转https://blog.csdn.net/ai88030669/article/details/78686403
pom.xml 引入redis 开启缓存
<!-- cache -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-cache</artifactId>
</dependency>
<!-- redis -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
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application.properties 配置文件
# Redis数据库索引(默认为0)
spring.redis.database=0
# Redis服务器地址
spring.redis.host=localhost
# 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=0
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RedisService
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Service;
import java.io.Serializable;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
/**
* Created by Administrator on 2017/12/1.
*/
@Service
public class RedisService {
@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) {
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);
}
}
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使用xml配置文件加载
对于大多数之前使用xml文件配置的同学,还想沿用xml文件配置Redis,只要在application中引入xml文件即可。
@ImportResource(locations={"classpath:spring/spring-redis.xml"}) @SpringBootApplication public class SpringBootRedisApplication { public static void main(String[] args) { SpringApplication.run(SpringBootRedisApplication.class, args); } }
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<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:cache="http://www.springframework.org/schema/cache" xmlns:context="http://www.springframework.org/schema/context" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-4.0.xsd http://www.springframework.org/schema/cache http://www.springframework.org/schema/cache/spring-cache.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.0.xsd"> <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig"> <property name="minIdle" value="${redis.pool.minIdle}" /> <property name="maxIdle" value="${redis.pool.maxIdle}" /> <property name="maxWaitMillis" value="${redis.pool.maxWaitMillis}" /> </bean> <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"> <property name="usePool" value="true"></property> <property name="hostName" value="${redis.ip}" /> <property name="port" value="${redis.port}" /> <property name="password" value="${redis.password}" /> <property name="timeout" value="${redis.timeout}" /> <property name="database" value="${redis.default.db}"></property> <constructor-arg ref="jedisPoolConfig" /> </bean> <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate"> <property name="connectionFactory" ref="jedisConnectionFactory" /> <property name="KeySerializer"> <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"></bean> </property> <property name="ValueSerializer"> <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"></bean> </property> <property name="HashKeySerializer"> <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"></bean> </property> <property name="HashValueSerializer"> <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"></bean> </property> </bean> <!-- 开启缓存注解 --> <cache:annotation-driven cache-manager="cacheManager" /> <bean id="cacheManager" class="org.springframework.data.redis.cache.RedisCacheManager"> <constructor-arg index="0" ref="redisTemplate" /> <property name="expires"> <map> <entry key="user" value="600" /> <entry key="city" value="6000" /> </map> </property> </bean> </beans>
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测试用的Controller
import com.example.service.RedisService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class DemoController {
@Autowired
private RedisService redisService ;
@RequestMapping(value = "/test",method = RequestMethod.POST)
public void demoTest(){
redisService.set("1","value22222");
}
}