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wangxu
2025-10-08 15:47:05 +08:00
parent b395436b1e
commit bff7559882
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-- 1.1线上各店铺每年度销售金额、订单数量、订单均价
-- 数量和单价只能计算有订单的，账单的不能算
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
t1.store_code AS "店铺编码",
MAX(t1.store_name) AS "店铺名称",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量",
ROUND((SUM(t1.order_amt) + SUM(t2.order_freight_amt)) / COUNT(t1.platform_order_no), 2) AS "订单均价（元）"
FROM (SELECT store_code, platform_order_no, MAX(store_name) AS store_name, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
GROUP BY SUBSTR(t1.order_time, 1, 4), t1.store_code
ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
-- 账单店铺金额
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
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
GROUP BY SUBSTR(order_time, 1, 4), store_code
ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC;
------------------------------------------------------------------
-- 1.2线上各店铺每年度净销售金额
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
t1.store_code AS "店铺编码",
MAX(t1.store_name) AS "店铺名称",
SUM(t1.order_amt) AS "销售金额（元）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
SUM(t3.order_return_goods_amt) AS "退货金额（元）",
SUM(t4.order_return_freight_amt) AS "退货运费金额（元）",
SUM(t5.order_change_amount) AS "发货调整金额（元）",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) + SUM(t3.order_return_goods_amt)
+ SUM(t4.order_return_freight_amt) + SUM(t5.order_change_amount) AS "净销售金额（元）"
FROM (SELECT store_code, platform_order_no, MAX(store_name) AS store_name, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(return_goods_amt) AS order_return_goods_amt
FROM custom_online_sale_return_local
GROUP BY store_code, platform_order_no
) t3 ON t1.store_code = t3.store_code AND t1.platform_order_no = t3.platform_order_no
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(return_freight_amt_t) AS order_return_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(return_freight_amt) AS return_freight_amt_t
FROM custom_online_sale_return_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND return_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t4 ON t1.store_code = t4.store_code AND t1.platform_order_no = t4.platform_order_no
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS order_change_amount
FROM custom_online_sale_change_local
GROUP BY store_code, platform_order_no
) t5 ON t1.store_code = t5.store_code AND t1.platform_order_no = t5.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
GROUP BY SUBSTR(t1.order_time, 1, 4), t1.store_code
ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt) + SUM(t3.order_return_goods_amt)
+ SUM(t4.order_return_freight_amt) + SUM(t5.order_change_amount)) DESC;
-- 账单店铺金额
SELECT
t1.perYear AS "年份",
t1.store_code AS "店铺编码",
t1.store_name AS "店铺名称",
t1.sale_amount AS "销售金额（元）",
t2.return_amount AS "退货金额（元）",
t1.sale_amount + t2.return_amount AS "净销售金额（元）"
FROM (SELECT
SUBSTR(order_time, 1, 4) AS perYear,
store_code,
MAX(store_name) AS store_name,
SUM(goods_amt) AS sale_amount
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0
GROUP BY SUBSTR(order_time, 1, 4), store_code
) t1 LEFT JOIN (
SELECT
SUBSTR(order_time, 1, 4) AS perYear,
store_code,
SUM(goods_amt) AS return_amount
FROM custom_online_sale_bill_local
WHERE goods_amt < 0
GROUP BY SUBSTR(order_time, 1, 4), store_code
) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code
ORDER BY t1.perYear, (t1.sale_amount + t2.return_amount) DESC;
------------------------------------------------------------------
-- 1.3线上各店铺每年月度销售金额
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
SUBSTR(t1.order_time, 6, 2) AS "月份",
t1.store_code AS "店铺编码",
MAX(t1.store_name) AS "店铺名称",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量",
ROUND((SUM(t1.order_amt) + SUM(t2.order_freight_amt)) / COUNT(t1.platform_order_no), 2) AS "订单均价（元）"
FROM (SELECT store_code, platform_order_no, MAX(store_name) AS store_name, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
GROUP BY SUBSTR(t1.order_time, 1, 4), SUBSTR(t1.order_time, 6, 2), t1.store_code
ORDER BY SUBSTR(t1.order_time, 1, 4), t1.store_code, SUBSTR(t1.order_time, 6, 2);
-- 账单店铺金额
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
SUBSTR(order_time, 6, 2) AS "月份",
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
GROUP BY SUBSTR(order_time, 1, 4), SUBSTR(order_time, 6, 2), store_code
ORDER BY SUBSTR(order_time, 1, 4), store_code, SUBSTR(order_time, 6, 2);
------------------------------------------------------------------
-- 1.4线上每年前五店铺金额分布
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 1.5线上每年各产品数量、产品销售金额
SELECT *
FROM custom_online_sale_order_local;
SELECT * FROM dim_hkaudit_goods_mt WHERE barcode IN (
SELECT barcode
FROM dim_hkaudit_goods_mt GROUP BY barcode HAVING COUNT(DISTINCT goods_code) > 1)
ORDER By barcode ;
SELECT * FROM dim_hkaudit_goods_mt dhgm WHERE barcode = 'VRDBJ41159A01001A11';
SELECT * FROM dim_hkaudit_goods_mt WHERE goods_code IN (SELECT goods_barcode FROM custom_online_sale_order_local);
SELECT * FROM dim_hkaudit_goods_mt a left join custom_online_sale_order_local b on a.barcode = b.goods_barcode ;
SELECT COUNT() FROM dim_hkaudit_goods_mt;
SELECT COUNT() FROM dim_hkaudit_goods_mt_local;
-- 不关联商品名称（每个表单独算）
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
goods_barcode AS "商品条码",
SUM(goods_qty) AS "商品数量",
SUM(goods_amt) AS "商品销售金额（元）"
FROM custom_online_sale_order_local
WHERE order_time >= '2022-01-01' AND order_time <= '2025-06-30'
GROUP BY SUBSTR(order_time, 1, 4), goods_barcode
ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC;
-- 账单店铺金额
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
goods_barcode AS "商品条码",
SUM(goods_qty) AS "商品数量",
SUM(goods_amt) AS "商品销售金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0
GROUP BY SUBSTR(order_time, 1, 4), goods_barcode
ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC;
----------------------
-- 集群同步有问题
--SELECT
-- SUBSTR(t1.order_time, 1, 4) AS "年份",
-- t1.goods_barcode AS "商品条码",
-- MAX(t2.goods_names) AS "商品名称（多个合并）",
-- SUM(t1.goods_qty) AS "商品数量",
-- SUM(t1.goods_amt) AS "商品销售金额（元）"
--FROM custom_online_sale_order_local t1
--LEFT JOIN (SELECT barcode, arrayStringConcat(groupArray(goods_desc), ',') AS goods_names FROM dim_hkaudit_goods_mt GROUP BY barcode
--) t2 ON t1.goods_barcode = t2.barcode
--WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
--GROUP BY SUBSTR(t1.order_time, 1, 4), t1.goods_barcode
--ORDER BY SUBSTR(t1.order_time, 1, 4), SUM(t1.goods_amt) DESC;
----------------------
-- 不关联商品名称（两表合并算）
SELECT
perYear AS "年份",
goods_barcode AS "商品条码",
SUM(goods_qty) AS "商品数量",
SUM(goods_amt) AS "商品销售金额（元）"
FROM (SELECT
SUBSTR(order_time, 1, 4) AS perYear,
goods_barcode,
goods_qty,
goods_amt
FROM custom_online_sale_order_local
WHERE order_time >= '2022-01-01' AND order_time <= '2025-06-30'
UNION ALL
SELECT
SUBSTR(order_time, 1, 4) AS perYear,
goods_barcode,
goods_qty,
goods_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0
)
GROUP BY perYear, goods_barcode
ORDER BY perYear, SUM(goods_amt) DESC;
-- 集群同步有问题
--SELECT
-- t1.perYear AS "年份",
-- t1.goods_barcode AS "商品条码",
-- MAX(t2.goods_names) AS "商品名称（多个合并）",
-- SUM(t1.goods_qty) AS "商品数量",
-- SUM(t1.goods_amt) AS "商品销售金额（元）"
--FROM (SELECT
-- SUBSTR(order_time, 1, 4) AS perYear,
-- goods_barcode,
-- goods_qty,
-- goods_amt
-- FROM custom_online_sale_order_local
-- WHERE order_time >= '2022-01-01' AND order_time <= '2025-06-30'
-- UNION ALL
-- SELECT
-- SUBSTR(order_time, 1, 4) AS perYear,
-- goods_barcode,
-- goods_qty,
-- goods_amt
-- FROM custom_online_sale_bill_local
-- WHERE goods_amt >= 0
--) t1 LEFT JOIN (
-- SELECT barcode, arrayStringConcat(groupArray(goods_desc), ',') AS goods_names FROM dim_hkaudit_goods_mt GROUP BY barcode
--) t2 ON t1.goods_barcode = t2.barcode
--GROUP BY t1.perYear, t1.goods_barcode
--ORDER BY t1.perYear, SUM(t1.goods_amt) DESC;
------------------------------------------------------------------
-- 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 source_system, COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local WHERE province = '' GROUP BY source_system;
-- 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
SELECT
a.perYear AS "年份",
a.province_t AS "省份",
a.sale_amount + a.freight_amount AS "销售金额（元）（包含运费）",
a.freight_amount AS "运费金额（元）",
a.order_count AS "订单数量", -- 不去重，多个店铺算多单
b.all_order_count AS "订单总数量",
ROUND((a.sale_amount + a.freight_amount) / b.all_order_count, 2) AS "订单占比"
FROM (SELECT
SUBSTR(t1.order_time, 1, 4) AS perYear,
t1.province_t,
SUM(t1.order_amt) AS sale_amount,
SUM(t2.order_freight_amt) AS freight_amount,
COUNT(t1.platform_order_no) AS order_count -- 不去重，多个店铺算多单
FROM
(SELECT store_code, platform_order_no, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt, MAX(province) AS province_t
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30' AND province_t <> ''
GROUP BY SUBSTR(t1.order_time, 1, 4), t1.province_t
) a LEFT JOIN (SELECT SUBSTR(order_time, 1, 4) AS perYear, COUNT(platform_order_no) AS all_order_count
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, MAX(province) AS province_t
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no)
WHERE order_time >= '2022-01-01' AND order_time <= '2025-06-30' AND province_t <> ''
GROUP BY SUBSTR(order_time, 1, 4)
) b ON a.perYear = b.perYear
ORDER BY a.perYear, (a.sale_amount + a.freight_amount) DESC;
------------------------------------------------------------------
-- 2.2线上每年各等级城市销售金额、订单数量及其占比
-- 城市为空 -> 其他
-- 省直辖县级行政区 -> 区域替换城市（其他区和空也直接换）
-- 湖北省直辖县 -> 区域替换城市（其它区也直接换）
-- 县 -> 省份替换城市
-- 自治区直辖县级行政区划 -> 区域替换城市
-- 省直辖县级行政区划 -> 区域替换城市（其他区和空也直接换）
-- 新疆维吾尔自治区直辖县 -> 区域替换城市
-- 维吾尔自治区 -> 区域替换城市
-- 河南省直辖县 -> 区域替换城市
-- 市辖区 -> 省份替换城市
-- 广东 -> 区域替换城市
-- 湖北 -> 区域替换城市
SELECT city, COUNT() FROM custom_online_sale_order_local GROUP BY city;
SELECT DISTINCT region FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区' AND region = '';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区' AND region = '其它区';
SELECT DISTINCT region FROM custom_online_sale_order_local WHERE city = '湖北省直辖县';
SELECT DISTINCT province FROM custom_online_sale_order_local WHERE city = '县';
SELECT * FROM custom_online_sale_order_local WHERE city = '自治区直辖县级行政区划';
SELECT DISTINCT region FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区划';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区划' AND region = '';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区划' AND region = '其它区';
