pom.xml
<!-- 引入redis缓存 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!--测试模块，包括JUnit、Hamcrest、Mockito -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
redis.properties配置
#Redis数据库索引（默认为0）
spring.redis.database=0
#Redis服务器地址
spring.redis.host=127.0.0.1
#Redis端口
spring.redis.port=32772
#Redis连接服务器密码（默认为空）
spring.redis.password=
#连接池最大连接数（使用负值表示没有限制）
spring.redis.jedis.pool.max-active=8
#连接池最大阻塞等待时间（使用负值表示没有限制）
spring.redis.jedis.pool.max-wait=-1
#连接池中的最大空闲连接
spring.redis.jedis.pool.max-idle=8
#连接池总的最小空闲连接
spring.redis.jedis.pool.min-idle=0
#连接超时时间
spring.redis.timeout=2000
工具类
package com.utils;
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.SetOperations;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.core.ZSetOperations;
import org.springframework.stereotype.Service;
/**
* @author cherry
* @version 1.0.0
* @since
* 创建时间：Jan 17, 2019
* 功能描述：
* 官方网站：yichaotang.cn
* 邮箱地址：yichaotang@qq.com
*/
@Service
@SuppressWarnings("unchecked")
public class RedisClusterUtil {
private final static Logger logger = LoggerFactory.getLogger(RedisClusterUtil.class);
@SuppressWarnings("rawtypes")
@Autowired
private 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) {
logger.info("写入缓存报错:"+e);
}
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) {
boolean result = false;
try {
ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
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);
}
}
使用junit测试
package redisTest;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.test.context.junit4.SpringRunner;
import com.Cherry.cherryPersonalWebSite.CherryPersonalWebSiteApplication;
import com.utils.RedisClusterUtil;
@RunWith(SpringRunner.class)//标识为JUnit的运行环境
@SpringBootTest(classes= CherryPersonalWebSiteApplication.class)//获取启动类、加载配置，确定装载Spring Boot；
public class RedisAutoTest {
@Autowired
private RedisClusterUtil redisClusterUtil;
@Test
public void save() {
redisClusterUtil.set("hello", "world");
System.out.println("设置缓存成功");
Object res=redisClusterUtil.get("hello");
System.out.println(""+res);
}
}
存入成功以后去缓存中查询验证一下
keys *
get hello
到这里有的人会出现编码格式不对类似\xe5\x94\x90\xe4\xb8\
解决办法:在进入redis的时候命令后面添加--raw,它的作用有2个。
1.按数据原有格式打印数据，不展示额外的类型信息
2.显示中文
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