1.在pom文件导入redis和json相关依赖
<!-- redis -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!-- json -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.58</version>
</dependency>
2.创建redisUtil.java工具类
该类覆盖了redis操作各种数据类型的方法
package com.cwh.webProject.util;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Component;
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@Component
public class RedisUtils {
// @Autowired
// private RedisTemplate redisTemplate;
private RedisTemplate redisTemplate;
@Autowired(required = false)
public void setRedisTemplate(RedisTemplate redisTemplate) {
RedisSerializer stringSerializer = new StringRedisSerializer();//序列化为String
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);//序列化为Json
redisTemplate.setKeySerializer(stringSerializer);
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.setHashKeySerializer(stringSerializer);
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
this.redisTemplate = redisTemplate;
}
/**
* 写入缓存
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存设置时效时间
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value, Long expireTime , TimeUnit timeUnit) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, timeUnit);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 批量删除对应的value
* @param keys
*/
public void remove(final String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 批量删除key
* @param pattern
*/
public void removePattern(final String pattern) {
Set<Serializable> keys = redisTemplate.keys(pattern);
if (keys.size() > 0){
redisTemplate.delete(keys);
}
}
/**
* 删除对应的value
* @param key
*/
public void remove(final String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
* @param key
* @return
*/
public boolean exists(final String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
* @param key
* @return
*/
public Object get(final String key) {
Object result = null;
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
result = operations.get(key);
return result;
}
/**
* 哈希 添加
* @param key
* @param hashKey
* @param value
*/
public void hmSet(String key, Object hashKey, Object value){
HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
hash.put(key,hashKey,value);
}
/**
* 哈希获取数据
* @param key
* @param hashKey
* @return
*/
public Object hmGet(String key, Object hashKey){
HashOperations<String, Object, Object> hash = redisTemplate.opsForHash();
return hash.get(key,hashKey);
}
/**
* 列表添加
* @param k
* @param v
*/
public void lPush(String k,Object v){
ListOperations<String, Object> list = redisTemplate.opsForList();
list.rightPush(k,v);
}
/**
* 列表获取
* @param k
* @param l
* @param l1
* @return
*/
public List<Object> lRange(String k, long l, long l1){
ListOperations<String, Object> list = redisTemplate.opsForList();
return list.range(k,l,l1);
}
/**
* 集合添加
* @param key
* @param value
*/
public void add(String key,Object value){
SetOperations<String, Object> set = redisTemplate.opsForSet();
set.add(key,value);
}
/**
* 集合获取
* @param key
* @return
*/
public Set<Object> setMembers(String key){
SetOperations<String, Object> set = redisTemplate.opsForSet();
return set.members(key);
}
/**
* 有序集合添加
* @param key
* @param value
* @param scoure
*/
public void zAdd(String key,Object value,double scoure){
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
zset.add(key,value,scoure);
}
/**
* 有序集合获取
* @param key
* @param scoure
* @param scoure1
* @return
*/
public Set<Object> rangeByScore(String key,double scoure,double scoure1){
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
return zset.rangeByScore(key, scoure, scoure1);
}
}
3.测试,避免麻烦直接在control中写测试了
a.实体类需实现序列化接口
b.从redis拿回的数据需通过JSON
package com.cwh.webDemo.Controller;
import java.util.List;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import com.alibaba.fastjson.JSON;
import com.cwh.webDemo.Dao.ClientMapper;
import com.cwh.webDemo.Entity.Client;
import com.cwh.webDemo.Entity.ClientExample;
import com.cwh.webDemo.Server.ClientServer;
import com.cwh.webDemo.util.RedisUtils;
@Controller
@RequestMapping("/test")
public class TestController {
@Autowired
private ClientServer clientServer;
@Autowired
private ClientMapper clientMapper;
@Autowired
private RedisUtils redisUtil;
@RequestMapping("/sayHello")
@ResponseBody
public String sayHello() {
return "hello";
}
@RequestMapping("/getClient")
@ResponseBody
public void getClient() {
System.out.println(clientServer.getAll());
}
@RequestMapping("/getClientById")
@ResponseBody
public void getClientById() {
Boolean isExists = redisUtil.exists("client_test");
if(isExists) {
System.out.println("-----从缓存中拿数据--------");
//Client clients = (Client) redisUtils.get("client_nfsq");
Client clients = JSON.parseObject(JSON.toJSONString(redisUtil.get("client_test")),Client.class);
System.out.println(clients);
System.out.println("第一个数据的名称"+clients.getcName());
}
else {
System.out.println("-----从数据库中拿数据--------");
ClientExample clientExample = new ClientExample();
clientExample.createCriteria().andCIdEqualTo("0966a418ee3b4f358919d24e4efad2ed");
List<Client> clients = clientMapper.selectByExample(clientExample);
System.out.println(clients.get(0));
System.out.println("-----将数据存在缓存中--------");
redisUtil.set("client_test", clients.get(0));
}
}
}
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