Spring boot配置多个Redis数据源操作实例

Spring boot配置多个Redis数据源操作实例

在SpringBoot是项目中整合了两个Redis的操作实例,可以增加多个;
一般在一个微服务生态群中是不会出现多个Redis中间件的,所以这种场景很少见,但也不可避免,但是不建议使用,个人建议,勿喷。

  • 基于Maven3.0搭建,spring1.5.9.RELEASE和JDK1.8

1、新建SpringBoot项目,添加依赖

        
            org.springframework.boot
            spring-boot-starter-data-redis
        
        
            org.projectlombok
            lombok
        
        
            org.springframework.boot
            spring-boot-starter-test
            test
        

2、application.yml配置文件

spring:
  redis:
    database: 6   # Redis数据库索引(默认为0)
    host: redis.lilian.com  # Redis服务器地址
    port: 7481  # Redis服务器连接端口
    password:    # Redis服务器连接密码(默认为空)
    timeout: 0  # 连接超时时间(毫秒)
    pool:
      max-active: -1 # 连接池最大连接数(使用负值表示没有限制)
      max-wait: -1  # 连接池最大阻塞等待时间(使用负值表示没有限制)
      max-idle: 8  # 连接池中的最大空闲连接
      min-idle: 0  # 连接池中的最小空闲连接
  redis2:
    database: 6   # Redis数据库索引(默认为0)
    host: redis.lilian.com  # Redis服务器地址
    port: 7480  # Redis服务器连接端口
    password:    # Redis服务器连接密码(默认为空)
    timeout: 0  # 连接超时时间(毫秒)

3、新建RedisConfig类

package com.lilian.config;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;

import java.lang.reflect.Method;

/**
 * spring-boot-data-packing 设置Redis多实例的基类
 *
 * @Author 孙龙
 * @Date 2018/8/13
 */
@EnableCaching
@Configuration
public class RedisConfig {
    @Value("${spring.redis.pool.max-active}")
    private int redisPoolMaxActive;

    @Value("${spring.redis.pool.max-wait}")
    private int redisPoolMaxWait;

    @Value("${spring.redis.pool.max-idle}")
    private int redisPoolMaxIdle;

    @Value("${spring.redis.pool.min-idle}")
    private int redisPoolMinIdle;

    /**
     * 配置Key的生成方式
     *
     * @return
     */
    @Bean
    public KeyGenerator keyGenerator() {
        return new KeyGenerator() {
            @Override
            public Object generate(Object o, Method method, Object... objects) {
                StringBuilder stringBuilder = new StringBuilder();
                stringBuilder.append(o.getClass().getName())
                        .append(method.getName());
                for (Object object : objects) {
                    stringBuilder.append(object.toString());
                }
                return stringBuilder.toString();
            }
        };
    }

    /**
     * 创建redis连接工厂
     *
     * @param dbIndex
     * @param host
     * @param port
     * @param password
     * @param timeout
     * @return
     */
    public JedisConnectionFactory createJedisConnectionFactory(int dbIndex, String host, int port, String password, int timeout) {
        JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory();
        jedisConnectionFactory.setDatabase(dbIndex);
        jedisConnectionFactory.setHostName(host);
        jedisConnectionFactory.setPort(port);
        jedisConnectionFactory.setPassword(password);
        jedisConnectionFactory.setTimeout(timeout);
        jedisConnectionFactory.setPoolConfig(setPoolConfig(redisPoolMaxIdle, redisPoolMinIdle, redisPoolMaxActive, redisPoolMaxWait, true));
        return jedisConnectionFactory;

    }

    /**
     * 配置CacheManager
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public CacheManager cacheManager(RedisTemplate redisTemplate) {
        RedisCacheManager redisCacheManager = new RedisCacheManager(redisTemplate);
        return redisCacheManager;
    }

    /**
     * 设置连接池属性
     *
     * @param maxIdle
     * @param minIdle
     * @param maxActive
     * @param maxWait
     * @param testOnBorrow
     * @return
     */
    public JedisPoolConfig setPoolConfig(int maxIdle, int minIdle, int maxActive, int maxWait, boolean testOnBorrow) {
        JedisPoolConfig poolConfig = new JedisPoolConfig();
        poolConfig.setMaxIdle(maxIdle);
        poolConfig.setMinIdle(minIdle);
        poolConfig.setMaxTotal(maxActive);
        poolConfig.setMaxWaitMillis(maxWait);
        poolConfig.setTestOnBorrow(testOnBorrow);
        return poolConfig;
    }

