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wangxu
2025-10-08 19:32:05 +08:00
parent bff7559882
commit 00a51ac679
4 changed files with 569 additions and 28 deletions
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5
数据分析/v3/正式-处理.sql
View File

@@ -314,6 +314,11 @@ FROM custom_online_sale_order_tmp_local t1 LEFT JOIN (
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2025-01-01 00:00:00';
-- 7-5钱货两清时间小于发货时间的单子更新成发货时间？？？？？？？？？？？？？？？？
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE deliver_time <> '' AND mgclear_time <> '' AND mgclear_time < deliver_time;
SELECT * FROM custom_online_sale_order_local WHERE deliver_time <> '' AND mgclear_time <> '' AND mgclear_time < deliver_time;
UPDATE custom_online_sale_order_local SET mgclear_time = deliver_time WHERE deliver_time <> '' AND mgclear_time <> '' AND mgclear_time < deliver_time;
-- 验证
SELECT * FROM custom_online_sale_order_local WHERE platform_order_no = ''; -- 1 -1

525
数据分析/v3/正式-查询-下单时间(算换货) - 副本.sql
View File

@@ -277,11 +277,15 @@ FROM (SELECT
GROUP BY t1.perYear, t1.goods_barcode
ORDER BY t1.perYear, SUM(t1.goods_amt) DESC;
--SELECT * FROM custom_online_sale_bill_local WHERE goods_barcode = '000000009918000001';
------------------------------------------------------------------
-- 2.1线上每年各省份销售金额、订单数量及其占比
-- 1234791条平台订单没有省份
SELECT COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local WHERE province = '';
SELECT source_system, COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local WHERE province = '' GROUP BY source_system;
SELECT brand_code, COUNT() FROM custom_online_sale_order_local WHERE province = '' AND source_system = 'E3PLUS_NEW2' GROUP BY brand_code ;
SELECT brand_code, COUNT() FROM custom_online_sale_order_local WHERE source_system = 'E3PLUS_NEW2' GROUP BY brand_code ;
-- 只能计算有订单的，账单的不能算（没有省份）
-- 考虑店铺单号重复问题 非换货单有946单重复，加上换货单有1229条重复
-- 忽略省份为空的平台订单
@@ -415,7 +419,7 @@ SELECT * FROM custom_online_sale_order_local WHERE city = '湖北';
-- 1236382条平台订单没有城市
SELECT source_system, COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local WHERE city = '' GROUP BY source_system;
-- 城市和等级关联到的只有5695单 需要手工调整
-- 城市和等级关联到的只有5695单 需要手工调整 已调整
SELECT DISTINCT city FROM custom_online_sale_order_local;
-- 只能计算有订单的，账单的不能算（没有城市）
-- 忽略城市为空的平台订单
@@ -664,38 +668,407 @@ ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC;
------------------------------------------------------------------
-- 3.4线上每年大促期间店铺销售金额、订单数量和占比
/*
* 2022:
* 618: 0531-0620
* 1111: 1031-1111
* 2023:
* 618: 0531-0620
* 1111: 1020-1111
* 2024:
* 618: 0520-0620
* 1111: 1017-1111
* 2025:
* 618: 0516-0620
* 1111: 1008-1114
*/
SELECT
store_code AS "店铺编码",
MAX(store_name_t) AS "店铺名称",
SUM(goods_amt_t) AS "销售金额（元）",
SUM(order_freight_amt_t) AS "运费金额（元）",
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS "销售金额（元）（包含运费）",
COUNT(DISTINCT platform_order_no) AS "订单数量"
t1.store_code AS "店铺编码",
t1.store_name_t_t AS "店铺名称",
t3.sale_money AS "2022年618销售金额（元）（包含运费）",
t3.order_count AS "2022年618订单数量",
t2.sale_money AS "2022年双11销售金额（元）（包含运费）",
t2.order_count AS "2022年双11订单数量",
t1.all_sale_money AS "2022年总销售金额（元）（包含运费）",
t1.all_order_count AS "2022年总订单数量",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.sale_money / t1.all_sale_money, 4) END AS "2022年618销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.order_count / t1.all_order_count, 4) END AS "2022年618订单数量占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.sale_money / t1.all_sale_money, 4) END AS "2022年双11销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "2022年双11订单数量占比"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(min_order_time) AS order_time_t,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_qty) AS goods_qty_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2022-06-01' AND SUBSTR(min_order_time, 1, 10) <= '2022-06-30'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY store_code
