一、项目创建
1.1 创建项目
在IDEA中,File--New--Project--Spring Initializer
名称为springboot-mysql-redis
1.2 目录结构
1.3 pom.xml配置文件
spring:
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/mybatis?serverTimezone=UTC
username: root
password: 1234
redis:
host: localhost
port: 6379
server:
port: 8080
mybatis:
mapper-locations: classpath:mapper/*xml
type-aliases-package: com.xsbc.entity
# 开启驼峰命名
configuration:
map-underscore-to-camel-case: true
二、初始化数据库
drop database if exists blog;
create database blog;
user blog;
drop table if exists user;
create table user(
id int(11) not null,
name varchar(255) DEFAULT "",
age int(11) DEFAULT 0,
PRIMARY KEY(id)
)ENGINE=INNODB DEFAULT CHARSET=utf8;
insert into user values(1,'小王',20);
insert into user values(2,'老李',23);
三、初始化代码
3.1 实体类entity
@Data
@NoArgsConstructor
@AllArgsConstructor
public class User {
private int id;
private String name;
private int age;
}
3.2 Mapper接口类
@Mapper
public interface UserMapper {
List<User> getAllUsers();
int updateUser(Integer id);
}
xml映射文件
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper
PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.xsbc.mapper.UserMapper">
<select id="getAllUsers" resultType="com.xsbc.entity.User">
select * from user
</select>
<!-- User类的id参数是int类型,mysql默认是Integer -->
<update id="updateUserAgeById" parameterType="java.lang.Integer">
update user set age=age+2 where id=#{id}
</update>
</mapper>
3.3 Redis工具类
1)config包创建类
Redis常量类RedisConstant
public class RedisConstant {
public static String ALL_USER_KEY="allUser";
}
Redis配置类RedisConfig
@Configuration
public class RedisConfig {
@Resource
private RedisTemplate redisTemplate;
@Bean
public RedisTemplate redisTemplateInit(){
//序列化key的实例化对象
redisTemplate.setKeySerializer(new StringRedisSerializer());
//序列化value的实例化对象
redisTemplate.setValueSerializer(
new GenericJackson2JsonRedisSerializer());
return redisTemplate;
}
}
2)util包下创建类
@Component
public class RedisUtil {
@Resource
private RedisTemplate<String,Object> redisTemplate;
public void setRedisTemplate(RedisTemplate<String,Object> redisTemplate){
this.redisTemplate=redisTemplate;
}
// 指定缓存失效时间
public boolean expire(String key,long time) {
try {
if (time > 0) {
redisTemplate.expire(key, time, TimeUnit.SECONDS);
}
return true;
} catch (Exception e) {
e.printStackTrace();
return false;
}
// 根据key获取过期时间
public long getExpire(String key){
return redisTemplate.getExpire(key,TimeUnit.SECONDS);
// 判断key是否存在
public boolean hasKey(String key){
return redisTemplate.hasKey(key);
}catch(Exception e){
// 删除缓存
@SuppressWarnings("unchecked")
public void del(String... key){
if (key!=null&&key.length> 0){
if (key.length==1) {
redisTemplate.delete(key[0]);
}else{
redisTemplate.delete(
(Collection<String>)CollectionUtils.arrayToList(key));
// 普通缓存获取
public Object get(String key){
return key==null?null:redisTemplate.opsForValue().get(key);
// 普通缓存放入
public boolean set(String key,Object value){
redisTemplate.opsForValue().set(key,value);
// 普通缓存放入并设置时间
public boolean set(String key,Object value,long time){
try{
if(time>0){
redisTemplate.opsForValue()
.set(key,value,time,TimeUnit.SECONDS);
set(key,value);
// 递增
public long incr(String key,long delta){
if(delta<0){
throw new RuntimeException("递增因子必须大于0");
return redisTemplate.opsForValue().increment(key,delta);
// 递减
public long decr(String key, long delta){
throw new RuntimeException("递减因子必须大于0");
return redisTemplate.opsForValue().increment(key,-delta);
// HashGet
public Object hget(String key,String item){
return redisTemplate.opsForHash().get(key,item);
// 获取hashKey对应的所有键值
public Map<Object, Object> hmget(String key){
return redisTemplate.opsForHash().entries(key);
// HashSet
public boolean hmset(String key,Map<String, Object> map){
redisTemplate.opsForHash().putAll(key,map);
// HashSet 并设置时间
public boolean hmset(String key,Map<String, Object> map,long time){
redisTemplate.opsForHash().putAll(key, map);
if (time>0){
expire(key,time);
// 向一张hash表中放入数据,如果不存在将创建
public boolean hset(String key,String item,Object value){