SELECT * FROM custom_online_sale_order_local WHERE city = '新疆维吾尔自治区直辖县';
SELECT * FROM custom_online_sale_order_local WHERE city = '维吾尔自治区';
SELECT * FROM custom_online_sale_order_local WHERE city = '河南省直辖县';
SELECT * FROM custom_online_sale_order_local WHERE city = '市辖区';
SELECT * FROM custom_online_sale_order_local WHERE city = '广东';
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
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
SELECT
a.perYear AS "年份",
a.city_grade,
a.sale_amount + a.freight_amount AS "销售金额（元）（包含运费）",
a.freight_amount AS "运费金额（元）",
a.order_count AS "订单数量", -- 不去重，多个店铺算多单
b.all_order_count AS "订单总数量",
ROUND((a.sale_amount + a.freight_amount) / b.all_order_count, 2) AS "订单占比"
FROM (SELECT
SUBSTR(t1.order_time, 1, 4) AS perYear,
t3.city_grade AS city_grade,
SUM(t1.order_amt) AS sale_amount,
SUM(t2.order_freight_amt) AS freight_amount,
COUNT(t1.platform_order_no) AS order_count -- 不去重，多个店铺算多单
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt, MAX(TRIM(city)) AS city_t
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
LEFT JOIN custom_online_city_grade_local t3 ON t1.city_t = t3.city
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30' AND t3.city_grade <> ''
GROUP BY SUBSTR(t1.order_time, 1, 4), t3.city_grade
) a LEFT JOIN (SELECT SUBSTR(t1.order_time, 1, 4) AS perYear, COUNT(t1.platform_order_no) AS all_order_count
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, MAX(TRIM(city)) AS city_t
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no) t1
LEFT JOIN custom_online_city_grade_local t2 ON t1.city_t = t2.city
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30' AND t2.city_grade <> ''
GROUP BY SUBSTR(t1.order_time, 1, 4)
) b ON a.perYear = b.perYear
ORDER BY a.perYear, (a.sale_amount + a.freight_amount) DESC;
------------------------------------------------------------------
-- 3.1线上每年单笔订单金额分布及其占比
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 3.2线上每年同一个收货地址的地址数量、销售金额、订单数量
-- 100053条
SELECT platform_order_no FROM custom_online_sale_order_local GROUP BY platform_order_no HAVING COUNT(DISTINCT consignee_add) > 1;
SELECT * FROM custom_online_sale_order_local WHERE platform_order_no = '4920083542368856013A';
-- SBZ换货没有标识 | 换货单或者手工单发货地址为明文，与平台是一个地址，但是平台属于密文，只取一个
-- 1869294条平台订单没有收货地址，账单的都没有
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
t1.order_addr AS "收货地址",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量"
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt, MAX(consignee_add) AS order_addr
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30' AND order_addr <> ''
GROUP BY SUBSTR(t1.order_time, 1, 4), t1.order_addr
ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
-- 省份+地址
--SELECT COUNT() FROM custom_online_sale_order_local WHERE consignee_add = ''; -- 1869294
--SELECT COUNT() FROM custom_online_sale_order_local WHERE province = ''; -- 1869251
--SELECT COUNT() FROM custom_online_sale_order_local WHERE consignee_add = '' AND province = ''; -- 1869249
--
--SELECT
-- SUBSTR(t1.order_time, 1, 4) AS "年份",
-- t1.order_addr AS "收货地址",
-- SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
-- SUM(t2.order_freight_amt) AS "运费金额（元）",
-- COUNT(t1.platform_order_no) AS "订单数量"
--FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt, MAX(CONCAT(province, consignee_add)) AS order_addr
-- FROM custom_online_sale_order_local
-- GROUP BY store_code, platform_order_no
--) t1 LEFT JOIN (
-- -- EC算运费
-- SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
-- FROM (SELECT
-- store_code,
-- system_order_no,
-- platform_order_no,
-- MAX(order_freight_amt) AS order_freight_amt_t
-- FROM custom_online_sale_order_local
-- WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
-- GROUP BY store_code, system_order_no, platform_order_no
-- ) GROUP BY store_code, platform_order_no
--) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
--WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30' AND order_addr <> ''
--GROUP BY SUBSTR(t1.order_time, 1, 4), t1.order_addr
--ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
------------------------------------------------------------------
-- 3.3线上每年各天和各小时订单数量和销售金额
-- order_time没有时分秒的数量 78954 SBZE3的部分单子 计算各小时的需要去除
SELECT * FROM custom_online_sale_order_local WHERE LENGTH(order_time) <= 10;
-- 账单order_time没有时分秒的数量 7364085
SELECT COUNT() FROM custom_online_sale_bill_local WHERE LENGTH(order_time) <= 10;
-- 账单的不能算订单数量
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
SUBSTR(t1.order_time, 6, 5) AS "日期",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量"
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
GROUP BY SUBSTR(t1.order_time, 1, 4), SUBSTR(t1.order_time, 6, 5)
ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
-- 账单店铺金额
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
SUBSTR(order_time, 6, 5) AS "日期",
SUM(goods_amt) AS "销售金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0
GROUP BY SUBSTR(order_time, 1, 4), SUBSTR(order_time, 6, 5)
ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC;
-- 按照小时算 ----------
SELECT
SUBSTR(t1.order_time_t, 1, 4) AS "年份",
t1.time_area AS "时间区间",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量"
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time_t, SUM(goods_amt) AS order_amt,
CASE WHEN LENGTH(MIN(order_time)) > 10 THEN
CASE
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 0 THEN '0-1点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 1 THEN '1-2点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 2 THEN '2-3点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 3 THEN '3-4点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 4 THEN '4-5点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 5 THEN '5-6点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 6 THEN '6-7点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 7 THEN '7-8点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 8 THEN '8-9点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 9 THEN '9-10点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 10 THEN '10-11点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 11 THEN '11-12点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 12 THEN '12-13点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 13 THEN '13-14点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 14 THEN '14-15点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 15 THEN '15-16点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 16 THEN '16-17点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 17 THEN '17-18点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 18 THEN '18-19点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 19 THEN '19-20点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 20 THEN '20-21点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 21 THEN '21-22点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 22 THEN '22-23点'
WHEN toInt32(SUBSTR(MIN(order_time), 12, 2)) = 23 THEN '23-24点'
END
ELSE '其他' END AS time_area
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time_t >= '2022-01-01' AND t1.order_time_t <= '2025-06-30' AND time_area <> '其他'
GROUP BY SUBSTR(t1.order_time_t, 1, 4), t1.time_area
ORDER BY SUBSTR(t1.order_time_t, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
-- 账单店铺金额
-- 22 23年没有带时间的
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
time_area AS "时间区间",
SUM(goods_amt) AS "销售金额（元）"
FROM (SELECT
order_time,
CASE
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 0 THEN '0-1点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 1 THEN '1-2点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 2 THEN '2-3点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 3 THEN '3-4点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 4 THEN '4-5点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 5 THEN '5-6点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 6 THEN '6-7点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 7 THEN '7-8点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 8 THEN '8-9点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 9 THEN '9-10点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 10 THEN '10-11点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 11 THEN '11-12点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 12 THEN '12-13点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 13 THEN '13-14点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 14 THEN '14-15点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 15 THEN '15-16点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 16 THEN '16-17点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 17 THEN '17-18点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 18 THEN '18-19点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 19 THEN '19-20点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 20 THEN '20-21点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 21 THEN '21-22点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 22 THEN '22-23点'
WHEN toInt32(SUBSTR(order_time, 12, 2)) = 23 THEN '23-24点'
END AS time_area,
goods_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND LENGTH(order_time) > 10
) GROUP BY SUBSTR(order_time, 1, 4), time_area
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
SELECT
t1.store_code AS "店铺编码",
MAX(t1.store_name) AS "店铺名称",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量"
FROM (SELECT store_code, platform_order_no, MAX(store_name) AS store_name, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-06-01' AND t1.order_time <= '2022-06-30'
GROUP BY t1.store_code
ORDER BY (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
-- 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 order_time >= '2022-06-01' AND order_time <= '2022-06-30'
GROUP BY store_code
ORDER BY SUM(goods_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
-- 1586424条平台订单物流单号为空
SELECT source_system, COUNT() FROM custom_online_sale_order_local WHERE main_logistic_bill = '' GROUP BY source_system;
-- 1,780,404 条平台订单发货时间为空
SELECT source_system, COUNT() FROM custom_online_sale_order_local WHERE deliver_time = '' GROUP BY source_system;
-- SBZ XSDD的40条财务手工的单子发货时间不为空，其他都为空 账单的做不了
SELECT * FROM custom_online_sale_bill_local WHERE deliver_time <> '';
SELECT
SUBSTR(t1.order_time_t, 1, 4) AS "年份",
t1.time_diff AS "发货间隔",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量"
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time_t, MIN(deliver_time) AS deliver_time_t, SUM(goods_amt) AS order_amt,
CASE WHEN MIN(deliver_time) <> '' AND MIN(order_time) <> '' THEN
CASE
