瑞吉外卖开发总结（全功能实现）
技术栈
项目部署
简历上可写的点
-
集中处理系统异常，自定义统一的错误码, 并封装了全局异常处理器，屏蔽了项目冗余的报错细节、便于接口调用方理解和统一处理。
-
基于静态
ThreadLocal封装了线程隔离的全局上下文对象，便于在请求内部存取用户信息，减少用户远程查询次数。 -
为兼容请求参数date类型的序列化，定义Jackson对象映射器处理日期;并扩展
SpringMVC的消息转换器，实现自动序列化。 -
自定义
MyBatis Plus的MetaObjectHandle,配合全局上下文实现写数据前的创建时间、用户id字段的自动填充。 -
遵循Restful设计规范编写接口,降低前后端接口沟通和理解成本。
-
为解决原胜Jdk例化器导致的缓存key乱码问题，自定义
RedisTemplate Bean的Redis Key列化器为StringRedisSerializer. -
使用Knife4j + Swagger自动生成后端接口文档,并通过编写ApiOperation等注解补充接口注释,避免了人工编写维护文档的麻烦。
-
为省复编写用户校验的麻烦,基于WebFilter实现全局登录校验;通过AntPathMatcher匹配动态请求路径,实现灵活的可选鉴权。
-
为保证数据的完整性和一致性,使佣
@Transactional实现数据库事务,并配置rollbackFor = Exception.class支持受检异常的事务回滚。 -
为提高XX信息页加载速度,基于Spring Cache注解+ Redis 实现对XX信息的自动缓存，大幅降低数据库压力的同时将接口响应耗时由0.8s减少至50ms (数值自己再测一下)
-
为降低开发成本,使佣
MyBatis Plus框架自动生成业务的增删改查重复代码,并使用LambdaQueryWrapper实现更灵活地自定义查询。 -
为降低用户注册成本、保证用户真实性,二次封装XX云SDK接入短信服务,并通过Redis来集中缓存验证码,防止单手机号的重复发送。
-
为提高数据库整体读写性能，配置MySQL主从同步，并使用
sharding-jdbc实现业务无侵入的读写分离。 -
封装全局Axios请求实例，添加全局请求拦截和全局异常响应处理器，减少重复的状态码判断、提升项目可维护性。
关于项目
pom.xml
<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">
<modelVersion>4.0.0modelVersion>
<parent>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-parentartifactId>
<version>2.4.5version>
<relativePath/>
parent>
<groupId>com.xzgroupId>
<artifactId>angong_takeoutartifactId>
<version>1.0-SNAPSHOTversion>
<properties>
<maven.compiler.source>8maven.compiler.source>
<maven.compiler.target>8maven.compiler.target>
properties>
<dependencies>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starterartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-testartifactId>
<scope>testscope>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-webartifactId>
<scope>compilescope>
dependency>
<dependency>
<groupId>com.baomidougroupId>
<artifactId>mybatis-plus-boot-starterartifactId>
<version>3.4.2version>
dependency>
<dependency>
<groupId>org.projectlombokgroupId>
<artifactId>lombokartifactId>
<version>1.18.20version>
dependency>
<dependency>
<groupId>com.alibabagroupId>
<artifactId>fastjsonartifactId>
<version>1.2.76version>
dependency>
<dependency>
<groupId>commons-langgroupId>
<artifactId>commons-langartifactId>
<version>2.6version>
dependency>
<dependency>
<groupId>mysqlgroupId>
<artifactId>mysql-connector-javaartifactId>
<scope>runtimescope>
dependency>
<dependency>
<groupId>com.alibabagroupId>
<artifactId>druid-spring-boot-starterartifactId>
<version>1.1.23version>
dependency>
<dependency>
<groupId>org.jetbrainsgroupId>
<artifactId>annotationsartifactId>
<version>RELEASEversion>
<scope>compilescope>
dependency>
<dependency>
<groupId>com.aliyungroupId>
<artifactId>aliyun-java-sdk-coreartifactId>
<version>4.5.16version>
dependency>
<dependency>
<groupId>com.aliyungroupId>
<artifactId>aliyun-java-sdk-dysmsapiartifactId>
<version>2.1.0version>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-data-redisartifactId>
dependency>
<dependency>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-starter-cacheartifactId>
dependency>
dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.bootgroupId>
<artifactId>spring-boot-maven-pluginartifactId>
<version>2.4.5version>
plugin>
plugins>
build>
project>
application.yml
server:
port: 8080
spring:
application:
name: angong_takeout
datasource:
druid:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/angong?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull&useSSL=false&allowPublicKeyRetrieval=true
username: root
password: root
mybatis-plus:
configuration:
#在映射实体或者属性时，将数据库中表名和字段名中的下划线去掉,按照驼峰命名法映射
map-underscore-to-camel-case: true
log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
global-config:
db-config:
id-type: ASSIGN_ID
angong-pic:
path: D:\img\
数据库设计
字段及含义
- address_book（地址簿，指的是移动端消费者用户的地址信息，用户登录成功后可以维护自己的地址信息。同一个用户可以有多个地址信息，但是只能有一个默认地址。）
- category(分类，name（Unique，唯一索引），type字段：1为菜品分类，2为套餐分类)
- dish（菜品）
- dish_flavor（菜品口味）
- employee（员工表，username（Unique，唯一索引），status（状态默认为1【正常】，0为【禁用】）。登陆时查询，password进行MD5加密。）
- order_detail（订单明细）
- orders（订单）
- setmeal（套餐）
- setmeal_dish（套餐菜品关系）
- shopping_cart（购物车）
- user（用户信息）
表结构
/*
Navicat Premium Data Transfer
Source Server : root
Source Server Type : MySQL
Source Server Version : 50719
Source Host : localhost:3306
Source Schema : angong
Target Server Type : MySQL
Target Server Version : 50719
File Encoding : 65001
Date: 14/04/2023 14:31:56
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for address_book
-- ----------------------------
DROP TABLE IF EXISTS `address_book`;
CREATE TABLE `address_book` (
`id` bigint(20) NOT NULL COMMENT '主键',
`user_id` bigint(20) NOT NULL COMMENT '用户id',
`consignee` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '收货人',
`sex` tinyint(4) NOT NULL COMMENT '性别 0 女 1 男',
`phone` varchar(11) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '手机号',
`province_code` varchar(12) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '省级区划编号',
`province_name` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '省级名称',
`city_code` varchar(12) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '市级区划编号',
`city_name` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '市级名称',
`district_code` varchar(12) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '区级区划编号',
`district_name` varchar(32) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '区级名称',
`detail` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '详细地址',
`label` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '标签',
`is_default` tinyint(1) NOT NULL DEFAULT 0 COMMENT '默认 0 否 1是',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
`is_deleted` int(11) NOT NULL DEFAULT 0 COMMENT '是否删除',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '地址管理' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for category
-- ----------------------------
DROP TABLE IF EXISTS `category`;
CREATE TABLE `category` (
`id` bigint(20) NOT NULL COMMENT '主键',
`type` int(11) NULL DEFAULT NULL COMMENT '类型 1 菜品分类 2 套餐分类',
`name` varchar(64) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '分类名称',
`sort` int(11) NOT NULL DEFAULT 0 COMMENT '顺序',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
PRIMARY KEY (`id`) USING BTREE,
UNIQUE INDEX `idx_category_name`(`name`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '菜品及套餐分类' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for dish
-- ----------------------------
DROP TABLE IF EXISTS `dish`;
CREATE TABLE `dish` (
`id` bigint(20) NOT NULL COMMENT '主键',
`name` varchar(64) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '菜品名称',
`category_id` bigint(20) NOT NULL COMMENT '菜品分类id',
`price` decimal(10, 2) NULL DEFAULT NULL COMMENT '菜品价格',
`code` varchar(64) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '商品码',
`image` varchar(200) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '图片',
`description` varchar(400) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '描述信息',
`status` int(11) NOT NULL DEFAULT 1 COMMENT '0 停售 1 起售',
`sort` int(11) NOT NULL DEFAULT 0 COMMENT '顺序',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
