需要自己先下载安装redis
1.导入依赖
<!-- 加载 spring boot redis 包 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
2.在yml中或者properties中完成配置
spring.redis.host=127.0.0.1
#Redis服务器连接端口
spring.redis.port=6379
#Redis服务器连接密码(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.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.pool.max-wait=-1
#连接池中的最大空闲连接
spring.redis.pool.max-idle=8
#连接池中的最小空闲连接
spring.redis.pool.min-idle=0
#连接超时时间(毫秒)
spring.redis.timeout=30000
redis:
# redis数据库索引(默认为0),我们使用索引为3的数据库,避免和其他数据库冲突
database: 3
# redis服务器地址(默认为loaclhost)
host: 192.168.73.12
# redis端口(默认为6379)
post: 6379
# redis访问密码(默认为空)
password: pwd123
# redis连接超时时间(单位毫秒)
timeout: 0
# redis连接池配置
pool:
# 最大可用连接数(默认为8,负数表示无限)
max-active: 8
# 最大空闲连接数(默认为8,负数表示无限)
max-idle: 8
# 最小空闲连接数(默认为0,该值只有为正数才有用)
min-idle: 0
# 从连接池中获取连接最大等待时间(默认为-1,单位为毫秒,负数表示无限)
max-wait: -1
封装redistemplate工具类Redisutils
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
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;
@Service
public class RedisUtils {
@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) {
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);
}
}
创建demo测试
import java.util.concurrent.TimeUnit;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import com.chenqi.springboot.redis.RedisUtils;
import com.chenqi.springboot.service.TestService;
@RestController
public class SpringBootController {
public static final Logger log = LoggerFactory.getLogger(SpringBootController.class);
@Autowired
TestService testService;
@Autowired
private RedisUtils redisUtils;
@RequestMapping(value = "/hello/{id}")
public String hello(@PathVariable(value = "id") String id){
//查询缓存中是否存在
boolean hasKey = redisUtils.exists(id);
String str = "";
if(hasKey){
//获取缓存
Object object = redisUtils.get(id);
log.info("从缓存获取的数据"+ object);
str = object.toString();
}else{
//从数据库中获取信息
log.info("从数据库中获取数据");
str = testService.test();
//数据插入缓存(set中的参数含义:key值,user对象,缓存存在时间10(long类型),时间单位)
redisUtils.set(id,str,10L,TimeUnit.MINUTES);
log.info("数据插入缓存" + str);
}
return str;
}
}