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。
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