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

以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作具有一定的参考学习价值,如果有疑问大家可以留言交流,谢谢大家对的支持。

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