多级缓存架构(四)Redis缓存

通过本文章，可以完成多级缓存架构中的Redis缓存。

一、Redis服务

在docker/docker-compose.yml中，添加redis服务块

  redis:
    container_name: redis
    image: redis:7.2
    volumes:
      - ./redis/redis.conf:/usr/local/etc/redis/redis.conf
    ports:
      - "6379:6379"
    command: ["redis-server", "/usr/local/etc/redis/redis.conf"]
    networks:
      multi-cache:
        ipv4_address: 172.30.3.21

二、Redis缓存预热

在spirngboot项目启动时，将固定的热点数据提前加载到redis中。

1. 引入依赖

pom.xml添加如下依赖

		<dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-data-redisartifactId>
        dependency>
        <dependency>
            <groupId>io.lettucegroupId>
            <artifactId>lettuce-coreartifactId>
            <version>6.1.4.RELEASEversion> 
        dependency>
        
        <dependency>
            <groupId>com.alibaba.fastjson2groupId>
            <artifactId>fastjson2artifactId>
            <version>2.0.41version>
        dependency>

application.yml添加如下配置

spring:
  redis:
    host: 172.30.3.21

2. handler类实现

新建config.RedisHandler类，内容如下，主要是重写afterPropertiesSet，完成缓存预热逻辑，saveItem和deleteItemById函数给之后的章节使用。

@Component
public class RedisHandler implements InitializingBean {
    @Autowired
    private StringRedisTemplate redisTemplate;
    @Autowired
    private IItemService itemService;
    @Autowired
    private IItemStockService stockService;
    @Override
    public void afterPropertiesSet() throws Exception {
        List<Item> itemList = itemService.list();
        for (Item item : itemList) {
            String json = JSON.toJSONString(item);
            redisTemplate.opsForValue().set("item:id:"+item.getId(), json);
        }
        List<ItemStock> stockList = stockService.list();
        for (ItemStock stock : stockList) {
            String json = JSON.toJSONString(stock);
            redisTemplate.opsForValue().set("item:stock:id:"+stock.getId(), json);
        }
    }

    public void saveItem(Item item){
        String json = JSON.toJSONString(item);
        redisTemplate.opsForValue().set("item:id:"+item.getId(), json);
    }

    public void deleteItemById(Long id){
        redisTemplate.delete("item:id:"+id);
    }
}

三、整合Redis缓存

改进openresty的docker/openresty1/lualib/common.lua，如下

local redis = require('resty.redis')
local red = redis:new()
red:set_timeouts(1000, 1000, 1000)
-- 创建一个本地缓存对象item_cache
local item_cache = ngx.shared.item_cache;

-- 关闭redis连接的工具方法，其实是放入连接池
local function close_redis(red)
    local pool_max_idle_time = 10000 -- 连接的空闲时间，单位是毫秒
    local pool_size = 100 --连接池大小
    local ok, err = red:set_keepalive(pool_max_idle_time, pool_size)
    if not ok then
        ngx.log(ngx.ERR, "放入redis连接池失败: ", err)
    end
end

-- 查询redis的方法 ip和port是redis地址，key是查询的key
local function read_redis(ip, port, key)
    -- 获取一个连接
    local ok, err = red:connect(ip, port)
    if not ok then
        ngx.log(ngx.ERR, "连接redis失败 : ", err)
        return nil
    end
    -- 查询redis
    local resp, err = red:get(key)
    -- 查询失败处理
    if not resp then
        ngx.log(ngx.ERR, "查询Redis失败: ", err, ", key = " , key)
    end
    --得到的数据为空处理
    if resp == ngx.null then
        resp = nil
        ngx.log(ngx.ERR, "查询Redis数据为空, key = ", key)
    end
    close_redis(red)
    return resp
end

-- 函数，向openresty本身发送类似/path/item/10001请求，根据conf配置，将被删除/path前缀并代理至tomcat程序
local function read_get(path, params)
    local rsp = ngx.location.capture('/path'..path,{
        method = ngx.HTTP_GET,
        args = params,
    })
    if not rsp then
        ngx.log(ngx.ERR, "http not found, path: ", path, ", args: ", params);
        ngx.exit(404)
    end
    return rsp.body
end

