周边数据需求#

需求背景#

背景

零食事业部需要的周边相关报表。

需求频率#

频率

每月第一个工作日,发送至:

  • 零食事业部 @李慧 @刘垚
  • 市场运营中心 @单磊

目录结构#

周边数据分析
├─ main.py
├─ 周边产品销售查询.csv
├─ 周边产品报货查询.csv
├─ 门店流水查询.csv
├─ ReadMe.md
└─ 周边数据需求.db

数据查询及导出#

查询周边销售数据#

查询结果保存为 周边产品销售查询.csv

注意

营业天数:只有当日销量大于 0 时,才计入营业天数。

SELECT 
    stat_shop_id AS 门店编号, 
    item_name AS 周边产品名称, 
    LEFT(business_date, 6) AS 月份,  
    SUM(dp_item_count) AS 周边产品销量, 
    SUM(dp_total_amount) AS 周边产品流水,
    -- 严格判断:只有当日销量大于 0 时,才计入售卖天数
    COUNT(DISTINCT CASE WHEN dp_item_count > 0 THEN business_date END) AS 产品售卖天数
FROM ads_dbs_trade_food_di 
WHERE food_category_name IN ('周边产品', '周边')
  AND business_date >= '20250101' AND business_date < '20250201' 
GROUP BY stat_shop_id, item_name, LEFT(business_date, 6) 
HAVING SUM(dp_item_count) > 0;

查询周边报货数据#

查询结果保存为 周边产品报货查询.csv

WITH report_order AS ( 
    SELECT 
        id AS `订单ID`, order_num AS `订单编号`, order_status AS `订单状态`, 
        order_time AS `订单时间`, order_type AS `订单类型`, 
        order_notes AS `订单备注`, store_code AS `门店编号` 
    FROM dwd_rps_tll_order_di 
), 
unique_orders AS ( 
    SELECT 
        `订单ID`, `订单编号`, `订单状态`, `订单时间`, `订单类型`, 
        `订单备注`, `门店编号`, 
        ROW_NUMBER() OVER (PARTITION BY `订单ID` ORDER BY `订单时间` DESC) AS rn 
    FROM report_order 
), 
report_order_details AS ( 
    SELECT 
        id AS `详单ID`, order_id AS `订单ID`, product_info AS `存货名称`, 
        product_specification AS `存货规格`, product_id AS `产品ID`, 
        sku_code AS `存货编码`, quantity AS `数量`, actual_amount AS `实际金额` 
    FROM dwd_rps_tll_order_details_di 
), 
summary_table AS ( 
    SELECT 
        uo.`门店编号`, rod.`存货名称`, rod.`实际金额`, rod.`数量`, uo.`订单时间`
    FROM unique_orders uo 
    INNER JOIN report_order_details rod ON uo.`订单ID` = rod.`订单ID` 
    WHERE CAST(rod.`存货编码` AS CHAR) LIKE '108%' 
      AND uo.`订单状态` >= 3 AND uo.`订单状态` != 5 AND uo.rn = 1 
      AND uo.`订单时间` >= '2025-01-01' AND uo.`订单时间` < '2026-01-01'
)
SELECT 
    `门店编号`, `存货名称`, 
    DATE_FORMAT(`订单时间`, '%Y%m') AS `月份`,  
    SUM(`数量`) AS `周边报货数量`, 
    SUM(`实际金额`) AS `周边报货金额`
FROM summary_table 
GROUP BY `门店编号`, `存货名称`, DATE_FORMAT(`订单时间`, '%Y%m') 
ORDER BY `门店编号`, `存货名称`, `月份`;

查询门店销售数据#

查询结果保存为 门店流水查询.csv

注意

营业天数:只有当日流水大于 0 时,才计入营业天数。

SELECT 
    shop_id AS 门店编号, 
    LEFT(pt, 6) AS 月份,  
    SUM(amount) AS 门店流水, 
    SUM(income) AS 门店实收, 
    SUM(order_cnt) AS 门店订单数,
    -- 严格判断:只有当日流水大于 0 时,才计入营业天数
    COUNT(DISTINCT CASE WHEN amount > 0 THEN pt END) AS 门店营业天数
FROM ads_dbs_trade_shop_pay_channel_di 
WHERE pt >= '20250101' AND pt < '20260101' 
  AND (shop_id LIKE 'TLL%' OR shop_id LIKE 'ZYD%') 
GROUP BY shop_id, LEFT(pt, 6) 
ORDER BY 门店编号, 月份;

项目地址#