WHEN dateDiff('minute', toDateTime(MIN(deliver_time)), toDateTime(MIN(order_time))) <= 240 THEN '0-4小时'
WHEN dateDiff('minute', toDateTime(MIN(deliver_time)), toDateTime(MIN(order_time))) > 240
AND dateDiff('minute', toDateTime(MIN(deliver_time)), toDateTime(MIN(order_time))) <= 1440 THEN '4-24小时'
WHEN dateDiff('minute', toDateTime(MIN(deliver_time)), toDateTime(MIN(order_time))) > 1440
AND dateDiff('minute', toDateTime(MIN(deliver_time)), toDateTime(MIN(order_time))) <= 2880 THEN '24-48小时'
WHEN dateDiff('minute', toDateTime(MIN(deliver_time)), toDateTime(MIN(order_time))) > 2880 THEN '大于48小时'
END
ELSE '其他'
END AS time_diff
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time_t >= '2022-01-01' AND t1.order_time_t <= '2025-06-30' AND time_diff <> '其他'
GROUP BY SUBSTR(t1.order_time_t, 1, 4), t1.time_diff
ORDER BY SUBSTR(t1.order_time_t, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
------------------------------------------------------------------
-- 4.2线上每年各物流承运商销售金额、订单数量
-- 932303条平台订单物流承运商为空 账单的为SBZ 40条财务手工单,无平台订单号不考虑
SELECT COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local WHERE carrier = '';
SELECT carrier, COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local GROUP BY carrier;
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
t1.carrierName AS "承运商",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量"
FROM (SELECT store_code, platform_order_no, MIN(order_time) AS order_time, SUM(goods_amt) AS order_amt, MAX(carrier) AS carrier,
CASE
WHEN carrier IN ('shunfeng') OR carrier LIKE 'sf%' OR carrier LIKE 'SF%' OR carrier LIKE '顺丰%' THEN '顺丰'
WHEN carrier IN ('postb', 'eyb') OR carrier LIKE 'ems%' OR carrier LIKE 'EMS%' THEN '邮政'
WHEN carrier LIKE 'yunda%' OR carrier LIKE 'YUNDA%' THEN '韵达'
WHEN carrier IN ('ZT') OR carrier LIKE 'zto%' OR carrier LIKE 'ZTO%' OR carrier LIKE '中通%' THEN '中通'
WHEN carrier LIKE 'jd%' OR carrier LIKE 'JD%' OR carrier LIKE '京东%' THEN '京东'
WHEN carrier IN ('ST#DW', 'ST') OR carrier LIKE 'sto%' OR carrier LIKE 'STO%' OR carrier LIKE '申通%' THEN '申通'
WHEN carrier LIKE 'jt%' OR carrier LIKE 'JT%' THEN '极兔'
WHEN carrier IN ('YT') OR carrier LIKE 'yto%' OR carrier LIKE 'YTO%' OR carrier LIKE '圆通%' THEN '圆通'
WHEN carrier IN ('rider') THEN '骑士'
WHEN carrier IN ('dbl') THEN '德邦'
WHEN carrier IN ('htky') THEN '汇通'
WHEN carrier IN ('QSKD') THEN '千顺'
WHEN carrier IN ('fengwang') THEN '丰网'
WHEN carrier IN ('best') THEN '百世'
WHEN carrier IN ('ttkdex') THEN '天天'
ELSE carrier
END AS carrierName
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
GROUP BY SUBSTR(t1.order_time, 1, 4), t1.carrierName
ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
------------------------------------------------------------------
-- 4.3线上每年各月物流单数量
-- 按照最小下单时间，物流单往前归
SELECT
SUBSTR(t2.order_time_t, 1, 4) AS "年份",
SUBSTR(t2.order_time_t, 6, 2) AS "月份",
COUNT(DISTINCT t1.main_logistic_bill) AS "物流单数量"
FROM (SELECT *
FROM custom_online_sale_order_local
) t1 LEFT JOIN (SELECT store_code, platform_order_no, MIN(order_time) AS order_time_t
FROM custom_online_sale_order_local
GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t2.order_time_t >= '2022-01-01' AND t2.order_time_t <= '2025-06-30' AND main_logistic_bill <> ''
GROUP BY SUBSTR(t2.order_time_t, 1, 4), SUBSTR(t2.order_time_t, 6, 2)
ORDER BY SUBSTR(t2.order_time_t, 1, 4), SUBSTR(t2.order_time_t, 6, 2);
------------------------------------------------------------------
-- 5.1线上各店铺每年度退款金额
-- 换货的退款怎么区分
SELECT
SUBSTR(t1.order_time, 1, 4) AS "年份",
t1.store_code AS "店铺编码",
MAX(t1.store_name) AS "店铺名称",
SUM(t1.order_amt) + SUM(t2.order_freight_amt) AS "销售金额（元）（包含运费）",
SUM(t2.order_freight_amt) AS "运费金额（元）",
COUNT(t1.platform_order_no) AS "订单数量",
ROUND((SUM(t1.order_amt) + SUM(t2.order_freight_amt)) / COUNT(t1.platform_order_no), 2) AS "订单均价（元）"
FROM (SELECT store_code, platform_order_no, MAX(store_name) AS store_name, MIN(create_time) AS create_time, SUM(goods_amt) AS order_amt
FROM custom_online_sale_return_local
GROUP BY store_code, platform_order_no
) t1 LEFT JOIN (
-- EC算运费
SELECT store_code, platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_order_local
WHERE source_system IN ('EC_HIS_NEW', 'EC_HIS2') AND order_freight_amt <> 0
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY store_code, platform_order_no
) t2 ON t1.store_code = t2.store_code AND t1.platform_order_no = t2.platform_order_no
WHERE t1.order_time >= '2022-01-01' AND t1.order_time <= '2025-06-30'
GROUP BY SUBSTR(t1.order_time, 1, 4), t1.store_code
ORDER BY SUBSTR(t1.order_time, 1, 4), (SUM(t1.order_amt) + SUM(t2.order_freight_amt)) DESC;
-- 账单店铺金额
SELECT
SUBSTR(order_time, 1, 4) AS "年份",
store_code AS "店铺编码",
MAX(store_name) AS "店铺名称",
SUM(goods_amt) AS "退款金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt < 0
GROUP BY SUBSTR(order_time, 1, 4), store_code
ORDER BY SUBSTR(order_time, 1, 4), SUM(goods_amt) DESC;
------------------------------------------------------------------
-- 5.2线上各店铺每年退款订单数量
------------------------------------------------------------------
-- 5.3线上每年退款大于原销售的差异金额、订单数量
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 5.4线上每年各月退款金额
------------------------------------------------------------------
-- 5.5线上每年各月退款订单数量
------------------------------------------------------------------
-- 5.6线上每年订单退款金额分布
------------------------------------------------------------------
-- 6.1线上每年净销售金额前100订单净销售金额
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 6.2线上每年净销售金额前100订单各省份净销售金额
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 6.3线上每年净销售金额前100订单各商品净销售金额
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 7.1线上每年会员数量
------------------------------------------------------------------
-- 7.2线上每年活跃会员数量及其占比
------------------------------------------------------------------
-- 7.3线上每年会员新增、注销数量
------------------------------------------------------------------
-- 7.4线上每年会员积分新增、消耗、清零数量
------------------------------------------------------------------

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-- 1.1线上各店铺每年度销售金额、订单数量、订单均价
-- 数量和单价只能计算有订单的，账单的不能算
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
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",
ROUND((SUM(goods_amt_t) + SUM(order_freight_amt_t)) / COUNT(DISTINCT platform_order_no), 2) AS "订单均价（元）"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
-- 账单店铺金额
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
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 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), store_code
ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt) DESC;
------------------------------------------------------------------
-- 1.2线上各店铺每年度净销售金额
SELECT
t1.perYear AS "年份",
t1.store_code AS "店铺编码",
t1.storeName AS "店铺名称",
t1.goodsAmt AS "销售金额（元）",
t1.orderFreightAmt AS "运费金额（元）",
t2.returnGoodsAmt AS "退货金额（元）",
t2.returnFreightAmt AS "退货运费金额（元）",
t3.orderChangeAmt AS "发货调整金额（元）",
t1.goodsAmt + t1.orderFreightAmt + t2.returnGoodsAmt
+ t2.returnFreightAmt + t3.orderChangeAmt AS "净销售金额（元）"
FROM (
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS perYear,
store_code,
MAX(store_name_t) AS storeName,
SUM(goods_amt_t) AS goodsAmt,
SUM(order_freight_amt_t) AS orderFreightAmt
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code
) t1 LEFT JOIN (
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS perYear,
store_code,
SUM(return_freight_amt_t) AS returnFreightAmt,
SUM(return_goods_amt_t) AS returnGoodsAmt
FROM (SELECT
store_code,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_time_t,
MAX(return_freight_amt) AS return_freight_amt_t,
SUM(return_goods_qty) AS return_goods_qty_t,
SUM(return_goods_amt) AS return_goods_amt_t
FROM custom_online_sale_return_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
) GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code
) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code
LEFT JOIN (
SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, store_code, SUM(special_barcode_amt) AS orderChangeAmt
FROM custom_online_sale_change_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), store_code
) t3 ON t1.perYear = t3.perYear AND t1.store_code = t3.store_code
ORDER BY t1.perYear, t1.goodsAmt + t1.orderFreightAmt + t2.returnGoodsAmt
+ t2.returnFreightAmt + t3.orderChangeAmt DESC;
-- 账单店铺金额
SELECT
t1.perYear AS "年份",
t1.store_code AS "店铺编码",
t1.store_name AS "店铺名称",
t1.sale_amount AS "销售金额（元）",
t2.return_amount AS "退货金额（元）",
t1.sale_amount + t2.return_amount AS "净销售金额（元）"
FROM (SELECT
SUBSTR(mgclear_time, 1, 4) AS perYear,
store_code,
MAX(store_name) AS store_name,
SUM(goods_amt) AS sale_amount
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), store_code
) t1 LEFT JOIN (
SELECT
SUBSTR(mgclear_time, 1, 4) AS perYear,
store_code,
SUM(goods_amt) AS return_amount
FROM custom_online_sale_bill_local
WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), store_code
) t2 ON t1.perYear = t2.perYear AND t1.store_code = t2.store_code
ORDER BY t1.perYear, (t1.sale_amount + t2.return_amount) DESC;
------------------------------------------------------------------
-- 1.3线上各店铺每年月度销售金额
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
SUBSTR(mgclear_time_t, 6, 2) AS "月份",
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",
ROUND((SUM(goods_amt_t) + SUM(order_freight_amt_t)) / COUNT(DISTINCT platform_order_no), 2) AS "订单均价（元）"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 2), store_code
ORDER BY SUBSTR(mgclear_time_t, 1, 4), store_code, SUBSTR(mgclear_time_t, 6, 2);
-- 账单店铺金额
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
SUBSTR(mgclear_time, 6, 2) AS "月份",
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 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2), store_code
ORDER BY SUBSTR(mgclear_time, 1, 4), store_code, SUBSTR(mgclear_time, 6, 2);
------------------------------------------------------------------
-- 1.4线上每年前五店铺金额分布
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 1.5线上每年各产品数量、产品销售金额
-- 订单中6条商品为空的， 忽略
SELECT COUNT() FROM custom_online_sale_order_local WHERE goods_barcode ='';
SELECT * FROM custom_online_sale_order_local;
SELECT * FROM dim_hkaudit_goods_mt WHERE barcode IN (
SELECT barcode
FROM dim_hkaudit_goods_mt GROUP BY barcode HAVING COUNT(DISTINCT goods_code) > 1)
ORDER By barcode ;
SELECT * FROM dim_hkaudit_goods_mt dhgm WHERE barcode = 'VRDBJ41159A01001A11';
SELECT * FROM dim_hkaudit_goods_mt WHERE goods_code IN (SELECT goods_barcode FROM audit_bi_pro.custom_online_sale_order_local);
SELECT * FROM dim_hkaudit_goods_mt a left join custom_online_sale_order_local b on a.barcode = b.goods_barcode ;
