springboot整合redis操作缓存(将查询到的数据放在缓存中)

1.依赖和配置:

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

RedisConfig:

package com.english.english_vision.config;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.MapperFeature;
import com.fasterxml.jackson.databind.SerializationFeature;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.data.redis.cache.RedisCacheManager;
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.CachingConfigurerSupport;
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.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.*;
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;


@EnableCaching
@Configuration
public class RedisConfig extends CachingConfigurerSupport {
    
    
    private Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer() {
    
    
        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer =
                new Jackson2JsonRedisSerializer<>(Object.class);
        ObjectMapper objectMapper = new ObjectMapper();
        objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        objectMapper.configure(MapperFeature.USE_ANNOTATIONS, false);
        objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
        objectMapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false);
        // 此项必须配置,否则会报java.lang.ClassCastException: java.util.LinkedHashMap cannot be cast to XXX
        objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        objectMapper.setSerializationInclusion(JsonInclude.Include.NON_NULL);
        jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
        return jackson2JsonRedisSerializer;
    }
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
    
    
        RedisTemplate<String, Object> template = new RedisTemplate<>();
        // 配置连接工厂
        template.setConnectionFactory(factory);

        //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
        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, JsonTypeInfo.As.PROPERTY);
        jacksonSeial.setObjectMapper(om);

        // 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
    public RedisCacheManager 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);

        jackson2JsonRedisSerializer.setObjectMapper(om);

        //配置序列化(解决乱码的问题)
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofDays(30))
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();

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

    @Bean
    public HashOperations<String, String, Object> hashOperations(RedisTemplate<String, Object> redisTemplate) {
    
    
        return redisTemplate.opsForHash();
    }

    /**
     * 对redis字符串类型数据操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public ValueOperations<String, Object> valueOperations(RedisTemplate<String, Object> redisTemplate) {
    
    

        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<Object>(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        redisTemplate.setKeySerializer(jackson2JsonRedisSerializer);
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.setHashKeySerializer(jackson2JsonRedisSerializer);
        redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.afterPropertiesSet();




        return redisTemplate.opsForValue();
    }

    /**
     * 对链表类型的数据操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public ListOperations<String, Object> listOperations(RedisTemplate<String, Object> redisTemplate) {
    
    
        return redisTemplate.opsForList();
    }

    /**
     * 对无序集合类型的数据操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public SetOperations<String, Object> setOperations(RedisTemplate<String, Object> redisTemplate) {
    
    
        return redisTemplate.opsForSet();
    }

    /**
     * 对有序集合类型的数据操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public ZSetOperations<String, Object> zSetOperations(RedisTemplate<String, Object> redisTemplate) {
    
    
        return redisTemplate.opsForZSet();
    }

    @Bean("myGenerator")
    public KeyGenerator keyGenerator()
    {
    
    
        return new KeyGenerator() {
    
    
            @Override
            public Object generate(Object target, Method method, Object... objects) {
    
    
                StringBuilder sb = new StringBuilder();
                sb.append(target.getClass().getName());
                sb.append(method.getName());
                for(Object obj:objects)
                    sb.append(obj.toString());
                return sb.toString();


            }

        };
    }
}

2.操作数据库(查询缓存):

service:

public interface ISongService extends IService<Song> {
    
    
    List<Song> listbyName(String name);

}

@Service
public class SongServiceImpl extends ServiceImpl<SongMapper, Song> implements ISongService {
    
    
    @Autowired
    private RedisService redisService;
    @Autowired
    private SongMapper songMapper;
    @Autowired
    private RedisTemplate redisTemplate;
 @Override
    public List<Song> listbyName(String name) {
    
    
        List<Song> songs = null;
        String key = "songlist:"+name ;
        ValueOperations<String, List<Song>> operations = redisTemplate.opsForValue();

        //判断redis中是否有键为key的缓存
        boolean hasKey = redisTemplate.hasKey(key);
        if(hasKey) {
    
    
            songs = operations.get(key);
            return songs;
        }
        else {
    
    
songs = songMapper.listbyName(name);
operations.set(key,songs,3, TimeUnit.HOURS);
        }
        System.out.println("mapper查询");
        return songMapper.listbyName(name);
    }

}

controller:

    @ApiOperation(value="查询歌曲")
    @RequestMapping(value = "/query", method = RequestMethod.POST)
    public ResponseResult querySong(
            @ApiParam(name="name",value="歌名",required=true)
            @RequestParam("name")String name)
    {
    
    

      //  List<Song> songs = songService.listbyName(new LambdaQueryWrapper<Song>().eq(Song::getName,name));
        List<Song> songs = songService.listbyName(name);
        if(songs == null) return ResponseResult.error(ResponseEnum.DIARY_NOT_EXIST);
        List<SongVo> songVos = songs.stream().map(e->{
    
    
            SongVo songVo = new SongVo();
            BeanUtils.copyBeanProp(songVo,e);
            return songVo;
        }).collect(Collectors.toList());
        int numbers = songVos.size();
                PageResult pageResult = new PageResult<>(songVos,numbers);
        return ResponseResult.success(pageResult);
    }

mapper

    <select id="listbyName" resultType="com.english.english_vision.pojo.Song">
        select * from t_song where name like "%"#{
    
    name}"%"
    </select>

3.结果:

在这里插入图片描述
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多次发起请求只打印了一次sql,可以说明后面几次是从缓存中取出的
查看redis数据库:
在这里插入图片描述

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转载自blog.csdn.net/qq_41358574/article/details/120691998