`is_deleted` int(11) NOT NULL DEFAULT 0 COMMENT '是否删除',
PRIMARY KEY (`id`) USING BTREE,
UNIQUE INDEX `idx_dish_name`(`name`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '菜品管理' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for dish_flavor
-- ----------------------------
DROP TABLE IF EXISTS `dish_flavor`;
CREATE TABLE `dish_flavor` (
`id` bigint(20) NOT NULL COMMENT '主键',
`dish_id` bigint(20) NOT NULL COMMENT '菜品',
`name` varchar(64) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '口味名称',
`value` varchar(500) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '口味数据list',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
`is_deleted` int(11) NOT NULL DEFAULT 0 COMMENT '是否删除',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '菜品口味关系表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for employee
-- ----------------------------
DROP TABLE IF EXISTS `employee`;
CREATE TABLE `employee` (
`id` bigint(20) NOT NULL COMMENT '主键',
`name` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '姓名',
`username` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '用户名',
`password` varchar(64) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '密码',
`phone` varchar(11) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '手机号',
`sex` varchar(2) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '性别',
`id_number` varchar(18) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '身份证号',
`status` int(11) NOT NULL DEFAULT 1 COMMENT '状态 0:禁用，1:正常',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
PRIMARY KEY (`id`) USING BTREE,
UNIQUE INDEX `idx_username`(`username`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '员工信息' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for order_detail
-- ----------------------------
DROP TABLE IF EXISTS `order_detail`;
CREATE TABLE `order_detail` (
`id` bigint(20) NOT NULL COMMENT '主键',
`name` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '名字',
`image` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '图片',
`order_id` bigint(20) NOT NULL COMMENT '订单id',
`dish_id` bigint(20) NULL DEFAULT NULL COMMENT '菜品id',
`setmeal_id` bigint(20) NULL DEFAULT NULL COMMENT '套餐id',
`dish_flavor` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '口味',
`number` int(11) NOT NULL DEFAULT 1 COMMENT '数量',
`amount` decimal(10, 2) NOT NULL COMMENT '金额',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '订单明细表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for orders
-- ----------------------------
DROP TABLE IF EXISTS `orders`;
CREATE TABLE `orders` (
`id` bigint(20) NOT NULL COMMENT '主键',
`number` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '订单号',
`status` int(11) NOT NULL DEFAULT 1 COMMENT '订单状态 1待付款，2待派送，3已派送，4已完成，5已取消',
`user_id` bigint(20) NOT NULL COMMENT '下单用户',
`address_book_id` bigint(20) NOT NULL COMMENT '地址id',
`order_time` datetime NOT NULL COMMENT '下单时间',
`checkout_time` datetime NOT NULL COMMENT '结账时间',
`pay_method` int(11) NOT NULL DEFAULT 1 COMMENT '支付方式 1微信,2支付宝',
`amount` decimal(10, 2) NOT NULL COMMENT '实收金额',
`remark` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '备注',
`phone` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL,
`address` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL,
`user_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL,
`consignee` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '订单表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for setmeal
-- ----------------------------
DROP TABLE IF EXISTS `setmeal`;
CREATE TABLE `setmeal` (
`id` bigint(20) NOT NULL COMMENT '主键',
`category_id` bigint(20) NOT NULL COMMENT '菜品分类id',
`name` varchar(64) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '套餐名称',
`price` decimal(10, 2) NOT NULL COMMENT '套餐价格',
`status` int(11) NULL DEFAULT NULL COMMENT '状态 0:停用 1:启用',
`code` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '编码',
`description` varchar(512) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '描述信息',
`image` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '图片',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
`is_deleted` int(11) NOT NULL DEFAULT 0 COMMENT '是否删除',
PRIMARY KEY (`id`) USING BTREE,
UNIQUE INDEX `idx_setmeal_name`(`name`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '套餐' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for setmeal_dish
-- ----------------------------
DROP TABLE IF EXISTS `setmeal_dish`;
CREATE TABLE `setmeal_dish` (
`id` bigint(20) NOT NULL COMMENT '主键',
`setmeal_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '套餐id ',
`dish_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '菜品id',
`name` varchar(32) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '菜品名称 （冗余字段）',
`price` decimal(10, 2) NULL DEFAULT NULL COMMENT '菜品原价（冗余字段）',
`copies` int(11) NOT NULL COMMENT '份数',
`sort` int(11) NOT NULL DEFAULT 0 COMMENT '排序',
`create_time` datetime NOT NULL COMMENT '创建时间',
`update_time` datetime NOT NULL COMMENT '更新时间',
`create_user` bigint(20) NOT NULL COMMENT '创建人',
`update_user` bigint(20) NOT NULL COMMENT '修改人',
`is_deleted` int(11) NOT NULL DEFAULT 0 COMMENT '是否删除',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '套餐菜品关系' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for shopping_cart
-- ----------------------------
DROP TABLE IF EXISTS `shopping_cart`;
CREATE TABLE `shopping_cart` (
`id` bigint(20) NOT NULL COMMENT '主键',
`name` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '名称',
`image` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '图片',
`user_id` bigint(20) NOT NULL COMMENT '主键',
`dish_id` bigint(20) NULL DEFAULT NULL COMMENT '菜品id',
`setmeal_id` bigint(20) NULL DEFAULT NULL COMMENT '套餐id',
`dish_flavor` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '口味',
`number` int(11) NOT NULL DEFAULT 1 COMMENT '数量',
`amount` decimal(10, 2) NOT NULL COMMENT '金额',
`create_time` datetime NULL DEFAULT NULL COMMENT '创建时间',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '购物车' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for user
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` bigint(20) NOT NULL COMMENT '主键',
`name` varchar(50) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '姓名',
`phone` varchar(100) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL COMMENT '手机号',
`sex` varchar(2) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '性别',
`id_number` varchar(18) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '身份证号',
`avatar` varchar(500) CHARACTER SET utf8 COLLATE utf8_bin NULL DEFAULT NULL COMMENT '头像',
`status` int(11) NULL DEFAULT 0 COMMENT '状态 0:禁用，1:正常',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_bin COMMENT = '用户信息' ROW_FORMAT = Dynamic;
SET FOREIGN_KEY_CHECKS = 1;
项目文件结构/命名
- common（通用包）
- config（配置）
- filter（拦截类）
返回结果类（R.java）
package com.xz.angong.common;
import lombok.Data;
import java.util.HashMap;
import java.util.Map;
@Data
public class R<T> {
private Integer code; //编码：1成功，0和其它数字为失败