SELECT COUNT() FROM dim_hkaudit_goods_mt;
SELECT COUNT() FROM dim_hkaudit_goods_mt_local;
-- 不关联商品名称（每个表单独算）
--SELECT
-- SUBSTR(mgclear_time, 1, 4) AS "年份",
-- goods_barcode AS "商品条码",
-- SUM(goods_qty) AS "商品数量",
-- SUM(goods_amt) AS "商品销售金额（元）"
--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'
--GROUP BY SUBSTR(mgclear_time, 1, 4), goods_barcode
--ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt) DESC;
-- 账单店铺金额
--SELECT
-- SUBSTR(mgclear_time, 1, 4) AS "年份",
-- goods_barcode AS "商品条码",
-- SUM(goods_qty) AS "商品数量",
-- SUM(goods_amt) AS "商品销售金额（元）"
--FROM custom_online_sale_bill_local
--WHERE goods_amt >= 0 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
--GROUP BY SUBSTR(mgclear_time, 1, 4), goods_barcode
--ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt) DESC;
-- 关联名称
--SELECT
-- SUBSTR(t1.mgclear_time, 1, 4) AS "年份",
-- t1.goods_barcode AS "商品条码",
-- MAX(t2.goods_names) AS "商品名称（多个合并）",
-- SUM(t1.goods_qty) AS "商品数量",
-- SUM(t1.goods_amt) AS "商品销售金额（元）"
--FROM custom_online_sale_order_local t1
--LEFT JOIN (SELECT barcode, arrayStringConcat(groupArray(goods_desc), ',') AS goods_names FROM dim_hkaudit_goods_mt GROUP BY barcode
--) t2 ON t1.goods_barcode = t2.barcode
--WHERE t1.mgclear_time <> '' AND SUBSTR(t1.mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(t1.mgclear_time, 1, 10) <= '2025-06-30'
--GROUP BY SUBSTR(t1.mgclear_time, 1, 4), t1.goods_barcode
--ORDER BY SUBSTR(t1.mgclear_time, 1, 4), SUM(t1.goods_amt) DESC;
----------------------
-- 不关联商品名称（两表合并算）
--SELECT
-- perYear AS "年份",
-- goods_barcode AS "商品条码",
-- SUM(goods_qty) AS "商品数量",
-- SUM(goods_amt) AS "商品销售金额（元）"
--FROM (SELECT
-- SUBSTR(mgclear_time, 1, 4) AS perYear,
-- goods_barcode,
-- goods_qty,
-- goods_amt
-- 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'
-- UNION ALL
-- SELECT
-- SUBSTR(mgclear_time, 1, 4) AS perYear,
-- goods_barcode,
-- goods_qty,
-- goods_amt
-- FROM custom_online_sale_bill_local
-- WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
--)
--GROUP BY perYear, goods_barcode
--ORDER BY perYear, SUM(goods_amt) DESC;
-- 关联商品名称
SELECT
t1.perYear AS "年份",
t1.goods_barcode AS "商品条码",
MAX(t2.goods_names) AS "商品名称（多个合并）",
SUM(t1.goods_qty) AS "商品数量",
SUM(t1.goods_amt) AS "商品销售金额（元）"
FROM (SELECT
SUBSTR(mgclear_time, 1, 4) AS perYear,
goods_barcode,
goods_qty,
goods_amt
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'
UNION ALL
SELECT
SUBSTR(mgclear_time, 1, 4) AS perYear,
goods_barcode,
goods_qty,
goods_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
) t1 LEFT JOIN (
SELECT barcode, arrayStringConcat(groupArray(goods_desc), ',') AS goods_names FROM dim_hkaudit_goods_mt GROUP BY barcode
) t2 ON t1.goods_barcode = t2.barcode
GROUP BY t1.perYear, t1.goods_barcode
ORDER BY t1.perYear, SUM(t1.goods_amt) DESC;
------------------------------------------------------------------
-- 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;
-- 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
-- 同一平台订单号在多个店铺存在的有1230单 暂时不考虑这种情况
SELECT COUNT() FROM (
SELECT platform_order_no FROM custom_online_sale_order_local GROUP BY platform_order_no HAVING COUNT(DISTINCT store_code) > 1);
SELECT
a.perYear AS "年份",
a.province_t AS "省份",
a.goodsAmt AS "销售金额（元）",
a.orderFreightAmt AS "运费金额（元）",
a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）",
a.order_amt AS "订单数量",
b.all_order_count AS "订单总数量",
ROUND((a.goodsAmt + a.orderFreightAmt) / b.all_order_count, 2) AS "订单占比"
FROM (SELECT
SUBSTR(mgclear_time_t, 1, 4) AS perYear,
province_t,
SUM(goods_amt_t) AS goodsAmt,
SUM(order_freight_amt_t) AS orderFreightAmt,
COUNT(DISTINCT platform_order_no) AS order_amt
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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,
MAX(province) AS province_t
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' AND province <> ''
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), province_t
) a LEFT JOIN (
SELECT
perYear,
SUM(order_amt) AS all_order_count
FROM (SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, province, COUNT(DISTINCT platform_order_no) AS order_amt
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' AND province <> ''
GROUP BY SUBSTR(mgclear_time, 1, 4), province
) GROUP BY perYear
) b ON a.perYear = b.perYear
ORDER BY a.perYear, a.goodsAmt + a.orderFreightAmt DESC;
-- 考虑同一订单号多个店铺情况
--SELECT
-- a.perYear AS "年份",
-- a.province_t AS "省份",
-- a.goodsAmt AS "销售金额（元）",
-- a.orderFreightAmt AS "运费金额（元）",
-- a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）",
-- a.order_amt AS "订单数量",
-- b.all_order_count AS "订单总数量",
-- ROUND((a.sale_amount + a.freight_amount) / b.all_order_count, 2) AS "订单占比"
--FROM (SELECT
-- perYear,
-- province_t,
-- SUM(goods_amt_t_t) AS goodsAmt,
-- xxx
-- FROM (SELECT
-- SUBSTR(mgclear_time_t, 1, 4) AS perYear,
-- store_code,
-- province_t,
-- SUM(goods_amt_t) AS goods_amt_t_t,
-- SUM(order_freight_amt_t) AS order_freight_amt_t_t,
-- COUNT(DISTINCT platform_order_no) AS order_amt_t
-- FROM (SELECT
-- store_code,
-- MAX(store_name) AS store_name_t,
-- system_order_no,
-- platform_order_no,
-- MIN(mgclear_time) AS mgclear_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,
-- MAX(province) AS province_t
-- FROM custom_online_sale_order_local
-- GROUP BY store_code, system_order_no, platform_order_no
-- )
-- WHERE mgclear_time_t <> '' AND SUBSTR(mgclear_time_t, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time_t, 1, 10) <= '2025-06-30'
-- GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code, province_t
-- ) GROUP BY perYear, province_t
--) a
------------------------------------------------------------------
-- 2.2线上每年各等级城市销售金额、订单数量及其占比
-- 城市为空 -> 其他
-- 省直辖县级行政区 -> 区域替换城市（其他区和空也直接换）
-- 湖北省直辖县 -> 区域替换城市（其它区也直接换）
-- 县 -> 省份替换城市
-- 自治区直辖县级行政区划 -> 区域替换城市
-- 省直辖县级行政区划 -> 区域替换城市（其他区和空也直接换）
-- 新疆维吾尔自治区直辖县 -> 区域替换城市
-- 维吾尔自治区 -> 区域替换城市
-- 河南省直辖县 -> 区域替换城市
-- 市辖区 -> 省份替换城市
-- 广东 -> 区域替换城市
-- 湖北 -> 区域替换城市
SELECT city, COUNT() FROM custom_online_sale_order_local GROUP BY city;
SELECT DISTINCT region FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区' AND region = '';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区' AND region = '其它区';
SELECT DISTINCT region FROM custom_online_sale_order_local WHERE city = '湖北省直辖县';
SELECT DISTINCT province FROM custom_online_sale_order_local WHERE city = '县';
SELECT * FROM custom_online_sale_order_local WHERE city = '自治区直辖县级行政区划';
SELECT DISTINCT region FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区划';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区划' AND region = '';
SELECT * FROM custom_online_sale_order_local WHERE city = '省直辖县级行政区划' AND region = '其它区';
SELECT * FROM custom_online_sale_order_local WHERE city = '新疆维吾尔自治区直辖县';
SELECT * FROM custom_online_sale_order_local WHERE city = '维吾尔自治区';
SELECT * FROM custom_online_sale_order_local WHERE city = '河南省直辖县';
SELECT * FROM custom_online_sale_order_local WHERE city = '市辖区';
SELECT * FROM custom_online_sale_order_local WHERE city = '广东';
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
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
SELECT
a.perYear AS "年份",
a.city_grade_t AS "城市等级",
a.goodsAmt AS "销售金额（元）",
a.orderFreightAmt AS "运费金额（元）",
a.goodsAmt + a.orderFreightAmt AS "销售金额（元）（包含运费）",
a.order_amt AS "订单数量",
b.all_order_count AS "订单总数量",
ROUND((a.goodsAmt + a.orderFreightAmt) / b.all_order_count, 2) AS "订单占比"
FROM (SELECT
SUBSTR(mgclear_time_t, 1, 4) AS perYear,
city_grade_t,
SUM(goods_amt_t) AS goodsAmt,
SUM(order_freight_amt_t) AS orderFreightAmt,
COUNT(DISTINCT platform_order_no) AS order_amt
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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,
MAX(t2.city_grade) AS city_grade_t
FROM custom_online_sale_order_local t1
LEFT JOIN custom_online_city_grade_local t2 ON t1.city = t2.city
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND t2.city_grade <> ''
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), city_grade_t
) a LEFT JOIN (
SELECT
perYear,
SUM(order_amt) AS all_order_count
FROM (SELECT SUBSTR(mgclear_time, 1, 4) AS perYear, t2.city_grade, COUNT(DISTINCT platform_order_no) AS order_amt
FROM custom_online_sale_order_local t1
LEFT JOIN custom_online_city_grade_local t2 ON t1.city = t2.city
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND t2.city_grade <> ''
GROUP BY SUBSTR(mgclear_time, 1, 4), t2.city_grade
) GROUP BY perYear
) b ON a.perYear = b.perYear
ORDER BY a.perYear, a.goodsAmt + a.orderFreightAmt DESC;
------------------------------------------------------------------
-- 3.1线上每年单笔订单金额分布及其占比
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 3.2线上每年同一个收货地址的地址数量、销售金额、订单数量
-- 100053条
SELECT platform_order_no FROM custom_online_sale_order_local GROUP BY platform_order_no HAVING COUNT(DISTINCT consignee_add) > 1;
SELECT * FROM custom_online_sale_order_local WHERE platform_order_no = '4920083542368856013A';
-- SBZ换货没有标识 | 换货单或者手工单发货地址为明文，与平台是一个地址，但是平台属于密文，只取一个
-- 1869294条平台订单没有收货地址，账单的都没有
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
consignee_add_t AS "收货地址",
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"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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,
MAX(consignee_add) AS consignee_add_t
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' AND consignee_add <> ''
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), consignee_add_t
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
-- 省份+地址
--SELECT COUNT() FROM custom_online_sale_order_local WHERE consignee_add = ''; -- 1869294
--SELECT COUNT() FROM custom_online_sale_order_local WHERE province = ''; -- 1869251
--SELECT COUNT() FROM custom_online_sale_order_local WHERE consignee_add = '' AND province = ''; -- 1869249
--
--SELECT
-- SUBSTR(mgclear_time_t, 1, 4) AS "年份",
-- consignee_add_t AS "收货地址",
-- 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"
--FROM (SELECT
-- store_code,
-- MAX(store_name) AS store_name_t,
-- system_order_no,
-- platform_order_no,
-- MIN(mgclear_time) AS mgclear_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,
-- CONCAT(MAX(province), MAX(consignee_add)) AS consignee_add_t
-- 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' AND consignee_add <> ''
-- GROUP BY store_code, system_order_no, platform_order_no
--)
--GROUP BY SUBSTR(mgclear_time_t, 1, 4), consignee_add_t
--ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
------------------------------------------------------------------
