SpringBoot整合redis缓存的方法

开启远程访问：

找到redis中的redis.conf文件并编辑（在安装路径中找到）vim ./redis.conf1、找到bind 127.0.0.1并注释掉

默认127.0.0.1只能本地访问，注释掉即可ip访问

2、修改 protected-mode 属性值为no

注释掉并把保护模式禁用以后可以IP访问

3、修改daemonize属性将no 改为yes

将daemonize设置为yes即启动后台运行

4、开放6379端口/sbin/iptables -I INPUT -p tcp --dport 6379 -j ACCEPT默认不对外开放6379

5、启动redisredis-server /myconf/redis.confredis-server默认在/usr/local/bin路径下，redis.conf在redis的安装路径下

6、测试连接redis-cli -h 192.168.126.129 -p 6379redis-cli -h redis服务器IP -p 6379 -a 密码（没有设置redis密码不要写空，否则报错）

java代码编写：

项目源码结构

一个user表

代码：

pom.xml文件（可以根据自己的需要来添加或修改）<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><!-- mybatis 与 spring boot 2.x的整合包 --><dependency><groupId>org.mybatis.spring.boot</groupId><artifactId>mybatis-spring-boot-starter</artifactId><version>1.3.2</version></dependency><!--mysql JDBC驱动 --><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><version>5.1.39</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-cache</artifactId></dependency></dependencies>下面是springboot的配置文件application.yml，配置redis（里面都有注释解释）server:port: 8081 #数据库连接spring:datasource:url: jdbc:mysql://localhost:3306/mytest_springboot_cache?useUnicode=truedriver-class-name: com.mysql.jdbc.Driverusername: rootpassword: lzh## Redis 配置redis:## Redis数据库索引（默认为0）database: 0## Redis服务器地址host: 192.168.126.129## Redis服务器连接端口port: 6379## Redis服务器连接密码（默认为空）password:jedis:pool:## 连接池最大连接数（使用负值表示没有限制）#spring.redis.pool.max-active=8max-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=-1max-wait: -1## 连接池中的最大空闲连接#spring.redis.pool.max-idle=8max-idle: 8## 连接池中的最小空闲连接#spring.redis.pool.min-idle=0min-idle: 0## 连接超时时间（毫秒）timeout: 1200#将themilef的默认缓存禁用，热加载生效thymeleaf:cache: false#mybatis的下划线转驼峰配置configuration:map-underscore-to-camel-case: true#另外一种打印语句的方式log-impl: org.apache.ibatis.logging.stdout.StdOutImpl #打印sql时的语句logging:level:com:acong:dao: debugfile: d:/logs/bsbdj.log接着是实体类，这个比较简单就不多说了package com.lzh.springbootstudytest.bean; import java.io.Serializable; /** * @author lzh * create 2019-09-18-22:32 */public class User implements Serializable {private static final long serialVersionUID = 1L;private int uid;private String userName;private String passWord;private int salary;public int getUid() {return uid;}public void setUid(int uid) {this.uid = uid;}public String getUserName() {return userName;}public void setUserName(String userName) {this.userName = userName;}public String getPassWord() {return passWord;}public void setPassWord(String passWord) {this.passWord = passWord;}public int getSalary() {return salary;}public void setSalary(int salary) {this.salary = salary;}public User(int uid, String userName, String passWord, int salary) {super();this.uid = uid;this.userName = userName;this.passWord = passWord;this.salary = salary;}public User() {super();}}　 这是controller类，用于暴露接口访问package com.lzh.springbootstudytest.controller; import com.lzh.springbootstudytest.bean.User;import com.lzh.springbootstudytest.service.UserService;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.RequestParam;import org.springframework.web.bind.annotation.ResponseBody;import org.springframework.web.bind.annotation.RestController; import java.util.HashMap;import java.util.List;import java.util.Map; /** * @author lzh * create 2019-09-18-22:36 */@RestControllerpublic class TestController {@Autowiredprivate UserService userService;@RequestMapping("/queryAll")public List<User> queryAll(){List<User> lists = userService.queryAll();return lists;}@RequestMapping("/findUserById")public Map<String, Object> findUserById(@RequestParam int id){User user = userService.findUserById(id);Map<String, Object> result = new