SpringBoot中实现连接多个Redis分别读写数据

我会带着你远行 2022-08-28 06:47 167阅读 0赞

# 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：

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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>
    
            
            <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/> 
        </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>
    
            
            <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

![watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA6Zy46YGT5rWB5rCT5rCU6LSo_size_20_color_FFFFFF_t_70_g_se_x_16][]

[BADAO_LIUMANG_QIZHI_CSDN]: https://blog.csdn.net/badao_liumang_qizhi
[watermark_type_ZHJvaWRzYW5zZmFsbGJhY2s_shadow_50_text_Q1NETiBA6Zy46YGT5rWB5rCT5rCU6LSo_size_20_color_FFFFFF_t_70_g_se_x_16]: /images/20220828/f67d7a892c344ce5a99aefe3fdf33290.png