• SpringBoot中实现连接多个Redis分别读写数据

    场景

    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：

    博客：
    https://blog.csdn.net/badao_liumang_qizhi
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    实现

    1、新建SpringBoot项目并添加依赖

            <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>3.3.0</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-redis</artifactId>
            <version>2.3.6.RELEASE</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/com.alibaba/fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.75</version>
        </dependency>

    2、完整的pom文件代码

    <?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.3.7.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.example</groupId>
    <artifactId>demo</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>demo</name>
    <description>Demo project for Spring Boot</description>
    <properties>
        <java.version>1.8</java.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>3.3.0</version>
        </dependency>

        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-redis</artifactId>
            <version>2.3.6.RELEASE</version>
        </dependency>

        <!-- https://mvnrepository.com/artifact/com.alibaba/fastjson -->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.75</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

    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<Object, Object> redisTemplateOrder(RedisConnectionFactory connectionFactory) {
        RedisTemplate<Object, Object> 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<Object, Object> redisTemplateUser(RedisConnectionFactory connectionFactory) {
        RedisTemplate<Object, Object> 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<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);
    }
}

    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;

    /**
     * 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
     * @returntrue=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
     * @returntrue=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);
    }

    /**
     * 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);
    }

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

    /**
     * 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(final String key)
    {
        return redisTemplate.opsForList().range(key, 0, -1);
    }

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

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public <T> Set<T> getCacheSet(final String key)
    {
        return redisTemplate.opsForSet().members(key);
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     */
    public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
    {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
        }
    }

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

    /**
     * 往Hash中存入数据
     *
     * @param key Redis键
     * @param hKey Hash键
     * @param value 值
     */
    public <T> void setCacheMapValue(final String key, final String hKey, final T value)
    {
        redisTemplate.opsForHash().put(key, hKey, value);
    }

    /**
     * 获取Hash中的数据
     *
     * @param key Redis键
     * @param hKey Hash键
     * @return Hash中的对象
     */
    public <T> T getCacheMapValue(final String key, final String hKey)
    {
        HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(key, hKey);
    }

    /**
     * 获取多个Hash中的数据
     *
     * @param key Redis键
     * @param hKeys Hash键集合
     * @return Hash对象集合
     */
    public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
    {
        return redisTemplate.opsForHash().multiGet(key, hKeys);
    }

    /**
     * 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);
    }

    /**
     * 获得缓存的集合(模糊查询)
     *
     * @param keys
     * @return
     */
    public <T> List<T> getCacheList(Set keys) {
        return redisTemplate.opsForValue().multiGet(keys);
    }
}

    RedisServiceUser:

    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 RedisServiceUser
{
    @Resource(name = "redisTemplateUser")
    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
     * @returntrue=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
     * @returntrue=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);
    }

    /**
     * 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);
    }

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

    /**
     * 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(final String key)
    {
        return redisTemplate.opsForList().range(key, 0, -1);
    }

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

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public <T> Set<T> getCacheSet(final String key)
    {
        return redisTemplate.opsForSet().members(key);
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     */
    public <T> void setCacheMap(final String key, final Map<String, T> dataMap)
    {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
        }
    }

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

    /**
     * 往Hash中存入数据
     *
     * @param key Redis键
     * @param hKey Hash键
     * @param value 值
     */
    public <T> void setCacheMapValue(final String key, final String hKey, final T value)
    {
        redisTemplate.opsForHash().put(key, hKey, value);
    }

    /**
     * 获取Hash中的数据
     *
     * @param key Redis键
     * @param hKey Hash键
     * @return Hash中的对象
     */
    public <T> T getCacheMapValue(final String key, final String hKey)
    {
        HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(key, hKey);
    }

    /**
     * 获取多个Hash中的数据
     *
     * @param key Redis键
     * @param hKeys Hash键集合
     * @return Hash对象集合
     */
    public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys)
    {
        return redisTemplate.opsForHash().multiGet(key, hKeys);
    }

    /**
     * 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);
    }

    /**
     * 获得缓存的集合(模糊查询)
     *
     * @param keys
     * @return
     */
    public <T> List<T> getCacheList(Set keys) {
        return redisTemplate.opsForValue().multiGet(keys);
    }
}

    6、编写测试Controller进行测试

    package com.example.demo;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

@RestController
@RequestMapping("/badao")
public class TestController {

    @Autowired
    private RedisServiceOrder redisServiceOrder;

    @Autowired
    private RedisServiceUser redisServiceUser;

    @GetMapping("/test")
    public String list()
    {
        redisServiceOrder.setCacheObject("badao","公众号:霸道的程序猿");
        String badao = redisServiceOrder.getCacheObject("badao");
        redisServiceUser.setCacheObject("copyBadao",badao);
        return "公众号:霸道的程序猿";
    }
}

    7、启动项目并调用测试接口

    博客园： https://www.cnblogs.com/badaoliumangqizhi/ 关注公众号 霸道的程序猿 获取编程相关电子书、教程推送与免费下载。
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  • 原文地址：https://www.cnblogs.com/badaoliumangqizhi/p/15393595.html
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