springboot2整合redis的两种使用方式

使用RedisTemplate

1. 添加gradle依赖

dependencies {
    implementation 'org.springframework.boot:spring-boot-starter-jdbc'
    implementation 'org.springframework.boot:spring-boot-starter-data-redis'
    implementation 'org.springframework.boot:spring-boot-starter-thymeleaf'
    implementation 'org.springframework.boot:spring-boot-starter-web'
    implementation 'org.mybatis.spring.boot:mybatis-spring-boot-starter:2.1.3'
    //lettuce依赖commons-pool2
    compile group: 'org.apache.commons', name: 'commons-pool2', version: '2.6.2'
    runtimeOnly 'mysql:mysql-connector-java'
    compileOnly 'org.projectlombok:lombok'
    annotationProcessor 'org.projectlombok:lombok'
    testImplementation('org.springframework.boot:spring-boot-starter-test') {
        exclude group: 'org.junit.vintage', module: 'junit-vintage-engine'
    }
    compile('org.springframework.boot:spring-boot-starter-cache')
}

2. application.properties 添加redis连接信息

spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
spring.datasource.url=jdbc:mysql://localhost:3306/mytest?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=GMT%2B8
spring.datasource.username=root
spring.datasource.password=123456

server.port=8945

#redis数据库默认使用db0
spring.redis.database=2
spring.redis.password=
spring.redis.port=6379
spring.redis.host=127.0.0.1
# 连接超时时间
spring.redis.timeout=5s
# 连接池最大连接数（使用负值表示没有限制）
spring.redis.lettuce.pool.max-active=8
# 连接池中的最小空闲连接
spring.redis.lettuce.pool.min-idle=0
# 连接池中的最大空闲连接
spring.redis.lettuce.pool.max-idle=8
# 连接池最大阻塞等待时间（使用负值表示没有限制）
spring.redis.lettuce.pool.max-wait=-1
#在关闭客户端连接之前等待任务处理完成的最长时间，在这之后，无论任务是否执行完成，都会被执行器关闭，默认100ms
spring.redis.lettuce.shutdown-timeout=100ms
#缓存保存时间（单位：秒）
spring.cache.redis.time-to-live=1800
#是否缓存空值
spring.cache.redis.cache-null-values=false

3. 编写配置类

package org.example.base.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

/**
 * @author l
 * @date Created in 2020/11/3 10:51
 */
@Configuration
//@EnableCaching
public class RedisConfig {


    @Bean
    public RedisTemplate<String, Object> restTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(redisConnectionFactory);
        //使用Jackson2JsonRedisSerializer替换默认的JdkSerializationRedisSerializer来序列化和反序列化redis的value值
        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,
                ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        jackson2JsonRedisSerializer.setObjectMapper(mapper);
        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        //key采用String的序列化方式
        template.setKeySerializer(stringRedisSerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(stringRedisSerializer);
        // value序列化方式采用jackson
        template.setValueSerializer(jackson2JsonRedisSerializer);
        // hash的value序列化方式采用jackson
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }


}

4. 测试

    @Autowired
    private RedisTemplate<String, Object> redisTemplate;
    
    @Test
    public void test4() {
        //值类型操作
        User user = new User(231, "l", 12);
        ValueOperations<String, Object> valueOperations = redisTemplate.opsForValue();
        valueOperations.set(user.getId() + "", user, Duration.ofSeconds(1000));
        User user1 = (User) valueOperations.get(user.getId() + "");
        System.out.println(user1);
        //集合set类型操作
        SetOperations<String, Object> setOperations = redisTemplate.opsForSet();
        setOperations.add("keys","盖伦","卡特琳娜","崔丝塔娜","德莱厄斯");
        redisTemplate.expire("keys",Duration.ofSeconds(1000));
        Set<Object> members = setOperations.members("keys");
        System.out.println(members);
        System.out.println(redisTemplate.boundSetOps("keys").members());
        //集合zset类型操作
        ZSetOperations<String, Object> zSetOperations = redisTemplate.opsForZSet();
        zSetOperations.add("zkeys","赵信",1.3);
        zSetOperations.add("zkeys","孙悟空",1.6);
        redisTemplate.expire("keys",Duration.ofSeconds(1000));
        System.out.println(zSetOperations.range("zkeys",0,-1));
        System.out.println(redisTemplate.boundZSetOps("zkeys").range(0,-1));
        //集合hash类型操作
        redisTemplate.boundHashOps("坦克").put("1","墨菲特");
        redisTemplate.boundHashOps("坦克").put("2","茂凯");
        redisTemplate.boundHashOps("坦克").put("3","奥恩");
        redisTemplate.expire("坦克",Duration.ofSeconds(1000));
        System.out.println(redisTemplate.boundHashOps("坦克").keys());
        System.out.println(redisTemplate.boundHashOps("坦克").values());
        //集合list类型操作
        redisTemplate.boundListOps("法师").rightPush("艾克");
        redisTemplate.boundListOps("法师").rightPush("奥莉安娜");
        redisTemplate.boundListOps("法师").leftPush("维迦");
        redisTemplate.boundListOps("法师").leftPush("维迦","卡萨丁");
        redisTemplate.boundListOps("法师").expire(Duration.ofSeconds(20L));
        System.out.println(redisTemplate.boundListOps("法师").range(0,100));