private String msg; //错误信息
private T data; //数据
private Map map = new HashMap(); //动态数据
public static <T> R<T> success(T object) {
R<T> r = new R<T>();
r.data = object;
r.code = 1;
return r;
}
public static <T> R<T> error(String msg) {
R r = new R();
r.msg = msg;
r.code = 0;
return r;
}
public R<T> add(String key, Object value) {
this.map.put(key, value);
return this;
}
}
private T data; //数据
- 这里使用泛型，增加数据可用性，可以传各种对象进去
业务功能开发
登陆&退出
后台登陆功能
- 登录功能还进行了超时管理（超过10s登陆超时）
后台退出功能
员工管理业务开发
-
针对员工实体（employee表）进行操作
-
添加员工（前端进行电话和身份证校验，新增员工添加初始密码：123456，后面可以自行登录修改）
-
分页查询（用MP实现,添加配置，写处理逻辑）
/** * 分页展示 * * @param page * @param pageSize * @param name * @return */ @GetMapping("/page") public R<Page> page(int page, int pageSize, String name) { // log.info("page: {}, pageSize: {}, name: {}", page, pageSize, name); //分页构造器 Page<Employee> pageInfo = new Page(page, pageSize); //条件构造器 LambdaQueryWrapper<Employee> queryWrapper = new LambdaQueryWrapper<>(); queryWrapper.like(StringUtils.isNotEmpty(name), Employee::getName, name); queryWrapper.orderByDesc(Employee::getUpdateTime); //执行查询 employeeService.page(pageInfo, queryWrapper); return R.success(pageInfo); } -
编辑（对已有员工进行修改操作）/ 启用（禁用）
- 与后端进行两次交互
- 根据员工id查询员工信息并回显到前端页面
- 点击【保存】按钮将页面中员工信息提交给后端，并进行数据库修改
- 与后端进行两次交互
分类管理业务开发
- 新增分类
- 分类信息分页查询
- 删除分类
- 修改分类
菜品管理业务开发==[包含文件上传下载]==
-
文件上传（upload）下载（download）
-
上传（upload）
@Value("${angong-pic.path}") private String basePath; /** * 文件上传 * * @param file * @return */ @PostMapping("/upload") public R<String> upload(MultipartFile file/* 这里file不能随便起，必须与前端form表单的name保持一致 */) { //file是一个临时文件，需要转存到指定位置，否则本次请求完成后临时文件会删除 log.info(String.valueOf(file)); //原始文件名 String originalFilename = file.getOriginalFilename(); String suffix = originalFilename.substring(originalFilename.lastIndexOf(".")); //使用UUID重新生成文件名，防止文件名称重复造成文件覆盖 String filename = UUID.randomUUID().toString() + suffix; //创建一个目录对象 File dir = new File(basePath); //判断是否存在 if (!dir.exists()) { dir.mkdirs(); } try { //将临时文件转存到指定位置 file.transferTo(new File(basePath + filename)); } catch (IOException e) { e.printStackTrace(); } return R.success(filename); } -
下载（download）
@Value("${angong-pic.path}") private String basePath; /** * 文件下载 * * @param name * @param response */ @GetMapping("/download") public void download(String name, HttpServletResponse response) { FileInputStream fileInputStream = null; ServletOutputStream outputStream = null; try { //通过输入流读取文件内容 fileInputStream = new FileInputStream(new File(basePath + name)); //通过输出流将文件写回浏览器，在浏览器展示图片 outputStream = response.getOutputStream(); response.setContentType("image/jpeg"); int len = 0; byte[] bytes = new byte[1024]; while ((len = fileInputStream.read(bytes)) != -1) { outputStream.write(bytes, 0, len); outputStream.flush(); } } catch (Exception e) { e.printStackTrace(); } finally { try { fileInputStream.close(); outputStream.close(); } catch (IOException e) { e.printStackTrace(); } } }
-
-
新增菜品（利用Dto实现，DishDto：包含菜品以及口味字段）
-
菜品信息分页查询（因页面需要除dish以外的其他字段，例如categoryName等，利用Dto实现）
-
修改菜品（多表操作，更新dish表，修改dish_flavor表【先删除后添加】）
套餐管理业务开发
- 新增套餐（setmeal和setmeal_dish）
- 套餐信息分页查询
- 删除套餐(对于状态为售卖中的套餐不能删除，需要先停售，然后才能删除。支持批量删除)
手机验证码登录
package com.xz.angong.controller;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.xz.angong.common.R;
import com.xz.angong.entity.User;
import com.xz.angong.service.UserService;
import com.xz.angong.utils.ValidateCodeUtils;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
//import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.servlet.http.HttpSession;
import java.util.Map;
import java.util.concurrent.TimeUnit;
/**
* @author 许正
* @version 1.0
*/
@RestController
@Slf4j
@RequestMapping("/user")
public class UserController {
@Autowired
private UserService userService;
// @Autowired
// private RedisTemplate redisTemplate;
/**
* 发送手机短信验证码
*
* @param user
* @return
*/
@PostMapping("/sendMsg")
public R<String> sendMsg(@RequestBody User user, HttpSession session) {
//获取手机号
String phone = user.getPhone();
if (StringUtils.isNotEmpty(phone)) {
//生成随机的4位验证码
String code = ValidateCodeUtils.generateValidateCode(4).toString();
log.info("手机验证码 code: {}", code);
//调用API发送短信
//需填入 signName, templateCode 即可使用
//SMSUtils.sendMessage("安工外卖--许正", "", phone, code);
//需要将生成的验证码保存到Session
session.setAttribute(phone, code);
// //将生成的验证码缓存到Redis中, 并且设置有效期为5分钟
// redisTemplate.opsForValue().set(phone, code, 5, TimeUnit.MINUTES);
return R.success("手机验证码短信发送成功");
}
return R.error("短信发送失败");
}
/**
* 移动端登录
*
* @param map
* @param session
* @return
*/
@PostMapping("/login")
public R<User> login(@RequestBody Map map, HttpSession session) {
log.info(map.toString());
//获取手机号
String phone = map.get("phone").toString();
//获取验证码
String code = map.get("code").toString();
//从Session中获取保存的验证码
Object codeInSession = session.getAttribute(phone);
// //使用缓存
// Object codeInSession = redisTemplate.opsForValue().get(phone);
//进行验证码的比对(页面提交的验证码和Session中保存的验证码比对)
if (codeInSession != null && codeInSession.equals(code)) {
//如果能够比对成功，说明登录成功
LambdaQueryWrapper<User> userLambdaQueryWrapper = new LambdaQueryWrapper<>();
userLambdaQueryWrapper.eq(User::getPhone, phone);
User user = userService.getOne(userLambdaQueryWrapper);
if (user == null) {
//判断当前手机号对应的用户是否为新用户，如果是新用户就自动完成注册
user = new User();
user.setPhone(phone);
user.setStatus(1);
userService.save(user);
}
session.setAttribute("user", user.getId());
// //如果用户登陆成功, 删除Redis中缓存的验证码
// redisTemplate.delete(phone);
return R.success(user);
}
return R.error("登陆失败");
}
}
地址簿增删改查
package com.xz.angong.controller;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.conditions.update.LambdaUpdateWrapper;
import com.xz.angong.common.BaseContext;
import com.xz.angong.common.R;
import com.xz.angong.entity.AddressBook;
import com.xz.angong.service.AddressBookService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.util.List;
/**
* 地址簿管理
*/
@Slf4j
@RestController
@RequestMapping("/addressBook")
public class AddressBookController {
@Autowired
private AddressBookService addressBookService;
/**
* 新增
*
* @param addressBook
* @return
*/
@PostMapping
public R<AddressBook> save(@RequestBody AddressBook addressBook) {
addressBook.setUserId(BaseContext.getCurrentId());
log.info("addressBook: {}", addressBook);
addressBookService.save(addressBook);
return R.success(addressBook);
}
/**
* 设置默认地址
*
* @param addressBook
* @return
*/
@PutMapping("default")
public R<AddressBook> setDefault(@RequestBody AddressBook addressBook) {
log.info("addressBook:{}", addressBook);
LambdaUpdateWrapper<AddressBook> addressBookLambdaUpdateWrapper = new LambdaUpdateWrapper<>();
addressBookLambdaUpdateWrapper.eq(AddressBook::getUserId, BaseContext.getCurrentId());
addressBookLambdaUpdateWrapper.set(AddressBook::getIsDefault, 0);
//SQL:update address_book set is_default = 0 where user_id = ?
addressBookService.update(addressBookLambdaUpdateWrapper);
addressBook.setIsDefault(1);
//SQL:update address_book set is_default = 1 where id = ?
