redis缓存

引入依赖
<!-- redis -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

<!-- spring2.X集成redis所需common-pool2-->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
<version>2.6.0</version>
</dependency>

 

添加RedisConfig配置类

package com.atguigu.common.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
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.lang.reflect.Method;
import java.time.Duration;

@Configuration
@EnableCaching
public class RedisConfig {

    /**
     * 自定义key规则
     * @return
     */
    @Bean
    public KeyGenerator keyGenerator() {
        return new KeyGenerator() {
            @Override
            public Object generate(Object target, Method method, Object... params) {
                StringBuilder sb = new StringBuilder();
                sb.append(target.getClass().getName());
                sb.append(method.getName());
                for (Object obj : params) {
                    sb.append(obj.toString());
                }
                return sb.toString();
            }
        };
    }

    /**
     * 设置RedisTemplate规则
     * @param redisConnectionFactory
     * @return
     */
    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);

        //解决查询缓存转换异常的问题
        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
        om.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
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);

//序列号key value
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.setHashKeySerializer(new StringRedisSerializer());
        redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);

        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }

    /**
     * 设置CacheManager缓存规则
     * @param factory
     * @return
     */
    @Bean
    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),过期时间600秒
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofSeconds(600))
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();

        RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();
        return cacheManager;
    }
}

 

具体的服务应用中添加配置

spring.redis.host=192.168.44.165
spring.redis.port=6379
spring.redis.database= 0
spring.redis.timeout=1800000

spring.redis.lettuce.pool.max-active=20
spring.redis.lettuce.pool.max-wait=-1
#最大阻塞等待时间(负数表示没限制)
spring.redis.lettuce.pool.max-idle=5
spring.redis.lettuce.pool.min-idle=0

 

2.1 常用缓存标签

2.1.2 缓存@Cacheable

根据方法对其返回结果进行缓存,下次请求时,如果缓存存在,则直接读取缓存数据返回;如果缓存不存在,则执行方法,并把返回的结果存入缓存中。一般用在查询方法上。

查看源码,属性值如下:

 

属性/方法名

解释

value

缓存名,必填,它指定了你的缓存存放在哪块命名空间

cacheNames

与 value 差不多,二选一即可

key

可选属性,可以使用 SpEL 标签自定义缓存的key

2.1.2 缓存@CachePut

使用该注解标志的方法,每次都会执行,并将结果存入指定的缓存中。其他方法可以直接从响应的缓存中读取缓存数据,而不需要再去查询数据库。一般用在新增方法上。

查看源码,属性值如下:

属性/方法名

解释

value

缓存名,必填,它指定了你的缓存存放在哪块命名空间

cacheNames

与 value 差不多,二选一即可

key

可选属性,可以使用 SpEL 标签自定义缓存的key

2.1.3 缓存@CacheEvict

使用该注解标志的方法,会清空指定的缓存。一般用在更新或者删除方法上

查看源码,属性值如下:

属性/方法名

解释

value

缓存名,必填,它指定了你的缓存存放在哪块命名空间

cacheNames

与 value 差不多,二选一即可

key

可选属性,可以使用 SpEL 标签自定义缓存的key

allEntries

是否清空所有缓存,默认为 false。如果指定为 true,则方法调用后将立即清空所有的缓存

beforeInvocation

是否在方法执行前就清空,默认为 false。如果指定为 true,则在方法执行前就会清空缓存

 

 

实现类方法上添加注解

插入redis缓存:@Cacheable(value = "dict",keyGenerator = "keyGenerator")   //dict为key

删除redis缓存:@CacheEvict(value = "dict", allEntries=true)

 

@Override
    @Cacheable(value = "dict", keyGenerator = "keyGenerator")
    public List<Dict> findChildData(Integer id) {
        QueryWrapper<Dict> queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("parent_id",id);
        List<Dict> dicts = baseMapper.selectList(queryWrapper);
        List<Dict> collect = dicts.stream().map(s -> {
            s.setHasChildren(isHasChild(s.getId()));
            return s;
        }).collect(Collectors.toList());
        return collect;
    }

    //判断id下面是否有子id
    private boolean isHasChild(Long id){
        QueryWrapper<Dict> queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("parent_id",id);
        Long count = baseMapper.selectCount(queryWrapper);
        return count > 0;
    }

 

@Override
    @CacheEvict(value = "dict", allEntries=true)
    public void importDictData(MultipartFile file) {
        try {
            EasyExcel.read(file.getInputStream(), DictEeVo.class,new DictListener(dictMapper))
                    .sheet().doRead();
        } catch (IOException e) {
            throw new RuntimeException(e);
        }
    }

 

posted @ 2023-05-11 22:50  Mr_sven  阅读(21)  评论(0编辑  收藏  举报