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Author SHA1 Message Date
zhumr
48622005bc 212 2025-09-18 19:11:51 +08:00
zhumr
cdb0515e07 0918SQL 2025-09-18 18:31:17 +08:00
1 changed files with 404 additions and 1 deletions
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SQL.sql
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@@ -1 +1,404 @@
<<<<<<< HEAD
-- 线上店铺年度销售金额、订单数量、退款金额、退款订单数、订单均价
SELECT
sales.store_name as '店铺名称',
year(sales.order_date) AS '年份',
round(sum(sales.order_settle_amt),2) as '销售金额',
COUNT(sales.platform_order_no) +
SUM(LENGTH(sales.platform_order_no) - LENGTH(REPLACE(sales.platform_order_no, ',', ''))) as '订单数量',
round(sum(change.special_barcode_amt),2) as '退款金额',
count(refund.platform_order_no) as '退款订单数',
round(sum(sales.order_settle_amt)/count(sales.platform_order_no),2) as '订单均价'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt sales
left join dwd_trade_hkaudit_ecommerce_sale_return_mt refund
on sales.platform_order_no = refund.platform_order_no
left join dwd_trade_hkaudit_ecommerce_sale_change_mt change
on refund.platform_order_no = change.platform_order_no
WHERE
sales.order_date >= '2022-01-01 00:00:00'
AND sales.order_date <'2025-07-31 00:00:00'
GROUP BY
sales.store_name, year(sales.order_date)
ORDER BY
sales.store_name ASC, 年份 ASC
-- 线下店铺年度销售金额、订单数量、退款金额、退款订单数、订单均价
SELECT
store_name as '店铺名称',
YEAR(pay_date) as '年份',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额',
count(CASE WHEN pay_amt > 0 THEN receipt_no ELSE NULL END) as '订单数量',
round(abs(sum(CASE WHEN pay_amt < 0 THEN pay_amt ELSE 0 END)), 2) as '退款金额',
count(CASE WHEN pay_amt < 0 THEN receipt_no ELSE NULL END) as '退款订单数'
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >= '2022-01-01 00:00:00'
AND pay_date < '2025-07-01 00:00:00'
GROUP BY
store_name, YEAR(pay_date)
ORDER BY
store_name ASC, 年份 ASC;
-- 线上店铺月度销售金额
SELECT
store_name as '店铺名称',
YEAR(order_date) as '年份',
month(order_date) as '月份',
round(sum(order_settle_amt),2) as '销售金额'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >= '2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00'
GROUP BY
store_name,年份,月份
order BY
store_name,年份 asc,月份 asc
-- 线下店铺月度销售金额
SELECT
store_name as '店铺名称',
year(pay_date) as '年份',
month(pay_date) as '月份',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额'
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >= '2022-01-01 00:00:00'
AND pay_date <'2025-07-01 00:00:00'
GROUP BY
store_name,year(pay_date),month(pay_date)
order BY
store_name,年份 asc,月份 asc
-- 线上每年各产品数量、产品销售金额
SELECT
goods_barcode,
year(order_date) as '年份',
sum(good_qty) as '产品数量',
order_settle_amt as '销售金额'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >= '2022-01-01 00:00:00'
AND order_date < '2025-07-01 00:00:00'
GROUP BY
goods_barcode,year(order_date)
order BY
goods_barcode,年份;
-- 线下每年各产品数量、产品销售金额
-- FROM(
-- SELECT
-- platform_order_no,
-- max(pay_date) as pay_time,
-- sum(pay_amt) as amount
-- FROM
-- dwd_trade_hkaudit_shop_receipt_pay_mt
-- WHERE
-- pay_date >='2022-01-01 00:00:00'
-- AND pay_date <'2025-07-01 00:00:00'
-- GROUP BY
-- platform_order_no
-- ) pay
-- left join(
-- SELECT
-- platform_order_no,
-- count(platform_order_no) as num
-- FROM
-- dwd_trade_hkaudit_shop_receipt_mt
-- GROUP BY
-- platform_order_no
