qpsRule); rules.add(threadRule); GatewayRuleManager.loadRules(rules); } private void initDegradeRules() { ListDegradeRule rules new ArrayList(); // 慢调用比例熔断 DegradeRule slowRule new DegradeRule(seckill_api) .setGrade(CircuitBreakerStrategy.SLOW_REQUEST_RATIO.getType()) .setCount(500) // RT阈值 500ms .setSlowRatioThreshold(0.6) // 慢调用比例 60% .setMinRequestAmount(20) .setStatIntervalMs(10000) // 统计窗口 10s .setTimeWindow(30); // 熔断时长 30s // 异常比例熔断 DegradeRule errorRule new DegradeRule(seckill_api) .setGrade(CircuitBreakerStrategy.ERROR_RATIO.getType()) .setCount(0.5) // 异常比例 50% .setMinRequestAmount(10) .setStatIntervalMs(10000) .setTimeWindow(60); rules.add(slowRule); rules.add(errorRule); DegradeRuleManager.loadRules(rules); } private void initBlockHandler() { GatewayCallbackManager.setBlockHandler((exchange, t) - ServerResponse.status(HttpStatus.TOO_MANY_REQUESTS) .contentType(MediaType.APPLICATION_JSON) .body(BodyInserters.fromValue(Map.of( code, 429, message, 系统繁忙,已为您排队, timestamp, System.currentTimeMillis(), queuePosition, getQueuePosition() ))) ); } private int getQueuePosition() { // 模拟队列位置 return (int) (Math.random() * 10000); } }3.4 第四层: 应用层 - Redis库存预扣减3.4.1 秒杀核心Servicepackage com.taobao.seckill.service; import lombok.extern.slf4j.Slf4j; import org.redisson.api.*; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.core.script.DefaultRedisScript; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.stereotype.Service; import java.util.Collections; import java.util.concurrent.TimeUnit; Slf4j Service public class SeckillService { Autowired private RedissonClient redisson; Autowired private StringRedisTemplate redisTemplate; Autowired private KafkaTemplateString, String kafkaTemplate; private static final String STOCK_KEY seckill:stock:; private static final String USER_BUY_KEY seckill:user:; private static final String ORDER_QUEUE seckill.order.queue; /** * 方案1: Lua脚本原子操作 (推荐) */ public boolean seckillWithLua(Long productId, Long userId) { String stockKey STOCK_KEY productId; String userKey USER_BUY_KEY productId; // Lua脚本: 库存扣减 用户去重 限购 String luaScript local stock redis.call(get, KEYS[1]) if not stock or tonumber(stock) 0 then return {0, SOLD_OUT} end local userBuyCount redis.call(hget, KEYS[2], ARGV[1]) if userBuyCount and tonumber(userBuyCount) tonumber(ARGV[3]) then return {-1, LIMIT_EXCEEDED} end redis.call(decr, KEYS[1]) redis.call(hincrby, KEYS[2], ARGV[1], 1) redis.call(expire, KEYS[2], ARGV[2]) return {1, SUCCESS}; DefaultRedisScriptList script new DefaultRedisScript(); script.setScriptText(luaScript); script.setResultType(List.class); ListObject result redisTemplate.execute( script, Arrays.asList(stockKey, userKey), userId.toString(), 86400, // 24小时过期 1 // 限购1件 ); if (result null || (Long) result.get(0) 0) { log.warn(秒杀失败: userId{}, productId{}, reason{}, userId, productId, result ! null ? result.get(1) : UNKNOWN); return false; } // 异步创建订单 (发送Kafka消息) sendOrderMessage(productId, userId); return true; } /** * 方案2: Redisson分布式信号量 */ public boolean seckillWithSemaphore(Long productId, Long userId) { String semaphoreKey seckill:semaphore: productId; RSemaphore semaphore redisson.getSemaphore(semaphoreKey); // 初始化信号量 (库存数量) if (!semaphore.isExists()) { semaphore.trySetPermits(10000); } // 尝试获取许可 boolean acquired semaphore.tryAcquire(100, TimeUnit.MILLISECONDS); if (!acquired) { log.info(库存不足: productId{}, productId); return false; } try { // 用户去重检查 if (hasBought(productId, userId)) { semaphore.release(); return false; } // 异步创建订单 sendOrderMessage(productId, userId); return true; } catch (Exception e) { // 异常回滚信号量 semaphore.release(); throw e; } } /** * 方案3: RedissonRateLimiter 布隆过滤器 */ public boolean seckillWithBloomFilter(Long productId, Long userId) { // 1. 