个人中心--订单业务流程

流程分析:

  Controller实现 :（个人中心用户登录校验接口实现）

 

//校验token是否过期
@PostMapping("/check")
public R userTokenCheck(@RequestHeader("token") String token){
    return new R(ResStatus.OK,"success",null);
}

用户中心的订单管理：

流程分析整理后：

 接口实现：

数据库实现：

• 根据用户的ID分页查询当前用户的订单信息、关联查询订单中的商品快照
• 根据用户的ID和订单状态分页查询当前用户的订单信息、关联查询订单中的商品快照

封装对象OrderVO

 

Mapper接口：（子查询）

orderMapper

package com.qfedu.fmmall.dao;

import com.qfedu.fmmall.entity.Orders;
import com.qfedu.fmmall.entity.OrdersVO;
import com.qfedu.fmmall.general.GeneralDAO;
import org.apache.ibatis.annotations.Param;
import org.springframework.stereotype.Repository;

import java.util.List;

@Repository
public interface OrdersMapper extends GeneralDAO<Orders> {

    public List<OrdersVO> selectOrders(@Param("userId") String userId,
                                       @Param("status") String status,
                                       @Param("start") int start,
                                       @Param("limit") int limit);

}package com.qfedu.fmmall.dao;

OrderItemMapper:

package com.qfedu.fmmall.dao;

import com.qfedu.fmmall.entity.OrderItem;
import com.qfedu.fmmall.general.GeneralDAO;
import org.springframework.stereotype.Repository;

import java.util.List;

@Repository
public interface OrderItemMapper extends GeneralDAO<OrderItem> {

    public List<OrderItem> listOrderItemsByOrderId(String orderId);

}

映射文件:

orderItemMapper映射：（子）

<?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.qfedu.fmmall.dao.OrderItemMapper" >
  <resultMap id="BaseResultMap" type="com.qfedu.fmmall.entity.OrderItem" >
    <!--
      WARNING - @mbg.generated
    -->
    <id column="item_id" property="itemId" jdbcType="VARCHAR" />
    <result column="order_id" property="orderId" jdbcType="VARCHAR" />
    <result column="product_id" property="productId" jdbcType="VARCHAR" />
    <result column="product_name" property="productName" jdbcType="VARCHAR" />
    <result column="product_img" property="productImg" jdbcType="VARCHAR" />
    <result column="sku_id" property="skuId" jdbcType="VARCHAR" />
    <result column="sku_name" property="skuName" jdbcType="VARCHAR" />
    <result column="product_price" property="productPrice" jdbcType="DECIMAL" />
    <result column="buy_counts" property="buyCounts" jdbcType="INTEGER" />
    <result column="total_amount" property="totalAmount" jdbcType="DECIMAL" />
    <result column="basket_date" property="basketDate" jdbcType="TIMESTAMP" />
    <result column="buy_time" property="buyTime" jdbcType="TIMESTAMP" />
    <result column="is_comment" property="isComment" jdbcType="INTEGER" />
  </resultMap>

  <select id="listOrderItemsByOrderId" resultMap="BaseResultMap">
    select
      item_id,
      order_id ,
      product_id,
      product_name,
      product_img,
      sku_id,
      sku_name,
      product_price,
      buy_counts,
      total_amount,
      basket_date,
      buy_time,
      is_comment
    from order_item where order_id=#{orderId}
  </select>
</mapper>

OrderMapper映射：

<resultMap id="OrdersVOMap" type="com.qfedu.fmmall.entity.OrdersVO">
  <result column="order_id" jdbcType="VARCHAR" property="orderId" />
  <result column="user_id" jdbcType="VARCHAR" property="userId" />
  <result column="untitled" jdbcType="VARCHAR" property="untitled" />
  <result column="receiver_name" jdbcType="VARCHAR" property="receiverName" />
  <result column="receiver_mobile" jdbcType="VARCHAR" property="receiverMobile" />
  <result column="receiver_address" jdbcType="VARCHAR" property="receiverAddress" />
  <result column="total_amount" jdbcType="DECIMAL" property="totalAmount" />
  <result column="actual_amount" jdbcType="INTEGER" property="actualAmount" />
  <result column="pay_type" jdbcType="INTEGER" property="payType" />
  <result column="order_remark" jdbcType="VARCHAR" property="orderRemark" />
  <result column="status" jdbcType="VARCHAR" property="status" />
  <result column="delivery_type" jdbcType="VARCHAR" property="deliveryType" />
  <result column="delivery_flow_id" jdbcType="VARCHAR" property="deliveryFlowId" />
  <result column="order_freight" jdbcType="DECIMAL" property="orderFreight" />
  <result column="delete_status" jdbcType="INTEGER" property="deleteStatus" />
  <result column="create_time" jdbcType="TIMESTAMP" property="createTime" />
  <result column="update_time" jdbcType="TIMESTAMP" property="updateTime" />
  <result column="pay_time" jdbcType="TIMESTAMP" property="payTime" />
  <result column="delivery_time" jdbcType="TIMESTAMP" property="deliveryTime" />
  <result column="flish_time" jdbcType="TIMESTAMP" property="flishTime" />
  <result column="cancel_time" jdbcType="TIMESTAMP" property="cancelTime" />
  <result column="close_type" jdbcType="INTEGER" property="closeType" />
  <collection property="orderItems" column="order_id" select="com.qfedu.fmmall.dao.OrderItemMapper.listOrderItemsByOrderId"/>
</resultMap>

<select id="selectOrders" resultMap="OrdersVOMap">
  select order_id,
  user_id,
  untitled,
  receiver_name,
  receiver_mobile,
  receiver_address,
  total_amount,
  actual_amount,
  pay_type,
  order_remark,
  status,
  delivery_type,
  delivery_flow_id,
  order_freight,
  delete_status,
  create_time,
  update_time,
  pay_time,
  delivery_time,
  flish_time,
  cancel_time,
  close_type
  from orders
  where user_id = #{userId}
  <if test="status != null">
    and status = #{status}
  </if>
  limit #{start},#{limit}
</select>

service接口：

public R listOrders(String userId,String status,int pageNum,int limit);

service实现类：

@Override
public R listOrders(String userId, String status, int pageNum, int limit) {
    //1.分页查询
    int start = (pageNum-1)*limit;
    List<OrdersVO> ordersVOS = ordersMapper.selectOrders(userId, status, pageNum, limit);

    //2.查询总记录数
    Example example = new Example(Orders.class);
    Example.Criteria criteria = example.createCriteria();
    criteria.andLike("userId",userId);
    if(status != null && !"".equals(status)){
        criteria.andLike("status",status);
    }
    int count = ordersMapper.selectCountByExample(example);

    //3.计算总页数
    int pageCount = count%limit==0 ? count/limit:count/limit+1;

    //4.封装数据
    PageHelper<OrdersVO> pageHelper = new PageHelper<>(count,pageCount,ordersVOS);

    return new R(ResStatus.OK,"success",pageHelper);
}

Cortoller:

//订单查询接口
@GetMapping("/list")
public R list(@RequestHeader("token")String token,
              String userId,String status,int pageNum,int limit){
    R r = orderService.listOrders(userId, status, pageNum, limit);
    return r;
}