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| 1 | +# SQL Everyday \#142 |
| 2 | + |
| 3 | +## Product Price at a Given Date |
| 4 | + |
| 5 | +Site: LeetCode\ |
| 6 | +Difficulty per Site: Medium |
| 7 | + |
| 8 | +## Problem |
| 9 | + |
| 10 | +Write a solution to find the prices of all products on `2019-08-16`. Assume the price of all products before any change is `10`. |
| 11 | + |
| 12 | +Return the result table in *any order*. [[Full Description](https://leetcode.com/problems/product-price-at-a-given-date/description/)] |
| 13 | + |
| 14 | +## Submitted Solution |
| 15 | + |
| 16 | +```sql |
| 17 | +-- Submitted Solution |
| 18 | +# Write your MySQL query statement below |
| 19 | + |
| 20 | +WITH cte1 AS ( |
| 21 | + SELECT |
| 22 | + DISTINCT product_id |
| 23 | + FROM Products |
| 24 | +), |
| 25 | +cte2 AS ( |
| 26 | + SELECT |
| 27 | + product_id |
| 28 | + ,MAX(change_date) AS change_date |
| 29 | + FROM Products |
| 30 | + WHERE change_date <= '2019-08-16' |
| 31 | + GROUP BY product_id |
| 32 | +) |
| 33 | +SELECT |
| 34 | + p1.product_id |
| 35 | + ,COALESCE(p3.new_price, 10) AS price |
| 36 | +FROM cte1 AS p1 |
| 37 | +LEFT JOIN cte2 AS p2 ON p1.product_id = p2.product_id |
| 38 | +LEFT JOIN Products AS p3 ON p2.product_id = p3.product_id AND p2.change_date = p3.change_date |
| 39 | +; |
| 40 | +``` |
| 41 | + |
| 42 | +## Site Solution |
| 43 | + |
| 44 | +```sql |
| 45 | +-- LeetCode Solution |
| 46 | +-- Solution #1: Divide cases by using `UNION ALL` |
| 47 | +SELECT |
| 48 | + product_id, |
| 49 | + 10 AS price |
| 50 | +FROM |
| 51 | + Products |
| 52 | +GROUP BY |
| 53 | + product_id |
| 54 | +HAVING |
| 55 | + MIN(change_date) > '2019-08-16' |
| 56 | +UNION ALL |
| 57 | +SELECT |
| 58 | + product_id, |
| 59 | + new_price AS price |
| 60 | +FROM |
| 61 | + Products |
| 62 | +WHERE |
| 63 | + (product_id, change_date) IN ( |
| 64 | + SELECT |
| 65 | + product_id, |
| 66 | + MAX(change_date) |
| 67 | + FROM |
| 68 | + Products |
| 69 | + WHERE |
| 70 | + change_date <= '2019-08-16' |
| 71 | + GROUP BY |
| 72 | + product_id |
| 73 | + ) |
| 74 | + |
| 75 | +-- Solution #2: Divide cases by using `LEFT JOIN` |
| 76 | +SELECT |
| 77 | + UniqueProductId.product_id, |
| 78 | + IFNULL (LastChangedPrice.new_price, 10) AS price |
| 79 | +FROM |
| 80 | + ( |
| 81 | + SELECT DISTINCT |
| 82 | + product_id |
| 83 | + FROM |
| 84 | + Products |
| 85 | + ) AS UniqueProductIds |
| 86 | + LEFT JOIN ( |
| 87 | + SELECT |
| 88 | + Products.product_id, |
| 89 | + new_price |
| 90 | + FROM |
| 91 | + Products |
| 92 | + JOIN ( |
| 93 | + SELECT |
| 94 | + product_id, |
| 95 | + MAX(change_date) AS change_date |
| 96 | + FROM |
| 97 | + Products |
| 98 | + WHERE |
| 99 | + change_date <= "2019-08-16" |
| 100 | + GROUP BY |
| 101 | + product_id |
| 102 | + ) AS LastChangedDate USING (product_id, change_date) |
| 103 | + GROUP BY |
| 104 | + product_id |
| 105 | + ) AS LastChangedPrice USING (product_id) |
| 106 | + |
| 107 | +-- Solution #3: Use the window function |
| 108 | +SELECT |
| 109 | + product_id, |
| 110 | + IFNULL (price, 10) AS price |
| 111 | +FROM |
| 112 | + ( |
| 113 | + SELECT DISTINCT |
| 114 | + product_id |
| 115 | + FROM |
| 116 | + Products |
| 117 | + ) AS UniqueProducts |
| 118 | + LEFT JOIN ( |
| 119 | + SELECT DISTINCT |
| 120 | + product_id, |
| 121 | + FIRST_VALUE (new_price) OVER ( |
| 122 | + PARTITION BY |
| 123 | + product_id |
| 124 | + ORDER BY |
| 125 | + change_date DESC |
| 126 | + ) AS price |
| 127 | + FROM |
| 128 | + Products |
| 129 | + WHERE |
| 130 | + change_date <= '2019-08-16' |
| 131 | + ) AS LastChangedPrice USING (product_id); |
| 132 | +``` |
| 133 | + |
| 134 | +## Notes |
| 135 | + |
| 136 | +TBD |
| 137 | + |
| 138 | +## NB |
| 139 | + |
| 140 | +`UNION ALL`, `LEFT JOIN`, Window Function |
| 141 | + |
| 142 | +Go to [Index](../?tab=readme-ov-file#index)\ |
| 143 | +Go to [Overview](../?tab=readme-ov-file) |
| 144 | + |
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