布隆过滤器拦截无效用户 RBloomFilterString bloomFilter redisson.getBloomFilter(seckill:valid:users); if (!bloomFilter.contains(userId.toString())) { log.warn(非法用户: userId{}, userId); return false; } // 2. 用户级别限流 RRateLimiter userLimiter redisson.getRateLimiter(user:limit: userId); if (!userLimiter.tryAcquire(1, 0, TimeUnit.SECONDS)) { log.warn(用户请求过快: userId{}, userId); return false; } // 3. Lua脚本扣减库存 return seckillWithLua(productId, userId); } /** * 库存预热 (秒杀开始前) */ public void warmUpStock(Long productId, Integer stock) { String stockKey STOCK_KEY productId; redisTemplate.opsForValue().set(stockKey, stock.toString(), 1, TimeUnit.HOURS); // 初始化布隆过滤器 RBloomFilterString bloomFilter redisson.getBloomFilter(seckill:valid:users); bloomFilter.tryInit(10000000, 0.01); // 1000万用户,1%误判率 log.info(库存预热完成: productId{}, stock{}, productId, stock); } /** * 库存回补 (订单取消/超时) */ public void replenishStock(Long productId, Integer quantity) { String stockKey STOCK_KEY productId; redisTemplate.opsForValue().increment(stockKey, quantity); log.info(库存回补: productId{}, quantity{}, productId, quantity); } private boolean hasBought(Long productId, Long userId) { String userKey USER_BUY_KEY productId; return redisTemplate.opsForHash().hasKey(userKey, userId.toString()); } private void sendOrderMessage(Long productId, Long userId) { String message String.format({\productId\:%d,\userId\:%d,\timestamp\:%d}, productId, userId, System.currentTimeMillis()); kafkaTemplate.send(ORDER_QUEUE, message); log.info(订单消息已发送: {}, message); } }3.4.2 秒杀Controllerpackage com.taobao.seckill.controller; import com.alibaba.csp.sentinel.annotation.SentinelResource; import com.alibaba.csp.sentinel.slots.block.BlockException; import com.taobao.seckill.annotation.AccessLimit; import com.taobao.seckill.service.SeckillService; import lombok.extern.slf4j.Slf4j; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.*; import javax.servlet.http.HttpServletRequest; import java.util.Map; Slf4j RestController RequestMapping(/api/seckill) public class SeckillController { Autowired private SeckillService seckillService; /** * 秒杀抢购接口 */ PostMapping(/buy/{productId}) AccessLimit(seconds 1, maxCount 5) // 自定义限流注解 SentinelResource( value seckill-buy, blockHandler buyBlockHandler, fallback buyFallback ) public MapString, Object buy( PathVariable Long productId, RequestHeader(X-User-Id) Long userId, HttpServletRequest request ) { // 防刷校验 if (!validateRequest(request, userId)) { return error(403, 非法请求); } // 秒杀逻辑 boolean success seckillService.seckillWithLua(productId, userId); if (success) { return success(抢购成功,订单生成中); } else { return error(400, 商品已抢完或您已购买); } } /** * Sentinel限流降级处理 */ public MapString, Object buyBlockHandler( Long productId, Long userId, HttpServletRequest request, BlockException ex ) { log.warn(触发限流: userId{}, productId{}, userId, productId); return error(429, 系统繁忙,已为您排队,请稍后查看订单); } /** * 异常兜底 */ public MapString, Object buyFallback( Long productId, Long userId, HttpServletRequest request, Throwable ex ) { log.error(秒杀异常: userId{}, productId{}, userId, productId, ex); return error(500, 系统异常,请稍后重试); } /** * 查询库存 (SSE推送) */ GetMapping(value /stock/{productId}, produces text/event-stream) public SseEmitter getStock(PathVariable Long productId) { SseEmitter emitter new SseEmitter(60000L); // 定时推送库存 ScheduledExecutorService executor Executors.newSingleThreadScheduledExecutor(); executor.scheduleAtFixedRate(() - { try { String stock redisTemplate.opsForValue().get(seckill:stock: productId); emitter.send(SseEmitter.event() .name(stock) .data(Map.of(stock, stock ! null ? stock : 0))); } catch (Exception e) { emitter.completeWithError(e); executor.shutdown(); } }, 0, 500, TimeUnit.MILLISECONDS); emitter.onCompletion(executor::shutdown); emitter.onTimeout(executor::shutdown); return emitter; } private boolean validateRequest(HttpServletRequest request, Long userId) { // 1. 