-- 3.3线上每年各天和各小时订单数量和销售金额
-- mgclear_time没有时分秒的数量 28669 SBZE3的部分单子 计算各小时的需要去除,时间为空的1792612
SELECT * FROM custom_online_sale_order_local WHERE mgclear_time <> '' AND LENGTH(mgclear_time) <= 10;
-- 账单mgclear_time没有时分秒的数量 0 ,时间为空的5093196
SELECT COUNT() FROM custom_online_sale_bill_local WHERE mgclear_time = '' ;
SELECT COUNT() FROM custom_online_sale_bill_local WHERE mgclear_time <> '' AND LENGTH(mgclear_time) <= 10;
-- 账单的不能算订单数量
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
SUBSTR(mgclear_time_t, 6, 5) AS "日期",
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"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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 mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 5)
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
-- 账单店铺金额
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
SUBSTR(mgclear_time, 6, 5) AS "日期",
SUM(goods_amt) AS "销售金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 5)
ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt) DESC;
-- 按照小时算 ----------
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
time_area AS "时间区间",
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"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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,
CASE WHEN LENGTH(mgclear_time_t) > 10 THEN
CASE
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 0 THEN '0-1点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 1 THEN '1-2点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 2 THEN '2-3点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 3 THEN '3-4点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 4 THEN '4-5点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 5 THEN '5-6点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 6 THEN '6-7点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 7 THEN '7-8点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 8 THEN '8-9点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 9 THEN '9-10点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 10 THEN '10-11点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 11 THEN '11-12点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 12 THEN '12-13点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 13 THEN '13-14点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 14 THEN '14-15点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 15 THEN '15-16点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 16 THEN '16-17点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 17 THEN '17-18点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 18 THEN '18-19点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 19 THEN '19-20点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 20 THEN '20-21点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 21 THEN '21-22点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 22 THEN '22-23点'
WHEN toInt32(SUBSTR(mgclear_time_t, 12, 2)) = 23 THEN '23-24点'
END
ELSE '其他' END AS time_area
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'
GROUP BY store_code, system_order_no, platform_order_no
)
WHERE time_area <> '其他'
GROUP BY SUBSTR(mgclear_time_t, 1, 4), time_area
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
-- 账单店铺金额
-- 22 23年没有带时间的
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
time_area AS "时间区间",
SUM(goods_amt) AS "销售金额（元）"
FROM (SELECT
mgclear_time,
CASE
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 0 THEN '0-1点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 1 THEN '1-2点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 2 THEN '2-3点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 3 THEN '3-4点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 4 THEN '4-5点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 5 THEN '5-6点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 6 THEN '6-7点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 7 THEN '7-8点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 8 THEN '8-9点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 9 THEN '9-10点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 10 THEN '10-11点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 11 THEN '11-12点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 12 THEN '12-13点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 13 THEN '13-14点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 14 THEN '14-15点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 15 THEN '15-16点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 16 THEN '16-17点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 17 THEN '17-18点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 18 THEN '18-19点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 19 THEN '19-20点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 20 THEN '20-21点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 21 THEN '21-22点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 22 THEN '22-23点'
WHEN toInt32(SUBSTR(mgclear_time, 12, 2)) = 23 THEN '23-24点'
END AS time_area,
goods_amt
FROM custom_online_sale_bill_local
WHERE goods_amt >= 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30' AND LENGTH(mgclear_time) > 10
) GROUP BY SUBSTR(mgclear_time, 1, 4), time_area
ORDER BY SUBSTR(mgclear_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
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 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
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 4.2线上每年各物流承运商销售金额、订单数量
-- 932303条平台订单物流承运商为空 账单的为SBZ 40条财务手工单,无平台订单号不考虑
SELECT COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local WHERE carrier = '';
SELECT carrier, COUNT(DISTINCT platform_order_no) FROM custom_online_sale_order_local GROUP BY carrier;
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
carrierName AS "承运商",
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"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_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,
MAX(carrier) AS carrier_t,
CASE
WHEN carrier_t IN ('shunfeng') OR carrier_t LIKE 'sf%' OR carrier_t LIKE 'SF%' OR carrier_t LIKE '顺丰%' THEN '顺丰'
WHEN carrier_t IN ('postb', 'eyb') OR carrier_t LIKE 'ems%' OR carrier_t LIKE 'EMS%' THEN '邮政'
WHEN carrier_t LIKE 'yunda%' OR carrier_t LIKE 'YUNDA%' THEN '韵达'
WHEN carrier_t IN ('ZT') OR carrier_t LIKE 'zto%' OR carrier_t LIKE 'ZTO%' OR carrier_t LIKE '中通%' THEN '中通'
WHEN carrier_t LIKE 'jd%' OR carrier_t LIKE 'JD%' OR carrier_t LIKE '京东%' THEN '京东'
WHEN carrier_t IN ('ST#DW', 'ST') OR carrier_t LIKE 'sto%' OR carrier_t LIKE 'STO%' OR carrier_t LIKE '申通%' THEN '申通'
WHEN carrier_t LIKE 'jt%' OR carrier_t LIKE 'JT%' THEN '极兔'
WHEN carrier_t IN ('YT') OR carrier_t LIKE 'yto%' OR carrier_t LIKE 'YTO%' OR carrier_t LIKE '圆通%' THEN '圆通'
WHEN carrier_t IN ('rider') THEN '骑士'
WHEN carrier_t IN ('dbl') THEN '德邦'
WHEN carrier_t IN ('htky') THEN '汇通'
WHEN carrier_t IN ('QSKD') THEN '千顺'
WHEN carrier_t IN ('fengwang') THEN '丰网'
WHEN carrier_t IN ('best') THEN '百世'
WHEN carrier_t IN ('ttkdex') THEN '天天'
ELSE carrier_t
END AS carrierName
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'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), carrierName
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(goods_amt_t) + SUM(order_freight_amt_t) DESC;
------------------------------------------------------------------
-- 4.3线上每年各月物流单数量
-- 按照最小下单时间，物流单往前归
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
SUBSTR(mgclear_time, 6, 2) AS "月份",
COUNT(DISTINCT main_logistic_bill) AS "物流单数量"
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' AND main_logistic_bill <> ''
GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2)
ORDER BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2);
------------------------------------------------------------------
-- 5.1线上各店铺每年度退款金额
-- 账单有没有和退款中重复的？？？？？？？？？？？？？
-- 1200609条平台订单号为空
SELECT COUNT() FROM custom_online_sale_return_local WHERE platform_order_no = '';
-- 没有
SELECT * FROM custom_online_sale_return_local WHERE platform_order_no <> '' AND platform_order_no IN (SELECT platform_order_no FROM custom_online_sale_bill_local);
-- 593条 DYE2 SF00891-19条
SELECT * FROM custom_online_sale_return_local WHERE store_code IN (SELECT store_code FROM custom_online_sale_bill_local);
-- 1299161
SELECT * FROM custom_online_sale_return_local WHERE mgclear_time = '';
-- 换货的退款不区分 退款订单数量识别不出来，合并发货的平台单A,B,C只退B，退款平台单号也是A,B,C
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
store_code AS "店铺编码",
MAX(store_name_t) AS "店铺名称",
SUM(return_goods_amt_t) AS "退款金额（元）",
SUM(return_freight_amt_t) AS "退款运费金额（元）",
SUM(return_goods_amt_t) + SUM(return_freight_amt_t) AS "退款金额（元）（包含退款运费）"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_time_t,
MAX(return_freight_amt) AS return_freight_amt_t,
SUM(return_goods_qty) AS return_goods_qty_t,
SUM(return_goods_amt) AS return_goods_amt_t
FROM custom_online_sale_return_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), store_code
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUM(return_goods_amt_t) + SUM(return_freight_amt_t);
-- 账单店铺金额
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
store_code AS "店铺编码",
MAX(store_name) AS "店铺名称",
SUM(goods_amt) AS "退款金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), store_code
ORDER BY SUBSTR(mgclear_time, 1, 4), SUM(goods_amt);
------------------------------------------------------------------
-- 5.2线上各店铺每年退款订单数量
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 5.3线上每年退款大于原销售的差异金额、订单数量
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 5.4线上每年各月退款金额
SELECT
SUBSTR(mgclear_time_t, 1, 4) AS "年份",
SUBSTR(mgclear_time_t, 6, 2) AS "月份",
SUM(return_goods_amt_t) AS "退款金额（元）",
SUM(return_freight_amt_t) AS "退款运费金额（元）",
SUM(return_goods_amt_t) + SUM(return_freight_amt_t) AS "退款金额（元）（包含退款运费）"
FROM (SELECT
store_code,
MAX(store_name) AS store_name_t,
system_order_no,
platform_order_no,
MIN(mgclear_time) AS mgclear_time_t,
MAX(return_freight_amt) AS return_freight_amt_t,
SUM(return_goods_qty) AS return_goods_qty_t,
SUM(return_goods_amt) AS return_goods_amt_t
FROM custom_online_sale_return_local
WHERE mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY store_code, system_order_no, platform_order_no
)
GROUP BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 2)
ORDER BY SUBSTR(mgclear_time_t, 1, 4), SUBSTR(mgclear_time_t, 6, 2);
-- 账单店铺金额
SELECT
SUBSTR(mgclear_time, 1, 4) AS "年份",
SUBSTR(mgclear_time, 6, 2) AS "月份",
SUM(goods_amt) AS "退款金额（元）"
FROM custom_online_sale_bill_local
