leetcode-problemset/leetcode/originData/[no content]market-analysis-ii.json

{
    "data": {
        "question": {
            "questionId": "1269",
            "questionFrontendId": "1159",
            "boundTopicId": null,
            "title": "Market Analysis II",
            "titleSlug": "market-analysis-ii",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Hard",
            "likes": 117,
            "dislikes": 72,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Users\":[\"user_id\",\"join_date\",\"favorite_brand\"],\"Orders\":[\"order_id\",\"order_date\",\"item_id\",\"buyer_id\",\"seller_id\"],\"Items\":[\"item_id\",\"item_brand\"]},\"rows\":{\"Users\":[[1,\"2019-01-01\",\"Lenovo\"],[2,\"2019-02-09\",\"Samsung\"],[3,\"2019-01-19\",\"LG\"],[4,\"2019-05-21\",\"HP\"]],\"Orders\":[[1,\"2019-08-01\",4,1,2],[2,\"2019-08-02\",2,1,3],[3,\"2019-08-03\",3,2,3],[4,\"2019-08-04\",1,4,2],[5,\"2019-08-04\",1,3,4],[6,\"2019-08-05\",2,2,4]],\"Items\":[[1,\"Samsung\"],[2,\"Lenovo\"],[3,\"LG\"],[4,\"HP\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"17.5K\", \"totalSubmission\": \"30.7K\", \"totalAcceptedRaw\": 17508, \"totalSubmissionRaw\": 30704, \"acRate\": \"57.0%\"}",
            "hints": [],
            "solution": {
                "id": "2071",
                "canSeeDetail": false,
                "paidOnly": true,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
            },
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Users\":[\"user_id\",\"join_date\",\"favorite_brand\"],\"Orders\":[\"order_id\",\"order_date\",\"item_id\",\"buyer_id\",\"seller_id\"],\"Items\":[\"item_id\",\"item_brand\"]},\"rows\":{\"Users\":[[1,\"2019-01-01\",\"Lenovo\"],[2,\"2019-02-09\",\"Samsung\"],[3,\"2019-01-19\",\"LG\"],[4,\"2019-05-21\",\"HP\"]],\"Orders\":[[1,\"2019-08-01\",4,1,2],[2,\"2019-08-02\",2,1,3],[3,\"2019-08-03\",3,2,3],[4,\"2019-08-04\",1,4,2],[5,\"2019-08-04\",1,3,4],[6,\"2019-08-05\",2,2,4]],\"Items\":[[1,\"Samsung\"],[2,\"Lenovo\"],[3,\"LG\"],[4,\"HP\"]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\", \"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\", \"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"], \"mssql\": [\"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\", \"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\", \"Create table Items (item_id int, item_brand varchar(10))\"], \"oraclesql\": [\"Create table Users (user_id int, join_date date, favorite_brand varchar(10))\", \"Create table Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\", \"Create table Items (item_id int, item_brand varchar(10))\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"market_analysis\", \"pythondata\": [\"Users = pd.DataFrame([], columns=['user_id', 'join_date', 'favorite_brand']).astype({'user_id':'Int64', 'join_date':'datetime64[ns]', 'favorite_brand':'object'})\\n\", \"Orders = pd.DataFrame([], columns=['order_id', 'order_date', 'item_id', 'buyer_id', 'seller_id']).astype({'order_id':'Int64', 'order_date':'datetime64[ns]', 'item_id':'Int64', 'buyer_id':'Int64', 'seller_id':'Int64'})\", \"Items = pd.DataFrame([], columns=['item_id', 'item_brand']).astype({'item_id':'Int64', 'item_brand':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))\\n\", \"Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)\", \"Create table If Not Exists Items (item_id int, item_brand varchar(10))\"], \"database_schema\": {\"Users\": {\"user_id\": \"INT\", \"join_date\": \"DATE\", \"favorite_brand\": \"VARCHAR(10)\"}, \"Orders\": {\"order_id\": \"INT\", \"order_date\": \"DATE\", \"item_id\": \"INT\", \"buyer_id\": \"INT\", \"seller_id\": \"INT\"}, \"Items\": {\"item_id\": \"INT\", \"item_brand\": \"VARCHAR(10)\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Users (user_id int, join_date date, favorite_brand varchar(10))",
                "Create table If Not Exists Orders (order_id int, order_date date, item_id int, buyer_id int, seller_id int)",
                "Create table If Not Exists Items (item_id int, item_brand varchar(10))",
                "Truncate table Users",
                "insert into Users (user_id, join_date, favorite_brand) values ('1', '2019-01-01', 'Lenovo')",
                "insert into Users (user_id, join_date, favorite_brand) values ('2', '2019-02-09', 'Samsung')",
                "insert into Users (user_id, join_date, favorite_brand) values ('3', '2019-01-19', 'LG')",
                "insert into Users (user_id, join_date, favorite_brand) values ('4', '2019-05-21', 'HP')",
                "Truncate table Orders",
                "insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('1', '2019-08-01', '4', '1', '2')",
                "insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('2', '2019-08-02', '2', '1', '3')",
                "insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('3', '2019-08-03', '3', '2', '3')",
                "insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('4', '2019-08-04', '1', '4', '2')",
                "insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('5', '2019-08-04', '1', '3', '4')",
                "insert into Orders (order_id, order_date, item_id, buyer_id, seller_id) values ('6', '2019-08-05', '2', '2', '4')",
                "Truncate table Items",
                "insert into Items (item_id, item_brand) values ('1', 'Samsung')",
                "insert into Items (item_id, item_brand) values ('2', 'Lenovo')",
                "insert into Items (item_id, item_brand) values ('3', 'LG')",
                "insert into Items (item_id, item_brand) values ('4', 'HP')"
            ],
            "enableRunCode": true,
            "enableTestMode": false,
            "enableDebugger": false,
            "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>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}