验证签名 String timestamp request.getHeader(X-Timestamp); String nonce request.getHeader(X-Nonce); String sign request.getHeader(X-Sign); if (timestamp null || nonce null || sign null) { return false; } // 2. 时间戳校验 (5秒内有效) long requestTime Long.parseLong(timestamp); if (Math.abs(System.currentTimeMillis() - requestTime) 5000) { return false; } // 3. 签名校验 String expectedSign DigestUtils.md5Hex(userId timestamp nonce SECRET_KEY); return sign.equals(expectedSign); } private MapString, Object success(String message) { return Map.of(code, 200, message, message, timestamp, System.currentTimeMillis()); } private MapString, Object error(int code, String message) { return Map.of(code, code, message, message, timestamp, System.currentTimeMillis()); } }3.4.3 自定义限流注解package com.taobao.seckill.annotation; import java.lang.annotation.*; Target(ElementType.METHOD) Retention(RetentionPolicy.RUNTIME) Documented public interface AccessLimit { int seconds() default 1; int maxCount() default 5; boolean needLogin() default true; }package com.taobao.seckill.aspect; import com.taobao.seckill.annotation.AccessLimit; import lombok.extern.slf4j.Slf4j; import org.aspectj.lang.JoinPoint; import org.aspectj.lang.annotation.Aspect; import org.aspectj.lang.annotation.Before; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.stereotype.Component; import org.springframework.web.context.request.RequestContextHolder; import org.springframework.web.context.request.ServletRequestAttributes; import javax.servlet.http.HttpServletRequest; import java.util.concurrent.TimeUnit; Slf4j Aspect Component public class AccessLimitAspect { Autowired private StringRedisTemplate redisTemplate; Before(annotation(accessLimit)) public void before(JoinPoint joinPoint, AccessLimit accessLimit) { HttpServletRequest request ((ServletRequestAttributes) RequestContextHolder.currentRequestAttributes()).getRequest(); String userId request.getHeader(X-User-Id); if (accessLimit.needLogin() userId null) { throw new RuntimeException(请先登录); } String key access:limit: request.getRequestURI() : userId; Integer count (Integer) redisTemplate.opsForValue().get(key); if (count null) { redisTemplate.opsForValue().set(key, 1, accessLimit.seconds(), TimeUnit.SECONDS); } else if (count accessLimit.maxCount()) { redisTemplate.opsForValue().increment(key); } else { log.warn(访问限流: userId{}, uri{}, userId, request.getRequestURI()); throw new RuntimeException(访问过于频繁); } } }3.5 第五层: 数据层 - 异步落库 分库分表3.5.1 Kafka消费者 (订单创建)java package com.taobao.seckill.consumer; import com.alibaba.fastjson.JSON; import com.taobao.seckill.entity.SeckillOrder; import com.taobao.seckill.mapper.SeckillOrderMapper; import lombok.extern.slf4j.Slf4j; import org.apache.kafka.clients.consumer.ConsumerRecord; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.kafka.annotation.KafkaListener; import org.springframework.kafka.support.Acknowledgment; import org.springframework.stereotype.Component; import org.springframework.transaction.annotation.Transactional; import java.util.ArrayList; import java.util.List; import java.util.concurrent.TimeUnit; Slf4j Component public class SeckillOrderConsumer { Autowired private SeckillOrderMapper orderMapper; Autowired