addressBookService.updateById(addressBook);
return R.success(addressBook);
}
/**
* 根据id查询地址
*
* @param id
* @return
*/
@GetMapping("/{id}")
public R get(@PathVariable Long id) {
AddressBook addressBook = addressBookService.getById(id);
if (addressBook != null) {
return R.success(addressBook);
} else {
return R.error("没有找到该对象");
}
}
/**
* 查询默认地址
*
* @return
*/
@GetMapping("default")
public R<AddressBook> getDefault() {
LambdaQueryWrapper<AddressBook> addressBookLambdaQueryWrapper = new LambdaQueryWrapper<>();
addressBookLambdaQueryWrapper.eq(AddressBook::getUserId, BaseContext.getCurrentId());
addressBookLambdaQueryWrapper.eq(AddressBook::getIsDefault, 1);
//SQL:select * from address_book where user_id = ? and is_default = 1
AddressBook addressBook = addressBookService.getOne(addressBookLambdaQueryWrapper);
if (null == addressBook) {
return R.error("没有找到该对象");
} else {
return R.success(addressBook);
}
}
/**
* 查询指定用户的全部地址
*
* @param addressBook
* @return
*/
@GetMapping("/list")
public R<List<AddressBook>> list(AddressBook addressBook) {
addressBook.setUserId(BaseContext.getCurrentId());
log.info("addressBook:{}", addressBook);
//条件构造器
LambdaQueryWrapper<AddressBook> addressBookLambdaQueryWrapper = new LambdaQueryWrapper<>();
addressBookLambdaQueryWrapper.eq(null != addressBook.getUserId(), AddressBook::getUserId, addressBook.getUserId());
addressBookLambdaQueryWrapper.orderByDesc(AddressBook::getUpdateTime);
//SQL:select * from address_book where user_id = ? order by update_time desc
List<AddressBook> addressBookList = addressBookService.list(addressBookLambdaQueryWrapper);
return R.success(addressBookList);
}
}
菜品展示
/**
* 因前端需要调用list接口，但同时需要返回相应的口味信息，对list接口进行改造，返回一个DishDto对象
*
* @param dish
* @return
*/
@GetMapping("/list")
public R<List<DishDto>> list(Dish dish) {
List<DishDto> dtoList = null;
// //动态构造key
// String key = "dish_" + dish.getCategoryId() + "_" + dish.getStatus();//例:dish_1397844391040167938_1
//
// //先从Redis中获取缓存数据
// dtoList = (List) redisTemplate.opsForValue().get(key);
//
// if (dtoList != null) {
// //如果存在, 直接返回, 无需查询数据库
// return R.success(dtoList);
// }
//如果不存在, 需要查询数据库, 将查询到的菜品数据缓存到Redis中
//构造查询条件
LambdaQueryWrapper<Dish> dishLambdaQueryWrapper = new LambdaQueryWrapper<>();
dishLambdaQueryWrapper.eq(Dish::getStatus, 1).eq(dish.getCategoryId() != null, Dish::getCategoryId, dish.getCategoryId());
//添加排序条件
dishLambdaQueryWrapper.orderByAsc(Dish::getSort).orderByDesc(Dish::getUpdateTime);
List<Dish> dishList = dishService.list(dishLambdaQueryWrapper);
dtoList = dishList.stream().map((item) -> {
DishDto dishDto = new DishDto();
BeanUtils.copyProperties(item, dishDto);
Category category = categoryService.getById(item.getCategoryId());
if (category != null) {
dishDto.setCategoryName(category.getName());
}
//select * from dish_flavor where dishId = ?
LambdaQueryWrapper<DishFlavor> dishFlavorLambdaQueryWrapper = new LambdaQueryWrapper<>();
dishFlavorLambdaQueryWrapper.eq(DishFlavor::getDishId, item.getId());
List<DishFlavor> flavors = dishFlavorService.list(dishFlavorLambdaQueryWrapper);
dishDto.setFlavors(flavors);
return dishDto;
}).collect(Collectors.toList());
购物车
package com.xz.angong.controller;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.xz.angong.common.BaseContext;
import com.xz.angong.common.R;
import com.xz.angong.entity.ShoppingCart;
import com.xz.angong.service.ShoppingCartService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
import java.time.LocalDateTime;
import java.util.List;
/**
* @author 许正
* @version 1.0
*/
@RestController
@Slf4j
@RequestMapping("/shoppingCart")
public class ShoppingCartController {
@Autowired
private ShoppingCartService shoppingCartService;
/**
* 往购物车添加菜品
*
* @param shoppingCart
* @return
*/
@PostMapping("/add")
public R<ShoppingCart> add(@RequestBody ShoppingCart shoppingCart) {
log.info("购物车数据: {}", shoppingCart.toString());
//设置用户id,指定当前是哪个用户的购物车数据
shoppingCart.setUserId(BaseContext.getCurrentId());
//查询当前菜品或者套餐是否在购物车中
Long dishId = shoppingCart.getDishId();
//select * from shopping_cart where userId = ? and dish_id/setmeal_id = ?
LambdaQueryWrapper<ShoppingCart> shoppingCartLambdaQueryWrapper = new LambdaQueryWrapper<>();
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getUserId, BaseContext.getCurrentId());
if (dishId != null) {//添加的是菜品
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getDishId, shoppingCart.getDishId());
} else {//添加的是套餐
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getSetmealId, shoppingCart.getSetmealId());
}
ShoppingCart shoppingCartServiceOne = shoppingCartService.getOne(shoppingCartLambdaQueryWrapper);
if (shoppingCartServiceOne != null) {
//如果已经存在, 就在原来数量基础上加1
shoppingCartServiceOne.setNumber(shoppingCartServiceOne.getNumber() + 1);
shoppingCartService.updateById(shoppingCartServiceOne);
} else {
//如果不存在, 则添加到购物车, 数量默认就是1
shoppingCart.setNumber(1);
shoppingCart.setCreateTime(LocalDateTime.now());
shoppingCartService.save(shoppingCart);
shoppingCartServiceOne = shoppingCart;
}
return R.success(shoppingCartServiceOne);
}
/**
* 查看购物车
*
* @return
*/
@GetMapping("/list")
public R<List<ShoppingCart>> list() {
log.info("查看购物车...");
LambdaQueryWrapper<ShoppingCart> shoppingCartLambdaQueryWrapper = new LambdaQueryWrapper<>();
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getUserId, BaseContext.getCurrentId()).orderByAsc(ShoppingCart::getCreateTime);
List<ShoppingCart> cartList = shoppingCartService.list(shoppingCartLambdaQueryWrapper);
return R.success(cartList);
}
/**
* 减少已选菜品数量
*
* @param shoppingCart
* @return
*/
@PostMapping("/sub")
public R<ShoppingCart> sub(@RequestBody ShoppingCart shoppingCart) {
log.info("购物车数据: {}", shoppingCart.toString());
//设置用户id,指定当前是哪个用户的购物车数据
shoppingCart.setUserId(BaseContext.getCurrentId());
//查询当前菜品或者套餐是否在购物车中
Long dishId = shoppingCart.getDishId();
//select * from shopping_cart where userId = ? and dish_id/setmeal_id = ?