ORDER BY SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
MAX(store_name_t) AS store_name_t_t,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money,
COUNT(DISTINCT platform_order_no) AS all_order_count
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2022-12-31'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2022-10-31' AND SUBSTR(min_order_time, 1, 10) <= '2022-11-11'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t2 ON t1.store_code = t2.store_code LEFT JOIN (
SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2022-05-31' AND SUBSTR(min_order_time, 1, 10) <= '2022-06-20'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t3 ON t1.store_code = t3.store_code
ORDER BY t1.all_sale_money DESC;
SELECT
t1.store_code AS "店铺编码",
t1.store_name_t_t AS "店铺名称",
t3.sale_money AS "2023年618销售金额（元）（包含运费）",
t3.order_count AS "2023年618订单数量",
t2.sale_money AS "2023年双11销售金额（元）（包含运费）",
t2.order_count AS "2023年双11订单数量",
t1.all_sale_money AS "2023年总销售金额（元）（包含运费）",
t1.all_order_count AS "2023年总订单数量",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.sale_money / t1.all_sale_money, 4) END AS "2023年618销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.order_count / t1.all_order_count, 4) END AS "2023年618订单数量占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.sale_money / t1.all_sale_money, 4) END AS "2023年双11销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "2023年双11订单数量占比"
FROM (SELECT
store_code,
MAX(store_name_t) AS store_name_t_t,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money,
COUNT(DISTINCT platform_order_no) AS all_order_count
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2023-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2023-12-31'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2023-10-20' AND SUBSTR(min_order_time, 1, 10) <= '2023-11-11'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t2 ON t1.store_code = t2.store_code LEFT JOIN (
SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2023-05-31' AND SUBSTR(min_order_time, 1, 10) <= '2023-06-20'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t3 ON t1.store_code = t3.store_code
ORDER BY t1.all_sale_money DESC;
SELECT
t1.store_code AS "店铺编码",
t1.store_name_t_t AS "店铺名称",
t3.sale_money AS "2024年618销售金额（元）（包含运费）",
t3.order_count AS "2024年618订单数量",
t2.sale_money AS "2024年双11销售金额（元）（包含运费）",
t2.order_count AS "2024年双11订单数量",
t1.all_sale_money AS "2024年总销售金额（元）（包含运费）",
t1.all_order_count AS "2024年总订单数量",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.sale_money / t1.all_sale_money, 4) END AS "2024年618销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t3.order_count / t1.all_order_count, 4) END AS "2024年618订单数量占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.sale_money / t1.all_sale_money, 4) END AS "2024年双11销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "2024年双11订单数量占比"
FROM (SELECT
store_code,
MAX(store_name_t) AS store_name_t_t,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money,
COUNT(DISTINCT platform_order_no) AS all_order_count
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2024-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2024-12-31'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2024-10-17' AND SUBSTR(min_order_time, 1, 10) <= '2024-11-11'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t2 ON t1.store_code = t2.store_code LEFT JOIN (
SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2024-05-20' AND SUBSTR(min_order_time, 1, 10) <= '2024-06-20'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t3 ON t1.store_code = t3.store_code
ORDER BY t1.all_sale_money DESC;
SELECT
t1.store_code AS "店铺编码",
t1.store_name_t_t AS "店铺名称",
t2.sale_money AS "2025年618销售金额（元）（包含运费）",
t2.order_count AS "2025年618订单数量",
t1.all_sale_money AS "20250630总销售金额（元）（包含运费）",
t1.all_order_count AS "20250630总订单数量",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.sale_money / t1.all_sale_money, 4) END AS "到20250630·618销售金额占比",
CASE WHEN t1.all_sale_money = 0 THEN 0 ELSE ROUND(t2.order_count / t1.all_order_count, 4) END AS "到20250630·618订单数量占比"
FROM (SELECT
store_code,
MAX(store_name_t) AS store_name_t_t,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS all_sale_money,
COUNT(DISTINCT platform_order_no) AS all_order_count
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2025-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t1 LEFT JOIN (
SELECT
store_code,
SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_money,
COUNT(DISTINCT platform_order_no) AS order_count
FROM (SELECT
store_code,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t,
SUM(goods_amt) AS goods_amt_t
FROM custom_online_sale_order_local
WHERE SUBSTR(min_order_time, 1, 10) >= '2025-05-16' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-20'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code
) t2 ON t1.store_code = t2.store_code
ORDER BY t1.all_sale_money DESC;
-- 不区分店铺算总的
--SELECT
-- a.sale_money AS "2022年618销售金额（元）（包含运费）",
-- a.order_count AS "2022年618订单数量",
-- b.sale_money AS "2022年双11销售金额（元）（包含运费）",
-- b.order_count AS "2022年双11订单数量",
-- c.all_sale_money AS "2022年总销售金额（元）（包含运费）",
-- c.all_order_count AS "2022年总订单数量",
-- ROUND(a.sale_money / c.all_sale_money, 4) AS "2022年618销售金额占比",
-- ROUND(a.order_count / c.all_order_count, 4) AS "2022年618订单数量占比",
-- ROUND(b.sale_money / c.all_sale_money, 4) AS "2022年双11销售金额占比",
-- ROUND(b.order_count / c.all_order_count, 4) AS "2022年双11订单数量占比"
--FROM (SELECT
-- SUM(sale_amt) AS sale_money,
-- SUM(order_amt) AS order_count
-- FROM (SELECT
-- SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_amt,
-- COUNT(DISTINCT platform_order_no) AS order_amt
-- FROM (SELECT
-- store_code,
-- platform_order_no,
-- MAX(order_freight_amt) AS order_freight_amt_t,
-- SUM(goods_amt) AS goods_amt_t
-- FROM custom_online_sale_order_local
-- WHERE SUBSTR(min_order_time, 1, 10) >= '2022-05-31' AND SUBSTR(min_order_time, 1, 10) <= '2022-06-20'
-- GROUP BY store_code, system_order_no, platform_order_no
-- ) GROUP BY store_code) -- 为了不同店铺同一平台单算多条，再包一层
--) a, (SELECT
-- SUM(sale_amt) AS sale_money,
-- SUM(order_amt) AS order_count
-- FROM (SELECT
-- SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_amt,
-- COUNT(DISTINCT platform_order_no) AS order_amt
-- FROM (SELECT
-- store_code,
-- platform_order_no,
-- MAX(order_freight_amt) AS order_freight_amt_t,
-- SUM(goods_amt) AS goods_amt_t
-- FROM custom_online_sale_order_local
-- WHERE SUBSTR(min_order_time, 1, 10) >= '2022-10-31' AND SUBSTR(min_order_time, 1, 10) <= '2022-11-11'
-- GROUP BY store_code, system_order_no, platform_order_no
-- ) GROUP BY store_code)
--) b, (SELECT
-- SUM(sale_amt) AS all_sale_money,
-- SUM(order_amt) AS all_order_count
-- FROM (SELECT
-- SUM(goods_amt_t) + SUM(order_freight_amt_t) AS sale_amt,
-- COUNT(DISTINCT platform_order_no) AS order_amt
-- FROM (SELECT
-- store_code,
-- platform_order_no,
