七：SpringBoot-集成Redis数据库，实现缓存管理

1、SpringBoot集成Redis

1.1 核心依赖

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

1.2 配置文件

# 端口
server:
  port: 8008
spring:
  application:
    # 应用名称
    name: node08-boot-redis
  # redis 配置
  redis:
    host: 127.0.0.1
    #超时连接
    timeout: 1000ms
    jedis:
      pool:
        #最大连接数据库连接数,设 0 为没有限制
        max-active: 8
        #最大等待连接中的数量,设 0 为没有限制
        max-idle: 8
        #最大建立连接等待时间。如果超过此时间将接到异常。设为-1表示无限制。
        max-wait: -1ms
        #最小等待连接中的数量,设 0 为没有限制
        min-idle: 0

这样Redis的环境就配置成功了，已经可以直接使用封装好的API了。

1.3 简单测试案例

import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import java.util.concurrent.TimeUnit;
@RestController
public class RedisController {
    @Resource
    private StringRedisTemplate stringRedisTemplate ;
    @RequestMapping("/setGet")
    public String setGet (){
        stringRedisTemplate.opsForValue().set("cicada","smile");
        return stringRedisTemplate.opsForValue().get("cicada") ;
    }
    @Resource
    private RedisTemplate redisTemplate ;
    /**
     * 设置 Key 的有效期 10 秒
     */
    @RequestMapping("/setKeyTime")
    public String setKeyTime (){
        redisTemplate.opsForValue().set("timeKey","timeValue",10, TimeUnit.SECONDS);
        return "success" ;
    }
    @RequestMapping("/getTimeKey")
    public String getTimeKey (){
        // 这里 Key 过期后，返回的是字符串 'null'
        return String.valueOf(redisTemplate.opsForValue().get("timeKey")) ;
    }
}

1.4 自定义序列化配置

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.io.Serializable;
/**
 * Redis 配置
 */
@Configuration
public class RedisConfig {
    private static final Logger LOGGER = LoggerFactory.getLogger(RedisConfig.class) ;
    /**
     * 序列化配置
     */
    @Bean
    public RedisTemplate<String, Serializable> redisTemplate
            (LettuceConnectionFactory  redisConnectionFactory) {
        LOGGER.info("RedisConfig == >> redisTemplate ");
        RedisTemplate<String, Serializable> template = new RedisTemplate<>();
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
        template.setConnectionFactory(redisConnectionFactory);
        return template;
    }
}

1.5 序列化测试

import com.boot.redis.entity.User;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.List;
@RestController
public class SerializeController {
    @Resource
    private RedisTemplate redisTemplate ;
    @RequestMapping("/setUser")
    public String setUser (){
        User user = new User() ;
        user.setName("cicada");
        user.setAge(22);
        List<String> list = new ArrayList<>() ;
        list.add("小学");
        list.add("初中");
        list.add("高中");
        list.add("大学");
        user.setEducation(list);
        redisTemplate.opsForValue().set("userInfo",user);
        return "success" ;
    }
    @RequestMapping("/getUser")
    public User getUser (){
        return (User)redisTemplate.opsForValue().get("userInfo") ;
    }
}