redisTemplate.opsForHash().put(key,item,value);
public boolean hset(String key,String item,Object value,long time){
// 删除hash表中的值
public void hdel(String key,Object... item) {
redisTemplate.opsForHash().delete(key,item);
// 判断hash表中是否有该项的值
public boolean hHasKey(String key,String item) {
return redisTemplate.opsForHash().hasKey(key,item);
// hash递增 如果不存在,就会创建一个 并把新增后的值返回
public double hincr(String key,String item,double by) {
return redisTemplate.opsForHash().increment(key,item,by);
// hash递减
public double hdecr(String key,String item,double by) {
return redisTemplate.opsForHash().increment(key,item,-by);
// 根据key获取Set中的所有值
public Set<Object> sGet(String key) {
return redisTemplate.opsForSet().members(key);
return null;
// 根据value从一个set中查询,是否存在
public boolean sHasKey(String key,Object value) {
return redisTemplate.opsForSet().isMember(key,value);
// 将数据放入set缓存
public long sSet(String key,Object... values) {
return redisTemplate.opsForSet().add(key,values);
return 0;
// 将set数据放入缓存
public long sSetAndTime(String key,long time,Object... values){
Long count=redisTemplate.opsForSet().add(key,values);
if (time> 0)expire(key, time);
return count;
// 获取set缓存的长度
public long sGetSetSize(String key){
return redisTemplate.opsForSet().size(key);
// 移除值为value的
public long setRemove(String key,Object... values){
Long count=redisTemplate.opsForSet().remove(key,values);
// 获取list缓存的内容
public List<Object> lGet(String key,long start,long end){
return redisTemplate.opsForList().range(key,start,end);
// 获取list缓存的长度
public long lGetListSize(String key){
return redisTemplate.opsForList().size(key);
// 通过索引 获取list中的值
public Object lGetIndex(String key,long index){
return redisTemplate.opsForList().index(key,index);
// 将list放入缓存
public boolean lSet(String key, Object value){
redisTemplate.opsForList().rightPush(key,value);
public boolean lSet(String key,Object value,long time){
if (time > 0) expire(key, time);
public boolean lSet(String key, List<Object> value){
redisTemplate.opsForList().rightPushAll(key,value);
public boolean lSet(String key,List<Object> value,long time){
if(time>0) expire(key, time);
// 根据索引修改list中的某条数据
public boolean lUpdateIndex(String key,long index,Object value){
redisTemplate.opsForList().set(key,index,value);
// 移除N个值为value
public long lRemove(String key,long count,Object value){
Long remove=redisTemplate.opsForList().remove(key,count,value);
return remove;
}
3.4 Service层
1)UserService接口类
public interface UserService {
public List<User> getAllUsers();
public void updateUserAge();
}
2)接口实现类
@Service("userService")
public class UserServiceImpl implements UserService {
@Resource
private UserMapper userMapper;
@Autowired
private RedisUtil redisUtil;
@Override
public List<User> getAllUsers() {
List<User> users=(List<User>)redisUtil
.get(RedisConstant.ALL_USER_KEY);
if(CollectionUtils.isEmpty(users)){
users=userMapper.getAllUsers();
redisUtil.set(RedisConstant.ALL_USER_KEY,users);
}
return users;
}
@Transactional
public void updateUserAge() {
redisUtil.del(RedisConstant.ALL_USER_KEY);
userMapper.updateUserAgeById(1);
userMapper.updateUserAgeById(2);
}
3.5 Controller层
@Controller
public class UserController {
@Autowired
private UserService userService;
@RequestMapping("/getAll")
@ResponseBody
public List<User> getUsers(){
return userService.getAllUsers();
}
@RequestMapping("/update")
@ResponseBody
public int updateUser(){
userService.updateUserAge();
return 1;
}
}
四、单元测试
4.1 Respository和Service层单元测试
@SpringBootTest
class SpringbootMysqlRedisApplicationTests {
@Autowired
private UserMapper userMapper;
private UserService userService;
@Test
void testUserMapper(){
userMapper.updateUserAgeById(1);
List<User> users=userMapper.getAllUsers();
for(User user:users){
System.out.println(user);
}
}
void testUserService(){
userService.updateUserAge();
List<User> users=userService.getAllUsers();
}
4.2 Controller层接口测试
到此这篇关于SpringBoot整合Mysql、Redis的文章就介绍到这了,更多相关SpringBoot整合Mysql、Redis内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网!