Redis是如何存儲對象和集合的
在項目中,緩存以及mq消息隊列可以說是不可或缺的2個重要技術(shù)。前者主要是為了減輕數(shù)據(jù)庫壓力,大幅度提升性能。后者主要是為了提高用戶的體驗度,我理解的是再后端做的一個ajax請求(異步),并且像ribbmitmq等消息隊列有重試機制等功能。
這里主要講redis如何把對象,集合存入,并且取出。
1.在啟動類上加入如下代碼
- private Jedis jedis;private JedisPoolConfig config;private JedisShardInfo sharInfo;@Beanpublic Jedis jedis(){//連接redis服務(wù)器,192.168.0.100:6379// jedis = new Jedis("192.168.0.100", 6379);// //權(quán)限認證// jedis.auth("123456");// 操作單獨的文本串config = new JedisPoolConfig();
- config.setMaxIdle(1000);//最大空閑時間config.setMaxWaitMillis(1000); //最大等待時間config.setMaxTotal(500); //redis池中最大對象個數(shù)sharInfo = new JedisShardInfo("192.168.0.100", 6379);
- sharInfo.setPassword("123456");
- sharInfo.setConnectionTimeout(5000);//鏈接超時時間jedis = new Jedis(sharInfo);return jedis;
- }
2.在application.yml當中加入redis配置
- spring:
- redis:
- database: 0
- host: 101.132.191.77
- port: 6379
- password: 123456
- pool:
- max-idle: 8 #連接池最大連接數(shù)(使用負值表示沒有限制)
- min-idle: 0 # 連接池中的最小空閑連接
- max-active: 8 # 連接池最大阻塞等待時間(使用負值表示沒有限制)
- max-wait: -1 # 連接池中的最大空閑連接
- timeout: 5000 # 連接超時時間(毫秒)
3.新建SerializeUtil類,這個類主要是為了將對象序列化redis當中
- 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.我封裝了一個RedisServiceImpl類,主要是用對redis設(shè)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.測試redis是否ok,編寫redisController類
- 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,請訪問getredis查詢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,請訪問getredis查詢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 "刪除成功,請通過getredis進行查詢";
- }
- @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,請訪問getredis查詢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.測試結(jié)果