LambdaQueryWrapper<ShoppingCart> shoppingCartLambdaQueryWrapper = new LambdaQueryWrapper<>();
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getUserId, BaseContext.getCurrentId());
if (dishId != null) {//菜品
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getDishId, shoppingCart.getDishId());
} else {//套餐
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getSetmealId, shoppingCart.getSetmealId());
}
ShoppingCart shoppingCartServiceOne = shoppingCartService.getOne(shoppingCartLambdaQueryWrapper);
if (shoppingCartServiceOne.getNumber() > 1) {
//如果已经存在, 就在原来数量基础上-1
shoppingCartServiceOne.setNumber(shoppingCartServiceOne.getNumber() - 1);
shoppingCartService.updateById(shoppingCartServiceOne);
} else {
shoppingCartService.remove(shoppingCartLambdaQueryWrapper);
}
return R.success(shoppingCartServiceOne);
}
/**
* 清空购物车
*
* @return
*/
@DeleteMapping("/clean")
public R<String> clean() {
LambdaQueryWrapper<ShoppingCart> shoppingCartLambdaQueryWrapper = new LambdaQueryWrapper<>();
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getUserId, BaseContext.getCurrentId());
shoppingCartService.remove(shoppingCartLambdaQueryWrapper);
return R.success("清空购物车成功");
}
}
用户下单
注意：金额进行原子操作,保证多线程的情况下计算也是准确的
//金额进行原子操作,保证多线程的情况下计算也是准确的
AtomicInteger amount = new AtomicInteger();
//1.计算总金额 2.封装订单明细表数据
List<OrderDetail> orderDetails = shoppingCartList.stream().map((item) -> {
OrderDetail orderDetail = new OrderDetail();
orderDetail.setOrderId(orderId);
orderDetail.setNumber(item.getNumber());
orderDetail.setDishFlavor(item.getDishFlavor());
orderDetail.setDishId(item.getDishId());
orderDetail.setSetmealId(item.getSetmealId());
orderDetail.setName(item.getName());
orderDetail.setImage(item.getImage());
orderDetail.setAmount(item.getAmount());
amount.addAndGet(item.getAmount().multiply(new BigDecimal(item.getNumber())).intValue());
return orderDetail;
}).collect(Collectors.toList());
orders.setAmount(new BigDecimal(amount.get()));//总金额
OrdersServiceImpl.java
package com.xz.angong.service.impl;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.core.toolkit.IdWorker;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.xz.angong.common.BaseContext;
import com.xz.angong.common.CustomException;
import com.xz.angong.entity.*;
import com.xz.angong.mapper.OrdersMapper;
import com.xz.angong.service.*;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import java.math.BigDecimal;
import java.time.LocalDateTime;
import java.util.List;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.stream.Collectors;
/**
* @author 许正
* @version 1.0
*/
@Service
public class OrdersServiceImpl extends ServiceImpl<OrdersMapper, Orders> implements OrdersService {
@Autowired
private ShoppingCartService shoppingCartService;
@Autowired
private UserService userService;
@Autowired
private AddressBookService addressBookService;
@Autowired
private OrderDetailService orderDetailService;
/**
* 用户下单
*
* @param orders
*/
@Override
@Transactional
public void submit(Orders orders) {
//获得当前用户id
Long userId = BaseContext.getCurrentId();
//查询当前用户的购物车数据
LambdaQueryWrapper<ShoppingCart> shoppingCartLambdaQueryWrapper = new LambdaQueryWrapper<>();
shoppingCartLambdaQueryWrapper.eq(ShoppingCart::getUserId, userId);
List<ShoppingCart> shoppingCartList = shoppingCartService.list(shoppingCartLambdaQueryWrapper);
if (shoppingCartList == null || shoppingCartList.size() == 0) {
throw new CustomException("购物车为空,不能下单!");
}
//查询用户数据
User user = userService.getById(userId);
//查询地址数据
AddressBook addressBook = addressBookService.getById(orders.getAddressBookId());
if (addressBook == null) {
throw new CustomException("地址信息有误,不能下单!");
}
//向订单表插入数据, 一条数据
long orderId = IdWorker.getId();//订单号
//金额进行原子操作,保证多线程的情况下计算也是准确的
AtomicInteger amount = new AtomicInteger();
//1.计算总金额 2.封装订单明细表数据
List<OrderDetail> orderDetails = shoppingCartList.stream().map((item) -> {
OrderDetail orderDetail = new OrderDetail();
orderDetail.setOrderId(orderId);
orderDetail.setNumber(item.getNumber());//数量
orderDetail.setDishFlavor(item.getDishFlavor());
orderDetail.setDishId(item.getDishId());
orderDetail.setSetmealId(item.getSetmealId());
orderDetail.setName(item.getName());
orderDetail.setImage(item.getImage());
orderDetail.setAmount(item.getAmount());//单份金额
//累加:单价*数量(转为BigDecimal)
amount.addAndGet(item.getAmount().multiply(new BigDecimal(item.getNumber())).intValue());
return orderDetail;
}).collect(Collectors.toList());
orders.setAmount(new BigDecimal(amount.get()));//总金额
orders.setId(orderId);
orders.setOrderTime(LocalDateTime.now());//下单时间
orders.setCheckoutTime(LocalDateTime.now());//支付时间，因支付系统未开发，这里设置为系统当前时间
orders.setStatus(2);//2表示待派送
orders.setUserId(userId);
orders.setNumber(String.valueOf(orderId));
orders.setUserName(user.getName());
orders.setConsignee(addressBook.getConsignee());
orders.setPhone(addressBook.getPhone());
orders.setAddress((addressBook.getProvinceName() == null ? "" : addressBook.getProvinceName())
+ (addressBook.getCityName() == null ? "" : addressBook.getCityName())
+ (addressBook.getDistrictName() == null ? "" : addressBook.getDistrictName())
+ (addressBook.getDetail() == null ? "" : addressBook.getDetail()));
this.save(orders);
//向订单明细表插入数据, 多条数据
orderDetailService.saveBatch(orderDetails);
//清空购物车数据
shoppingCartService.remove(shoppingCartLambdaQueryWrapper);
}
}
项目优化
缓存优化
用户数量多，系统访问量大
频繁访问数据库，系统性能下降，用户体验差
优化原因：系统上线后（部署到云服务器），访问客户端获取数据特别慢，在解决的过程中，想到了用缓存解决。
缓存短信验证码
实现思路
UserController.java
package com.xz.angong.controller;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.xz.angong.common.R;
import com.xz.angong.entity.User;
import com.xz.angong.service.UserService;
import com.xz.angong.utils.ValidateCodeUtils;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.servlet.http.HttpSession;
import java.util.Map;
import java.util.concurrent.TimeUnit;
/**
* @author 许正
* @version 1.0
*/
@RestController
@Slf4j
@RequestMapping("/user")
public class UserController {
@Autowired
private UserService userService;
@Autowired
private RedisTemplate redisTemplate;
/**
* 发送手机短信验证码
*
* @param user
* @return
*/
@PostMapping("/sendMsg")
public R<String> sendMsg(@RequestBody User user, HttpSession session) {
//获取手机号
String phone = user.getPhone();
if (StringUtils.isNotEmpty(phone)) {
//生成随机的4位验证码
String code = ValidateCodeUtils.generateValidateCode(4).toString();
log.info("手机验证码 code: {}", code);
//调用API发送短信
//需填入 signName, templateCode 即可使用
//SMSUtils.sendMessage("安工外卖--by许正", "", phone, code);
// //需要将生成的验证码保存到Session
// session.setAttribute(phone, code);
//将生成的验证码缓存到Redis中, 并且设置有效期为5分钟
redisTemplate.opsForValue().set(phone, code, 5, TimeUnit.MINUTES);
return R.success("手机验证码短信发送成功");
}
return R.error("短信发送失败");
}
/**
* 移动端登录
*
* @param map
* @param session
* @return
*/
@PostMapping("/login")
public R<User> login(@RequestBody Map map, HttpSession session) {
log.info(map.toString());
//获取手机号
String phone = map.get("phone").toString();
//获取验证码
String code = map.get("code").toString();
// //从Session中获取保存的验证码
// Object codeInSession = session.getAttribute(phone);
//从Redis中获取缓存的验证码
Object codeInSession = redisTemplate.opsForValue().get(phone);
//进行验证码的比对(页面提交的验证码和Session中保存的验证码比对)