HashMap<>();result.put("uid", user.getUid());result.put("uname", user.getUserName());result.put("pass", user.getPassWord());result.put("salary", user.getSalary());return result;}@RequestMapping("/updateUser")public String updateUser(){User user = new User();user.setUid(1);user.setUserName("cat");user.setPassWord("miaomiao");user.setSalary(4000);int result = userService.updateUser(user);if(result != 0){return "update user success";}return "fail";}@RequestMapping("/deleteUserById")public String deleteUserById(@RequestParam int id){int result = userService.deleteUserById(id);if(result != 0){return "delete success";}return "delete fail";}}配置redistemplate序列化　package com.lzh.springbootstudytest.config; import com.fasterxml.jackson.annotation.JsonAutoDetect;import com.fasterxml.jackson.annotation.PropertyAccessor;import com.fasterxml.jackson.databind.ObjectMapper;import org.springframework.cache.CacheManager;import org.springframework.cache.annotation.CachingConfigurerSupport;import org.springframework.cache.annotation.EnableCaching;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.data.redis.cache.RedisCacheConfiguration;import org.springframework.data.redis.cache.RedisCacheManager;import org.springframework.data.redis.cache.RedisCacheWriter;import org.springframework.data.redis.connection.RedisConnectionFactory;import org.springframework.data.redis.core.*;import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;import org.springframework.data.redis.serializer.StringRedisSerializer; import java.time.Duration; /** * @author lzh * create 2019-09-24-15:07 */@Configuration@EnableCachingpublic class RedisConfig extends CachingConfigurerSupport {/*** 选择redis作为默认缓存工具* @param redisConnectionFactory* @return*//*@Bean//springboot 1.xxpublic CacheManager cacheManager(RedisTemplate redisTemplate) {RedisCacheManager rcm = new RedisCacheManager(redisTemplate);return rcm;}*/@Beanpublic CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig().entryTtl(Duration.ofHours(1)); // 设置缓存有效期一小时return RedisCacheManager.builder(RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory)).cacheDefaults(redisCacheConfiguration).build();}/*** retemplate相关配置* @param factory* @return*/@Beanpublic RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {RedisTemplate<String, Object> template = new RedisTemplate<>();// 配置连接工厂template.setConnectionFactory(factory);//使用Jackson2JsonRedisSerializer来序列化和反序列化redis的value值（默认使用JDK的序列化方式）Jackson2JsonRedisSerializer jacksonSeial = new Jackson2JsonRedisSerializer(Object.class);ObjectMapper om = new ObjectMapper();// 指定要序列化的域，field,get和set,以及修饰符范围，ANY是都有包括private和publicom.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);// 指定序列化输入的类型，类必须是非final修饰的，final修饰的类，比如String,Integer等会跑出异常om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);jacksonSeial.setObjectMapper(om);// 值采用json序列化template.setValueSerializer(jacksonSeial);//使用StringRedisSerializer来序列化和反序列化redis的key值template.setKeySerializer(new StringRedisSerializer());// 设置hash key 和value序列化模式template.setHashKeySerializer(new StringRedisSerializer());template.setHashValueSerializer(jacksonSeial);template.afterPropertiesSet();return template;}/*** 对hash类型的数据操作** @param redisTemplate* @return*/@Beanpublic HashOperations<String, String, Object> hashOperations(RedisTemplate<String, Object> redisTemplate) {return redisTemplate.opsForHash();}/*** 对redis字符串类型数据操作** @param redisTemplate* @return*/@Beanpublic ValueOperations<String, Object> valueOperations(RedisTemplate<String, Object> redisTemplate) {return redisTemplate.opsForValue();}/*** 对链表类型的数据操作** @param redisTemplate* @return*/@Beanpublic