-- MAX(order_freight_amt) AS order_freight_amt_t,
-- SUM(goods_amt) AS goods_amt_t
-- FROM custom_online_sale_order_local
-- WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2022-12-31'
-- GROUP BY store_code, system_order_no, platform_order_no
-- ) GROUP BY store_code)
--) c;
-- 账单店铺金额
SELECT
store_code AS "店铺编码",
MAX(store_name) AS "店铺名称",
SUM(goods_amt) AS "销售金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-06-01' AND SUBSTR(order_time, 1, 10) <= '2022-06-30'
GROUP BY store_code
ORDER BY SUM(goods_amt) DESC;
t1.store_code AS "店铺编码",
t1.store_name_t AS "店铺名称",
t3.sale_amt AS "2022年618销售金额（元）",
t2.sale_amt AS "2022年双11销售金额（元）",
t1.all_sale_amt AS "2022年总销售金额（元）",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t3.sale_amt / t1.all_sale_amt, 4) END AS "2022年618销售金额占比",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t2.sale_amt / t1.all_sale_amt, 4) END AS "2022年双11销售金额占比"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
SUM(goods_amt) AS all_sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-01-01' AND SUBSTR(order_time, 1, 10) <= '2022-12-31'
GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-10-31' AND SUBSTR(order_time, 1, 10) <= '2022-11-11'
GROUP BY store_code
) t2 ON t1.store_code = t2.store_code LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2022-05-31' AND SUBSTR(order_time, 1, 10) <= '2022-06-20'
GROUP BY store_code
) t3 ON t1.store_code = t3.store_code
ORDER BY t1.all_sale_amt DESC;
SELECT
t1.store_code AS "店铺编码",
t1.store_name_t AS "店铺名称",
t3.sale_amt AS "2023年618销售金额（元）",
t2.sale_amt AS "2023年双11销售金额（元）",
t1.all_sale_amt AS "2023年总销售金额（元）",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t3.sale_amt / t1.all_sale_amt, 4) END AS "2023年618销售金额占比",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t2.sale_amt / t1.all_sale_amt, 4) END AS "2023年双11销售金额占比"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
SUM(goods_amt) AS all_sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2023-01-01' AND SUBSTR(order_time, 1, 10) <= '2023-12-31'
GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2023-10-20' AND SUBSTR(order_time, 1, 10) <= '2023-11-11'
GROUP BY store_code
) t2 ON t1.store_code = t2.store_code LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2023-05-31' AND SUBSTR(order_time, 1, 10) <= '2023-06-20'
GROUP BY store_code
) t3 ON t1.store_code = t3.store_code
ORDER BY t1.all_sale_amt DESC;
SELECT
t1.store_code AS "店铺编码",
t1.store_name_t AS "店铺名称",
t3.sale_amt AS "2024年618销售金额（元）",
t2.sale_amt AS "2024年双11销售金额（元）",
t1.all_sale_amt AS "2024年总销售金额（元）",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t3.sale_amt / t1.all_sale_amt, 4) END AS "2024年618销售金额占比",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t2.sale_amt / t1.all_sale_amt, 4) END AS "2024年双11销售金额占比"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
SUM(goods_amt) AS all_sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-01-01' AND SUBSTR(order_time, 1, 10) <= '2024-12-31'
GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-10-17' AND SUBSTR(order_time, 1, 10) <= '2024-11-11'
GROUP BY store_code
) t2 ON t1.store_code = t2.store_code LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2024-05-20' AND SUBSTR(order_time, 1, 10) <= '2024-06-20'
GROUP BY store_code
) t3 ON t1.store_code = t3.store_code
ORDER BY t1.all_sale_amt DESC;
SELECT
t1.store_code AS "店铺编码",
t1.store_name_t AS "店铺名称",
t2.sale_amt AS "2025年618销售金额（元）",
t1.all_sale_amt AS "20250630总销售金额（元）",
CASE WHEN t1.all_sale_amt = 0 THEN 0 ELSE ROUND(t2.sale_amt / t1.all_sale_amt, 4) END AS "到20250630·618销售金额占比"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
