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存量题库数据更新
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@@ -6,15 +6,15 @@
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"boundTopicId": null,
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"title": "Rearrange Products Table",
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"titleSlug": "rearrange-products-table",
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"content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| product_id | int |\n| store1 | int |\n| store2 | int |\n| store3 | int |\n+-------------+---------+\nproduct_id is the primary key for this table.\nEach row in this table indicates the product's price in 3 different stores: store1, store2, and store3.\nIf the product is not available in a store, the price will be null in that store's column.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query to rearrange the <code>Products</code> table so that each row has <code>(product_id, store, price)</code>. If a product is not available in a store, do <strong>not</strong> include a row with that <code>product_id</code> and <code>store</code> combination in the result table.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nProducts table:\n+------------+--------+--------+--------+\n| product_id | store1 | store2 | store3 |\n+------------+--------+--------+--------+\n| 0 | 95 | 100 | 105 |\n| 1 | 70 | null | 80 |\n+------------+--------+--------+--------+\n<strong>Output:</strong> \n+------------+--------+-------+\n| product_id | store | price |\n+------------+--------+-------+\n| 0 | store1 | 95 |\n| 0 | store2 | 100 |\n| 0 | store3 | 105 |\n| 1 | store1 | 70 |\n| 1 | store3 | 80 |\n+------------+--------+-------+\n<strong>Explanation:</strong> \nProduct 0 is available in all three stores with prices 95, 100, and 105 respectively.\nProduct 1 is available in store1 with price 70 and store3 with price 80. The product is not available in store2.\n</pre>\n",
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"content": "<p>Table: <code>Products</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type |\n+-------------+---------+\n| product_id | int |\n| store1 | int |\n| store2 | int |\n| store3 | int |\n+-------------+---------+\nproduct_id is the primary key (column with unique values) for this table.\nEach row in this table indicates the product's price in 3 different stores: store1, store2, and store3.\nIf the product is not available in a store, the price will be null in that store's column.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to rearrange the <code>Products</code> table so that each row has <code>(product_id, store, price)</code>. If a product is not available in a store, do <strong>not</strong> include a row with that <code>product_id</code> and <code>store</code> combination in the result table.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nProducts table:\n+------------+--------+--------+--------+\n| product_id | store1 | store2 | store3 |\n+------------+--------+--------+--------+\n| 0 | 95 | 100 | 105 |\n| 1 | 70 | null | 80 |\n+------------+--------+--------+--------+\n<strong>Output:</strong> \n+------------+--------+-------+\n| product_id | store | price |\n+------------+--------+-------+\n| 0 | store1 | 95 |\n| 0 | store2 | 100 |\n| 0 | store3 | 105 |\n| 1 | store1 | 70 |\n| 1 | store3 | 80 |\n+------------+--------+-------+\n<strong>Explanation:</strong> \nProduct 0 is available in all three stores with prices 95, 100, and 105 respectively.\nProduct 1 is available in store1 with price 70 and store3 with price 80. The product is not available in store2.\n</pre>\n",
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": false,
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"difficulty": "Easy",
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"likes": 130,
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"dislikes": 6,
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"likes": 798,
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"dislikes": 52,
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"isLiked": null,
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"similarQuestions": "[{\"title\": \"Product's Price for Each Store\", \"titleSlug\": \"products-price-for-each-store\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
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"similarQuestions": "[{\"title\": \"Product's Price for Each Store\", \"titleSlug\": \"products-price-for-each-store\", \"difficulty\": \"Easy\", \"translatedTitle\": null}, {\"title\": \"Dynamic Unpivoting of a Table\", \"titleSlug\": \"dynamic-unpivoting-of-a-table\", \"difficulty\": \"Hard\", \"translatedTitle\": null}]",
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"exampleTestcases": "{\"headers\":{\"Products\":[\"product_id\",\"store1\",\"store2\",\"store3\"]},\"rows\":{\"Products\":[[0, 95, 100, 105], [1, 70, null, 80]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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@@ -45,14 +45,33 @@
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef rearrange_products_table(products: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"13.6K\", \"totalSubmission\": \"15K\", \"totalAcceptedRaw\": 13627, \"totalSubmissionRaw\": 15015, \"acRate\": \"90.8%\"}",
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"stats": "{\"totalAccepted\": \"112K\", \"totalSubmission\": \"131.2K\", \"totalAcceptedRaw\": 111994, \"totalSubmissionRaw\": 131175, \"acRate\": \"85.4%\"}",
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"hints": [],
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"solution": null,
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"solution": {
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"id": "2023",
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"canSeeDetail": false,
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"paidOnly": true,
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"hasVideoSolution": false,
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"paidOnlyVideo": true,
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"__typename": "ArticleNode"
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},
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Products\":[\"product_id\",\"store1\",\"store2\",\"store3\"]},\"rows\":{\"Products\":[[0, 95, 100, 105], [1, 70, null, 80]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Products (product_id int, store1 int, store2 int, store3 int)\"\n ],\n \"mssql\": [\n \"Create table Products (product_id int, store1 int, store2 int, store3 int)\"\n ],\n \"oraclesql\": [\n \"Create table Products (product_id int, store1 int, store2 int, store3 int)\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Products (product_id int, store1 int, store2 int, store3 int)\"], \"mssql\": [\"Create table Products (product_id int, store1 int, store2 int, store3 int)\"], \"oraclesql\": [\"Create table Products (product_id int, store1 int, store2 int, store3 int)\"], \"database\": true, \"name\": \"rearrange_products_table\", \"pythondata\": [\"Products = pd.DataFrame([], columns=['product_id', 'store1', 'store2', 'store3']).astype({'product_id':'Int64', 'store1':'Int64', 'store2':'Int64', 'store3':'Int64'})\"], \"manual\": false, \"postgresql\": [\"Create table If Not Exists Products (product_id int, store1 int, store2 int, store3 int)\\n\"], \"database_schema\": {\"Products\": {\"product_id\": \"INT\", \"store1\": \"INT\", \"store2\": \"INT\", \"store3\": \"INT\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -64,7 +83,7 @@
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"]}",
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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