if (codeInSession != null && codeInSession.equals(code)) {
//如果能够比对成功，说明登录成功
LambdaQueryWrapper<User> userLambdaQueryWrapper = new LambdaQueryWrapper<>();
userLambdaQueryWrapper.eq(User::getPhone, phone);
User user = userService.getOne(userLambdaQueryWrapper);
if (user == null) {
//判断当前手机号对应的用户是否为新用户，如果是新用户就自动完成注册
user = new User();
user.setPhone(phone);
user.setStatus(1);
userService.save(user);
}
session.setAttribute("user", user.getId());
//如果用户登陆成功, 删除Redis中缓存的验证码
redisTemplate.delete(phone);
return R.success(user);
}
return R.error("登录失败");
}
}
缓存菜品数据(防止每次点击菜品都会查数据库)
实现思路
调用delete方法同样需要清理缓存
DishController.java
package com.xz.angong.controller;
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
import com.xz.angong.common.R;
import com.xz.angong.dto.DishDto;
import com.xz.angong.entity.Category;
import com.xz.angong.entity.Dish;
import com.xz.angong.entity.DishFlavor;
import com.xz.angong.service.CategoryService;
import com.xz.angong.service.DishFlavorService;
import com.xz.angong.service.DishService;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.jdbc.ScriptRunner;
import org.springframework.beans.BeanUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.web.bind.annotation.*;
import java.io.*;
import java.sql.Connection;
import java.sql.DriverManager;
import java.util.ArrayList;
import java.util.List;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
/**
* @author 许正
* @version 1.0
*/
@RestController
@RequestMapping("/dish")
@Slf4j
public class DishController {
@Autowired
private DishService dishService;
@Autowired
private DishFlavorService dishFlavorService;
@Autowired
private CategoryService categoryService;
@Autowired
private RedisTemplate redisTemplate;
/**
* 新增菜品
*
* @param dishDto
* @return
*/
@PostMapping
public R<String> save(@RequestBody DishDto dishDto) {
log.info(dishDto.toString());
dishService.saveWithFlavor(dishDto);
// //清理所有菜品的缓存数据
// Set keys = redisTemplate.keys("dish_*");
// redisTemplate.delete(keys);
//清理某个分类下面的菜品缓存数据
String key = "dish_" + dishDto.getCategoryId() + "_" + dishDto.getStatus();
redisTemplate.delete(key);
return R.success("添加成功");
}
/**
* 菜品信息分页查询
*
* @param page
* @param pageSize
* @param name
* @return
*/
@GetMapping("/page")
public R<Page> page(int page, int pageSize, String name) {
//得到dish的基本属性
Page<Dish> dishPage = new Page<>(page, pageSize);
LambdaQueryWrapper<Dish> queryWrapper = new LambdaQueryWrapper<>();
queryWrapper.like(name != null, Dish::getName, name)
.orderByAsc(Dish::getSort).orderByDesc(Dish::getUpdateTime);
//执行分页查询
dishService.page(dishPage, queryWrapper);
//赋给dishDto
Page<DishDto> dishDtoPage = new Page<>();
//除了“records”之外的属性进行复制
BeanUtils.copyProperties(dishPage, dishDtoPage, "records");
List<Dish> dishPageRecords = dishPage.getRecords();
List<DishDto> dishDtoList = dishPageRecords.stream().map(dish -> {
DishDto dishDto = new DishDto();
BeanUtils.copyProperties(dish, dishDto);
Category category = categoryService.getById(dish.getCategoryId());
if (category != null) {
dishDto.setCategoryName(category.getName());
}
return dishDto;
}).collect(Collectors.toList());
dishDtoPage.setRecords(dishDtoList);
return R.success(dishDtoPage);
}
/**
* 修改菜品及口味信息
*
* @param dishDto
* @return
*/
@PutMapping
public R<String> update(@RequestBody DishDto dishDto) {
dishService.updateWithFlavor(dishDto);
// //清理所有菜品的缓存数据
// Set keys = redisTemplate.keys("dish_*");
// redisTemplate.delete(keys);
//清理某个分类下面的菜品缓存数据
String key = "dish_" + dishDto.getCategoryId() + "_" + dishDto.getStatus();
redisTemplate.delete(key);
return R.success("修改菜品成功");
}
/**
* 根据id查询菜品信息和对应的口味信息
*
* @param id
* @return
*/
@GetMapping("/{id}")
public R<DishDto> get(@PathVariable Long id) {
DishDto dishDto = dishService.getByIdWithFlavor(id);
return R.success(dishDto);
}
/**
* 修改菜品售卖状态
*
* @param status
* @param ids
* @return
*/
@PostMapping("/status/{status}")
public R<String> statusWithIds(@PathVariable("status") Integer status, @RequestParam("ids") List<Long> ids) {
log.info("售卖状态：{},ids: {}", status, ids);
Dish dish = new Dish();
for (Long dishId : ids) {
dish.setId(dishId);
dish.setStatus(status);
dishService.updateById(dish);
}
return R.success("修改售卖状态成功");
}
// /**
// * 根据条件查询对应的菜品数据
// *
// * @param dish
// * @return
// */
// @GetMapping("/list")
// public R> list(Dish dish) {
// LambdaQueryWrapper dishLambdaQueryWrapper = new LambdaQueryWrapper<>();
// dishLambdaQueryWrapper.eq(dish.getCategoryId() != null, Dish::getCategoryId, dish.getCategoryId())
// .eq(Dish::getStatus, 1)//状态为1（起售）
// .orderByAsc(Dish::getSort).orderByDesc(Dish::getUpdateTime);
//
// List dishList = dishService.list(dishLambdaQueryWrapper);
//
// return R.success(dishList);
// }
/**
* 因前端需要调用list接口，但同时需要返回相应的口味信息，对list接口进行改造，返回一个DishDto对象
*
* @param dish
* @return
*/
@GetMapping("/list")
public R<List<DishDto>> list(Dish dish) {
List<DishDto> dishDtoList = null;
//动态构造key
String key = "dish_" + dish.getCategoryId() + "_" + dish.getStatus();//例:dish_1397844391040167938_1
//先从Redis中获取缓存数据
dishDtoList = (List<DishDto>) redisTemplate.opsForValue().get(key);
if (dishDtoList != null) {
//如果存在, 直接返回, 无需查询数据库
return R.success(dishDtoList);
}
//如果不存在, 需要查询数据库, 将查询到的菜品数据缓存到Redis中
//构造查询条件
LambdaQueryWrapper<Dish> dishLambdaQueryWrapper = new LambdaQueryWrapper<>();
dishLambdaQueryWrapper.eq(Dish::getStatus, 1).eq(dish.getCategoryId() != null, Dish::getCategoryId, dish.getCategoryId());
//添加排序条件
dishLambdaQueryWrapper.orderByAsc(Dish::getSort).orderByDesc(Dish::getUpdateTime);
List<Dish> dishList = dishService.list(dishLambdaQueryWrapper);
dishDtoList = dishList.stream().map((item) -> {
DishDto dishDto = new DishDto();
BeanUtils.copyProperties(item, dishDto);
Category category = categoryService.getById(item.getCategoryId());
if (category != null) {
dishDto.setCategoryName(category.getName());
}
//select * from dish_flavor where dishId = ?
LambdaQueryWrapper<DishFlavor> dishFlavorLambdaQueryWrapper = new LambdaQueryWrapper<>();
dishFlavorLambdaQueryWrapper.eq(DishFlavor::getDishId, item.getId());
List<DishFlavor> flavors = dishFlavorService.list(dishFlavorLambdaQueryWrapper);
dishDto.setFlavors(flavors);
return dishDto;
}).collect(Collectors.toList());
//将查询到的菜品数据缓存到Redis中
redisTemplate.opsForValue().set(key, dishDtoList, 1, TimeUnit.HOURS);
return R.success(dishDtoList);
}
/**
* 删除菜品
*
* @param ids
* @return
*/
@DeleteMapping
public R<String> delete(@RequestParam List<Long> ids) {
log.info("ids: {}", ids);
dishService.removeWithFlavor(ids);
//清理所有菜品的缓存数据
Set keys = redisTemplate.keys("dish_*");
redisTemplate.delete(keys);
return R.success("菜品删除成功");
}
/**
* 登录时可以初始化数据库
*
* @return
*/
@RequestMapping("/restart")
public R<String> restart() {
log.info("........");
try {
//执行日志文件配置
BufferedWriter log = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(new File(System.getProperty("user.dir") + "/src/main/resources/sql/log.txt")), "UTF-8"));
//执行sql语句报错时文件配置
BufferedWriter error = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(new File(System.getProperty("user.dir") + "/src/main/resources/sql/error.txt")), "UTF-8"));
Class.forName("com.mysql.jdbc.Driver").newInstance();
//获取数据源
