背景:缓存框架有很多,可为什么偏偏选择redis作为缓存方案呢?严格来说,redis是一个key-value型数据库,也就是NOSQL数据库,但是它是将数据放在内存当中的,所以读写速度非常快,因此 redis 被广泛应用于缓存方向。

1.修改pom.xml,添加依赖

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
        <!--使用默认的Lettuce时,若配置spring.redis.lettuce.pool则必须配置该依赖-->
        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-pool2</artifactId>
        </dependency>
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>2.7.3</version>
        </dependency>
        <!--解决jdk1.8中新时间API的序列化时出现com.fasterxml.jackson.databind.exc.InvalidDefinitionException的问题-->
        <dependency>
            <groupId>com.fasterxml.jackson.datatype</groupId>
            <artifactId>jackson-datatype-jsr310</artifactId>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.10</version>
        </dependency>
</dependencies>

2.修改application.properties

spring.redis.host=127.0.0.1
spring.redis.port=6379
spring.redis.timeout=3600ms
spring.redis.lettuce.pool.max-active=8
spring.redis.lettuce.pool.max-idle=8

3.定义redis配置类(RedisConfig)

package com.config;
import java.net.UnknownHostException;
import java.time.Duration;
import javax.annotation.Resource;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Import;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import com.util.RedisUtil;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
@Configuration
@EnableCaching // 开启缓存支持(无此注解,可能无法读取redis配置文件)
public class RedisConfig {
  @Value("${spring.redis.timeout}")
  private Duration timeToLive = Duration.ZERO;
  @Resource
  private LettuceConnectionFactory lettuceConnectionFactory;
  /**
      * 解决jdk1.8中新时间API的序列化时出现com.fasterxml.jackson.databind.exc.InvalidDefinitionException的问题
      */
     @Bean(name = "objectMapper")
  public ObjectMapper serializingObjectMapper() {
    ObjectMapper objectMapper = new ObjectMapper();
    objectMapper.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
    objectMapper.registerModule(new JavaTimeModule());
    return objectMapper;
  }
 /**
     * 由于原生的redis自动装配,在存储key和value时,没有设置序列化方式,故自己创建redisTemplate实例
     */
    @Bean(name = "redisTemplate")
    public RedisTemplate<String, Object> redisTemplate(@Qualifier("objectMapper")ObjectMapper objectMapper) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        // 配置连接工厂
        template.setConnectionFactory(lettuceConnectionFactory);
        //使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值(默认使用JDK的序列化方式)
        Jackson2JsonRedisSerializer jacksonSeial = new Jackson2JsonRedisSerializer(Object.class);
//        ObjectMapper om = new ObjectMapper();
        // 指定要序列化的域,field,get和set,以及修饰符范围,ANY是都有包括private和public
        objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        // 指定序列化输入的类型,类必须是非final修饰的,final修饰的类,比如String,Integer等会跑出异常
        objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jacksonSeial.setObjectMapper(objectMapper);
        // 值采用json序列化
        template.setValueSerializer(jacksonSeial);
        //使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        // 设置hash key 和value序列化模式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(jacksonSeial);
        template.afterPropertiesSet();
        return template;
    }
    @Bean(name = "cacheManager")
    public CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        //解决查询缓存转换异常的问题
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        // 配置序列化(解决乱码的问题)
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(timeToLive)
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();
        return  RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();
    }   
}

4.编写redisUtil工具类
这里有个经验:使用static关键字的变量就无法正常自动注入,所以实际开发中,就尽量不要用static关键字了,否则出现很多问题。博主就是在注入redisTemplate的时候,使用了static,导致代码一直报空指针错误(java.lang.NullPointerException)。静态变量/类变量不是对象的属性,而是一个类的属性,spring则是基于对象层面上的依赖注入。 我看见别人的代码用@PostConstruct注解去解决这个问题,但是这里我就直接删掉static,不做过多的分析,等学习较为深入的时候,再回头考虑这个问题

