How to use annotations to implement Redis caching function

Key and value storage system written in c language (different from MySQL's two-dimensional table storage.)

rdb: periodic persistence

aof: append in log form

RDB is turned on by default, and aof

data types are enabled: string, list, set, zset, hash,

bitMaps byte form storage, geospatial longitude and latitude type.. .

Single thread: Use multiple io multiplexing to achieve high concurrency

Usage:

Add dependencies

<!-- 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>

Create configuration class fixed writing method

package com.lzq.yygh.common;
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.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.net.UnknownHostException;
import java.time.Duration;
@Configuration
@EnableCaching  //开启缓存功能
public class RedisConfig {
/**
 * 设置RedisTemplate规则
 * @param redisConnectionFactory
 * @return
 */
@Bean
public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory)throws UnknownHostException {
    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
                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)) //缓存过期10分钟 ---- 业务需求。
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))//设置key的序列化方式
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer)) //设置value的序列化
                .disableCachingNullValues();
        RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();
        return cacheManager;
    }
}

Add configuration information

spring.redis.host=127.0.0.1
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

Use annotations to implement functions

Cache@ Cacheable

Cache the result returned by the method. On the next request, if the cache exists, the cached data will be read directly and returned; if the cache does not exist, the method will be executed and the returned result will be stored in the cache. middle. Generally used in query methods.

Cache@CachePut

Every time a method marked with this annotation is executed, the results will be stored in the specified cache. Data can be read directly from the response cache without having to access the database. Generally used to add new methods.

Cache@CacheEvict

The method using this annotation flag will clear the specified cache. Generally used in update or delete methods

Annotate the annotation in the returned serviceimpl. When the key is not set, the parameters will be automatically added as the key

@Cacheable(value = "dict", key = "'selectIndexList' #id")

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