Redis如何存储对象与集合示例详解

前言

大家都知道在项目中,缓存以及mq消息队列可以说是不可或缺的2个重要技术。前者主要是为了减轻数据库压力,大幅度提升性能。后者主要是为了提高用户的体验度,我理解的是再后端做的一个ajax请求(异步),并且像ribbmitmq等消息队列有重试机制等功能。

这里主要讲redis如何把对象,集合存入,并且取出。下面话不多说了,来一起看看详细的介绍吧。

1.在启动类上加入如下代码

private Jedis jedis;private JedisPoolConfig config;private JedisShardInfo sharInfo;@Beanpublic Jedis jedis(){//连接redis服务器,192.168.0.100:6379// jedis = new Jedis("192.168.0.100", 6379);// //权限认证// jedis.auth("123456");// 操作单独的文本串config = new JedisPoolConfig(); 
config.setMaxIdle(1000);//最大空闲时间config.setMaxWaitMillis(1000); //最大等待时间config.setMaxTotal(500); //redis池中最大对象个数sharInfo = new JedisShardInfo("192.168.0.100", 6379); 
sharInfo.setPassword("123456"); 
sharInfo.setConnectionTimeout(5000);//链接超时时间jedis = new Jedis(sharInfo);return jedis; 
} 

2.在application.yml当中加入redis配置

spring: 
 redis: 
 database: 0 
 host: 101.132.191.77 
 port: 6379 
 password: 123456 
 pool: 
 max-idle: 8 #连接池最大连接数(使用负值表示没有限制) 
 min-idle: 0 # 连接池中的最小空闲连接 
 max-active: 8 # 连接池最大阻塞等待时间(使用负值表示没有限制) 
 max-wait: -1 # 连接池中的最大空闲连接 
 timeout: 5000 # 连接超时时间(毫秒) 

3.新建SerializeUtil类,这个类主要是为了将对象序列化redis当中

import java.io.ByteArrayInputStream; 
import java.io.ByteArrayOutputStream; 
import java.io.ObjectInputStream; 
import java.io.ObjectOutputStream;/** 
public class SerializeUtil 
{ 
 public static byte[] serialize(Object object) { 
 ObjectOutputStream oos = null; 
 ByteArrayOutputStream baos = null; 
 try {// 序列化baos = new ByteArrayOutputStream(); 
  oos = new ObjectOutputStream(baos); 
  oos.writeObject(object); 
  byte[] bytes = baos.toByteArray(); 
  return bytes; 
  } catch (Exception e) { 
 
  }return null; 
 } 
 public static Object unserialize( byte[] bytes) { 
 ByteArrayInputStream bais = null; 
 try { 
 // 反序列化bais = new ByteArrayInputStream(bytes); 
 ObjectInputStream ois = new ObjectInputStream(bais); 
 return ois.readObject(); 
  } catch (Exception e) { 
 
  }return null; 
 } 
 } 

4.我封装了一个RedisServiceImpl类,主要是用对redis设值和取值

import com.ys.util.redis.SerializeUtil; 
import org.springframework.beans.factory.annotation.Autowired; 
import org.springframework.data.redis.core.StringRedisTemplate; 
import org.springframework.stereotype.Service; 
import redis.clients.jedis.Jedis; 
import java.util.List; 
import java.util.Map; 
import java.util.concurrent.TimeUnit; 
@Service 
public class RedisServiceImpl 
 
 {@Autowired 
 
 private StringRedisTemplate stringRedisTemplate; 
 @Autowired 
 private Jedis jedis; 
 public void setStr(String key, String value) { 
 setStr(key, value, null); 
 } 
 public void setStr(String key, Object value, Long time) 
 {if(value == null){ 
 return; 
 }if(value instanceof String){ 
 String obj = (String) value; 
 stringRedisTemplate.opsForValue().set(key, obj); 
 }else if(value instanceof List){ 
 List obj = (List) value; 
 stringRedisTemplate.opsForList().leftPushAll(key,obj); 
 }else if(value instanceof Map){ 
 Map obj = (Map) value; 
 stringRedisTemplate.opsForHash().putAll(key,obj); 
 }if (time != null) 
 stringRedisTemplate.expire(key, time, TimeUnit.SECONDS); 
 } 
 public Object getKey(String key) 
 {return stringRedisTemplate.opsForValue().get(key); 
  } 
 public void delKey(String key) { 
 stringRedisTemplate.delete(key); 
 } 
 public boolean del(String key) 
 {return jedis.del(key.getBytes())>0; 
 } 
} 

