{ "data": { "question": { "questionId": "1718", "questionFrontendId": "1571", "categoryTitle": "Database", "boundTopicId": 400825, "title": "Warehouse Manager", "titleSlug": "warehouse-manager", "content": null, "translatedTitle": "仓库经理", "translatedContent": null, "isPaidOnly": true, "difficulty": "Easy", "likes": 21, "dislikes": 0, "isLiked": null, "similarQuestions": "[]", "contributors": [], "langToValidPlayground": null, "topicTags": [ { "name": "Database", "slug": "database", "translatedName": "数据库", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"13.1K\", \"totalSubmission\": \"16.8K\", \"totalAcceptedRaw\": 13115, \"totalSubmissionRaw\": 16808, \"acRate\": \"78.0%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\": {\"Warehouse\": [\"name\", \"product_id\", \"units\"], \"Products\": [\"product_id\", \"product_name\", \"Width\", \"Length\", \"Height\"]}, \"rows\": {\"Warehouse\": [[\"LCHouse1\", 1, 1], [\"LCHouse1\", 2, 10], [\"LCHouse1\", 3, 5], [\"LCHouse2\", 1, 2], [\"LCHouse2\", 2, 2], [\"LCHouse3\", 4, 1]], \"Products\": [[1, \"LC-TV\", 5, 50, 40], [2, \"LC-KeyChain\", 5, 5, 5], [3, \"LC-Phone\", 2, 10, 10], [4, \"LC-T-Shirt\", 4, 10, 20]]}}", "metaData": "{\"mysql\":[\"Create table If Not Exists Warehouse (name varchar(50), product_id int, units int)\\n\",\"Create table If Not Exists Products (product_id int, product_name varchar(50), Width int,Length int,Height int)\"],\"mssql\":[\"Create table Warehouse (name varchar(50), product_id int, units int)\\n\",\"Create table Products (product_id int, product_name varchar(50), Width int,Length int,Height int)\\n\"],\"oraclesql\":[\"Create table Warehouse (name varchar(50), product_id int, units int)\\n\",\"Create table Products (product_id int, product_name varchar(50), Width int,Length int,Height int)\\n\"],\"database\":true,\"name\":\"warehouse_manager\",\"pythondata\":[\"Warehouse = pd.DataFrame([], columns=['name', 'product_id', 'units']).astype({'name':'object', 'product_id':'Int64', 'units':'Int64'})\",\"Products = pd.DataFrame([], columns=['product_id', 'product_name', 'Width', 'Length', 'Height']).astype({'product_id':'Int64', 'product_name':'object', 'Width':'Int64', 'Length':'Int64', 'Height':'Int64'})\"],\"postgresql\":[\"\\nCreate table If Not Exists Warehouse (name varchar(50), product_id int, units int)\\n\",\"Create table If Not Exists Products (product_id int, product_name varchar(50), Width int,Length int,Height int)\"],\"database_schema\":{\"Warehouse\":{\"name\":\"VARCHAR(50)\",\"product_id\":\"INT\",\"units\":\"INT\"},\"Products\":{\"product_id\":\"INT\",\"product_name\":\"VARCHAR(50)\",\"Width\":\"INT\",\"Length\":\"INT\",\"Height\":\"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Warehouse (name varchar(50), product_id int, units int)\n", "Create table If Not Exists Products (product_id int, product_name varchar(50), Width int,Length int,Height int)", "Truncate table Warehouse", "insert into Warehouse (name, product_id, units) values ('LCHouse1', '1', '1')", "insert into Warehouse (name, product_id, units) values ('LCHouse1', '2', '10')", "insert into Warehouse (name, product_id, units) values ('LCHouse1', '3', '5')", "insert into Warehouse (name, product_id, units) values ('LCHouse2', '1', '2')", "insert into Warehouse (name, product_id, units) values ('LCHouse2', '2', '2')", "insert into Warehouse (name, product_id, units) values ('LCHouse3', '4', '1')", "Truncate table Products", "insert into Products (product_id, product_name, Width, Length, Height) values ('1', 'LC-TV', '5', '50', '40')", "insert into Products (product_id, product_name, Width, Length, Height) values ('2', 'LC-KeyChain', '5', '5', '5')", "insert into Products (product_id, product_name, Width, Length, Height) values ('3', 'LC-Phone', '2', '10', '10')", "insert into Products (product_id, product_name, Width, Length, Height) values ('4', 'LC-T-Shirt', '4', '10', '20')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"
\\u7248\\u672c\\uff1a mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\" Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\" Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\" PostgreSQL 16<\\/p>\"]}",
"book": null,
"isSubscribed": false,
"isDailyQuestion": false,
"dailyRecordStatus": null,
"editorType": "CKEDITOR",
"ugcQuestionId": null,
"style": "LEETCODE",
"exampleTestcases": "{\"headers\": {\"Warehouse\": [\"name\", \"product_id\", \"units\"], \"Products\": [\"product_id\", \"product_name\", \"Width\", \"Length\", \"Height\"]}, \"rows\": {\"Warehouse\": [[\"LCHouse1\", 1, 1], [\"LCHouse1\", 2, 10], [\"LCHouse1\", 3, 5], [\"LCHouse2\", 1, 2], [\"LCHouse2\", 2, 2], [\"LCHouse3\", 4, 1]], \"Products\": [[1, \"LC-TV\", 5, 50, 40], [2, \"LC-KeyChain\", 5, 5, 5], [3, \"LC-Phone\", 2, 10, 10], [4, \"LC-T-Shirt\", 4, 10, 20]]}}",
"__typename": "QuestionNode"
}
}
}MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"