一、 springCloud作为公共模块搭建框架

springCloud 微服务模块中将redis作为公共模块进行的搭建结构图，如下：

二、redis 公共模块的搭建框架

1. 如上架构，代码如下
2. pom.xml 关键代码：

    <dependencies>
		
        <!-- SpringBoot Boot Redis -->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis</artifactId>
            <version>2.5.1</version>
        </dependency>

        <dependency>
            <groupId>org.redisson</groupId>
            <artifactId>redisson-spring-boot-starter</artifactId>
            <version>3.15.0</version>
        </dependency>
   </dependencies>   

3. Redis使用FastJson序列化

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.serializer.SerializerFeature;
import com.fasterxml.jackson.databind.JavaType;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.type.TypeFactory;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException;
import com.alibaba.fastjson.parser.ParserConfig;
import org.springframework.util.Assert;
import java.nio.charset.Charset;

/**
 * Redis使用FastJson序列化
 */
public class FastJson2JsonRedisSerializer<T> implements RedisSerializer<T>
{
    @SuppressWarnings("unused")
    private ObjectMapper objectMapper = new ObjectMapper();

    public static final Charset DEFAULT_CHARSET = Charset.forName("UTF-8");

    private Class<T> clazz;

    static
    {
        ParserConfig.getGlobalInstance().setAutoTypeSupport(true);
    }

    public FastJson2JsonRedisSerializer(Class<T> clazz)
    {
        super();
        this.clazz = clazz;
    }

    @Override
    public byte[] serialize(T t) throws SerializationException
    {
        if (t == null)
        {
            return new byte[0];
        }
        return JSON.toJSONString(t, SerializerFeature.WriteClassName).getBytes(DEFAULT_CHARSET);
    }

    @Override
    public T deserialize(byte[] bytes) throws SerializationException
    {
        if (bytes == null || bytes.length <= 0)
        {
            return null;
        }
        String str = new String(bytes, DEFAULT_CHARSET);

        return JSON.parseObject(str, clazz);
    }

    public void setObjectMapper(ObjectMapper objectMapper)
    {
        Assert.notNull(objectMapper, "'objectMapper' must not be null");
        this.objectMapper = objectMapper;
    }

    protected JavaType getJavaType(Class<?> clazz)
    {
        return TypeFactory.defaultInstance().constructType(clazz);
    }
}

4. redis 配置类

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.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;
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;

/**
 * redis配置
 */
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport
{
    @Bean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory)
    {
        RedisTemplate<Object, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(connectionFactory);

        FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);

        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        serializer.setObjectMapper(mapper);

        // 使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(serializer);

        // Hash的key也采用StringRedisSerializer的序列化方式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(serializer);

        template.afterPropertiesSet();
        return template;
    }
}

5. 读取springcloud 服务模块中的yml中配置的redis代码实体
   yml中的配置一般如下：

spring:
 redis:
   host: IP地址
   port: 6379
   password: 密码

之前连接redis代码中发现直接把账号和密码都写入模块了（可能当时为了方便）
这个造成如果地址发生变化需要不停的修改极其繁琐，索性将配置写入yml中，通过实体加配置ConfigurationProperties读取yml公用这样方便使用，起到了真正简化易改的作用

@Configuration
@RefreshScope
@Data
@ConfigurationProperties(prefix = "spring.redis")   //切记此处一定要加spring否则容易读不出来
public class RedisConn {
    @ApiModelProperty(value = "账号")
    private String host;
    @ApiModelProperty(value = "端口")
    private int port;
    @ApiModelProperty(value = "密码")
    private String password;
}

6. redis 连接配置

import org.redisson.Redisson;
import org.redisson.api.RedissonClient;
import org.redisson.config.Config;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import javax.annotation.Resource;
import java.io.IOException;

@Configuration
public class RedssonConfig {

    @Bean
    @ConditionalOnMissingBean
    public RedisConn getRedisConn()
    {
        return new RedisConn();
    }
    @Primary
    @Bean
    public RedissonClient redissonClient() throws IOException {
        Config config = new Config();
        RedisConn redisConn = getRedisConn();
        //此处就是redis实体读取yml中的地址和端口，简单方便连接
        String url = "redis://"+redisConn.getHost()+":"+redisConn.getPort();
        System.out.println("url:"+url);
        config.useSingleServer().setAddress(url)
                .setPassword(redisConn.getPassword());
        RedissonClient redisson = Redisson.create(config);
        return redisson;
    }

    @Bean
    public RedissonClient shutdown(@Qualifier("redissonClient") RedissonClient redissonClient) {
        return redissonClient;
    }
}

7. 以上redis 就配置完了，后续我们可以写reids的模版的进行缓存的增加，删除等操作了，这个是个我写的小模块，大家可以根据自己的需求添加，方便后续其他的springcloud模块调用的方式

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

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.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;

/**
 * spring redis 工具类
 **/
@SuppressWarnings(value = { "unchecked", "rawtypes" })
@Component
public class RedisService
{
    @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
     */
    public <T> void setCacheObject(final String key, final T value)
    {
        redisTemplate.opsForValue().set(key, value);
    }

    /**
     * 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
     */
    public <T> void setCacheObject(final String key, final T value, final Long timeout, final TimeUnit timeUnit)
    {
        redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
    }

    /**
     * 设置有效时间
     *
     * @param key Redis键
     * @param timeout 超时时间
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout)
    {
        return expire(key, timeout, TimeUnit.SECONDS);
    }

    /**
     * 设置有效时间
     *
     * @param key Redis键
     * @param timeout 超时时间
     * @param unit 时间单位
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout, final TimeUnit unit)
    {
        return redisTemplate.expire(key, timeout, unit);
    }

    /**
     * 判断 key是否存在
     *
     * @param key 键
     * @return true 存在 false不存在
     */
    public Boolean hasKey(String key)
    {
        return redisTemplate.hasKey(key);
    }

    /**
     * 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(final String key)
    {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

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

    /**
     * 删除集合对象
     *
     * @param collection 多个对象
     * @return
     */
    public long deleteObject(final Collection collection)
    {
        return redisTemplate.delete(collection);
    }
}

8. 另外切记在spring.factories中进行注入哈

至此，这个redis的公共模块就完成了，大家可以直接在其他服务模块中将redis当成一个依赖添加到对应的服务的pom中即可如下：

   <dependency>
            <groupId>com.（包名）</groupId>
            <artifactId>common-redis</artifactId>
  </dependency>