SUM(goods_amt) AS all_sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2025-01-01' AND SUBSTR(order_time, 1, 10) <= '2025-06-30'
GROUP BY store_code
) t1 LEFT JOIN (SELECT
store_code,
SUM(goods_amt) AS sale_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND SUBSTR(order_time, 1, 10) >= '2025-05-16' AND SUBSTR(order_time, 1, 10) <= '2025-06-20'
GROUP BY store_code
) t2 ON t1.store_code = t2.store_code
ORDER BY t1.all_sale_amt DESC;
------------------------------------------------------------------
-- 4.1线上每年订单下单和发货间隔的销售金额、订单数量分布
@@ -954,7 +1327,7 @@ SELECT COUNT() FROM dwd_basic_all_vip_point_dd WHERE change_time = '';
--SELECT t2.*
--FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30') t1
--INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
--WHERE SUBSTR(t2.member_register_time, 1, 10) <= '2025-06-30';
--WHERE SUBSTR(t2.member_register_ti me, 1, 10) <= '2025-06-30';
-- 订单号关联不到积分数据
SELECT * FROM custom_online_sale_order_local WHERE platform_order_no IN (SELECT bill_no FROM dwd_basic_all_vip_point_dd WHERE bill_no <> '');
@@ -1013,5 +1386,101 @@ ORDER BY SUBSTR(t2.member_register_time, 1, 4);
-- 7.4线上每年会员积分新增、消耗、清零数量
-- 积分类型
SELECT DISTINCT change_kind FROM dwd_basic_all_vip_point_dd;
-- 积分清零有大于0的
SELECT * FROM dwd_basic_all_vip_point_dd WHERE change_kind = '60' AND point_change > '0';
-- 正向积分 获取
SELECT SUBSTR(change_time, 1, 4) AS perYear, SUM(toDecimal64(point_change, 2))
FROM dwd_basic_all_vip_point_dd
WHERE member_id IN (SELECT DISTINCT member_id
FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30') t1
INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
WHERE t2.member_register_time <> '')
AND point_change > '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(change_time, 1, 4)
ORDER BY SUBSTR(change_time, 1, 4);
-- 逆向积分 消耗
SELECT SUBSTR(change_time, 1, 4) AS perYear, SUM(toDecimal64(point_change, 2))
FROM dwd_basic_all_vip_point_dd
WHERE member_id IN (SELECT DISTINCT member_id
FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30') t1
INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
WHERE t2.member_register_time <> '')
AND point_change < '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind <> '60'
GROUP BY SUBSTR(change_time, 1, 4)
ORDER BY SUBSTR(change_time, 1, 4);
-- 积分清零
SELECT SUBSTR(change_time, 1, 4) AS perYear, SUM(toDecimal64(point_change, 2))
FROM dwd_basic_all_vip_point_dd
WHERE member_id IN (SELECT DISTINCT member_id
FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30') t1
INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
WHERE t2.member_register_time <> '')
AND point_change < '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind = '60'
GROUP BY SUBSTR(change_time, 1, 4)
ORDER BY SUBSTR(change_time, 1, 4);
--SELECT SUBSTR(change_time, 1, 4) AS perYear, change_kind, MAX(t2.point_change_name), SUM(toDecimal64(point_change, 2))
--FROM dwd_basic_all_vip_point_dd t1 LEFT JOIN custom_point_change_enum_local t2 ON t1.change_kind = t2.point_change_kind
--WHERE member_id IN (SELECT DISTINCT member_id
-- FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30') t1
-- INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
-- WHERE t2.member_register_time <> '')
--AND point_change > '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30'
--GROUP BY SUBSTR(change_time, 1, 4), change_kind
--ORDER BY SUBSTR(change_time, 1, 4);
--SELECT SUBSTR(change_time, 1, 4) AS perYear, change_kind,
-- CASE
-- WHEN change_kind = '1' THEN '初始积分'
-- WHEN change_kind = '2' THEN '交易送积分-线下'
