1.分库分表技术
2.上一节解决超卖问题:1.数据库加索引,防止用户重复购买 2.SQL 加库存数量判断,防止库存变为负数。
3.秒杀接口优化。
3.1 系统初始化,把商品库存数量加载到redis.
3.2收到请求,redis预减库存,库存不足,直接返回,否则进入3.
3.3请求入队,立即返回排队中。
3.4请求出队,生成订单,减少库存。
3.5客户端轮询,是否秒杀成功。
3.6 安装 rabbitmq
3.6.1 安装 elang
3.6.2 安装
3.6.5 启动rabbitmq
3.6.6
#rabbitmq
spring.rabbitmq.host=127.0.0.1
spring.rabbitmq.port=15672
spring.rabbitmq.username=guest
spring.rabbitmq.password=guest
spring.rabbitmq.virtual-host=/
#\u6D88\u8D39\u8005\u6570\u91CF
spring.rabbitmq.listener.simple.concurrency= 10
spring.rabbitmq.listener.simple.max-concurrency= 10
#\u6D88\u8D39\u8005\u6BCF\u6B21\u4ECE\u961F\u5217\u83B7\u53D6\u7684\u6D88\u606F\u6570\u91CF
spring.rabbitmq.listener.simple.prefetch= 1
#\u6D88\u8D39\u8005\u81EA\u52A8\u542F\u52A8
spring.rabbitmq.listener.simple.auto-startup=true
#\u6D88\u8D39\u5931\u8D25\uFF0C\u81EA\u52A8\u91CD\u65B0\u5165\u961F
spring.rabbitmq.listener.simple.default-requeue-rejected= true
#\u542F\u7528\u53D1\u9001\u91CD\u8BD5
spring.rabbitmq.template.retry.enabled=true
spring.rabbitmq.template.retry.initial-interval=1000
spring.rabbitmq.template.retry.max-attempts=3
spring.rabbitmq.template.retry.max-interval=10000
spring.rabbitmq.template.retry.multiplier=1.0
3.7.1 rabbitmq.config
package com.imooc.miaosha.rabbitmq;
import java.util.HashMap;
import java.util.Map;
import org.springframework.amqp.core.Binding;
import org.springframework.amqp.core.BindingBuilder;
import org.springframework.amqp.core.FanoutExchange;
import org.springframework.amqp.core.HeadersExchange;
import org.springframework.amqp.core.Queue;
import org.springframework.amqp.core.TopicExchange;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class MQConfig {
public static final String MIAOSHA_QUEUE = "miaosha.queue";
public static final String QUEUE = "queue";
public static final String TOPIC_QUEUE1 = "topic.queue1";
public static final String TOPIC_QUEUE2 = "topic.queue2";
public static final String HEADER_QUEUE = "header.queue";
public static final String TOPIC_EXCHANGE = "topicExchage";
public static final String FANOUT_EXCHANGE = "fanoutxchage";
public static final String HEADERS_EXCHANGE = "headersExchage";
/**
* Direct模式 交换机Exchange
* */
@Bean
public Queue queue() {
return new Queue(QUEUE, true);
}
/**
* Topic模式 交换机Exchange
* */
@Bean
public Queue topicQueue1() {
return new Queue(TOPIC_QUEUE1, true);
}
@Bean
public Queue topicQueue2() {
return new Queue(TOPIC_QUEUE2, true);
}
@Bean
public TopicExchange topicExchage(){
return new TopicExchange(TOPIC_EXCHANGE);
}
@Bean
public Binding topicBinding1() {
return BindingBuilder.bind(topicQueue1()).to(topicExchage()).with("topic.key1");
}
@Bean
public Binding topicBinding2() {
return BindingBuilder.bind(topicQueue2()).to(topicExchage()).with("topic.#");
}
/**
* Fanout模式 交换机Exchange
* */
@Bean
public FanoutExchange fanoutExchage(){
return new FanoutExchange(FANOUT_EXCHANGE);
}
@Bean
public Binding FanoutBinding1() {
return BindingBuilder.bind(topicQueue1()).to(fanoutExchage());
}
@Bean
public Binding FanoutBinding2() {
return BindingBuilder.bind(topicQueue2()).to(fanoutExchage());
}
/**
* Header模式 交换机Exchange
* */
@Bean
public HeadersExchange headersExchage(){
return new HeadersExchange(HEADERS_EXCHANGE);
}
@Bean
public Queue headerQueue1() {
return new Queue(HEADER_QUEUE, true);
}
@Bean
public Binding headerBinding() {
Map<String, Object> map = new HashMap<String, Object>();
map.put("header1", "value1");
map.put("header2", "value2");
return BindingBuilder.bind(headerQueue1()).to(headersExchage()).whereAll(map).match();
}
}
3.7.2用户不能远程连接
vi rabbitmq.config
重启测试:
版权声明:本文为oDianZi1234567原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接和本声明。