5.测试redis是否ok,编写redisController类

import com.ys.service.impl.RedisServiceImpl; 
import com.ys.vo.IqProduct; 
import org.springframework.beans.factory.annotation.Autowired; 
import org.springframework.web.bind.annotation.RequestMapping; 
import org.springframework.web.bind.annotation.RestController; 
import java.util.ArrayList; 
import java.util.Date; 
import java.util.List; 
@RestController 
 
public class RedisServiceController 
 
 { 
@Autowired 
 
private RedisServiceImpl redisService; 
@RequestMapping(value = "/setredis") 
public String setredis(String keyredis){ 
 redisService.setStr(keyredis,"2018年1月26日"); 
 return "保存成功,请访问getredis查询redis"; 
} 
@RequestMapping(value = "/setObj") 
public String setObj(String keyredis){ 
 IqProduct iqProduct = new IqProduct(); 
 iqProduct.setSort(1); 
 iqProduct.setTimestamp(new Date().getTime()); 
 iqProduct.setProductName("productname"); 
 // list.add(iqProduct); 
 redisService.set(keyredis, iqProduct); 
 return "保存成功,请访问getredis查询redis"; 
 } 
 @RequestMapping(value = "/getObj") 
 public Object getObj(String keyredis){ 
 Object object = redisService.get(keyredis); 
 if(object !=null){ 
 IqProduct iqProduct = (IqProduct) object; 
 System. out.println(iqProduct.getProductName()); 
 System. out.println(iqProduct.getId()); 
 System. out.println(iqProduct.getTimestamp()); 
 }return object; 
} 
 @RequestMapping(value = "/delObj") 
 public boolean delObj(String keyredis) 
 {boolean del = redisService.del(keyredis); 
  return del; 
 } 
 @RequestMapping(value = "/getredis") 
 public String getredis(String keyredis){ 
 String getredis = (String) redisService.getKey(keyredis); 
 return "redis的key是===>"+getredis; 
 } 
 @RequestMapping(value = "/delredis") 
 public String delredis(String keyredis){ 
 redisService.delKey(keyredis); 
 return "删除成功,请通过getredis进行查询"; 
 } 
 @RequestMapping(value = "/setList") 
 public String setList(String keyredis){ 
 List list = new ArrayList();for (int i = 0;i<10;i++){ 
 IqProduct iqProduct = new IqProduct(); 
 iqProduct.setSort(1); 
 iqProduct.setTimestamp(new Date().getTime()); 
 iqProduct.setProductName("productname"); 
 list.add(iqProduct); 
 } 
 redisService.set(keyredis, list); 
 return "保存成功,请访问getredis查询redis"; 
 } 
 @RequestMapping(value = "/getList") 
 public Object getList(String keyredis){ 
 Object object = redisService.get(keyredis); 
 if(object !=null){ 
 List<IqProduct> iqProducts = (List<IqProduct>) object; 
 for (int i = 0;i<iqProducts.size();i++){ 
 IqProduct iqProduct = iqProducts.get(i); 
 System. out.println(iqProduct.getProductName()); 
 System. out.println(iqProduct.getId()); 
 System. out.println(iqProduct.getTimestamp()); 
 } 
 }return object; 
 } 
 @RequestMapping(value = "/delList") 
 public boolean delList(String keyredis) 
 { 
 boolean del = redisService.del(keyredis);return del; 
 } 
} 

6.测试结果

总结

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数据运维技术 » Redis如何存储对象与集合示例详解