diff --git a/SQL.sql b/SQL.sql index a5fd02b..c7d2b1d 100644 --- a/SQL.sql +++ b/SQL.sql @@ -1,7 +1,6 @@ -<<<<<<< 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', + sales.store_code as '店铺编码', year(sales.order_date) AS '年份', round(sum(sales.order_settle_amt),2) as '销售金额', COUNT(sales.platform_order_no) + @@ -14,19 +13,19 @@ FROM 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 + on sales.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' + AND sales.order_date <'2025-07-31 00:00:00' GROUP BY - sales.store_name, year(sales.order_date) + sales.store_code, year(sales.order_date) ORDER BY - sales.store_name ASC, 年份 ASC + sales.store_code 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', + store_code as '店铺编码', 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', @@ -38,13 +37,13 @@ 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) + store_code, YEAR(pay_date) ORDER BY - store_name ASC, 年份 ASC; + store_code ASC, 年份 ASC; -- 线上店铺月度销售金额 SELECT - store_name as '店铺名称', + store_code as '店铺编码', YEAR(order_date) as '年份', month(order_date) as '月份', round(sum(order_settle_amt),2) as '销售金额' @@ -54,13 +53,13 @@ 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 + store_code,年份,月份 order BY - store_name,年份 asc,月份 asc + store_code,年份 asc,月份 asc -- 线下店铺月度销售金额 SELECT - store_name as '店铺名称', + store_code as '店铺编码', 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' @@ -70,9 +69,9 @@ 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) + store_code,year(pay_date),month(pay_date) order BY - store_name,年份 asc,月份 asc + store_code,年份 asc,月份 asc -- 线上每年各产品数量、产品销售金额 SELECT @@ -91,35 +90,41 @@ order BY goods_barcode,年份; -- 线下每年各产品数量、产品销售金额 +-- (订单号重复，根据订单号groupby后失去产品信息，小票支付表仅有订单号可关联，如何计算？) +SELECT + YEAR(b.pay_time) as '年份', + a.goods_name as '商品名称', + a.goods_barcode as '商品条码', + SUM(a.good_qty) as '产品数量', + ROUND(SUM(b.pay_amt), 2) as '销售金额' +FROM ( + -- 订单表（商品信息） + SELECT + platform_order_no, + goods_name, + goods_barcode, + good_qty + FROM dwd_trade_hkaudit_shop_receipt_mt +) a +INNER JOIN ( + -- 支付表（支付金额和时间，只取销售金额>0） + SELECT + platform_order_no, + MAX(pay_date) as pay_time, + SUM(pay_amt) as pay_amt + 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' + AND pay_amt > 0 -- 只取销售金额（正数） + GROUP BY platform_order_no +) b ON a.platform_order_no = b.platform_order_no +GROUP BY YEAR(b.pay_time), a.goods_name, a.goods_barcode +ORDER BY 年份, 销售金额 DESC; --- 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', + store_code as '店铺编码', sum(order_settle_amt) as '销售金额' FROM dwd_trade_hkaudit_ecommerce_sale_mt @@ -127,14 +132,14 @@ WHERE order_date >= '2022-01-01 00:00:00' AND order_date < '2023-01-01 00:00:00' GROUP BY - store_name + store_code 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', + store_code as '店铺编码', 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 @@ -142,9 +147,9 @@ WHERE pay_date >= '2022-01-01 00:00:00' AND pay_date <'2023-01-01 00:00:00' GROUP BY - 店铺名称 + 店铺编码 order BY - 线上店铺前五金额分布 desc + 销售金额 desc LIMIT 5 -- 线上每年各省份销售金额、订单数量 @@ -163,7 +168,18 @@ GROUP BY -- 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？) - +SELECT + store_code as '店铺编码', + 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 + 店铺编码 +order BY + 销售金额 desc -- 线上每年单笔订单金额分布 -- (并单如何考虑单笔金额？) @@ -249,7 +265,18 @@ ORDER BY 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) - +SELECT + 地址 + 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' +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 + 地址 -- 线上每年各天和各小时订单数和销售金额 -- 各天 @@ -296,7 +323,7 @@ FROM( SELECT platform_order_no, max(pay_date) as pay_time, - sum(pay_amt) as amount + round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as amount FROM dwd_trade_hkaudit_shop_receipt_pay_mt WHERE @@ -331,7 +358,7 @@ FROM ( SELECT platform_order_no, MAX(pay_date) as pay_time, - SUM(pay_amt) as amount + sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END) as amount FROM dwd_trade_hkaudit_shop_receipt_pay_mt WHERE @@ -358,7 +385,7 @@ ORDER BY -- 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', + store_code as '店铺编码', YEAR(order_date) AS '年份', CASE WHEN (MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 15 AND 21) THEN '父亲节' @@ -377,8 +404,8 @@ WHERE order_date >= '2022-01-01 00:00:00' (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, +GROUP BY store_code, YEAR(order_date), 大促类型 +ORDER BY store_code ASC, 年份 ASC, CASE WHEN '大促类型' = '父亲节' THEN 1 WHEN '大促类型' = '618' THEN 2 @@ -386,19 +413,100 @@ ORDER BY store_name ASC, 年份 ASC, END; -- 线下每年大促期间店铺销售金额、订单数量 - +SELECT + year(pay_time) as '年份', + pay.store as '店铺编码', + CASE + WHEN (MONTH(pay.pay_time) = 6 AND DAY(pay.pay_time) BETWEEN 15 AND 21) THEN '父亲节' + WHEN (MONTH(pay.pay_time) = 6 AND DAY(pay.pay_time) BETWEEN 10 AND 20) THEN '618' + WHEN (MONTH(pay.pay_time) = 11 AND DAY(pay.pay_time) BETWEEN 1 AND 15) THEN '双11' + ELSE '其他' + END as '大促类型', + ROUND(SUM(pay.amount), 2) as '销售金额', + sum(order_num.num) as '订单数量' +FROM( + SELECT + platform_order_no, + max(store_code) as store, + max(pay_date) as pay_time, + sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END) 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' + AND ( + (MONTH(pay_date) = 6 AND DAY(pay_date) BETWEEN 15 AND 21) OR -- 父亲节 + (MONTH(pay_date) = 6 AND DAY(pay_date) BETWEEN 10 AND 20) OR -- 618 + (MONTH(pay_date) = 11 AND DAY(pay_date) BETWEEN 1 AND 15) -- 双11 + ) + 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 store_code, YEAR(order_date), 大促类型 +ORDER BY store_code, 年份, + 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; -- 线上每年订单下单和发货间隔的销售金额、订单数量分布 +-- (并单如何考虑下单时间？) +SELECT + CASE +FROM + dwd_trade_hkaudit_ecommerce_sale_mt sales +WHERE + order_date >= '2022-01-01 00:00:00' + AND order_date < '2025-07-31 00:00:00' -- 线上每年各物流承运商销售金额、订单数量 - +SELECT + year(sales.order_date) AS '年份', + carrier as '物流承运商', + 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' +FROM + dwd_trade_hkaudit_ecommerce_sale_mt sales +WHERE + order_date >= '2022-01-01 00:00:00' + AND order_date < '2025-07-31 00:00:00' +GROUP BY + year(sales.order_date), carrier +order BY 年份, carrier; -- 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 ->>>>>>> bcf2f3cd58c4c0fbd7ef580d305440999d743a5d +SELECT + YEAR(pay_time) AS '年份', + SUM(total_refund - total_sale) AS '差异金额', + COUNT(*) AS '订单数量' +FROM ( + SELECT + receipt_no, + SUM(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END) AS total_sale, + SUM(CASE WHEN pay_amt < 0 THEN ABS(pay_amt) ELSE 0 END) AS total_refund, + MAX(pay_date) AS pay_time + FROM dwd_trade_hkaudit_shop_receipt_pay_mt + GROUP BY order_id + HAVING total_refund > total_sale +) +GROUP BY YEAR(pay_time); 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