WHERE goods_amt < 0 AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2)
ORDER BY SUBSTR(mgclear_time, 1, 4), SUBSTR(mgclear_time, 6, 2);
------------------------------------------------------------------
-- 5.5线上每年各月退款订单数量
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 5.6线上每年订单退款金额分布
-- xxxxxxxxxxxxxxxxx 识别不出准确订单数量
------------------------------------------------------------------
-- 6.1线上每年净销售金额前100订单净销售金额
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 6.2线上每年净销售金额前100订单各省份净销售金额
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 6.3线上每年净销售金额前100订单各商品净销售金额
-- xxxxxxxxxxxxxxxxx
------------------------------------------------------------------
-- 7.1线上每年会员数量
-- 19年有会员系统，所以很多没有注册门店
SELECT brand, COUNT() FROM dwd_basic_all_vip_info_dd WHERE member_register_shop = '' GROUP BY brand ;
SELECT SUBSTR(member_register_time, 1, 4), COUNT() FROM dwd_basic_all_vip_info_dd WHERE member_register_shop = '' AND brand = 'BES' GROUP BY SUBSTR(member_register_time, 1, 4);
-- 账单没有
SELECT * FROM custom_online_sale_bill_local WHERE store_code IN (SELECT member_register_shop FROM dwd_basic_all_vip_info_dd);
-- 3345273
SELECT * FROM custom_online_sale_order_local WHERE store_code IN (SELECT member_register_shop FROM dwd_basic_all_vip_info_dd);
-- 30条会员数据没有注册时间
SELECT COUNT(DISTINCT t2.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 = '';
-- 每年底数量
SELECT
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 4) < '2023' THEN t2.member_id END) AS count_2022,
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 4) < '2024' THEN t2.member_id END) AS count_2023,
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 4) < '2025' THEN t2.member_id END) AS count_2024,
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 10) <= '2025-06-30' THEN t2.member_id END) AS count_20250630
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 <> '';
------------------------------------------------------------------
-- 7.2线上每年活跃会员数量及其占比
-- 1363725条积分变动数据变动时间为空
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 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 SUBSTR(t2.member_register_time, 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 <> '');
SELECT * FROM custom_online_sale_order_local WHERE system_order_no IN (SELECT bill_no FROM dwd_basic_all_vip_point_dd WHERE bill_no <> '');
SELECT * FROM custom_online_sale_order_local t1 INNER JOIN dwd_basic_all_vip_point_dd t2 ON t1.system_order_no = t2.bill_no;
SELECT * FROM custom_online_sale_order_local t1 INNER JOIN dwd_basic_all_vip_point_dd t2 ON t1.platform_order_no = t2.bill_no;
SELECT
a.perYear "年份",
a.member_count AS "活跃会员数量",
ROUND(a.member_count /
CASE
WHEN a.perYear = '2022' THEN b.count_2022
WHEN a.perYear = '2023' THEN b.count_2023
WHEN a.perYear = '2024' THEN b.count_2024
WHEN a.perYear = '2025' THEN b.count_20250630
END
, 4) AS "活跃会员占比"
FROM (SELECT SUBSTR(change_time, 1, 4) AS perYear, COUNT(DISTINCT member_id) AS member_count
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'
GROUP BY SUBSTR(change_time, 1, 4)
) a, (
SELECT
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 4) < '2023' THEN t2.member_id END) AS count_2022,
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 4) < '2024' THEN t2.member_id END) AS count_2023,
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 4) < '2025' THEN t2.member_id END) AS count_2024,
COUNT(DISTINCT CASE WHEN SUBSTR(t2.member_register_time, 1, 10) <= '2025-06-30' THEN t2.member_id END) AS count_20250630
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 <> ''
) b
ORDER BY a.perYear;
------------------------------------------------------------------
-- 7.3线上每年会员新增、注销数量
-- 每年新增
SELECT SUBSTR(t2.member_register_time, 1, 4), COUNT(DISTINCT t2.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 SUBSTR(t2.member_register_time, 1, 10) <= '2025-06-30'
GROUP BY SUBSTR(t2.member_register_time, 1, 4)
ORDER BY SUBSTR(t2.member_register_time, 1, 4);
-- 注销没数据
------------------------------------------------------------------
-- 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;
------------------------------------------------------------------

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-- 统计系统、品牌、店铺
SELECT DISTINCT source_system FROM dwd_trade_hkaudit_ecommerce_sale_mt;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system = 'PF_ESP';
SELECT SUBSTR(order_date, 1, 4), brand_code FROM dwd_trade_hkaudit_ecommerce_sale_mt
GROUP BY SUBSTR(order_date, 1, 4), brand_code ORDER BY SUBSTR(order_date, 1, 4);
SELECT SUBSTR(order_date, 1, 4), store_code, MAX(store_name) FROM dwd_trade_hkaudit_ecommerce_sale_mt
GROUP BY SUBSTR(order_date, 1, 4), store_code ORDER BY SUBSTR(order_date, 1, 4);
SELECT COUNT(DISTINCT store_code) FROM dwd_trade_hkaudit_ecommerce_sale_mt;
-- 赠品有金额
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE is_gift = '是' AND goods_amt > 0;
-- 钱货两清时间24年，支付25年
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE platform_order_no = '3725079539738352640';
SELECT source_system, brand_code , order_time , system_order_no , store_code , store_name , manual_order , is_swap_order , platform_order_no ,
pay_time , deliver_time , mgclear_time , main_logistic_bill
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time < order_time AND manual_order <> '是';
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time < order_time AND manual_order = '是' AND mgclear_time <> '';
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time = '' AND manual_order = '是';
SELECT store_code , MAX(store_name), sum(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE SUBSTR(mgclear_time, 1, 4) < '2022' AND brand_code NOT IN ('SBZ', 'YEO') AND order_date < '2025-07-01' AND mgclear_time <> ''
GROUP BY store_code;
SELECT COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time = '' AND order_date < '2025-07-01';
SELECT brand_code, COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time = ''
GROUP BY brand_code ;
SELECT store_code, SUBSTR(order_date, 1, 7), MAX(store_name), COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time = ''
GROUP BY store_code, SUBSTR(order_date, 1, 7);
SELECT source_system, brand_code, COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time <> '' AND mgclear_time < order_time
GROUP BY source_system, brand_code;
SELECT DISTINCT store_code
FROM custom_online_sale_order_local
WHERE mgclear_time <> '' AND mgclear_time < order_time
AND source_system = 'SBZE3';
SELECT *
FROM custom_online_sale_order_local
WHERE mgclear_time <> '' AND mgclear_time < order_time
AND source_system = 'SBZE3' AND store_code = 'SW00067';
SELECT source_system, brand_code
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time < order_time AND manual_order <> '是'
GROUP BY source_system, brand_code;
SELECT brand, COUNT() FROM dwd_basic_all_vip_info_dd WHERE member_register_shop = '' GROUP BY brand ;
SELECT SUBSTR(member_register_time, 1, 4), COUNT() FROM dwd_basic_all_vip_info_dd WHERE member_register_shop = '' AND brand = 'BES' GROUP BY SUBSTR(member_register_time, 1, 4);
-- 所有品牌
SELECT DISTINCT brand_code
FROM dwd_trade_hkaudit_ecommerce_sale_mt;
-- 斯博兹 京东奥莱店铺
SELECT store_code, MAX(store_name), SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE store_name IN ('京东奥莱官方旗舰店', '京东奥莱秒送店')
AND order_date >= '2024-01-01' AND order_date < '2025-07-01'
GROUP BY store_code;
SELECT store_code, MAX(store_name), SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE brand_code = 'SBZ'
AND order_date >= '2024-01-01' AND order_date < '2025-07-01'
GROUP BY store_code ORDER BY SUM(goods_amt) DESC;
-- 斯博兹按年月排(下单时间)
SELECT SUBSTR(order_date, 1, 7), SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE brand_code = 'SBZ'
GROUP BY SUBSTR(order_date, 1, 7)
ORDER BY SUM(goods_amt);
-- 斯博兹按年月排(钱货两清时间)
SELECT SUBSTR(mgclear_time, 1, 7), SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE brand_code = 'SBZ'
GROUP BY SUBSTR(mgclear_time, 1, 7)
ORDER BY SUM(goods_amt);
-- 各品牌钱货两清时间为空的按照下单时间统计
SELECT brand_code, SUBSTR(order_time, 1, 7), COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE mgclear_time IS NULL OR mgclear_time = ''
GROUP BY brand_code, SUBSTR(order_time, 1, 7);
-- 订单结算金额为负的没有
-- 订单商品结算金额为负 -1102996285.66
SELECT SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE goods_amt < 0;
-- 具体数据
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE goods_amt < 0 LIMIT 1000;
-- 按照店铺分
SELECT store_code, MAX(store_name), SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE goods_amt < 0
GROUP BY store_code;
-- 店铺编码对应多个名称 176家存在
SELECT store_code, COUNT(DISTINCT store_name)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
GROUP BY store_code HAVING COUNT(DISTINCT store_name) > 1;
-- 线上销售均摊金额之和是否等于订单结算金额
SELECT a.platform_order_no, a.order_amount, b.goods_amount FROM
(SELECT platform_order_no, MAX(order_settle_amt) AS order_amount
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE platform_order_no <> '' AND platform_order_no IS NOT NULL
GROUP BY platform_order_no) a
LEFT JOIN (SELECT platform_order_no, SUM(goods_amt) AS goods_amount
FROM dwd_trade_hkaudit_ecommerce_sale_mt
GROUP BY platform_order_no) b ON a.platform_order_no = b.platform_order_no
WHERE a.order_amount <> b.goods_amount;
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE platform_order_no = '284444210101';
-- 换货单查询
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE is_swap_order <> '否';
-- 为空的 4912136
SELECT COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE is_swap_order = '';
-- 下单和发货间隔
-- 发货时间为空的 手工单 41 总共 14193791
SELECT
COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE manual_order = '是' AND deliver_time = '';
SELECT
COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE deliver_time = '';
-- 发货时间为空的数据查询
SELECT
store_code, MAX(store_name), COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE deliver_time = '' AND SUBSTR(order_date, 1, 4) = '2024'
AND store_name NOT LIKE '%唯品会%' AND store_name NOT LIKE '%京东自营%' AND brand_code <> 'SBZ'
GROUP BY store_code ;
-- 按店铺各月发货时间为空分布
SELECT
store_code, MAX(store_name), SUBSTR(order_date, 1, 7), COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE deliver_time = '' AND store_name NOT LIKE '%唯品会%'
GROUP BY store_code, SUBSTR(order_date, 1, 7);
SELECT
store_code, MAX(store_name), source_platform , COUNT(), COUNT(DISTINCT platform_order_no), COUNT(DISTINCT system_order_no)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE deliver_time = '' AND store_name NOT LIKE '%唯品会%'
GROUP BY store_code, source_platform ;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE store_code = 'SF00242';
