[toc]
项目类型:springboot+redis单数据源
主要功能:
- 1、提供redis工具类
- 2、redis存储测试
- 3、redis消息发布和监听
- 4、redis接口缓存返回数据
- 5、集成swagger2-api测试接口
工具类和redis存储测试已经在项目实战中讲了, springboot+redis项目实战完整篇 参考地址: https://www.jianshu.com/p/5596c3a4978d
发送消息
package com.dist.controller;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import io.swagger.annotations.ApiParam;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import javax.annotation.Resource;
/**
* @author [email protected]
* @data 2019/6/11 14:05
*/
@Api(tags = {"RedisSendMessageController"}, description = "redis发布测试")
@RestController
@RequestMapping(value = "rest/redis")
public class RedisSendMessageController {
//传string会出现乱码
@Resource
private RedisTemplate redisTemplate;
//解决string乱码问题
@Resource
private StringRedisTemplate stringRedisTemplate;
@ApiOperation(value = "redis-发布", notes = "redis-发布")
@RequestMapping(value = "send/message", method = RequestMethod.GET)
public void testPush(@ApiParam(value = "发布的消息内容", required = true) @RequestParam("body") String body){
/**
* 使用redisTemplate的convertAndSend()函数,
* String channel, Object message
* channel代表管道,
* message代表发送的信息
*/
System.out.println("body==="+body);
stringRedisTemplate.convertAndSend("topic1", body);
}
}
监听器:接收消息
package com.dist.listener;
import org.springframework.data.redis.connection.Message;
import org.springframework.data.redis.connection.MessageListener;
import org.springframework.stereotype.Component;
import java.io.UnsupportedEncodingException;
/**
* redis订阅方:接收消息
*
* 为了接收 Redis 渠道发送过来的消息,我们先定义一个消息监听器( MessageListener )
* @author [email protected]
* @data 2019/6/11 13:58
*/
@Component
public class MyRedisSubscribeListener implements MessageListener {
/**
* 这里的 onMessage 方法是得到消息后的处理方法, 其中 message 参数代表 Redis 发送过来的消息,
* pattern是渠道名称,onMessage方法里打印 了它们的内容。这里因为标注了 @Component 注解,所以
* 在 Spring Boot 扫描后,会把它自动装配到 IoC 容器中 ,监听着对象RedisMessageListener会自动
* 将消息进行转换。
* @param message
* @param bytes
*/
@Override
public void onMessage(Message message, byte[] bytes) {
//消息体
String body = null;
try {
//解决string乱码
body = new String(message.getBody(),"utf-8");
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
}
//渠道名称
String topic = new String(bytes);
System.out.println("消息体:"+body);
System.out.println("渠道名称:"+topic);
}
}
直接上代码,具体效果自己测试,将此项目下载可以测试
package com.dist.service.impl;
import com.dist.constants.RedisConstants;
import com.dist.service.RedisMethodsCacheService;
import org.springframework.cache.annotation.CacheConfig;
import org.springframework.cache.annotation.CacheEvict;
import org.springframework.cache.annotation.CachePut;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
/**
* @author ZhengJa
* @description
* @data 2019/11/13
*/
@Service
@CacheConfig(cacheNames = RedisConstants.EntityCacheKey.OPINION)
public class RedisMethodsCacheServiceImpl implements RedisMethodsCacheService {
//value:组, key:组员
//@Cacheable(value = "getData1value", key = "'getData1key:'+#id", unless = "#result==null")
//@Cacheable(value = "getData1value",key = "'getData1key'")
@Cacheable(key = "'getData1key'")
@Override
public String getData(){
return "redis缓存-无参:方法返回的数据";
}
/**
* 多个参数查询 key的写法
* @param page 参数1
* @param pageSize 参数2
* @return Object
*/
@Cacheable(key = "#page+'-'+#pageSize")
public Object findAllUsers(int page,int pageSize) {
int pageStart = (page-1)*pageSize;
return null;
}
/** Cacheable : value-组, key-组员
* 新增接口:每次新增数据,要清空缓存组,保证缓存与数据库同步
* @param parameter
* @return java.lang.String
*/
@Cacheable(key = "'rediskey:'+#p0")
@Override
public String saveData(String parameter){
return "redis-新增: "+parameter;
}
/** Cacheable : value-组, key-组员
* 查询接口:首次查询缓存中没有,再到数据库查询,将查询返回的结果保存到缓存中,下次请求在缓存中取数据
* @param parameter
* @return java.lang.String
*/
//@Cacheable(value = "getData2value",key = "'getData2key:'+#parameter")
@Cacheable(key = "'rediskey:'+#p0")
//@Cacheable(key = "'rediskey:'+#p0",keyGenerator = "wiselyKeyGenerator")
@Override
public String getData(String parameter){
return "redis-查询: "+parameter;
}
/**
* 更新接口:同时更新缓存库
* @param parameter
* @return java.lang.String
*/
//@CachePut(key = "'rediskey:'+#p0")
@CachePut(key = "'rediskey:'+#p0")
@Override
public String putData(String parameter){
return "redis-更新: "+parameter;
}
/**
* 删除数据:同时删除缓存库中对应的 组 ,目的保证数据一致性
* @param parameter
* @return java.lang.String
*/
//@CacheEvict(allEntries=true)// 清空组下的所有缓存
@CacheEvict(key = "'rediskey:'+#p0")// 清空组下的某个缓存
@Override
public String deleteData(String parameter){
return "redis-删除某个缓存: "+parameter;
}
/**
* 删除数据:同时删除缓存库中对应的 组 ,目的保证数据一致性
* @param parameter
* @return java.lang.String
*/
// 清空组下的所有缓存,忽略key
//@CacheEvict(value=RedisConstants.EntityCacheKey.OPINION, allEntries=true)
@CacheEvict(allEntries=true)
@Override
public String deleteAllData(String parameter){
return "redis-清除组:"+RedisConstants.EntityCacheKey.OPINION;
}
}