-- ) order_num
-- on
-- pay.platform_order_no = order_num.platform_order_no
-- 线上每年前五店铺金额分布
SELECT
store_name as '店铺名称',
sum(order_settle_amt) as '销售金额'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >= '2022-01-01 00:00:00'
AND order_date < '2023-01-01 00:00:00'
GROUP BY
store_name
order BY
sum(order_settle_amt) desc
LIMIT 5
-- 线下每年前五店铺金额分布
SELECT
store_name as '店铺名称',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额'
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >= '2022-01-01 00:00:00'
AND pay_date <'2023-01-01 00:00:00'
GROUP BY
店铺名称
order BY
线上店铺前五金额分布 desc
LIMIT 5
-- 线上每年各省份销售金额、订单数量
SELECT
year(order_date) as '年份,'
province as '省份',
round(sum(order_settle_amt),2) as '销售金额',
count(platform_order_no) as '订单数量'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >= '2022-01-01 00:00:00'
AND order_date < '2025-07-01 00:00:00'
GROUP BY
年份 asc, province
-- 线下每年各店铺所在省份销售金额、订单数量
-- (如何确认店铺所在省份？)
-- 线上每年单笔订单金额分布
-- (并单如何考虑单笔金额？)
SELECT
YEAR(order_date) AS '年份',
a.money_area AS '单笔订单金额',
count(a.platform_order_no) as '订单数量',
ROUND(sum(a.order_settle_amt),2) AS '销售金额'
FROM(
SELECT
order_settle_amt,
platform_order_no,
CASE
WHEN order_settle_amt >0 AND order_settle_amt <10 THEN '0-10'
WHEN order_settle_amt >=10 AND order_settle_amt <50 THEN '10-50'
WHEN order_settle_amt >=50 AND order_settle_amt <100 THEN '50-100'
WHEN order_settle_amt >=100 AND order_settle_amt <500 THEN '100-500'
WHEN order_settle_amt >=500 AND order_settle_amt <1000 THEN '500-1000'
WHEN order_settle_amt >=1000 AND order_settle_amt <5000 THEN '1000-5000'
WHEN order_settle_amt >=5000 AND order_settle_amt <10000 THEN '5000-10000'
WHEN order_settle_amt >=10000 THEN '10000及以上'
END AS money_area
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >='2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00'
) a
GROUP BY
a.money_area
ORDER BY
年份,
CASE a.money_area
WHEN '0-10' THEN 1
WHEN '10-50' THEN 2
WHEN '50-100' THEN 3
WHEN '100-500' THEN 4
WHEN '500-1000' THEN 5
WHEN '1000-5000' THEN 6
WHEN '5000-10000' THEN 7
WHEN '10000及以上' THEN 8
END;
-- 线下每年单笔订单金额分布
SELECT
YEAR(order_date) AS '年份',
a.money_area AS '单笔订单金额',
count(a.platform_order_no) as '订单数量',
ROUND(sum(a.order_settle_amt),2) AS '销售金额'
FROM(
SELECT
order_settle_amt,
platform_order_no,
CASE
WHEN pay_amt >0 AND pay_amt <10 THEN '0-10'
WHEN pay_amt >=10 AND pay_amt <50 THEN '10-50'
WHEN pay_amt >=50 AND pay_amt <100 THEN '50-100'
WHEN pay_amt >=100 AND pay_amt <500 THEN '100-500'
WHEN pay_amt >=500 AND pay_amt <1000 THEN '500-1000'
WHEN pay_amt >=1000 AND pay_amt <5000 THEN '1000-5000'
WHEN pay_amt >=5000 AND pay_amt <10000 THEN '5000-10000'
WHEN pay_amt >=10000 THEN '10000及以上'
END AS money_area
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
order_date >='2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00'
) a
GROUP BY
a.money_area
ORDER BY
年份,
CASE a.money_area
WHEN '0-10' THEN 1
WHEN '10-50' THEN 2
WHEN '50-100' THEN 3
WHEN '100-500' THEN 4
WHEN '500-1000' THEN 5
WHEN '1000-5000' THEN 6
WHEN '5000-10000' THEN 7
WHEN '10000及以上' THEN 8
END;
-- 线上每年同一个收货地址销售金额、订单数量(需考虑脱敏情况)
-- 线上每年各天和各小时订单数和销售金额
-- 各天
SELECT
year(order_date) as '年份',
date(order_date) as '日期',
COUNT(sales.platform_order_no) +
SUM(LENGTH(sales.platform_order_no) - LENGTH(REPLACE(sales.platform_order_no, ',', ''))) as '订单数量',