-- WHEN change_kind = '7' THEN '交易退积分-线下'
-- WHEN change_kind = '9' THEN '调整积分'
-- WHEN change_kind = '13' THEN '接口赠送'
-- WHEN change_kind = '15' THEN '第三方发独立活动扣积分'
-- WHEN change_kind = '16' THEN '第三方活动积分类型'
-- WHEN change_kind = '19' THEN '调整减少积分'
-- WHEN change_kind = '20' THEN '交易基础积分'
-- WHEN change_kind = '21' THEN '交易基础积分-退'
-- WHEN change_kind = '22' THEN '交易活动积分'
-- WHEN change_kind = '23' THEN '交易活动积分-退'
-- WHEN change_kind = '30' THEN '退货'
-- WHEN change_kind = '40' THEN '其他'
-- WHEN change_kind = '50' THEN '交易送积分-线上商城'
-- WHEN change_kind = '51' THEN '交易退积分-线上商城'
-- WHEN change_kind = '52' THEN '交易送积分，三方商城，京东天猫等'
-- WHEN change_kind = '53' THEN '交易退积分.三方商城，京东天猫等'
-- WHEN change_kind = '54' THEN '交易送积分-线上商城'
-- WHEN change_kind = '70' THEN '人工调增'
-- WHEN change_kind = '80' THEN '人工调减'
-- WHEN change_kind = '90' THEN '营销互动奖励积分'
-- WHEN change_kind = '91' THEN '营销互动扣减积分'
-- WHEN change_kind = '92' THEN '生日奖励积分'
-- WHEN change_kind = '93' THEN '注册奖励积分'
-- WHEN change_kind = '94' THEN '完善资料奖励积分'
-- WHEN change_kind = '95' THEN '升降级奖励积分'
-- WHEN change_kind = '96' THEN '通用事件奖励积分'
-- WHEN change_kind = '5' THEN '积分兑换'
-- WHEN change_kind = '6' THEN '积分抵现'
-- WHEN change_kind = '8' THEN '积分抵现-冲正'
-- WHEN change_kind = '10' THEN '积分抵现-退货'
-- WHEN change_kind = '24' THEN '积分兑商品'
-- WHEN change_kind = '25' THEN '积分兑商品-冲正'
-- WHEN change_kind = '60' THEN '积分清零'
-- WHEN change_kind = '97' THEN '生日奖励积分'
-- WHEN change_kind = '98' THEN '交易基础积分'
-- WHEN change_kind = '99' THEN '交易基础积分-退'
-- WHEN change_kind = '100' THEN '交易基础积分'
-- WHEN change_kind = '101' THEN '交易基础积分-退'
-- END AS "积分变动类型值",
-- SUM(toDecimal64(point_change, 2))
--FROM dwd_basic_all_vip_point_dd
--WHERE member_id IN (SELECT DISTINCT member_id
-- FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local WHERE SUBSTR(min_order_time, 1, 10) >= '2022-01-01' AND SUBSTR(min_order_time, 1, 10) <= '2025-06-30') t1
-- INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
-- WHERE t2.member_register_time <> '')
--AND point_change > '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30'
--GROUP BY SUBSTR(change_time, 1, 4), change_kind
--ORDER BY SUBSTR(change_time, 1, 4);
------------------------------------------------------------------

36
数据分析/v3/正式-查询-钱货两清时间.sql
View File

@@ -945,5 +945,41 @@ ORDER BY SUBSTR(t2.member_register_time, 1, 4);
-- 7.4线上每年会员积分新增、消耗、清零数量
-- 积分类型
SELECT DISTINCT change_kind FROM dwd_basic_all_vip_point_dd;
-- 积分清零有大于0的
SELECT * FROM dwd_basic_all_vip_point_dd WHERE change_kind = '60' AND point_change > '0';
-- 正向积分 获取
SELECT SUBSTR(change_time, 1, 4) AS perYear, SUM(toDecimal64(point_change, 2))
FROM dwd_basic_all_vip_point_dd
WHERE member_id IN (SELECT DISTINCT member_id
FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30') t1
INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
WHERE t2.member_register_time <> '')
AND point_change > '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind <> '60'
GROUP BY SUBSTR(change_time, 1, 4)
ORDER BY SUBSTR(change_time, 1, 4);
-- 逆向积分 消耗
SELECT SUBSTR(change_time, 1, 4) AS perYear, SUM(toDecimal64(point_change, 2))
FROM dwd_basic_all_vip_point_dd
WHERE member_id IN (SELECT DISTINCT member_id
FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30') t1
INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
WHERE t2.member_register_time <> '')
AND point_change < '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind <> '60'
GROUP BY SUBSTR(change_time, 1, 4)
ORDER BY SUBSTR(change_time, 1, 4);
-- 积分清零
SELECT SUBSTR(change_time, 1, 4) AS perYear, SUM(toDecimal64(point_change, 2))
