CREATE TABLE `t\_user\_points` (
`id` int(11) NOT NULL AUTO\_INCREMENT,
`fk\_user\_id` int(11) DEFAULT NULL COMMENT '用户id',
`points` int(11) DEFAULT NULL COMMENT '积分',
`types` int(11) DEFAULT NULL COMMENT '积分类型:0=签到,1=关注好友,2=添加评论,3=点赞商户',
`is\_valid` int(11) DEFAULT NULL COMMENT '是否有效 1=有效,0=无效',
`create\_date` datetime DEFAULT NULL COMMENT '创建时间',
`update\_date` datetime DEFAULT NULL COMMENT '更新时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci ROW_FORMAT=COMPACT;
创建 ms-points 积分微服务
pom文件引入相关依赖:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>redis-seckill</artifactId>
<groupId>com.zjq</groupId>
<version>1.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>ms-points</artifactId>
<dependencies>
<!-- eureka client -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
<!-- spring web -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- mysql -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<!-- spring data redis -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!-- mybatis -->
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
</dependency>
<!-- commons 公共项目 -->
<dependency>
<groupId>com.zjq</groupId>
<artifactId>commons</artifactId>
<version>1.0-SNAPSHOT</version>
</dependency>
<!-- test 单元测试 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
</project>
yml配置文件:
server:
port: 7006 # 端口
spring:
application:
name: ms-points # 应用名
# 数据库
# 数据库
datasource:
driver-class-name: com.mysql.cj.jdbc.Driver
username: root
password: root
url: jdbc:mysql://127.0.0.1:3306/seckill?serverTimezone=Asia/Shanghai&characterEncoding=utf8&useUnicode=true&useSSL=false
# Redis
redis:
port: 6379
host: localhost
timeout: 3000
password: 123456
database: 2
# Swagger
swagger:
base-package: com.zjq.points
title: 积分功能微服务API接口文档
# 配置 Eureka Server 注册中心
eureka:
instance:
prefer-ip-address: true
instance-id: ${spring.cloud.client.ip-address}:${server.port}
client:
service-url:
defaultZone: http://localhost:7000/eureka/
service:
name:
ms-oauth-server: http://ms-oauth2-server/
ms-users-server: http://ms-users/
mybatis:
configuration:
map-underscore-to-camel-case: true # 开启驼峰映射
logging:
pattern:
console: '%d{HH:mm:ss} [%thread] %-5level %logger{50} - %msg%n'
REST请求配置类和Redis配置类和全局异常处理:
RestTemplate 配置类:
package com.zjq.points.config;
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.http.MediaType;
import org.springframework.http.converter.json.MappingJackson2HttpMessageConverter;
import org.springframework.web.client.RestTemplate;
import java.util.Collections;
/\*\*
\* RestTemplate 配置类
\* @author zjq
\*
\*/
@Configuration
public class RestTemplateConfiguration {
@LoadBalanced
@Bean
public RestTemplate restTemplate() {
RestTemplate restTemplate = new RestTemplate();
MappingJackson2HttpMessageConverter converter = new MappingJackson2HttpMessageConverter();
converter.setSupportedMediaTypes(Collections.singletonList(MediaType.TEXT\_PLAIN));
restTemplate.getMessageConverters().add(converter);
return restTemplate;