ROUND(SUM(final_amount),2) AS '销售金额'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >='2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00'
GROUP BY
year(order_date),date(order_date)
order BY
年份, 日期;
-- 各小时
SELECT
year(order_date) as '年份',
CONCAT(HOUR(order_date), '点到', HOUR(order_date) + 1, '点') as '时间',
COUNT(platform_order_no) +
SUM(LENGTH(platform_order_no) - LENGTH(REPLACE(platform_order_no, ',', ''))) as '订单数量',
ROUND(SUM(order_settle_amt),2) AS '销售金额'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >='2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00'
GROUP BY
year(order_date), HOUR(order_date)
order BY
年份, 时间;
-- 线下每年各天和各小时订单数和销售金额
-- 各天
SELECT
year(pay.pay_time) as '年份',
date(pay.pay_time) as '日期',
sum(order_num.num) as '订单数量',
round(sum(pay.amount),2) as '销售金额'
FROM(
SELECT
platform_order_no,
max(pay_date) as pay_time,
sum(pay_amt) as amount
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >='2022-01-01 00:00:00'
AND pay_date <'2025-07-01 00:00:00'
GROUP BY
platform_order_no
) pay
left join(
SELECT
platform_order_no,
count(platform_order_no) as num
FROM
dwd_trade_hkaudit_shop_receipt_mt
GROUP BY
platform_order_no
) order_num
on
pay.platform_order_no = order_num.platform_order_no
GROUP BY
year(pay.pay_time),date(pay.pay_time)
order BY
年份,日期;
-- 各小时
SELECT
YEAR(pay.pay_time) as '年份',
CONCAT(HOUR(pay.pay_time), '点到', HOUR(pay.pay_time) + 1, '点') as '时间',
SUM(order_num.num) as '订单数量',
ROUND(SUM(pay.amount), 2) as '销售金额'
FROM (
SELECT
platform_order_no,
MAX(pay_date) as pay_time,
SUM(pay_amt) as amount
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >= '2022-01-01 00:00:00'
AND pay_date < '2025-07-01 00:00:00'
GROUP BY
platform_order_no
) pay
LEFT JOIN (
SELECT
platform_order_no,
COUNT(platform_order_no) as num
FROM
dwd_trade_hkaudit_shop_receipt_mt
GROUP BY
platform_order_no
) order_num
ON
pay.platform_order_no = order_num.platform_order_no
GROUP BY
YEAR(pay.pay_time), HOUR(pay.pay_time)
ORDER BY
年份, 时间;
-- 线上每年大促期间店铺销售金额、订单数量
SELECT
store_name as '店铺名称',
YEAR(order_date) AS '年份',
CASE
WHEN (MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 15 AND 21) THEN '父亲节'
WHEN (MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 10 AND 20) THEN '618'
WHEN (MONTH(order_date) = 11 AND DAY(order_date) BETWEEN 1 AND 15) THEN '双11'
ELSE '其他'
END as '大促类型',
ROUND(SUM(order_settle_amt), 2) as '销售金额',
COUNT(platform_order_no) +
SUM(LENGTH(platform_order_no) - LENGTH(REPLACE(platform_order_no, ',', ''))) as '订单数量'
FROM dwd_trade_hkaudit_ecommerce_sale_mt
WHERE order_date >= '2022-01-01 00:00:00'
AND order_date < '2025-07-31 00:00:00'
AND (
(MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 15 AND 21) OR -- 父亲节
(MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 10 AND 20) OR -- 618
(MONTH(order_date) = 11 AND DAY(order_date) BETWEEN 1 AND 15) -- 双11
)
GROUP BY store_name, YEAR(order_date), 大促类型
ORDER BY store_name ASC, 年份 ASC,
CASE
WHEN '大促类型' = '父亲节' THEN 1
WHEN '大促类型' = '618' THEN 2
WHEN '大促类型' = '双11' THEN 3
END;
-- 线下每年大促期间店铺销售金额、订单数量
-- 线上每年订单下单和发货间隔的销售金额、订单数量分布
-- 线上每年各物流承运商销售金额、订单数量
-- 线上每年退款大于原销售的差异金额、订单数量
-- 线下每年退款大于原销售的差异金额、订单数量
=======
SELECT * FROM a;113333sss SELECT * FROM a;113333sss
>>>>>>> bcf2f3cd58c4c0fbd7ef580d305440999d743a5d