FROM dwd_basic_all_vip_point_dd
WHERE member_id IN (SELECT DISTINCT member_id
FROM (SELECT DISTINCT store_code FROM custom_online_sale_order_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30') t1
INNER JOIN dwd_basic_all_vip_info_dd t2 ON t1.store_code = t2.member_register_shop
WHERE t2.member_register_time <> '')
AND point_change < '0' AND change_time <> '' AND SUBSTR(change_time, 1, 10) >= '2022-01-01' AND SUBSTR(change_time, 1, 10) <= '2025-06-30' AND change_kind = '60'
GROUP BY SUBSTR(change_time, 1, 4)
ORDER BY SUBSTR(change_time, 1, 4);
------------------------------------------------------------------

31
数据分析/v3/验证.sql
View File

@@ -200,6 +200,7 @@ SELECT AVG(dateDiff('day', toDateTime(order_time), toDateTime(deliver_time)))
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE manual_order <> '是' AND deliver_time <> '';
-- 粗略计算销售金额
SELECT
SUM(goods_amt)
@@ -527,6 +528,12 @@ SELECT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system
SELECT store_code, MAX(store_name), arrayStringConcat(groupArray(distinct source_system), ',') AS source_system_m FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system LIKE 'PF%'
GROUP BY store_code HAVING COUNT(DISTINCT source_system) > 1 ;
SELECT store_code, MAX(store_name), arrayStringConcat(groupArray(distinct source_system), ',') AS source_system_m
FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system LIKE 'E3P%' OR source_system = 'PF_ECP_NEW2'
GROUP BY store_code HAVING COUNT(DISTINCT source_system) > 1 ;
SELECT DISTINCT source_system FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE store_code = 'DYE2';
SELECT DISTINCT source_system FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system LIKE 'PF%' AND store_code = 'DYO9';
SELECT DISTINCT brand_code FROM dwd_trade_hkaudit_ecommerce_sale_mt;
@@ -631,3 +638,27 @@ GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;
-- 钱货两清为空的
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system LIKE 'SBZ_HIS%' AND mgclear_time = '';
SELECT DISTINCT store_code, store_name FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE brand_code = 'VPG';
-- 缺少门店数据
SELECT DISTINCT brand_code, store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code NOT IN (SELECT store_code FROM dim_hkaudit_store_other_mt);
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code IN (SELECT supplier_code FROM dim_hkaudit_ecgoods_distribution_price_mt);
SELECT goods_code FROM dim_hkaudit_ecgoods_distribution_price_mt GROUP BY goods_code HAVING COUNT(DISTINCT distribution_price) > 1;
SELECT DISTINCT goods_barcode FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE goods_barcode NOT IN (SELECT barcode FROM dim_hkaudit_goods_mt);
SELECT source_system, COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time = '' GROUP BY source_system ;
SELECT brand_code, COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time = '' AND source_system = 'E3PLUS_NEW2' GROUP BY brand_code, ;
SELECT brand_code, MAX(store_name) , COUNT(DISTINCT platform_order_no) FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time = '' AND source_system = 'E3PLUS_NEW2' GROUP BY brand_code;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time = '' AND source_system = 'E3PLUS_NEW2' AND brand_code = 'HLA' ORDER BY order_date ;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time = '' AND source_system = 'SBZE3_NEW' AND order_date <= '2025-06-30' ORDER BY order_date ;
SELECT dateDiff('minute', toDateTime('2025-06-30 12:00:00'), toDateTime('2025-06-30'));
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no = '3203069261697';