ListOperations<String, Object> listOperations(RedisTemplate<String, Object> redisTemplate) {return redisTemplate.opsForList();}/*** 对无序集合类型的数据操作** @param redisTemplate* @return*/@Beanpublic SetOperations<String, Object> setOperations(RedisTemplate<String, Object> redisTemplate) {return redisTemplate.opsForSet();}/*** 对有序集合类型的数据操作** @param redisTemplate* @return*/@Beanpublic ZSetOperations<String, Object> zSetOperations(RedisTemplate<String, Object> redisTemplate) {return redisTemplate.opsForZSet();}}接着是Mapper持久层Dao，这里主要用注解写比较方便，也可以使用mybatis的xml配置文件写sql语句package com.lzh.springbootstudytest.mapper; import com.lzh.springbootstudytest.bean.User;import org.apache.ibatis.annotations.*; import java.util.List; /** * @author lzh * create 2019-09-18-22:32 */@Mapperpublic interface UserDao {@Select("select * from user")List<User> queryAll();@Select("select * from user where uid = #{id}")User findUserById(int id);@Update("UPDATE USER SET username = CASE WHEN (#{userName} != NULL) AND (#{userName} != '') THEN #{userName},PASSWORD = CASE WHEN (#{passWord} != NULL) AND (#{passWord} != '') THEN #{passWord},salary = CASE WHEN (#{salary} != 0) THEN #{salary} WHERE uid = #{uid}")int updateUser(@Param("user") User user);@Delete("delete from user where uid = #{id}")int deleteUserById(int id); }service层，这里主要是使用redis模板来写package com.lzh.springbootstudytest.service; import com.lzh.springbootstudytest.bean.User;import com.lzh.springbootstudytest.mapper.UserDao;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.ValueOperations;import org.springframework.stereotype.Service; import java.util.List;import java.util.concurrent.TimeUnit; /** * @author lzh * create 2019-09-18-22:33 */@Servicepublic class UserService {@Autowiredprivate UserDao userDao;@Autowiredprivate RedisTemplate redisTemplate;public List<User> queryAll() {return userDao.queryAll();}/*** 获取用户策略：先从缓存中获取用户，没有则取数据表中 数据，再将数据写入缓存*/public User findUserById(int id) {String key = "user_" + id;ValueOperations<String, User> operations = redisTemplate.opsForValue();//判断redis中是否有键为key的缓存boolean hasKey = redisTemplate.hasKey(key);if (hasKey) {User user = operations.get(key);System.out.println("从缓存中获得数据："+user.getUserName());System.out.println("------------------------------------");return user;} else {User user = userDao.findUserById(id);System.out.println("查询数据库获得数据："+user.getUserName());System.out.println("------------------------------------");// 写入缓存operations.set(key, user, 5, TimeUnit.HOURS);return user;}}/*** 更新用户策略：先更新数据表，成功之后，删除原来的缓存，再更新缓存*/public int updateUser(User user) {ValueOperations<String, User> operations = redisTemplate.opsForValue();int result = userDao.updateUser(user);if (result != 0) {String key = "user_" + user.getUid();boolean haskey = redisTemplate.hasKey(key);if (haskey) {redisTemplate.delete(key);System.out.println("删除缓存中的key-----------> " + key);}// 再将更新后的数据加入缓存User userNew = userDao.findUserById(user.getUid());if (userNew != null) {operations.set(key, userNew, 3, TimeUnit.HOURS);}}return result;}/*** 删除用户策略：删除数据表中数据，然后删除缓存*/public int deleteUserById(int id) {int result = userDao.deleteUserById(id);String key = "user_" + id;if (result != 0) {boolean hasKey = redisTemplate.hasKey(key);if (hasKey) {redisTemplate.delete(key);System.out.println("删除了缓存中的key:" + key);}}return result;} }　这里主要是使用RedisTemplate来对远程redis操作，每次访问controller暴露的接口，首先判断redis缓存中是否存在该数据，若不存在就从数据库中读取数据，然后保存到redis缓存中，当下次访问的时候，就直接从缓存中取出来。

这样就不用每次都执行sql语句，能够提高访问速度。 但是在保存数据到缓存中，通过设置键和值和超时删除，注意设置超时删除缓存时间不要太长，否则会给服务器带来压力。

执行spring boot的启动类，访问http://localhost:8081/findUserById?id=1

再次访问http://localhost:8081/findUserById?id=1就是从缓存中获取保存的数据

更多redis知识请关注入redis门教程栏目。以上就是SpringBoot整合redis缓存的方法的详细内容，更多请关注小潘博客其它相关文章！