private RedissonClient redisson; private final ListSeckillOrder batchBuffer new ArrayList(1000); /** * 消费秒杀订单消息 (批量插入优化) */ KafkaListener( topics seckill.order.queue, groupId seckill-order-group, concurrency 10, properties { max.poll.records100, fetch.min.bytes1048576 // 1MB } ) public void consumeOrder(ListConsumerRecordString, String records, Acknowledgment ack) { log.info(接收到{}条订单消息, records.size()); try { for (ConsumerRecordString, String record : records) { SeckillOrder order parseOrder(record.value()); // 幂等性检查 (防止重复消费) if (isOrderExists(order.getOrderId())) { continue; } batchBuffer.add(order); // 批量插入 (每1000条刷一次) if (batchBuffer.size() 1000) { batchInsertOrders(); } } // 剩余订单刷库 if (!batchBuffer.isEmpty()) { batchInsertOrders(); } // 手动提交offset ack.acknowledge(); } catch (Exception e) { log.error(订单消费失败, e); // 不ACK,触发重试 } } Transactional(rollbackFor Exception.class) public void batchInsertOrders() { if (batchBuffer.isEmpty()) { return; } try { // MyBatis批量插入 orderMapper.batchInsert(batchBuffer); log.info(批量插入订单成功: count{}, batchBuffer.size()); // 写入幂等表 for (SeckillOrder order : batchBuffer) { cacheOrderId(order.getOrderId()); } } finally { batchBuffer.clear(); } } private SeckillOrder parseOrder(String message) { MapString, Object map JSON.parseObject(message, Map.class); SeckillOrder order new SeckillOrder(); order.setOrderId(generateOrderId()); order.setProductId(Long.valueOf(map.get(productId).toString())); order.setUserId(Long.valueOf(map.get(userId).toString())); order.setStatus(0); // 待支付 order.setCreateTime(new Date()); return order; } private String generateOrderId() { // 雪花算法生成订单号 return String.valueOf(System.currentTimeMillis()) String.format(%06d, (int) (Math.random() * 1000000)); } private boolean isOrderExists(String orderId) { RBucketString bucket redisson.getBucket(order:exists: orderId); return bucket.isExists(); } private void cacheOrderId(String orderId) { RBucketString bucket redisson.getBucket(order:exists: orderId); bucket.set(1, 1, TimeUnit.HOURS); } }3.5.2 ShardingSphere分库分表配置application-sharding.ymlspring: shardingsphere: datasource: names: ds0,ds1,ds2,ds3 ds0: type: com.zaxxer.hikari.HikariDataSource driver-class-name: com.mysql.cj.jdbc.Driver jdbc-url: jdbc:mysql://db0.taobao.com:3306/seckill_0?useSSLfalse username: root password: xxx hikari: maximum-pool-size: 50 minimum-idle: 10 connection-timeout: 3000 ds1: type: com.zaxxer.hikari.HikariDataSource jdbc-url: jdbc:mysql://db1.taobao.com:3306/seckill_1?useSSLfalse hikari: maximum-pool-size: 50 ds2: jdbc-url: jdbc:mysql://db2.taobao.com:3306/seckill_2?useSSLfalse ds3: jdbc-url: jdbc:mysql://db3.taobao.com:3306/seckill_3?useSSLfalse sharding: default-database-strategy: inline: sharding-column: user_id algorithm-expression: ds$-{user_id % 4} tables: seckill_order: actual-data-nodes: ds$-{0..3}.seckill_order_$-{0..15} table-strategy: inline: sharding-column: user_id algorithm-expression: seckill_order_$-{user_id % 16} key-generator: column: id type: SNOWFLAKE props: worker.id: ${server.port} binding-tables: seckill_order,seckill_order_item broadcast-tables: seckill_product props: sql.show: false executor.size: 503.6 数据核对四、压测监控策略4.1 压测方案4.1.1 JMeter压测脚本4.1.2 压测场景设计场景1: 预热测试 (1000并发,持续30秒)jmeter -n -t warmup.jmx -Jthreads1000 -Jrampup10 -Jduration30 -l warmup_result.jtl场景2: 常规压测 (5000并发,持续60秒)jmeter -n -t normal.jmx -Jthreads5000 -Jrampup20 -Jduration60 -l normal_result.jtl场景3: 极限压测 (20000并发,持续120秒)jmeter -n -t extreme.jmx -Jthreads20000 -Jrampup30 -Jduration120 -l extreme_result.jtl4.2 监控体系4.2.1 Prometheus监控配置4.2.2 Grafana Dashboard配置4.2.3 自定义业务指标