SELECT
*
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE deliver_time = '' AND SUBSTR(order_date, 1, 4) = '2024' AND store_code IN ('S000001');
-- 发货间隔 3天以上 44507 >7 30796 > 15 23021 >30 20540
SELECT
COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE manual_order = '是' AND deliver_time <> '' AND dateDiff('day', toDateTime(order_time), toDateTime(deliver_time)) > 30;
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE manual_order = '是' AND deliver_time <> '' AND dateDiff('day', toDateTime(order_time), toDateTime(deliver_time)) > 30;
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)
FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time <> '' AND YEAR(toDate(mgclear_time)) = '2024';
SELECT
SUM(return_goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE mgclear_time <> '' AND YEAR(toDate(mgclear_time)) = '2024';
SELECT
SUM(special_barcode_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_change_mt WHERE mgclear_time <> '' AND YEAR(toDate(mgclear_time)) = '2024';
-- 每个店铺每年收入情况
-- 不同店铺相同订单号 802
SELECT platform_order_no
FROM dwd_trade_hkaudit_ecommerce_sale_mt
GROUP BY platform_order_no HAVING COUNT(DISTINCT store_code) > 1;
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE platform_order_no = '4155933925640151503';
-- 带入店铺算
SELECT a.perYear, a.store_code, MAX(a.store_name), SUM(a.sale_amount), SUM(b.sale_refund_amount), SUM(c.sale_change_amount)
FROM (SELECT
SUBSTR(order_date, 1, 4) AS perYear,
store_code,
MAX(store_name) AS store_name,
platform_order_no,
SUM(goods_amt) AS sale_amount
FROM dwd_trade_hkaudit_ecommerce_sale_mt
--WHERE SUBSTR(order_date, 1, 4) = '2024'
GROUP BY SUBSTR(order_date, 1, 4), store_code, platform_order_no) a
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(return_goods_amt) AS sale_refund_amount
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
GROUP BY store_code, platform_order_no
) b ON a.store_code = b.store_code AND a.platform_order_no = b.platform_order_no
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS sale_change_amount
FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
GROUP BY store_code, platform_order_no
) c ON a.store_code = c.store_code AND a.platform_order_no = c.platform_order_no
GROUP BY a.perYear, a.store_code;
SELECT a.perYear, a.store_code, MAX(a.store_name), SUM(a.sale_amount), SUM(b.sale_refund_amount), SUM(c.sale_change_amount)
FROM (SELECT
SUBSTR(order_date, 1, 4) AS perYear,
store_code,
MAX(store_name) AS store_name,
platform_order_no,
SUM(goods_amt) AS sale_amount
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE order_date >= '2025-01-01' AND order_date < '2025-07-01'
GROUP BY SUBSTR(order_date, 1, 4), store_code, platform_order_no) a
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(return_goods_amt) AS sale_refund_amount
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
GROUP BY store_code, platform_order_no
) b ON a.store_code = b.store_code AND a.platform_order_no = b.platform_order_no
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS sale_change_amount
FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
GROUP BY store_code, platform_order_no
) c ON a.store_code = c.store_code AND a.platform_order_no = c.platform_order_no
GROUP BY a.perYear, a.store_code;
SELECT a.perYear, a.store_code, MAX(a.store_name), SUM(a.sale_amount), SUM(b.sale_refund_amount), SUM(c.sale_change_amount)
FROM (SELECT
SUBSTR(order_date, 1, 4) AS perYear,
store_code,
MAX(store_name) AS store_name,
platform_order_no,
SUM(goods_amt) AS sale_amount
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE SUBSTR(order_date, 1, 4) = '2024' AND store_code = 'DHF3'
GROUP BY SUBSTR(order_date, 1, 4), store_code, platform_order_no) a
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(return_goods_amt) AS sale_refund_amount
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
GROUP BY store_code, platform_order_no
) b ON a.store_code = b.store_code AND a.platform_order_no = b.platform_order_no
LEFT JOIN (
SELECT store_code, platform_order_no, SUM(special_barcode_amt) AS sale_change_amount
FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
GROUP BY store_code, platform_order_no
) c ON a.store_code = c.store_code AND a.platform_order_no = c.platform_order_no
GROUP BY a.perYear, a.store_code;
-- 发货调整数量不为0的
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
WHERE goods_qty <> 0 AND SUBSTR(create_date, 1, 4) = '2023';
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
WHERE system_order_no = 'BS513100011188';
-- 销售有负数 退销有正数
SELECT source_system, COUNT() FROM
dwd_trade_hkaudit_ecommerce_sale_mt WHERE goods_amt < 0
GROUP BY source_system ;
SELECT MAX(source_system) , store_code, MAX(store_name), COUNT() FROM
dwd_trade_hkaudit_ecommerce_sale_mt WHERE goods_amt < 0
GROUP BY store_code ;
SELECT COUNT()
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
WHERE return_goods_amt > 0;
SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
WHERE system_order_no = 'BS210100000263';
SELECT source_system, COUNT() FROM
dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no LIKE 'FHTZ%'
GROUP BY source_system;
SELECT DISTINCT store_name
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system = 'PF_ECP';
-- 订单重复行计算 140579734
SELECT COUNT(DISTINCT *) FROM dwd_trade_hkaudit_ecommerce_sale_mt;
-- 145002782
SELECT COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt;
-- 取数查看
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE system_order_no IN (
SELECT system_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE system_order_no IN (
SELECT system_order_no
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system = 'E3PLUS_NEW'
GROUP BY system_order_no, platform_order_no, goods_barcode, goods_amt
HAVING COUNT() > 1
)
GROUP BY system_order_no HAVING MAX(order_settle_amt) < SUM(goods_amt)
) ORDER BY system_order_no DESC;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE system_order_no = 'BS4A0300002724';
-- 退销平台单号查看（是否和销售单号关联）
SELECT SUM(platform_order_num)
FROM (SELECT store_code, COUNT(DISTINCT platform_order_no) AS platform_order_num
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE SUBSTR(create_time, 1, 10) >= '2025-01-01' AND SUBSTR(create_time, 1, 10) < '2025-07-01'
GROUP BY store_code);
SELECT SUM(platform_order_num)
FROM (
SELECT store_code, COUNT(DISTINCT platform_order_no) AS platform_order_num
FROM (SELECT *
FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
WHERE SUBSTR(create_time, 1, 10) >= '2025-01-01' AND SUBSTR(create_time, 1, 10) < '2025-03-01' ) a
INNER JOIN (SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE SUBSTR(order_date, 1, 4) = '2025') b ON a.store_code = b.store_code AND a.platform_order_no = b.platform_order_no
GROUP BY store_code
);
SELECT source_platform, store_code, MAX(store_name), SUM(goods_amt)
FROM dwd_trade_hkaudit_ecommerce_sale_mt
GROUP BY source_platform, store_code ORDER BY SUM(goods_amt) DESC;
-- 账单：BS3B1900003767 BS392000041139
SELECT * FROM dwd_trade_hkaudit_ecommerce_account_mt dtheam WHERE bill_source = '1' AND SUBSTR(transaction_date, 1, 4) = '2024' AND matching_status = '1';
SELECT * FROM dwd_trade_hkaudit_ecommerce_account_mt dtheam WHERE matching_no = 'BS3923R0002529';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt dthesm WHERE platform_order_no LIKE '%231119-419587705691524%';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt dthesm WHERE system_order_no = 'BS392000041139';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_return_mt dthesrm WHERE platform_order_no LIKE '%,%';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_return_mt dthesrm WHERE system_order_no = 'BS3923R0002529';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_change_mt dthescm WHERE platform_order_no IN ('231119-071838012891524,231119-419587705691524');
-- 18,615,790
SELECT COUNT(DISTINCT system_order_no) FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DHF3' AND mgclear_time <> '' AND is_gift <> '是';
-- 14,621,773 14,641,473
SELECT COUNT(DISTINCT matching_no) FROM dwd_trade_hkaudit_ecommerce_account_mt WHERE matching_no IN (
SELECT DISTINCT system_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DHF3' AND mgclear_time <> ''
);
--
SELECT COUNT(DISTINCT system_order_no) FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DHF3' AND mgclear_time <> '' AND is_gift <> '是' AND system_order_no IN (
SELECT DISTINCT matching_no FROM dwd_trade_hkaudit_ecommerce_account_mt
);
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DHF3' AND mgclear_time <> '' AND is_gift <> '是' AND system_order_no NOT IN (
SELECT DISTINCT matching_no FROM dwd_trade_hkaudit_ecommerce_account_mt
);
-- TM490900000511
SELECT * FROM dwd_trade_hkaudit_ecommerce_account_mt WHERE matching_no = 'TM461000000493';
SELECT * FROM dwd_trade_hkaudit_ecommerce_account_mt WHERE transaction_no = '2185819176131246881';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE platform_order_no LIKE '%4037358494865750517%';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no = 'TM461000000493';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE association_order_no = 'TM461000000493';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE platform_order_no LIKE '%4037358494865750517%';
SELECT * FROM dwd_trade_hkaudit_ecommerce_account_mt dtheam WHERE transaction_no = '2520559669307517693';
-- 两边已两清的，账单应收的
SELECT
SUM(a.sale_amount),
SUM(b.sale_refund_amount),
SUM(c.amount_sum),
SUM(d.order_freight_amt),
SUM(f.sale_change_amount)
FROM (SELECT
platform_order_no,
SUM(goods_amt) AS sale_amount
FROM custom_online_sale_local
WHERE store_code = 'DHF3' AND mgclear_time <> '' AND order_date = '2024-04-13'
GROUP BY platform_order_no) a
LEFT JOIN (
SELECT platform_order_no, SUM(return_goods_amt) AS sale_refund_amount
FROM custom_online_sale_return_local
WHERE store_code = 'DHF3'
GROUP BY platform_order_no
) b ON a.platform_order_no = b.platform_order_no
LEFT JOIN (
SELECT transaction_no, SUM(amount) AS amount_sum
FROM dwd_trade_hkaudit_ecommerce_account_mt
WHERE shop_code = 'DHF3' AND bill_type = '1' AND quits_status = '1'
GROUP BY transaction_no
) c ON a.platform_order_no = c.transaction_no
LEFT JOIN (
SELECT platform_order_no, SUM(order_freight_amt_t) AS order_freight_amt
FROM (SELECT
system_order_no,
platform_order_no,
MAX(order_freight_amt) AS order_freight_amt_t
FROM custom_online_sale_local
WHERE store_code = 'DHF3' AND mgclear_time <> '' AND order_date = '2024-04-13' AND order_freight_amt > 0
GROUP BY system_order_no, platform_order_no
) GROUP BY platform_order_no