    }

5. 结果

6. RedisTemplate常用工具类

package com.example.util;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;

import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;


@Component
public class RedisUtil {

    private final RedisTemplate<String, Object> redisTemplate;

    @Autowired
    public RedisUtil(RedisTemplate<String, Object> redisTemplate) {
        this.redisTemplate = redisTemplate;
    }

    /**
     * 指定缓存失效时间
     *
     * @param key  键
     * @param time 时间(秒)
     */
    public void expire(String key, long time) {
        try {
            if (time > 0) {
                redisTemplate.expire(key, time, TimeUnit.SECONDS);
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    /**
     * 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
     */
    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 hasKey(String key) {
        try {
            return redisTemplate.hasKey(key);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 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));
            }
        }
    }

    //============================String=============================

    /**
     * 普通缓存获取
     *
     * @param key 键
     * @return 值
     */
    public Object get(String key) {
        return redisTemplate.opsForValue().get(key);
    }

    /**
     * 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) {
            e.printStackTrace();
            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) {
            e.printStackTrace();
            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);
    }

    //================================Map=================================

    /**
     * HashGet
     *
     * @param key  键 不能为null
     * @param item 项 不能为null
     * @return 值
     */
    public Object hget(String key, String item) {
        return redisTemplate.opsForHash().get(key, item);
    }

    /**
     * 获取hashKey对应的所有键值
     *
     * @param key 键
     * @return 对应的多个键值
     */
    public Map<Object, Object> hmget(String key) {
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * HashSet
     *
     * @param key 键
     * @param map 对应多个键值
     * @return true 成功 false 失败
     */
    public boolean hmset(String key, Map<String, Object> map) {
        try {
            redisTemplate.opsForHash().putAll(key, map);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * HashSet 并设置时间
     *
     * @param key  键
     * @param map  对应多个键值
     * @param time 时间(秒)
     * @return true成功 false失败
     */
    public boolean hmset(String key, Map<String, Object> map, long time) {
        try {
            redisTemplate.opsForHash().putAll(key, map);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 向一张hash表中放入数据,如果不存在将创建
     *
     * @param key   键
     * @param item  项
     * @param value 值
     * @return true 成功 false失败
     */
    public boolean hset(String key, String item, Object value) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 向一张hash表中放入数据,如果不存在将创建
     *
     * @param key   键
     * @param item  项
     * @param value 值
     * @param time  时间(秒)  注意:如果已存在的hash表有时间,这里将会替换原有的时间
     * @return true 成功 false失败
     */
    public boolean hset(String key, String item, Object value, long time) {
        try {
            redisTemplate.opsForHash().put(key, item, value);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 删除hash表中的值
     *
     * @param key  键 不能为null
     * @param item 项 可以使多个 不能为null
     */
    public void hdel(String key, Object... item) {
        redisTemplate.opsForHash().delete(key, item);
    }

    /**
     * 判断hash表中是否有该项的值
     *
     * @param key  键 不能为null
     * @param item 项 不能为null
     * @return true 存在 false不存在
     */
    public boolean hHasKey(String key, String item) {
        return redisTemplate.opsForHash().hasKey(key, item);
    }

    /**
     * hash递增 如果不存在,就会创建一个 并把新增后的值返回
     *
     * @param key  键
     * @param item 项
     * @param by   要增加几(大于0)
     * @return
     */
    public double hincr(String key, String item, double by) {
        return redisTemplate.opsForHash().increment(key, item, by);
    }