package com.util;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import java.util.concurrent.TimeUnit;
@Slf4j
@Component
public class RedisUtil {
    @Autowired
    @Qualifier("redisTemplate")
    RedisTemplate<String, Object> redisTemplate;
    /**********************************************************************************
     * redis-公共操作
     **********************************************************************************/
    /**
     * 指定缓存失效时间
     *
     * @param key  键
     * @param time 时间(秒)
     * @return
     */
    public boolean expire(String key, long time) {
        try {
            if (time > 0) {
                redisTemplate.expire(key, time, TimeUnit.SECONDS);
            }
            return true;
        } catch (Exception e) {
            log.error("【redis:指定缓存失效时间-异常】", e);
            return false;
        }
    }
    /**
     * 根据key 获取过期时间
     *
     * @param key 键 不能为null
     * @return 时间(秒) 返回0代表为永久有效;如果该key已经过期,将返回"-2";
     */
    public long getExpire(String key) {
        return redisTemplate.getExpire(key, TimeUnit.SECONDS);
    }
    /**
     * 判断key是否存在
     *
     * @param key 键
     * @return true 存在 false不存在
     */
    public boolean exists(String key) {
        try {
            return redisTemplate.hasKey(key);
        } catch (Exception e) {
            log.error("【redis:判断{}是否存在-异常】", key, e);
            return false;
        }
    }
    /**********************************************************************************
     * redis-String类型的操作
     **********************************************************************************/
    /**
     * 普通缓存放入
     *
     * @param key   键
     * @param value 值
     * @return true成功 false失败
     */
    public boolean set(String key, Object value) {
        try {
            redisTemplate.opsForValue().set(key, value);
            return true;
        } catch (Exception e) {
            log.error("【redis:普通缓存放入-异常】", e);
            return false;
        }
    }
    /**
     * 普通缓存放入并设置时间
     *
     * @param key   键
     * @param value 值
     * @param time  时间(秒) time要大于0 如果time小于等于0 将设置无限期
     * @return true成功 false 失败
     */
    public boolean set(String key, Object value, long time) {
        try {
            if (time > 0) {
                redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
            } else {
                set(key, value);
            }
            return true;
        } catch (Exception e) {
            log.error("【redis:普通缓存放入并设置时间-异常】", e);
            return false;
        }
    }
    /**
     * 递增
     *
     * @param key   键
     * @param delta 要增加几(大于0)
     * @return
     */
    public long incr(String key, long delta) {
        if (delta < 0) {
            throw new RuntimeException("递增因子必须大于0");
        }
        return redisTemplate.opsForValue().increment(key, delta);
    }
    /**
     * 递减
     *
     * @param key   键
     * @param delta 要减少几(小于0)
     * @return
     */
    public long decr(String key, long delta) {
        if (delta < 0) {
            throw new RuntimeException("递减因子必须大于0");
        }
        return redisTemplate.opsForValue().increment(key, -delta);
    }
    /**
     * 删除缓存
     *
     * @param key 可以传一个值 或多个
     */
    @SuppressWarnings("unchecked")
    public void del(String... key) {
        if (key != null && key.length > 0) {
            if (key.length == 1) {
                redisTemplate.delete(key[0]);
            } else {
                redisTemplate.delete(CollectionUtils.arrayToList(key));
            }
        }
    }
    /**
     * 获取缓存
     *
     * @param key   redis的key
     * @param clazz value的class类型
     * @param <T>
     * @return value的实际对象
     */
    public <T> T get(String key, Class<T> clazz) {
        Object obj = key == null ? null : redisTemplate.opsForValue().get(key);
        if (!obj.getClass().isAssignableFrom(clazz)) {
            throw new ClassCastException("类转化异常");
        }
        return (T) obj;
    }
    /**
     * 获取泛型
     *
     * @param key 键
     * @return 值
     */
    public Object get(String key) {
        return key == null ? null : redisTemplate.opsForValue().get(key);
    }
}

5.编写redisService类

package com.service;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.stereotype.Service;
import com.util.RedisUtil;
@Service
public class RedisService {
    @Autowired
    @Qualifier("redisUtil")
    private RedisUtil redisUtil;
    public void setObj(String key, Object obj, long timeout) {
        redisUtil.set(key,obj,timeout);
    }
    public Object getObj(String key) {
        return redisUtil.get(key);
    }
}

6.编写controller类

package com.controller;
import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.UUID;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.stereotype.Controller;
import org.springframework.ui.ModelMap;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;
import com.service.RedisService;
import com.service.UserService;
import lombok.extern.slf4j.Slf4j;
@Slf4j
@Controller
public class HelloWorldController {
    @Autowired
    private RedisService redisService;
    @RequestMapping("/user")
    @ResponseBody
    public Map<String,Object> findUserById() {
     Object temp =  redisService.getObj("temp" + "01");
        if (temp == null) {
         temp = userService.selectOne("8");
            redisService.setObj("temp" + "01", temp, 1000 * 60 * 2);
            return (Map<String,Object>)temp;
        }
        return (Map<String,Object>)temp;
    }
}

测试截图

springboot redis session 有效时间为1天 springboot配置redis持久化_spring

springboot redis session 有效时间为1天 springboot配置redis持久化_redis_02