SpringBoot整合Redis

在SpringBoot中一般使用RedisTemplate提供的方法来操作Redis。

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

server.port=8888


spring.datasource.url=jdbc:mysql://localhost:3306/blog?serverTimezone=Asia/Chongqing&useUnicode=true&characterEncoding=utf8&characterSetResults=utf8&useSSL=false&verifyServerCertificate=false&autoReconnct=true&autoReconnectForPools=true&allowMultiQueries=true

spring.datasource.username=root

spring.datasource.password=123456

spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver

logging.level.com.example.demo.dao.UserMapper=debug

mybatis-plus.mapper-locations=classpath*:mapper/*.xml

mybatis-plus.type-aliases-package=com.god.blog.entity


## 定位模板的目录
#spring.thymeleaf.prefix=classpath:/templates/
## 给返回的页面添加后缀名
#spring.thymeleaf.suffix=.html
#spring.thymeleaf.content-type=text/html
#spring.thymeleaf.mode=HTML5





## Redis 配置
redis:
## Redis数据库索引（默认为0）
database: 0
## Redis服务器地址
host: 127.0.0.1
## Redis服务器连接端口
port: 6379
## Redis服务器连接密码（默认为空）
password:123456
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=8
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
max-wait: -1
## 连接池中的最大空闲连接
#spring.redis.pool.max-idle=8
max-idle: 8
## 连接池中的最小空闲连接
#spring.redis.pool.min-idle=0
min-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: debug
file: d:/logs/bsbdj.log

package com.god.blog.controller;

import com.god.blog.entity.User;
import com.god.blog.service.UserService;
import io.swagger.annotations.Api;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.HashMap;
import java.util.List;
import java.util.Map;

@Api
@RestController
@RequestMapping("/user")
public class UserController {
    @Autowired
    private UserService userService;
    
    @GetMapping("/queryAll")
    public List<User> queryAll(){
        List<User> lists = userService.queryAll();
        return lists;
    }

    @GetMapping("/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;
    }

    @PostMapping("/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";
    }

    @DeleteMapping("/deleteUserById")
    public String deleteUserById(@RequestParam int id){
        int result = userService.deleteUserById(id);
        if(result != 0){
            return "delete success";
        }
        return "delete fail";
    }
}

package com.god.blog.service;

import com.god.blog.entity.User;
import com.god.blog.mapper.UserMapper;
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;
@Service
public class UserService {
    @Autowired
    private UserMapper userDao;

    @Autowired
    private 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;
    }
}

package com.god.blog.mapper;

import com.baomidou.mybatisplus.core.mapper.BaseMapper;
import com.god.blog.entity.User;
import io.lettuce.core.dynamic.annotation.Param;
import org.apache.ibatis.annotations.Delete;
import org.apache.ibatis.annotations.Mapper;
import org.apache.ibatis.annotations.Select;
import org.apache.ibatis.annotations.Update;
import org.springframework.stereotype.Repository;

import java.util.List;
@Repository
@Mapper
public interface UserMapper extends BaseMapper<User> {
    @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);
}

package com.god.blog.config;


import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import lombok.AllArgsConstructor;
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;

@AllArgsConstructor
@Configuration
@EnableCaching//开启注解
public class RedisConfig extends CachingConfigurerSupport {



//    @Bean
//    public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {
//        RedisTemplate<String, String> redisTemplate = new RedisTemplate<String, String>();
//        redisTemplate.setConnectionFactory(factory);
//        return redisTemplate;
//    }
//
//    // 管理缓存
//    @Bean
//    public 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();
//    }


    /**
     * 选择redis作为默认缓存工具
     * @param redisConnectionFactory
     * @return
     */
    /*@Bean
    //springboot 1.xx
    public CacheManager cacheManager(RedisTemplate redisTemplate) {
        RedisCacheManager rcm = new RedisCacheManager(redisTemplate);
        return rcm;
    }*/
    @Bean
    public 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
     */
    @Bean
    public 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public
        om.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
     */
    @Bean
    public 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
     */
    @Bean
    public ValueOperations<String, Object> valueOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForValue();
    }

    /**
     * 对链表类型的数据操作
     *
     * @param redisTemplate
     * @return
     */
    @Bean
    public 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
     */
    @Bean
    public 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
     */
    @Bean
    public ZSetOperations<String, Object> zSetOperations(RedisTemplate<String, Object> redisTemplate) {
        return redisTemplate.opsForZSet();
    }

}

执行spring boot的启动类，访问http://localhost:8888/findUserById?id=1