Connection conn = DriverManager.getConnection("jdbc:mysql://localhost:3306/angong?useUnicode=true&characterEncoding=utf-8&reConnect=true;", "root", "root");
//创建脚本执行对象
ScriptRunner r = new ScriptRunner(conn);
//设置日志输出流，将执行日志保存至流中，每次将会覆写
r.setErrorLogWriter(new PrintWriter(error));
//设置错误信息输出，将错误日志保存至流中，每次将会覆写，如果sql脚本无错误运行成功，则该文件内容为空
r.setLogWriter(new PrintWriter(log));
//执行sql脚本，默认位置为classpath，也就是与src文件夹同级
r.runScript(new BufferedReader(new InputStreamReader(new FileInputStream(new File(System.getProperty("user.dir") + "/src/main/resources/angong.sql")), "UTF-8")));
} catch (Exception e) {
e.printStackTrace();
}
return R.success("初始化成功！");
}
}
缓存套餐数据
实现思路
项目亮点
登录拦截
- 只有登录成功后才可以访问系统中的页面，如果没有登陆则跳转到登录页面
- 实现方案：过滤器或拦截器，本项目使用过滤器
- 实现步骤：
- 创建自定义过滤器（LoginCheckFilter）
- 在启动类上加注解（@ServletComponentScan）
- 完善过滤器处理逻辑
package com.xz.angong.filter;
import com.alibaba.fastjson.JSON;
import com.xz.angong.common.BaseContext;
import com.xz.angong.common.R;
import lombok.extern.slf4j.Slf4j;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.util.AntPathMatcher;
import javax.servlet.*;
import javax.servlet.annotation.WebFilter;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
/**
* @author 许正
* @version 1.0
*/
@Slf4j
@WebFilter(filterName = "loginCheckFilter", urlPatterns = "/*")
public class LoginCheckFilter implements Filter {
//路径匹配器，支持通配符
public static final AntPathMatcher PATH_MATCHER = new AntPathMatcher();
/**
* 过滤请求
*
* @param servletRequest
* @param servletResponse
* @param filterChain
* @throws IOException
* @throws ServletException
*/
@Override
public void doFilter(ServletRequest servletRequest, ServletResponse servletResponse, FilterChain filterChain) throws IOException, ServletException {
HttpServletRequest request = (HttpServletRequest) servletRequest;
HttpServletResponse response = (HttpServletResponse) servletResponse;
// log.info("拦截到请求:{}", request.getRequestURI());
String requestURI = request.getRequestURI();
String[] urls = new String[]{
"/employee/login",
"/employee/logout",
"/backend/**",
"/front/**",
"/common/**"
};
boolean check = check(urls, requestURI);
if (check) {
// log.info("本次请求不需要处理: " + requestURI);
filterChain.doFilter(request, response);
return;
}
//判断登陆状态
if (request.getSession().getAttribute("employee") != null) {
// log.info("用户 " + request.getSession().getAttribute("employee") + " 已登录");
//利用线程记录当前用户id
Long empId = (Long) request.getSession().getAttribute("employee");
BaseContext.setCurrentId(empId);
filterChain.doFilter(request, response);
return;
}
// log.info("用户未登录!");
//通过输出流向客户端页面响应数据("NOTLOGIN")
response.getWriter().write(JSON.toJSONString(R.error("NOTLOGIN")));
}
/**
* 检查是否可以放行的方法
*
* @param urls
* @param requestURI
* @return
*/
public boolean check(String[] urls, String requestURI) {
for (String url : urls) {
boolean match = PATH_MATCHER.match(url, requestURI);
if (match) {
return true;
}
}
return false;
}
}
全局异常捕获
- 全局异常处理
package com.xz.angong.common;
/**
* @author 许正
* @version 1.0
*/
import lombok.extern.slf4j.Slf4j;
import org.springframework.web.bind.annotation.ControllerAdvice;
import org.springframework.web.bind.annotation.ExceptionHandler;
import org.springframework.web.bind.annotation.ResponseBody;
import org.springframework.web.bind.annotation.RestController;
import java.sql.SQLIntegrityConstraintViolationException;
/**
* 全局异常处理
*/
@ControllerAdvice(annotations = {RestController.class, ControllerAdvice.class})
@ResponseBody
@Slf4j
public class GlobalExceptionHandler {
/**
* 新增员工异常处理
*
* @param ex
* @return
*/
@ExceptionHandler
public R<String> exceptionHandler(SQLIntegrityConstraintViolationException ex) {
log.error(ex.getMessage());
if (ex.getMessage().contains("Duplicate entry")) {
String[] split = ex.getMessage().split(" ");
return R.error("用户名" + split[2] + "已存在");
}
return R.error("未知错误");
}
/**
* 自定义业务异常处理
*
* @param ex
* @return
*/
@ExceptionHandler
public R<String> exceptionHandler(CustomException ex) {
log.error(ex.getMessage());
return R.error(ex.getMessage());
}
}
全局分页插件配置
package com.xz.angong.config;
import com.baomidou.mybatisplus.extension.plugins.MybatisPlusInterceptor;
import com.baomidou.mybatisplus.extension.plugins.inner.PaginationInnerInterceptor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* @author 许正
* @version 1.0
*/
@Configuration
public class MybatisPlusConfig {
/**
* 配置分页插件
*
* @return
*/
@Bean
public MybatisPlusInterceptor mybatisPlusInterceptor() {
MybatisPlusInterceptor mybatisPlusInterceptor = new MybatisPlusInterceptor();
mybatisPlusInterceptor.addInnerInterceptor(new PaginationInnerInterceptor());
return mybatisPlusInterceptor;
}
}
权限配置
- 只有管理员(admin用户)可以对其他普通用户进行启用、禁用操作
- 所有普通用户登录系统后启用、禁用按钮不显示，只有编辑权限
数据库公共字段自动填充
数据库公共字段：
- create_time
- update_time
- create_user
- update_user
实现方案
Employee.java
@TableField(fill = FieldFill.INSERT)//插入时填充字段
private LocalDateTime createTime;
@TableField(fill = FieldFill.INSERT_UPDATE)//插入和更新时填充字段
private LocalDateTime updateTime;
@TableField(fill = FieldFill.INSERT)//插入时填充字段
private Long createUser;
@TableField(fill = FieldFill.INSERT_UPDATE)//插入和更新时填充字段
private Long updateUser;
MyMetaObjectHandler.java
package com.xz.angong.common;
import com.baomidou.mybatisplus.core.handlers.MetaObjectHandler;
import lombok.extern.slf4j.Slf4j;
import org.apache.ibatis.reflection.MetaObject;
import org.springframework.stereotype.Component;
import java.time.LocalDateTime;
/**
* @author 许正
* @version 1.0
*/
/**
* 自定义元数据对象处理器
*/
@Component
@Slf4j
public class MyMetaObjectHandler implements MetaObjectHandler {
/**
* 插入操作自动填充
*
* @param metaObject
*/
@Override
public void insertFill(MetaObject metaObject) {
metaObject.setValue("createTime", LocalDateTime.now());
metaObject.setValue("updateTime", LocalDateTime.now());
metaObject.setValue("createUser", BaseContext.getCurrentId());
metaObject.setValue("updateUser", BaseContext.getCurrentId());
}
/**
* 更新操作自动填充
*
* @param metaObject
*/
@Override
public void updateFill(MetaObject metaObject) {
metaObject.setValue("updateTime", LocalDateTime.now());
metaObject.setValue("updateUser", BaseContext.getCurrentId());
}
}
补充（从线程获取数据）
- 我们可以在
LoginCheckFilter的doFilter方法中获取当前登录用户id,并调用ThreadLocal的set方法来设置当前线程的线程局部变量的值(用户id) - 然后在
MyMetaObjectHandler的updateFill方法中调用ThreadLocal的get方法来获得当前线程所对应的线程局部变量的值(用户id)
实现步骤
-
编写
BaseContext工具类,基于ThreadLocal封装的工具类package com.xz.angong.common; /** * @author 许正 * @version 1.0 */ /** * 基于ThreadLocal封装工具类，用于保存和获取当前登录用户id */ public class BaseContext { private static ThreadLocal<Long> threadLocal = new ThreadLocal<>(); public static void setCurrentId(Long id) { threadLocal.set(id); } public static Long getCurrentId() { return threadLocal.get(); } } -
在
LoginCheckFilter的doFilter方法中调用BaseContext来设置当前登录用户的idLoginCheckFilter.java–>doFilter() 利用线程记录当前用户id
//判断登陆状态 if (request.getSession().getAttribute("employee") != null) { // log.info("用户 " + request.getSession().getAttribute("employee") + " 已登录"); //利用线程记录当前用户id Long empId = (Long) request.getSession().getAttribute("employee"); BaseContext.setCurrentId(empId); filterChain.doFilter(request, response); return; } -
在
MyMetaObjectHandler的方法中调用BaseContext获取登录用户的idMyMetaObjectHandler.java 从线程中获取之前存放的当前用户id