-- 函数，如果本地有缓存，使用缓存，如果没有代理到tomcat然后将数据存入缓存
local function read_data(key, expire, path, params)
    -- query local cache
    local rsp = item_cache:get(key)
    -- query redis
    if not rsp then
        ngx.log(ngx.ERR, "local cache miss, try redis, key: ", key)
        rsp = read_redis("172.30.3.21", 6379, key)
        if not rsp then
            ngx.log(ngx.ERR, "redis cache miss, try tomcat, key: ", key)
            rsp = read_get(path, params)
        end
    end
    -- write into local cache
    item_cache:set(key, rsp, expire)
    return rsp
end

local _M = {
    read_get = read_get,
    read_redis = read_redis,
    read_data = read_data
}

return _M

item.lua不需要用改动。

四、运行

到此为止，docker-compose.yml内容应该如下

version: '3.8'

networks:
  multi-cache:
    driver: bridge
    ipam:
      driver: default
      config:
        - subnet: 172.30.3.0/24

services:
  mysql:
    container_name: mysql
    image: mysql:8
    volumes:
      - ./mysql/conf/my.cnf:/etc/mysql/conf.d/my.cnf
      - ./mysql/data:/var/lib/mysql
      - ./mysql/logs:/logs
    ports:
      - "3306:3306"
    environment:
      - MYSQL_ROOT_PASSWORD=1009
    networks:
      multi-cache:
        ipv4_address: 172.30.3.2

  nginx:
    container_name: nginx
    image: nginx:stable
    volumes:
      - ./nginx/conf/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/conf/conf.d/default.conf:/etc/nginx/conf.d/default.conf
      - ./nginx/dist:/usr/share/nginx/dist
    ports:
      - "8080:8080"
    networks:
      multi-cache:
        ipv4_address: 172.30.3.3

  openresty1:
    container_name: openresty1
    image: openresty/openresty:1.21.4.3-3-jammy-amd64
    volumes:
      - ./openresty1/conf/nginx.conf:/usr/local/openresty/nginx/conf/nginx.conf
      - ./openresty1/conf/conf.d/default.conf:/etc/nginx/conf.d/default.conf
      - ./openresty1/lua:/usr/local/openresty/nginx/lua
      - ./openresty1/lualib/common.lua:/usr/local/openresty/lualib/common.lua
    networks:
      multi-cache:
        ipv4_address: 172.30.3.11

  redis:
    container_name: redis
    image: redis:7.2
    volumes:
      - ./redis/redis.conf:/usr/local/etc/redis/redis.conf
    ports:
      - "6379:6379"
    command: [ "redis-server", "/usr/local/etc/redis/redis.conf" ]
    networks:
      multi-cache:
        ipv4_address: 172.30.3.21

删除原来的multiCache，重新启动各项服务。

docker-compose -p multi-cache up -d

启动springboot程序。

五、测试

1. redis缓存预热

springboot程序启动后，出现查询日志，查看redis数据库发现自动存入了数据。

2. redis缓存命中

清空openresty容器日志，访问http://localhost:8080/item.html?id=10001，查看日志，发现两次commonUtils.read_data都只触发到查询redis，没到查询tomcat。

2024-01-12 16:06:18 2024/01/12 08:06:18 [error] 7#7: *1 [lua] common.lua:59: read_data(): local cache miss, try redis, key: item:id:10001, client: 172.30.3.3, server: localhost, request: "GET /api/item/10001 HTTP/1.0", host: "nginx-cluster", referrer: "http://localhost:8080/item.html?id=10001"
2024-01-12 16:06:18 2024/01/12 08:06:18 [error] 7#7: *1 [lua] common.lua:59: read_data(): local cache miss, try redis, key: item:stock:id:10001, client: 172.30.3.3, server: localhost, request: "GET /api/item/10001 HTTP/1.0", host: "nginx-cluster", referrer: "http://localhost:8080/item.html?id=10001"
2024-01-12 16:06:18 172.30.3.3 - - [12/Jan/2024:08:06:18 +0000] "GET /api/item/10001 HTTP/1.0" 200 466 "http://localhost:8080/item.html?id=10001" "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36 Edg/121.0.0.0"

查看springboot程序日志，也没有查询记录，说明redis缓存命中成功。

六、高可用集群

对于redis高可用集群，可以参考以下专栏文章。
https://blog.csdn.net/m0_51390969/category_12546314.html?spm=1001.2014.3001.5482