Springboot-Redis

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1、SpringBoot 中 Redis 自动配置

image.png

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

自动配置：

  • RedisAutoConfiguration 自动配置类。RedisProperties 属性类 --> spring.redis
  • 连接工厂是准备好的。LettuceConnectionConfiguration、JedisConnectionConfiguration
  • 自动注入了 RedisTemplate<obj,obj>:xxxTemplate；
  • 自动注入了 StringRedisTemplate： key：value 都是 string
  • key:value
  • 底层只要我们使用了 StringRedisTemplate，RedisTemplate 就可以操作 redis

redis环境搭建 1、阿里云按量付费 redis。经典网络 2、申请 redis 公网连接地址 3、连接测试

2、RedisTemplate 与 Lettuce

@Autowired
StringRedisTemplate stringRedisTemplate;

@Test
void contextLoads() {
    ValueOperations<String, String> operations =
            stringRedisTemplate.opsForValue();
    operations.set("hello","world");
    String hello = operations.get("hello");
    System.out.println(hello);
}

3、url计数

新建拦截器

@Component
public class RedisUrlInterceptor implements HandlerInterceptor {

    @Autowired
    StringRedisTemplate redisTemplate;

    @Override
    public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {

        String uri = request.getRequestURI();
        //每次访问 uri +1
        redisTemplate.opsForValue().increment(uri);

        return true;
    }
}

添加拦截器

@Configuration
public class MyWebConfig implements WebMvcConfigurer {

    @Autowired
    RedisUrlInterceptor redisUrlInterceptor;
    @Override
    public void addInterceptors(InterceptorRegistry registry) {

        registry.addInterceptor(redisUrlInterceptor)
                .addPathPatterns("/**");
    }
}

总结： 1.依赖

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

<!--jedis-->
<dependency>
    <groupId>redis.clients</groupId>
    <artifactId>jedis</artifactId>
</dependency>

2.配置文件

# redis
spring.redis.host=localhost
spring.redis.port=6379
spring.redis.client-name=jedis

logging.level.com.code.service=debug

3.配置类

@Slf4j
@Configuration
@EnableCaching
@ConditionalOnClass(RedisOperations.class)
@EnableConfigurationProperties(RedisProperties.class)
public class RedisConfig extends CachingConfigurerSupport {

    @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
        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(Duration.ZERO)
                .entryTtl(Duration.ofSeconds(20))   //设置缓存失效时间
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();

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

    @Bean
    @ConditionalOnMissingBean(name = "redisTemplate")
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
        RedisTemplate<Object, Object> template = new RedisTemplate<>();
        // set key serializer
        StringRedisSerializer serializer = new StringRedisSerializer();
        template.setKeySerializer(serializer);
        template.setHashKeySerializer(serializer);

        GenericJackson2JsonRedisSerializer jsonRedisSerializer =  new GenericJackson2JsonRedisSerializer();
        template.setValueSerializer(jsonRedisSerializer);
        template.setHashValueSerializer(jsonRedisSerializer);
        template.setDefaultSerializer(jsonRedisSerializer);

        template.setConnectionFactory(connectionFactory);
        template.afterPropertiesSet();
        return template;
    }




}

4.缓存方法

package com.code.config.redis;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;

import java.util.ArrayList;
import java.util.Collection;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@SuppressWarnings(value = {"unchecked", "rawtypes"})
@Component
public class RedisCacheService {

    /**
     * 注入 redis 模板
     */
    @Autowired
    public RedisTemplate redisTemplate;

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key   缓存的键值
     * @param value 缓存的值
     * @return 缓存的对象
     */
    public <T> ValueOperations<String, T> setCacheObject(String key, T value) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        operation.set(key, value);
        return operation;
    }

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key      缓存的键值
     * @param value    缓存的值
     * @param timeout  时间
     * @param timeUnit 时间颗粒度
     * @return 缓存的对象
     */
    public <T> ValueOperations<String, T> setCacheObject(String key, T value, Integer timeout, TimeUnit timeUnit) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        operation.set(key, value, timeout, timeUnit);
        return operation;
    }

    /**
     * 获得缓存的基本对象。
     *
     * @param key 缓存键值
     * @return 缓存键值对应的数据
     */
    public <T> T getCacheObject(String key) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    /**
     * 删除单个对象
     *
     * @param key
     */
    public void deleteObject(String key) {
        redisTemplate.delete(key);
    }

    /**
     * 删除集合对象
     *
     * @param collection
     */
    public void deleteObject(Collection collection) {
        redisTemplate.delete(collection);
    }

    /**
     * 缓存List数据
     *
     * @param key      缓存的键值
     * @param dataList 待缓存的List数据
     * @return 缓存的对象
     */
    public <T> ListOperations<String, T> setCacheList(String key, List<T> dataList) {
        ListOperations listOperation = redisTemplate.opsForList();
        if (null != dataList) {
            int size = dataList.size();
            for (int i = 0; i < size; i++) {
                listOperation.leftPush(key, dataList.get(i));
            }
        }
        return listOperation;
    }

    /**
     * 获得缓存的list对象
     *
     * @param key 缓存的键值
     * @return 缓存键值对应的数据
     */
    public <T> List<T> getCacheList(String key) {
        List<T> dataList = new ArrayList<>();
        ListOperations<String, T> listOperation = redisTemplate.opsForList();
        Long size = listOperation.size(key);

        for (int i = 0; i < size; i++) {
            dataList.add(listOperation.index(key, i));
        }
        return dataList;
    }

    /**
     * 缓存Set
     *
     * @param key     缓存键值
     * @param dataSet 缓存的数据
     * @return 缓存数据的对象
     */
    public <T> BoundSetOperations<String, T> setCacheSet(String key, Set<T> dataSet) {
        BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
        Iterator<T> it = dataSet.iterator();
        while (it.hasNext()) {
            setOperation.add(it.next());
        }
        return setOperation;
    }

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public <T> Set<T> getCacheSet(String key) {
        Set<T> dataSet = new HashSet<>();
        BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key);
        Long size = operation.size();
        for (int i = 0; i < size; i++) {
            dataSet.add(operation.pop());
        }
        return dataSet;
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     * @return
     */
    public <T> HashOperations<String, String, T> setCacheMap(String key, Map<String, T> dataMap) {
        HashOperations hashOperations = redisTemplate.opsForHash();
        if (null != dataMap) {
            for (Map.Entry<String, T> entry : dataMap.entrySet()) {
                hashOperations.put(key, entry.getKey(), entry.getValue());
            }
        }
        return hashOperations;
    }

    /**
     * 获得缓存的Map
     *
     * @param key
     * @return
     */
    public <T> Map<String, T> getCacheMap(String key) {
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * 获得缓存的基本对象列表
     *
     * @param pattern 字符串前缀
     * @return 对象列表
     */
    public Collection<String> keys(String pattern) {
        return redisTemplate.keys(pattern);
    }


    /**
     * 返回RedisTemplate
     *
     * @return RedisTemplate
     */
    public RedisTemplate getRedisTemplate() {
        return redisTemplate;
    }

    public boolean hasKey(String key){
        return redisTemplate.hasKey(key);
    }
}

6.查询数据

image.png

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