}
}
RedisTemplate配置类:
package com.zjq.points.config;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
/\*\*
\* RedisTemplate配置类
\*
\* @author zjq
\*/
@Configuration
public class RedisTemplateConfiguration {
/\*\*
\* redisTemplate 序列化使用的jdkSerializeable, 存储二进制字节码, 所以自定义序列化类
\*
\* @param redisConnectionFactory
\* @return
\*/
@Bean
public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(redisConnectionFactory);
// 使用Jackson2JsonRedisSerialize 替换默认序列化
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
// 设置key和value的序列化规则
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
}
新增用户积分功能
用户积分实体
/\*\*
\* 用户积分实体
\* @author zjq
\*/
@Getter
@Setter
public class UserPoints extends BaseModel {
@ApiModelProperty("关联userId")
private Integer fkUserId;
@ApiModelProperty("积分")
private Integer points;
@ApiModelProperty(name = "类型",example = "0=签到,1=关注好友,2=添加Feed,3=添加商户评论")
private Integer types;
}
积分控制层
/\*\*
\* 添加积分
\*
\* @param userId 用户ID
\* @param points 积分
\* @param types 类型 0=签到,1=关注好友,2=添加Feed,3=添加商户评论
\* @return
\*/
@PostMapping
public ResultInfo<Integer> addPoints(@RequestParam(required = false) Integer userId,
@RequestParam(required = false) Integer points,
@RequestParam(required = false) Integer types) {
userPointsService.addPoints(userId, points, types);
return ResultInfoUtil.buildSuccess(request.getServletPath(), points);
}
积分业务逻辑层
/\*\*
\* 添加积分
\*
\* @param userId 用户ID
\* @param points 积分
\* @param types 类型 0=签到,1=关注好友,2=添加Feed,3=添加商户评论
\*/
@Transactional(rollbackFor = Exception.class)
public void addPoints(Integer userId, Integer points, Integer types) {
// 基本参数校验
AssertUtil.isTrue(userId == null || userId < 1, "用户不能为空");
AssertUtil.isTrue(points == null || points < 1, "积分不能为空");
AssertUtil.isTrue(types == null, "请选择对应的积分类型");
// 插入数据库
UserPoints userPoints = new UserPoints();
userPoints.setFkUserId(userId);
userPoints.setPoints(points);
userPoints.setTypes(types);
userPointsMapper.save(userPoints);
}
数据交互mapper层
/\*\*
\* 添加积分
\* @param userPoints 用户积分实体
\*/
@Insert("insert into t\_user\_points (fk\_user\_id, points, types, is\_valid, create\_date, update\_date) " +
" values (#{fkUserId}, #{points}, #{types}, 1, now(), now())")
void save(UserPoints userPoints);
网关 ms-gateway 服务添加积分微服务路由
spring:
application:
name: ms-gateway
cloud:
gateway:
discovery:
locator:
enabled: true # 开启配置注册中心进行路由功能
lower-case-service-id: true # 将服务名称转小写
routes:
# 积分服务路由
- id: ms-points
uri: lb://ms-points
predicates:
- Path=/points/\*\*
filters:
- StripPrefix=1
用户服务中添加用户积分逻辑
在用户服务中添加 ms-points 服务的地址:
service:
name:
# oauth2 服务地址
ms-oauth-server: http://ms-oauth2-server/
# 积分服务地址
ms-points-server: http://ms-points/
积分类型枚举 :
/\*\*
\* 积分类型
\* @author zjq
\*/
@Getter
public enum PointTypesConstant {
sign(0),
follow(1),
feed(2),
review(3)
;
private int type;
PointTypesConstant(int key) {
this.type = key;
}
}
签到业务逻辑层调整,增加签到后积分变动:
/\*\*
\* 添加用户积分
\*
\* @param count 连续签到次数
\* @param signInUserId 登录用户id
\* @return 获取的积分