    /**
     * hash递减
     *
     * @param key  键
     * @param item 项
     * @param by   要减少记(小于0)
     * @return
     */
    public double hdecr(String key, String item, double by) {
        return redisTemplate.opsForHash().increment(key, item, -by);
    }

    //============================set=============================

    /**
     * 根据key获取Set中的所有值
     *
     * @param key 键
     * @return
     */
    public Set<Object> sGet(String key) {
        try {
            return redisTemplate.opsForSet().members(key);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    /**
     * 根据value从一个set中查询,是否存在
     *
     * @param key   键
     * @param value 值
     * @return true 存在 false不存在
     */
    public boolean sHasKey(String key, Object value) {
        try {
            return redisTemplate.opsForSet().isMember(key, value);
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将数据放入set缓存
     *
     * @param key    键
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSet(String key, Object... values) {
        try {
            return redisTemplate.opsForSet().add(key, values);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 将set数据放入缓存
     *
     * @param key    键
     * @param time   时间(秒)
     * @param values 值 可以是多个
     * @return 成功个数
     */
    public long sSetAndTime(String key, long time, Object... values) {
        try {
            Long count = redisTemplate.opsForSet().add(key, values);
            if (time > 0) {
                expire(key, time);
            }
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 获取set缓存的长度
     *
     * @param key 键
     * @return
     */
    public long sGetSetSize(String key) {
        try {
            return redisTemplate.opsForSet().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 移除值为value的
     *
     * @param key    键
     * @param values 值 可以是多个
     * @return 移除的个数
     */
    public long setRemove(String key, Object... values) {
        try {
            Long count = redisTemplate.opsForSet().remove(key, values);
            return count;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }
    //===============================list=================================

    /**
     * 获取list缓存的内容
     *
     * @param key   键
     * @param start 开始
     * @param end   结束  0 到 -1代表所有值
     * @return
     */
    public List<Object> lGet(String key, long start, long end) {
        try {
            return redisTemplate.opsForList().range(key, start, end);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    /**
     * 获取list缓存的长度
     *
     * @param key 键
     * @return
     */
    public long lGetListSize(String key) {
        try {
            return redisTemplate.opsForList().size(key);
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

    /**
     * 通过索引 获取list中的值
     *
     * @param key   键
     * @param index 索引  index>=0时， 0 表头，1 第二个元素，依次类推；index<0时，-1，表尾，-2倒数第二个元素，依次类推
     * @return
     */
    public Object lGetIndex(String key, long index) {
        try {
            return redisTemplate.opsForList().index(key, index);
        } catch (Exception e) {
            e.printStackTrace();
            return null;
        }
    }

    /**
     * 将list放入缓存
     *
     * @param key   键
     * @param value 值
     * @return
     */
    public boolean lSet(String key, Object value) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将list放入缓存
     *
     * @param key   键
     * @param value 值
     * @param time  时间(秒)
     * @return
     */
    public boolean lSet(String key, Object value, long time) {
        try {
            redisTemplate.opsForList().rightPush(key, value);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将list放入缓存
     *
     * @param key   键
     * @param value 值
     * @return
     */
    public boolean lSet(String key, List<Object> value) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 将list放入缓存
     *
     * @param key   键
     * @param value 值
     * @param time  时间(秒)
     * @return
     */
    public boolean lSet(String key, List<Object> value, long time) {
        try {
            redisTemplate.opsForList().rightPushAll(key, value);
            if (time > 0) {
                expire(key, time);
            }
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 根据索引修改list中的某条数据
     *
     * @param key   键
     * @param index 索引
     * @param value 值
     * @return
     */
    public boolean lUpdateIndex(String key, long index, Object value) {
        try {
            redisTemplate.opsForList().set(key, index, value);
            return true;
        } catch (Exception e) {
            e.printStackTrace();
            return false;
        }
    }

    /**
     * 移除N个值为value
     *
     * @param key   键
     * @param count 移除多少个
     * @param value 值
     * @return 移除的个数
     */
    public long lRemove(String key, long count, Object value) {
        try {
            Long remove = redisTemplate.opsForList().remove(key, count, value);
            return remove;
        } catch (Exception e) {
            e.printStackTrace();
            return 0;
        }
    }