) d ON a.platform_order_no = d.platform_order_no
LEFT JOIN (
SELECT platform_order_no, SUM(special_barcode_amt) AS sale_change_amount
FROM custom_online_sale_change_local
WHERE store_code = 'DHF3'
GROUP BY platform_order_no
) f ON a.platform_order_no = f.platform_order_no;
SELECT COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE order_date < '2022-01-01';
SELECT source_system, COUNT(DISTINCT system_order_no) FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE order_date < '2022-01-01' GROUP BY source_system;
SELECT brand_code, COUNT(DISTINCT system_order_no) FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE order_date < '2022-01-01' AND source_system = 'E3PLUS_NEW2' GROUP BY brand_code;
SELECT COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system = 'EC_HIS' AND store_code = 'DHF3';
SELECT brand_code, SUBSTR(create_date, 1, 7), COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_return_mt dthesrm WHERE platform_order_no IN (
SELECT platform_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time <> '' GROUP BY platform_order_no)
AND mgclear_time = '' AND brand_code = 'HLA' GROUP BY brand_code, SUBSTR(create_date, 1, 7) ;
SELECT COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system = 'SBZ' AND platform_order_no IN (
SELECT platform_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system = 'SBZ_HIS'
);
-- 结算不等于商品总额的
SELECT * FROM
(SELECT store_code, system_order_no, MAX(order_settle_amt) AS order_settle_amt, MAX(order_freight_amt) AS order_freight_amt
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system NOT LIKE 'EC%' AND store_name NOT LIKE '%唯品会%' AND store_name NOT LIKE '%京东自营%' AND store_name NOT LIKE '%英式%'
GROUP BY store_code, system_order_no
) a LEFT JOIN (
SELECT store_code, system_order_no, SUM(goods_amt) AS goods_amt
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system NOT LIKE 'EC%' AND store_name NOT LIKE '%唯品会%' AND store_name NOT LIKE '%京东自营%' AND store_name NOT LIKE '%英式%'
GROUP BY store_code, system_order_no
) b ON a.store_code = b.store_code AND a.system_order_no = b.system_order_no
WHERE a.order_settle_amt <> b.goods_amt ;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no = '3201016386813';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no = '3203069261697';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no = 'BS282100018218';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE platform_order_no LIKE '%235316176071%';
SELECT system_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt GROUP BY system_order_no HAVING MAX(order_settle_amt) <> 0 AND SUM(goods_amt) = 0;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE platform_order_no IN
(SELECT platform_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE is_swap_order = '是' AND store_name LIKE '%京东%' AND brand_code <> 'SBZ')
ORDER BY platform_order_no;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt dthesm WHERE platform_order_no = '213591262551';
SELECT DISTINCT store_code , store_name FROM dim_hkaudit_store_mt WHERE brand_code = 'HLA' AND store_name LIKE '%京东%' ;
SELECT DISTINCT store_code, store_name FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code IN (
SELECT DISTINCT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE goods_amt < 0 AND store_name NOT LIKE '%唯品会%' AND store_name NOT LIKE '%京东自营%')
ORDER BY platform_order_no ;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DYQ2';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE goods_amt < 0 AND source_system LIKE '%E3%';
SELECT source_system, COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE platform_order_no = '' GROUP BY source_system;
PF_ECP_NEW2 5190094
PF_OCP_NEW 541202
PF_ESP_NEW 553009
SBZE3 7648558
PF_YEP_NEW 1079740
PF_ECP_NEW2 5190094
SBZE3 5093236
PF_OCP_NEW 541202
PF_YEP_NEW 1079740
PF_ESP_NEW 553009
SELECT SUBSTR(system_order_no, 1, 7), COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system = 'SBZE3' AND platform_order_no = '' GROUP BY SUBSTR(system_order_no, 1, 7);
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE brand_code = 'SBZ' AND platform_order_no = '' AND system_order_no LIKE '%XSDD%';
SELECT store_code FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system <> 'EC_HIS_NEW' 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 'PF%'
GROUP BY store_code HAVING COUNT(DISTINCT source_system) > 1 ;
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;
SELECT DISTINCT source_system FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DYE2';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DYE2';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE platform_order_no = '22011819700880';
SELECT source_system, manual_order, COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time <> '' AND mgclear_time < order_time GROUP BY source_system, manual_order ;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time <> '' AND mgclear_time < order_time AND source_system = 'PF_ESP_NEW';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE mgclear_time <> '' AND mgclear_time < order_time AND source_system IN ('E3PLUS_NEW2','EC_HIS_NEW')
AND dateDiff('day', toDateTime(mgclear_time), toDateTime(order_time)) > 1;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE deliver_time < order_time AND source_system IN ('E3PLUS_NEW2','EC_HIS_NEW')
AND dateDiff('day', toDateTime(deliver_time), toDateTime(order_time)) > 1;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE deliver_time < order_time AND source_system IN ('E3PLUS_NEW2','EC_HIS_NEW') AND manual_order = '';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE SUBSTR(order_date, 1, 4) = '2121';
-- 346691892 , 246212129
SELECT * FROM dwd_basic_all_vip_info_dd dbavid WHERE member_register_shop = '';
SELECT * FROM dwd_basic_all_vip_info_dd WHERE member_id IN (SELECT member_id FROM dwd_basic_all_vip_info_dd GROUP BY member_id HAVING COUNT() > 1) ORDER BY member_id ;
SELECT * FROM dwd_basic_all_vip_info_dd WHERE member_register_shop = '' AND brand = 'HLA' ORDER BY member_register_time desc;
SELECT bill_no, COUNT() FROM dwd_basic_all_vip_point_dd dbavid GROUP BY bill_no HAVING COUNT() > 1 order by COUNT() DESC;
SELECT * FROM dwd_basic_all_vip_point_dd dbavid WHERE bill_no = '01H3HP2311120001';
SELECT * FROM dwd_basic_all_vip_point_dd dbavid WHERE bill_no = '01H3HP2311120001';
SELECT * FROM dwd_basic_all_vip_point_dd dbavid WHERE bill_no LIKE 'BS%';
SELECT DISTINCT substr(system_order_no, 1, 2) FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE source_system = 'SBZE3';
SELECT DISTINCT substr(system_order_no, 1, 4) FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE source_system = 'SBZE3' AND substr(system_order_no, 1, 2) IN ('XS', 'JX');
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE substr(system_order_no, 1, 5) = 'XSJSD';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE platform_order_no = '';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE source_system = 'SBZE3' AND create_date = '2025-03-28' AND return_goods_code = 'JP98143.5';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system = 'SBZE3' AND order_date = '2025-03-28' AND goods_qty < 0;
SELECT COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_return_mt WHERE source_system = 'SBZE3' AND SUBSTR(system_order_no, 1, 5) = 'XSJSD' AND return_goods_qty < 0;
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt dthesm WHERE SUBSTR(order_date, 1, 4) > '2100';
SELECT * FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE system_order_no = '12012533354151';
SELECT COUNT() FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE source_system LIKE 'PF%' AND SUBSTR(order_time, 1, 4) < '2022';
SELECT DISTINCT store_name FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_name LIKE '%微商城%';
-- 闭店还有单子产生吗
-- 相差时间间隔
SELECT store_code, brand_code, COUNT(DISTINCT system_order_no), SUM(order_settle_amt_t)
FROM (SELECT store_code, brand_code, system_order_no, MAX(order_settle_amt) AS order_settle_amt_t FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system LIKE 'E3PLUS%' AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) < '2025-07-01'
GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;
SELECT store_code, brand_code, COUNT(DISTINCT system_order_no), SUM(order_settle_amt_t)
FROM (SELECT store_code, brand_code, system_order_no, MAX(order_settle_amt) AS order_settle_amt_t FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system LIKE 'E3PLUS%' AND SUBSTR(order_time, 1, 10) < '2025-07-01'
GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;
SELECT DISTINCT system_order_no FROM dwd_trade_hkaudit_ecommerce_sale_mt WHERE store_code = 'DHZQ' AND source_system LIKE 'E3PLUS%' AND SUBSTR(order_time, 1, 10) < '2025-07-01';
SELECT store_code, brand_code, COUNT(DISTINCT system_order_no), SUM(return_goods_amt_t)
FROM (SELECT store_code, brand_code, system_order_no, SUM(return_goods_amt) AS return_goods_amt_t FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
WHERE source_system LIKE 'E3PLUS%' AND SUBSTR(create_time, 1, 10) < '2025-07-01'
GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;
-- EC
SELECT store_code, brand_code, COUNT(DISTINCT system_order_no), SUM(order_settle_amt_t)
FROM (SELECT store_code, brand_code, system_order_no, MAX(order_settle_amt) AS order_settle_amt_t FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE source_system LIKE 'EC%' AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) < '2025-07-01'
GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;
SELECT store_code, brand_code, COUNT(DISTINCT system_order_no), SUM(return_goods_amt_t)
FROM (SELECT store_code, brand_code, system_order_no, SUM(return_goods_amt) AS return_goods_amt_t FROM dwd_trade_hkaudit_ecommerce_sale_return_mt
WHERE source_system LIKE 'EC%' AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) < '2025-07-01'
GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;
SELECT store_code, brand_code, COUNT(DISTINCT system_order_no), SUM(special_barcode_amt_t)
FROM (SELECT store_code, brand_code, system_order_no, SUM(special_barcode_amt) AS special_barcode_amt_t FROM dwd_trade_hkaudit_ecommerce_sale_change_mt
WHERE source_system LIKE 'EC%%' AND mgclear_time <> '' AND SUBSTR(mgclear_time, 1, 10) >= '2022-01-01' AND SUBSTR(mgclear_time, 1, 10) < '2025-07-01'
GROUP BY store_code, brand_code, system_order_no
) GROUP BY store_code, brand_code
ORDER BY brand_code, store_code;

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需求/取数需求-IT.xlsx
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