SpringBoot中实现连接多个Redis分别读写数据

在SpringBoot项目中需要连接两个Redis实例，并实现从A中获取数据并存取到B中。

另外A中redis的地址和密码不能外漏，则将A的地址和密码写在jar包中，B中redis参数可以在外置

配置文件application.yml中进行动态配置。

注：

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1、新建SpringBoot项目并添加依赖

​
        
            redis.clients
            jedis
            3.3.0
        

        
            org.springframework.data
            spring-data-redis
            2.3.6.RELEASE
        

        
        
            com.alibaba
            fastjson
            1.2.75
        

​

2、完整的pom文件代码

​


    4.0.0
    
        org.springframework.boot
        spring-boot-starter-parent
        2.3.7.RELEASE
         
    
    com.example
    demo
    0.0.1-SNAPSHOT
    demo
    Demo project for Spring Boot
    
        1.8
    
    
        
            org.springframework.boot
            spring-boot-starter-web
        

        
            org.springframework.boot
            spring-boot-starter-test
            test
        
        
            redis.clients
            jedis
            3.3.0
        

        
            org.springframework.data
            spring-data-redis
            2.3.6.RELEASE
        

        
        
            com.alibaba
            fastjson
            1.2.75
        
    

    
        
            
                org.springframework.boot
                spring-boot-maven-plugin
            
        
    



​

3、在配置文件application.properties中配置B的redis的参数

server.port=9090
spring.redis.user.host=另一个redis的地址
spring.redis.user.port=6379
spring.redis.user.password=123456

4、新建Redis的配置类

package com.example.demo.config;

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;
import org.springframework.beans.factory.annotation.Value;
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.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;

@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {

    //order
    @Value("127.0.0.1")
    private String orderHost;

    @Value("6379")
    private String orderPort;

    @Value("123456")
    private String orderPassword;


    //user
    @Value("${spring.redis.user.host}")
    private String userHost;

    @Value("${spring.redis.user.port}")
    private String userPort;

    @Value("${spring.redis.user.password}")
    private String userPassword;

    private static final int MAX_IDLE = 200; //最大空闲连接数
    private static final int MAX_TOTAL = 1024; //最大连接数
    private static final long MAX_WAIT_MILLIS = 10000; //建立连接最长等待时间


    //配置工厂
    public RedisConnectionFactory connectionFactory(String host, int port, String password,int index) {
        RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration();
        redisStandaloneConfiguration.setHostName(host);
        redisStandaloneConfiguration.setPort(port);
        redisStandaloneConfiguration.setPassword(password);
        redisStandaloneConfiguration.setDatabase(index);
        return new JedisConnectionFactory(redisStandaloneConfiguration);
    }

    //连接池配置
    public JedisPoolConfig poolConfig(int maxIdle, int maxTotal, long maxWaitMillis, boolean testOnBorrow) {
        JedisPoolConfig poolConfig = new JedisPoolConfig();
        poolConfig.setMaxIdle(maxIdle);
        poolConfig.setMaxTotal(maxTotal);
        poolConfig.setMaxWaitMillis(maxWaitMillis);
        poolConfig.setTestonBorrow(testOnBorrow);
        return poolConfig;
    }

    @Bean("redisTemplateOrder")
    public RedisTemplate redisTemplateOrder(RedisConnectionFactory connectionFactory) {
        RedisTemplate template = new RedisTemplate<>();
        template.setConnectionFactory(connectionFactory(orderHost, Integer.parseInt(orderPort),orderPassword,0));

        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);

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

    @Bean("redisTemplateUser")
    public RedisTemplate redisTemplateUser(RedisConnectionFactory connectionFactory) {
        RedisTemplate template = new RedisTemplate<>();
        template.setConnectionFactory(connectionFactory(userHost, Integer.parseInt(userPort),userPassword,0));

        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);

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

注意：

这里连接的是两个Redis，其中A的Redis命名为order,其参数直接在注解中固定赋值。

B的Redis命名为user,参数从配置文件中获取。

这其中又用到了FastJson进行序列化的工具类FastJson2JsonRedisSerializer

package com.example.demo.config;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.parser.ParserConfig;
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 org.springframework.util.Assert;

import java.nio.charset.Charset;

public class FastJson2JsonRedisSerializer implements RedisSerializer
{
    @SuppressWarnings("unused")
    private ObjectMapper objectMapper = new ObjectMapper();

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

    private Class clazz;

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

    public FastJson2JsonRedisSerializer(Class 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);
    }
}

5、分别新建两个Redis进行读取操作的service类

RedisServiceOrder:

package com.example.demo;

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;

import javax.annotation.Resource;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;

@Component
public class RedisServiceOrder
{
    @Resource(name = "redisTemplateOrder")
    public RedisTemplate redisTemplate;

    
    public  void setCacheObject(final String key, final T value)
    {
        redisTemplate.opsForValue().set(key, value);
    }

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

    
    public boolean expire(final String key, final long timeout)
    {
        return expire(key, timeout, TimeUnit.SECONDS);
    }

    
    public boolean expire(final String key, final long timeout, final TimeUnit unit)
    {
        return redisTemplate.expire(key, timeout, unit);
    }

    
    public  T getCacheObject(final String key)
    {
        ValueOperations operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    
    public boolean deleteObject(final String key)
    {
        return redisTemplate.delete(key);
    }

    
    public long deleteObject(final Collection collection)
    {
        return redisTemplate.delete(collection);
    }

    
    public  long setCacheList(final String key, final List dataList)
    {
        Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
        return count == null ? 0 : count;
    }

    
    public  List getCacheList(final String key)
    {
        return redisTemplate.opsForList().range(key, 0, -1);
    }

    
    public  long setCacheSet(final String key, final Set dataSet)
    {
        Long count = redisTemplate.opsForSet().add(key, dataSet);
        return count == null ? 0 : count;
    }

    
    public  Set getCacheSet(final String key)
    {
        return redisTemplate.opsForSet().members(key);
    }

    
    public  void setCacheMap(final String key, final Map dataMap)
    {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
        }
    }

    
    public  Map getCacheMap(final String key)
    {
        return redisTemplate.opsForHash().entries(key);
    }

    
    public  void setCacheMapValue(final String key, final String hKey, final T value)
    {
        redisTemplate.opsForHash().put(key, hKey, value);
    }

    
    public  T getCacheMapValue(final String key, final String hKey)
    {
        HashOperations opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(key, hKey);
    }

    
    public  List getMultiCacheMapValue(final String key, final Collection