}

使用Spring cache 注解

1. 添加gradle依赖（同上）
2. application.properties 添加redis连接信息（同上）
3. 编写配置类

package org.example.base.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
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.Primary;
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.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 java.time.Duration;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;

/**
 * @author l
 * @date Created in 2020/11/3 10:51
 */
@Configuration
@EnableCaching
public class RedisConfig {

    Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);

    @Bean
    public RedisTemplate<String, Object> restTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(redisConnectionFactory);
        //使用Jackson2JsonRedisSerializer替换默认的JdkSerializationRedisSerializer来序列化和反序列化redis的value值
        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,
                ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        jackson2JsonRedisSerializer.setObjectMapper(mapper);
        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        //key采用String的序列化方式
        template.setKeySerializer(stringRedisSerializer);
        // hash的key也采用String的序列化方式
        template.setHashKeySerializer(stringRedisSerializer);
        // value序列化方式采用jackson
        template.setValueSerializer(jackson2JsonRedisSerializer);
        // hash的value序列化方式采用jackson
        template.setHashValueSerializer(jackson2JsonRedisSerializer);
        template.afterPropertiesSet();
        return template;
    }


    @Bean("redisCacheManager")
    @Primary
    public CacheManager cacheManager(RedisConnectionFactory factory) {
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();


        //解决查询缓存转换异常的问题
        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,
                ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        jackson2JsonRedisSerializer.setObjectMapper(mapper);

        // 配置1 ,
        RedisCacheConfiguration config1 = RedisCacheConfiguration.defaultCacheConfig()
                //缓存失效时间
                .entryTtl(Duration.ofSeconds(36000))
                //key序列化方式
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                //value序列化方式
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                //不允许缓存null值
                .disableCachingNullValues();
        //配置2 ,
        RedisCacheConfiguration config2 = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofMinutes(1000))
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();


        //设置一个初始化的缓存空间set集合
        Set<String> cacheNames = new HashSet<>();
        cacheNames.add("my-redis-cache1");
        cacheNames.add("my-redis-cache2");


        //对每个缓存空间应用不同的配置
        Map<String, RedisCacheConfiguration> configurationMap = new HashMap<>(3);
        configurationMap.put("my-redis-cache1", config1);
        configurationMap.put("my-redis-cache2", config2);

        return RedisCacheManager.builder(factory)
                //默认缓存配置
                .cacheDefaults(config1)
                //初始化缓存空间
                .initialCacheNames(cacheNames)
                //初始化缓存配置
                .withInitialCacheConfigurations(configurationMap).build();


    }


}

4. 编写service层

package org.example.base.service.impl;

import org.example.base.bean.Animal;
import org.example.base.service.AnimalService;
import org.springframework.cache.annotation.CacheConfig;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.CachePut;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;

/**
 * @author l
 * @date Created in 2020/11/4 17:33
 */
@Service
@CacheConfig(cacheNames = "my-redis-cache1", cacheManager = "redisCacheManager")
public class AnimalServiceImpl implements AnimalService {


    @Override
    @Cacheable(key = "#id",sync = true)
    public Animal getAnimal(Integer id) {
        System.out.println("操作数据库，返回Animal");
        return new Animal(110, "cat", "fish");
    }


    /**
     * 使用@CachePut注解的方法，一定要有返回值，该注解声明的方法缓存的是方法的返回结果。
     * it always causes the
     * method to be invoked and its result to be stored in the associated cache
     **/
    @Override
    @CachePut(key = "#animal.getId()")
    public Animal setAnimal(Animal animal) {
        System.out.println("存入数据库");
        return animal;
    }

    @Override
    @CacheEvict(key = "#id")
    public void deleteAnimal(Integer id) {
        System.out.println("删除数据库中animal");
    }

    @Override
    @CachePut(key = "#animal.getId()")
    public Animal updateAnimal(Animal animal) {
        System.out.println("修改animal,并存入数据库");
        return animal;
    }


}

5. 测试

    @Autowired
    AnimalService animalService;

    @Test
    public void test5() {
        Animal animal = new Animal(120, "dog", "bone");
        animalService.setAnimal(animal);
        System.out.println(animalService.getAnimal(120));
        animalService.updateAnimal(new Animal(120, "dog", "meat"));
        System.out.println(animalService.getAnimal(120));
        animalService.deleteAnimal(120);
        System.out.println(animalService.getAnimal(120));

    }

6. 结果

本文地址：https://blog.csdn.net/qq_41921994/article/details/109493908