\*/
private int addPoints(int count, Integer signInUserId) {
// 签到1天送10积分,连续签到2天送20积分,3天送30积分,4天以上均送50积分
int points = 10;
if (count == 2) {
points = 20;
} else if (count == 3) {
points = 30;
} else if (count >= 4) {
points = 50;
}
// 调用积分接口添加积分
// 构建请求头
HttpHeaders headers = new HttpHeaders();
headers.setContentType(MediaType.APPLICATION\_FORM\_URLENCODED);
// 构建请求体(请求参数)
MultiValueMap<String, Object> body = new LinkedMultiValueMap<>();
body.add("userId", signInUserId);
body.add("points", points);
body.add("types", PointTypesConstant.sign.getType());
HttpEntity<MultiValueMap<String, Object>> entity = new HttpEntity<>(body, headers);
// 发送请求
ResponseEntity<ResultInfo> result = restTemplate.postForEntity(pointsServerName,
entity, ResultInfo.class);
AssertUtil.isTrue(result.getStatusCode() != HttpStatus.OK, "登录失败!");
ResultInfo resultInfo = result.getBody();
if (resultInfo.getCode() != ApiConstant.SUCCESS\_CODE) {
// 失败了, 事物要进行回滚
throw new ParameterException(resultInfo.getCode(), resultInfo.getMessage());
}
return points;
}
项目测试
id为6的用户发起签到:
查看数据库和redis可以发现用户积分已经增加:
积分排行榜TopN(关系型数据库)
- 读取数据库中积分,排行榜取TopN,显示字段有:用户id、用户昵称、头像、总积分以及排行榜
- 需要标记当前登录用户的排行情况
构造数据
通过如下方法,初始化两万条积分和用户记录:
// 初始化 2W 条积分记录
@Test
void addPoints() throws Exception {
List<Map<Integer, Integer[]>> dinerInfos = Lists.newArrayList();
for (int i = 1; i <= 2000; i++) {
for (int j = 0; j < 10; j++) {
super.mockMvc.perform(MockMvcRequestBuilders.post("/")
.contentType(MediaType.APPLICATION\_FORM\_URLENCODED)
.param("userId", i + "")
.param("points", RandomUtil.randomNumbers(2))
.param("types", "0")
).andExpect(MockMvcResultMatchers.status().isOk()).andReturn();
}
}
}
其实这个类似于一张日志表,因此数据量是非常庞大的,当我们想要统计用户积分做排行榜的的时候,比如:获取积分排行榜Top20,显示字段有:用户id、用户昵称、头像、总积分以及排行榜
获取积分排行榜TOP20:
SELECT
t1.fk_user_id AS id,
sum( t1.points ) AS total,
rank() over (ORDER BY sum( t1.points ) DESC) AS ranks,
t2.nickname,
t2.avatar_url
FROM
t_user_points t1
LEFT JOIN t_users t2 ON t1.fk_user_id = t2.id
WHERE
t1.is_valid = 1
AND t2.is_valid = 1
GROUP BY
t1.fk_user_id
ORDER BY
total DESC
LIMIT 20
获取当前登录用户的排行情况:
SELECT id, total, ranks, nickname, avatar_url FROM (
SELECT t1.fk_user_id AS id,
sum( t1.points ) AS total,
rank () over ( ORDER BY sum( t1.points ) DESC ) AS ranks,
t2.nickname, t2.avatar_url
FROM t_user_points t1 LEFT JOIN t_users t2 ON t1.fk_user_id = t2.id
WHERE t1.is_valid = 1 AND t2.is_valid = 1
GROUP BY t1.fk_user_id
ORDER BY total DESC ) r
WHERE id = '6';
这种方式看上去比较简单,如果数据量小的话运行应该也没有什么大问题,但如果当数据量超过一定量以后,就会出现很大的延迟,毕竟MySQL查询是要消耗大量的IO的。我们后面可以测试一下。
用户积分排名对象
/\*\*
\* 用户积分总排行榜
\* @author zjq
\*/
@ApiModel(description = "用户积分总排行榜")
@Getter
@Setter
public class UserPointsRankVO extends ShortUserInfo {
@ApiModelProperty("总积分")
private Integer total;


**网上学习资料一大堆,但如果学到的知识不成体系,遇到问题时只是浅尝辄止,不再深入研究,那么很难做到真正的技术提升。**
**[需要这份系统化资料的朋友,可以戳这里获取](https://gitee.com/vip204888)**
**一个人可以走的很快,但一群人才能走的更远!不论你是正从事IT行业的老鸟或是对IT行业感兴趣的新人,都欢迎加入我们的的圈子(技术交流、学习资源、职场吐槽、大厂内推、面试辅导),让我们一起学习成长!**