    /**
     * 设置RedisTemplate的序列化方式
     *
     * @param redisTemplate
     */
    public void setSerializer(RedisTemplate redisTemplate) {
        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);
        //设置键(key)的序列化方式
        redisTemplate.setKeySerializer(new StringRedisSerializer());
        //设置值(value)的序列化方式
        redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
        redisTemplate.afterPropertiesSet();
    }
}

4、使用Java类注入多个数据源

  • 数据源一
package com.lilian.config;

import org.springframework.beans.factory.annotation.Value;
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;

/**
 * llld-parent 配置默认Redis操作实例 到Spring中
 *
 * @Author 孙龙
 * @Date 2018/8/2
 */
@Configuration
@EnableCaching
public class DefaultRedisConfig extends RedisConfig {


    @Value("${spring.redis.database}")
    private int dbIndex;

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

    @Value("${spring.redis.port}")
    private int port;

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

    @Value("${spring.redis.timeout}")
    private int timeout;

    /**
     * 配置redis连接工厂
     *
     * @return
     */
    @Bean
    public RedisConnectionFactory defaultRedisConnectionFactory() {
        return createJedisConnectionFactory(dbIndex, host, port, password, timeout);
    }

    /**
     * 配置redisTemplate 注入方式使用@Resource(name="") 方式注入
     *
     * @return
     */
    @Bean(name = "defaultRedisTemplate")
    public RedisTemplate defaultRedisTemplate() {
        RedisTemplate template = new RedisTemplate();
        template.setConnectionFactory(defaultRedisConnectionFactory());
        setSerializer(template);
        template.afterPropertiesSet();
        return template;
    }
}
  • 数据源二
package com.lilian.config;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;

/**
 * llld-parent 配置缓存Redis操作实例 到Spring中
 *
 * @Author 孙龙
 * @Date 2018/8/2
 */
@Configuration
@EnableCaching
public class CacheRedisConfig extends RedisConfig {


    @Value("${spring.redis2.database}")
    private int dbIndex;

    @Value("${spring.redis2.host}")
    private String host;

    @Value("${spring.redis2.port}")
    private int port;

    @Value("${spring.redis2.password}")
    private String password;

    @Value("${spring.redis2.timeout}")
    private int timeout;

    /**
     * 配置redis连接工厂
     *
     * @return
     */
    @Primary
    @Bean
    public RedisConnectionFactory cacheRedisConnectionFactory() {
        return createJedisConnectionFactory(dbIndex, host, port, password, timeout);
    }

    /**
     * 配置redisTemplate 注入方式使用@Resource(name="") 方式注入
     *
     * @return
     */
    @Bean(name = "cacheRedisTemplate")
    public RedisTemplate cacheRedisTemplate() {
        RedisTemplate template = new RedisTemplate();
        template.setConnectionFactory(cacheRedisConnectionFactory());
        setSerializer(template);
        template.afterPropertiesSet();
        return template;
    }

}
  • 数据源三同理。。。

5、随便定义一个实体类

package com.lilian.entity;

import lombok.AllArgsConstructor;
import lombok.Data;

/**
 * jpa-demo
 *
 * @Author 孙龙
 * @Date 2018/7/3
 */
@Data
@AllArgsConstructor
public class Person {

    /**
     * 姓名
     */
    private String name;
    /**
     * 年龄
     */
    private Integer age;
    /**
     * 地址
     */
    private String address;
    /**
     * 邮箱
     */
    private String email;
    /**
     * 手机号码
     */
    private String phoneNum;

}

6、测试方法

package com.lilian;

import com.lilian.entity.Person;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.test.context.junit4.SpringRunner;

import javax.annotation.Resource;

/**
 * spring-boot-data-packing
 *
 * @Author 孙龙
 * @Date 2018/8/13
 */
@RunWith(SpringRunner.class)
@SpringBootTest
public class MultiRedisTest {

    @Resource(name = "defaultRedisTemplate")
    private RedisTemplate redisTemplate;

    @Resource(name = "cacheRedisTemplate")
    private RedisTemplate redisTemplate1;

    @Test
    public void stringRedisTest() {

        redisTemplate.opsForValue().set("slzzzz", "111111");
        redisTemplate1.opsForValue().set("slzzzz", "222222");

    }

    @Test
    public void objectRedisTest() {
        redisTemplate.opsForValue().set("person", new Person("李飞", 20, "临汾", "[email protected]", "1324567891"));
        redisTemplate1.opsForValue().set("person", new Person("李大壮", 35, "西安", "[email protected]", "1324567891"));
    }

}

7、结果

使用redis可视化工具查看是否成功;

redisresult.jpg

声明:该博文是自己结合其他博主经验自己实践的一些总结,希望能帮到你,如果帮到你请帮我点一个星星;
Github代码示例
参考博客:http://www.cnblogs.com/lchb/articles/7222870.html

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