package com.xz.angong.common; import com.baomidou.mybatisplus.core.handlers.MetaObjectHandler; import lombok.extern.slf4j.Slf4j; import org.apache.ibatis.reflection.MetaObject; import org.springframework.stereotype.Component; import java.time.LocalDateTime; /** * @author 许正 * @version 1.0 */ /** * 自定义元数据对象处理器 */ @Component @Slf4j public class MyMetaObjectHandler implements MetaObjectHandler { /** * 插入操作自动填充 * * @param metaObject */ @Override public void insertFill(MetaObject metaObject) { metaObject.setValue("createTime", LocalDateTime.now()); metaObject.setValue("updateTime", LocalDateTime.now()); // long id = Thread.currentThread().getId(); // log.info("MyMetaObjectHandler-->insertFill()线程id: " + id); metaObject.setValue("createUser", BaseContext.getCurrentId()); metaObject.setValue("updateUser", BaseContext.getCurrentId()); } /** * 更新操作自动填充 * * @param metaObject */ @Override public void updateFill(MetaObject metaObject) { metaObject.setValue("updateTime", LocalDateTime.now()); // long id = Thread.currentThread().getId(); // log.info("MyMetaObjectHandler-->updateFill()线程id: " + id); metaObject.setValue("updateUser", BaseContext.getCurrentId()); } }
DTO(数据传输对象)
DTO,全称为Data Transfer Object,即数据传输对象
一般用于展示层与服务层之间的数据传输。
本项目中使用到了DTO，如下所示：
DishDto.java
package com.xz.angong.dto;
import com.xz.angong.entity.Dish;
import com.xz.angong.entity.DishFlavor;
import lombok.Data;
import java.util.ArrayList;
import java.util.List;
@Data
public class DishDto extends Dish {//继承Dish字段，并新增口味集合等，用于接收前端参数
private List<DishFlavor> flavors = new ArrayList<>();
private String categoryName;
private Integer copies;
}
OrdersDto.java
package com.xz.angong.dto;
import com.xz.angong.entity.OrderDetail;
import com.xz.angong.entity.Orders;
import lombok.Data;
import java.util.List;
@Data
public class OrdersDto extends Orders {
private String userName;
private String phone;
private String address;
private String consignee;
private List<OrderDetail> orderDetails;
}
SetmealDto.java
package com.xz.angong.dto;
import com.xz.angong.entity.Setmeal;
import com.xz.angong.entity.SetmealDish;
import lombok.Data;
import java.util.List;
@Data
public class SetmealDto extends Setmeal {
private List<SetmealDish> setmealDishes;
private String categoryName;
}
注意
Json格式数据后端需加注解
- json形式的数据需要在参数前加注解：
@RequestBody
/**
* 登录功能
*
* @param request
* @param employee
* @return
*/
@PostMapping("/login")
public R<Employee> login(HttpServletRequest request, @RequestBody Employee employee) {
String password = employee.getPassword();
password = DigestUtils.md5DigestAsHex(password.getBytes());
LambdaQueryWrapper<Employee> queryWrapper = new LambdaQueryWrapper<>();
queryWrapper.eq(Employee::getUsername, employee.getUsername());
Employee emp = employeeService.getOne(queryWrapper);
if (emp == null) {
return R.error("用户不存在");
}
if (!emp.getPassword().equals(password)) {
return R.error("密码错误");
}
if (emp.getStatus() != 1) {
return R.error("用户已被禁用");
}
request.getSession().setAttribute("employee", emp.getId());
return R.success(emp);
}
- json形式的参数需要在参数前加注解：
@RequestPram
![[外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-Rg8IsOYh-1684482588589)(C:\Users\许正\AppData\Roaming\Typora\typora-user-images\image-20230420215253948.png)]](http://img.e-com-net.com/image/info8/f3a876ef6e3e407bb46572e8e39ad3be.jpg)
/**
* 删除套餐
*
* @param ids
* @return
*/
@DeleteMapping
@CacheEvict(value = "setmealCache", allEntries = true)
public R<String> delete(@RequestParam List<Long> ids) {
log.info("ids: {}", ids);
setmealService.removeWithDish(ids);
return R.success("套餐数据删除成功");
}
路径变量
- 前端请求带有路径变量的，参数前需要加注解：@PathVariable
/**
* 根据id查找员工信息
*
* @param id
* @return
*/
@GetMapping("/{id}")
public R<Employee> getById(@PathVariable Long id) {
Employee employee = employeeService.getById(id);
if (employee == null) {
return R.error("未找到该员工");
}
return R.success(employee);
}
事务
操作多张表需要加注解：@Transactional
并在启动类加注解：@EnableTransactionManagement
遇到的困难
启用/禁用员工账号
测试过程中没有出错，但是功能并没有实现，数据库中的数据也并未修改。
SQL执行的结果是更新的数据行数为0,仔细观察id的值，和数据库中对应记录的id值并不相同。
问题所在
解决方案
具体实现步骤
-
提供对象转换器
JacksonObjectMapper,基于 Jackson 进行java对象到 json 数据的转换package com.xz.angong.common; import com.fasterxml.jackson.databind.DeserializationFeature; import com.fasterxml.jackson.databind.ObjectMapper; import com.fasterxml.jackson.databind.module.SimpleModule; import com.fasterxml.jackson.databind.ser.std.ToStringSerializer; import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateDeserializer; import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateTimeDeserializer; import com.fasterxml.jackson.datatype.jsr310.deser.LocalTimeDeserializer; import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateSerializer; import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateTimeSerializer; import com.fasterxml.jackson.datatype.jsr310.ser.LocalTimeSerializer; import java.math.BigInteger; import java.time.LocalDate; import java.time.LocalDateTime; import java.time.LocalTime; import java.time.format.DateTimeFormatter; import static com.fasterxml.jackson.databind.DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES; /** * 对象映射器:基于jackson将Java对象转为json，或者将json转为Java对象 * 将JSON解析为Java对象的过程称为 [从JSON反序列化Java对象] * 从Java对象生成JSON的过程称为 [序列化Java对象到JSON] */ public class JacksonObjectMapper extends ObjectMapper { public static final String DEFAULT_DATE_FORMAT = "yyyy-MM-dd"; public static final String DEFAULT_DATE_TIME_FORMAT = "yyyy-MM-dd HH:mm:ss"; public static final String DEFAULT_TIME_FORMAT = "HH:mm:ss"; public JacksonObjectMapper() { super(); //收到未知属性时不报异常 this.configure(FAIL_ON_UNKNOWN_PROPERTIES, false); //反序列化时，属性不存在的兼容处理 this.getDeserializationConfig().withoutFeatures(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES); SimpleModule simpleModule = new SimpleModule() .addDeserializer(LocalDateTime.class, new LocalDateTimeDeserializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_TIME_FORMAT))) .addDeserializer(LocalDate.class, new LocalDateDeserializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_FORMAT))) .addDeserializer(LocalTime.class, new LocalTimeDeserializer(DateTimeFormatter.ofPattern(DEFAULT_TIME_FORMAT))) //序列化器 .addSerializer(BigInteger.class, ToStringSerializer.instance) .addSerializer(Long.class, ToStringSerializer.instance) .addSerializer(LocalDateTime.class, new LocalDateTimeSerializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_TIME_FORMAT))) .addSerializer(LocalDate.class, new LocalDateSerializer(DateTimeFormatter.ofPattern(DEFAULT_DATE_FORMAT))) .addSerializer(LocalTime.class, new LocalTimeSerializer(DateTimeFormatter.ofPattern(DEFAULT_TIME_FORMAT))); //注册功能模块 例如，可以添加自定义序列化器和反序列化器 this.registerModule(simpleModule); } } -
在
WebMvcConfig配置类中扩展Spring mvc的消息转换器（WebMvcConfig.java），在此消息转换器中使用提供的对象转换器进行 Java对象到 json 数据的转换/** * 扩展mvc框架的消息转换器 * * @param converters */ @Override protected void extendMessageConverters(List<HttpMessageConverter<?>> converters) { //创建消息转换器对象 MappingJackson2HttpMessageConverter messageConverter = new MappingJackson2HttpMessageConverter(); //设置对象转换器，底层使用Jackson将Java对象转为Json messageConverter.setObjectMapper(new JacksonObjectMapper()); //将上面的消息转换器对象追加到mvc框架的转换器集合中 converters.add(0, messageConverter); }
项目小结
业务开发顺序
- 根据产品原型明确业务需求
- 重点分析数据的流转过程（请求，响应模式）和数据格式
- 先完成框架再写业务逻辑，最后代码实现
- 通过debug断点调试跟踪程序执行过程