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:

关注公众号

霸道的程序猿

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

SpringBoot中实现连接多个Redis分别读写数据_缓存