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透视汇总补 0

中等 17-reshape 重塑 pivotpivot-tablefill-zerojoin

做一张“渠道 × 品类”的销售额透视表。

  • 只统计 status = 'paid' 的订单。
  • 每个订单行的销售额 = qty * unit_price * (1 - discount),discount 为 null 表示没有折扣(按 0 算)。
  • 每个渠道一行,每个品类一列,值为该渠道该品类的销售额之和。
  • 品类列固定为 Electronics, Books, Home, Toys, Sports, Beauty 这 6 列;没有销售的格子填 0,即使某个品类一单都没卖出,这一列也要输出(全为 0)。
  • channel 为 null 的订单单独成一行,该行 channel 为 null。
  • 只输出至少有一条 paid 订单行的渠道。

输入

  • orders(order_id, customer_id, order_ts, status, channel)
  • order_items(order_id, product_id, qty, unit_price, discount)
  • products(product_id, name, category, price, cost, launched_on)

输出

列为 channel, Electronics, Books, Home, Toys, Sports, Beauty,行顺序、列顺序不限。

输入表 (case base,共 2 个 case:base、edge)

orders shop/orders
#order_idint64customer_idint64order_tsdatetimestatusstringchannelstring
1 1001 39 2026-01-01 19:38:00 paid app
2 1002 16 2026-01-17 14:07:00 paid app
3 1003 4 2026-01-08 15:40:20 cancelled web
4 1004 2 2026-05-23 10:48:58 paid null
5 1005 12 2026-06-22 11:07:22 paid store
6 1006 17 2026-08-15 05:15:25 paid web
7 1007 9 2026-06-11 01:00:32 refunded store
8 1008 45 2026-09-19 20:47:10 paid web
9 1009 2 2025-10-05 04:53:38 paid app
10 1010 4 2026-02-19 01:39:54 paid app
11 1011 28 2026-03-05 03:04:45 refunded store
12 1012 2 2026-08-01 07:09:17 paid web
13 1013 26 2026-01-22 03:48:14 refunded store
14 1014 2 2026-02-09 01:41:41 paid app
15 1015 5 2026-08-03 19:49:04 refunded web
16 1016 26 2026-02-16 00:43:43 refunded app
17 1017 9 2025-12-06 04:48:57 pending app
18 1018 999 2026-05-19 12:13:43 paid store
19 1019 26 2026-02-05 15:02:26 paid store
20 1020 44 2025-11-24 11:19:00 cancelled web
显示前 20 行,共 200 行
order_items shop/order_items
#order_idint64product_idint64qtyint64unit_pricefloat64discountfloat64
1 1001 22 3 298.8 null
2 1001 26 1 190.0 0.1
3 1002 6 2 254.2 0.0
4 1002 9 3 79.0 null
5 1002 19 5 305.1 0.2
6 1003 9 2 79.0 0.1
7 1003 28 2 47.4 0.0
8 1004 5 1 500.0 0.1
9 1005 3 1 89.0 0.0
10 1005 12 4 45.0 null
11 1006 13 1 19.9 0.1
12 1006 25 2 39.9 null
13 1007 27 1 12.5 null
14 1008 3 1 89.0 null
15 1008 16 1 29.9 null
16 1008 17 1 129.0 null
17 1009 2 1 49.9 0.0
18 1009 10 2 42.5 null
19 1009 20 1 84.5 0.05
20 1010 1 1 23.8 0.1
显示前 20 行,共 500 行
products shop/products
#product_idint64namestringcategorystringpricefloat64costfloat64launched_ondate
1 1 Wireless Mouse Electronics 25.0 16.77 2025-05-07
2 2 USB-C Hub Electronics 49.9 34.17 2025-07-27
3 3 Bluetooth Speaker Electronics 89.0 61.47 2025-02-10
4 4 Mechanical Keyboard Electronics 199.0 105.48 2024-09-19
5 5 4K Monitor Electronics 500.0 282.38 2024-07-10
6 6 Noise-cancel Headphones Electronics 299.0 211.57 2025-01-14
7 7 Python Cookbook Books 59.0 30.08 2025-09-15
8 8 SQL Pocket Guide Books 39.9 22.14 2025-01-20
9 9 数据分析实战 Books 79.0 40.83 2024-12-15
10 10 Clean Code Books 50.0 28.48 2025-03-13
11 11 统计学习方法 Books 99.0 70.22 2025-03-13
12 12 Desk Lamp Home 45.0 24.99 2025-11-04
13 13 Ceramic Mug Home 19.9 11.34 2025-12-02
14 14 Throw Pillow Home 35.0 19.23 2024-06-29
15 15 Wall Clock Home 99.0 47.98 2025-02-23
16 16 Storage Box Home 29.9 15.06 2025-02-27
17 17 Puzzle 1000pc Toys 129.0 59.53 2025-08-19
18 18 Building Blocks Toys 199.0 110.19 2025-04-18
19 19 RC Car Toys 359.0 208.55 2025-11-06
20 20 Plush Panda Toys 89.0 43.14 2026-01-12
显示前 20 行,共 30 行

期望输出 (case base,行顺序不限)

#channelStringElectronicsFloat64BooksFloat64HomeFloat64ToysFloat64SportsFloat64BeautyFloat64
1 app 10898.88 1958.4 1492.795 6517.125 5253.07 1434.085
2 null 6391.77 248.445 432.645 696.5 551.93 889.505
3 store 2036.95 546.35 734.14 1513.4 1813.64 236.25
4 web 4311.39 1150.325 1021.88 5159.87 3497.93 811.815
5 phone 635.1 694.5 71.205 1401.8 105.0 2199.9
共 5 行