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SQL170 某店铺的各商品毛利率及店铺整体毛利率 ​

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题目描述 ​

商品信息表tb_product_info

idproduct_idshop_idtagin_pricequantityrelease_time
18001901家电60001002020-01-01 10:00:00
28002902家电12000502020-01-01 10:00:00
380039013C数码12000502020-01-01 10:00:00

（product_id-商品ID, shop_id-店铺ID, tag-商品类别标签, in_price-进货价格, quantity-进货数量, release_time-上架时间）

订单总表tb_order_overall

idorder_iduidevent_timetotal_amounttotal_cntstatus
13010011012021-10-01 10:00:003000031
23010021022021-10-01 11:00:002390021
33010031032021-10-02 10:00:003100021

（order_id-订单号, uid-用户ID, event_time-下单时间, total_amount-订单总金额, total_cnt-订单商品总件数, status-订单状态）

订单明细表tb_order_detail

idorder_idproduct_idpricecnt
1301001800185002
23010018002150001
3301002800185001
43010028002160001
53010038002140001
63010038003180001

（order_id-订单号, product_id-商品ID, price-商品单价, cnt-下单数量）

场景逻辑说明：

  • 用户将购物车中多件商品一起下单时，订单总表会生成一个订单（但此时未付款，status-订单状态为0表示待付款），在订单明细表生成该订单中每个商品的信息；
  • 当用户支付完成时，在订单总表修改对应订单记录的status-订单状态为1表示已付款；
  • 若用户退货退款，在订单总表生成一条交易总金额为负值的记录（表示退款金额，订单号为退款单号，status-订单状态为2表示已退款）。

问题：请计算2021年10月以来店铺901中商品毛利率大于24.9%的商品信息及店铺整体毛利率。

注：商品毛利率=(1-进价/平均单件售价)*100%；

店铺毛利率=(1-总进价成本/总销售收入)*100%。

结果先输出店铺毛利率，再按商品ID升序输出各商品毛利率，均保留1位小数。

输出示例：

示例数据的输出结果如下：

product_idprofit_rate
店铺汇总31.0%
800129.4%
800333.3%

解释：

店铺901有两件商品8001和8003；8001售出了3件，销售总额为25500，进价总额为18000，毛利率为1-18000/25500=29.4%，8003售出了1件，售价为18000，进价为12000，毛利率为33.3%；

店铺卖出的这4件商品总销售额为43500，总进价为30000，毛利率为1-30000/43500=31.0%

SQL Schema ​

sql
DROP TABLE IF EXISTS tb_order_overall;
CREATE TABLE tb_order_overall
(
    id           INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    order_id     INT     NOT NULL COMMENT '订单号',
    uid          INT     NOT NULL COMMENT '用户ID',
    event_time   datetime COMMENT '下单时间',
    total_amount DECIMAL NOT NULL COMMENT '订单总金额',
    total_cnt    INT     NOT NULL COMMENT '订单商品总件数',
    `status`     TINYINT NOT NULL COMMENT '订单状态'
) CHARACTER SET utf8
  COLLATE utf8_bin;

INSERT INTO tb_order_overall(order_id, uid, event_time, total_amount, total_cnt, `status`)
VALUES (301001, 101, '2021-10-01 10:00:00', 30000, 3, 1),
       (301002, 102, '2021-10-01 11:00:00', 23900, 2, 1),
       (301003, 103, '2021-10-02 10:00:00', 31000, 2, 1);

DROP TABLE IF EXISTS tb_product_info;
CREATE TABLE tb_product_info
(
    id           INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    product_id   INT     NOT NULL COMMENT '商品ID',
    shop_id      INT     NOT NULL COMMENT '店铺ID',
    tag          VARCHAR(12) COMMENT '商品类别标签',
    in_price     DECIMAL NOT NULL COMMENT '进货价格',
    quantity     INT     NOT NULL COMMENT '进货数量',
    release_time datetime COMMENT '上架时间'
) CHARACTER SET utf8
  COLLATE utf8_bin;

DROP TABLE IF EXISTS tb_order_detail;
CREATE TABLE tb_order_detail
(
    id         INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
    order_id   INT     NOT NULL COMMENT '订单号',
    product_id INT     NOT NULL COMMENT '商品ID',
    price      DECIMAL NOT NULL COMMENT '商品单价',
    cnt        INT     NOT NULL COMMENT '下单数量'
) CHARACTER SET utf8
  COLLATE utf8_bin;

INSERT INTO tb_product_info(product_id, shop_id, tag, in_price, quantity, release_time)
VALUES (8001, 901, '家电', 6000, 100, '2020-01-01 10:00:00'),
       (8002, 902, '家电', 12000, 50, '2020-01-01 10:00:00'),
       (8003, 901, '3C数码', 12000, 50, '2020-01-01 10:00:00');

INSERT INTO tb_order_detail(order_id, product_id, price, cnt)
VALUES (301001, 8001, 8500, 2),
       (301001, 8002, 15000, 1),
       (301002, 8001, 8500, 1),
       (301002, 8002, 16000, 1),
       (301003, 8002, 14000, 1),
       (301003, 8003, 18000, 1);

答案 ​

解法一：UNION ALL ​

sql
WITH tmp AS (SELECT tpi.product_id, tpi.in_price, tod.cnt, tod.price
             FROM tb_product_info tpi
                      INNER JOIN tb_order_detail tod ON tpi.product_id = tod.product_id
                      INNER JOIN tb_order_overall too ON tod.order_id = too.order_id
             WHERE DATE_FORMAT(too.event_time, '%Y-%m') >= '2021-10'
               AND tpi.shop_id = 901)
SELECT '店铺汇总'                                                                AS `product_id`,
       CONCAT(ROUND((1 - SUM(in_price * cnt) / SUM(price * cnt)) * 100, 1), '%') AS `profit_rate`
FROM tmp
UNION ALL
(SELECT product_id, CONCAT(ROUND((1 - SUM(in_price * cnt) / SUM(price * cnt)) * 100, 1), '%') AS `profit_rate`
 FROM tmp
 GROUP BY product_id
 HAVING ROUND((1 - SUM(in_price * cnt) / SUM(price * cnt)) * 100, 1) > 24.9
 ORDER BY product_id);

解法二：GROUP BY WITH ROLLUP ​

sql
SELECT IFNULL(tpi.product_id, '店铺汇总')                                                        AS `product_id`,
       CONCAT(ROUND((1 - SUM(tpi.in_price * tod.cnt) / SUM(tod.price * tod.cnt)) * 100, 1), '%') AS `profit_rate`
FROM tb_product_info tpi
         INNER JOIN tb_order_detail tod ON tpi.product_id = tod.product_id
         INNER JOIN tb_order_overall too ON tod.order_id = too.order_id
WHERE DATE_FORMAT(too.event_time, '%Y-%m') >= '2021-10'
  AND tpi.shop_id = 901
GROUP BY tpi.product_id
WITH ROLLUP
HAVING ROUND((1 - SUM(tpi.in_price * tod.cnt) / SUM(tod.price * tod.cnt)) * 100, 1) > 24.9
    OR tpi.product_id IS NULL
ORDER BY tpi.product_id;