{
    "data": {
        "question": {
            "questionId": "1688",
            "questionFrontendId": "1549",
            "boundTopicId": null,
            "title": "The Most Recent Orders for Each Product",
            "titleSlug": "the-most-recent-orders-for-each-product",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Medium",
            "likes": 128,
            "dislikes": 12,
            "isLiked": null,
            "similarQuestions": "[{\"title\": \"The Most Recent Three Orders\", \"titleSlug\": \"the-most-recent-three-orders\", \"difficulty\": \"Medium\", \"translatedTitle\": null}, {\"title\": \"The Most Frequently Ordered Products for Each Customer\", \"titleSlug\": \"the-most-frequently-ordered-products-for-each-customer\", \"difficulty\": \"Medium\", \"translatedTitle\": null}]",
            "exampleTestcases": "{\"headers\":{\"Customers\":[\"customer_id\",\"name\"],\"Orders\":[\"order_id\",\"order_date\",\"customer_id\",\"product_id\"],\"Products\":[\"product_id\",\"product_name\",\"price\"]},\"rows\":{\"Customers\":[[1,\"Winston\"],[2,\"Jonathan\"],[3,\"Annabelle\"],[4,\"Marwan\"],[5,\"Khaled\"]],\"Orders\":[[1,\"2020-07-31\",1,1],[2,\"2020-7-30\",2,2],[3,\"2020-08-29\",3,3],[4,\"2020-07-29\",4,1],[5,\"2020-06-10\",1,2],[6,\"2020-08-01\",2,1],[7,\"2020-08-01\",3,1],[8,\"2020-08-03\",1,2],[9,\"2020-08-07\",2,3],[10,\"2020-07-15\",1,2]],\"Products\":[[1,\"keyboard\",120],[2,\"mouse\",80],[3,\"screen\",600],[4,\"hard disk\",450]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"25.7K\", \"totalSubmission\": \"39.4K\", \"totalAcceptedRaw\": 25719, \"totalSubmissionRaw\": 39392, \"acRate\": \"65.3%\"}",
            "hints": [],
            "solution": {
                "id": "2055",
                "canSeeDetail": false,
                "paidOnly": true,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
            },
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Customers\":[\"customer_id\",\"name\"],\"Orders\":[\"order_id\",\"order_date\",\"customer_id\",\"product_id\"],\"Products\":[\"product_id\",\"product_name\",\"price\"]},\"rows\":{\"Customers\":[[1,\"Winston\"],[2,\"Jonathan\"],[3,\"Annabelle\"],[4,\"Marwan\"],[5,\"Khaled\"]],\"Orders\":[[1,\"2020-07-31\",1,1],[2,\"2020-7-30\",2,2],[3,\"2020-08-29\",3,3],[4,\"2020-07-29\",4,1],[5,\"2020-06-10\",1,2],[6,\"2020-08-01\",2,1],[7,\"2020-08-01\",3,1],[8,\"2020-08-03\",1,2],[9,\"2020-08-07\",2,3],[10,\"2020-07-15\",1,2]],\"Products\":[[1,\"keyboard\",120],[2,\"mouse\",80],[3,\"screen\",600],[4,\"hard disk\",450]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Customers (customer_id int, name varchar(10))\", \"Create table If Not Exists Orders (order_id int, order_date date, customer_id int, product_id int)\", \"Create table If Not Exists Products (product_id int, product_name varchar(20), price int)\"], \"mssql\": [\"Create table Customers (customer_id int, name varchar(10))\", \"Create table Orders (order_id int, order_date date, customer_id int, product_id int)\", \"Create table Products (product_id int, product_name varchar(20), price int)\"], \"oraclesql\": [\"Create table Customers (customer_id int, name varchar(10))\", \"Create table Orders (order_id int, order_date date, customer_id int, product_id int)\", \"Create table Products (product_id int, product_name varchar(20), price int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"most_recent_orders\", \"pythondata\": [\"Customers = pd.DataFrame([], columns=['customer_id', 'name']).astype({'customer_id':'Int64', 'name':'object'})\", \"Orders = pd.DataFrame([], columns=['order_id', 'order_date', 'customer_id', 'product_id']).astype({'order_id':'Int64', 'order_date':'datetime64[ns]', 'customer_id':'Int64', 'product_id':'Int64'})\", \"Products = pd.DataFrame([], columns=['product_id', 'product_name', 'price']).astype({'product_id':'Int64', 'product_name':'object', 'price':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Customers (customer_id int, name varchar(10))\\n\", \"Create table If Not Exists Orders (order_id int, order_date date, customer_id int, product_id int)\", \"Create table If Not Exists Products (product_id int, product_name varchar(20), price int)\"], \"database_schema\": {\"Customers\": {\"customer_id\": \"INT\", \"name\": \"VARCHAR(10)\"}, \"Orders\": {\"order_id\": \"INT\", \"order_date\": \"DATE\", \"customer_id\": \"INT\", \"product_id\": \"INT\"}, \"Products\": {\"product_id\": \"INT\", \"product_name\": \"VARCHAR(20)\", \"price\": \"INT\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Customers (customer_id int, name varchar(10))",
                "Create table If Not Exists Orders (order_id int, order_date date, customer_id int, product_id int)",
                "Create table If Not Exists Products (product_id int, product_name varchar(20), price int)",
                "Truncate table Customers",
                "insert into Customers (customer_id, name) values ('1', 'Winston')",
                "insert into Customers (customer_id, name) values ('2', 'Jonathan')",
                "insert into Customers (customer_id, name) values ('3', 'Annabelle')",
                "insert into Customers (customer_id, name) values ('4', 'Marwan')",
                "insert into Customers (customer_id, name) values ('5', 'Khaled')",
                "Truncate table Orders",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('1', '2020-07-31', '1', '1')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('2', '2020-7-30', '2', '2')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('3', '2020-08-29', '3', '3')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('4', '2020-07-29', '4', '1')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('5', '2020-06-10', '1', '2')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('6', '2020-08-01', '2', '1')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('7', '2020-08-01', '3', '1')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('8', '2020-08-03', '1', '2')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('9', '2020-08-07', '2', '3')",
                "insert into Orders (order_id, order_date, customer_id, product_id) values ('10', '2020-07-15', '1', '2')",
                "Truncate table Products",
                "insert into Products (product_id, product_name, price) values ('1', 'keyboard', '120')",
                "insert into Products (product_id, product_name, price) values ('2', 'mouse', '80')",
                "insert into Products (product_id, product_name, price) values ('3', 'screen', '600')",
                "insert into Products (product_id, product_name, price) values ('4', 'hard disk', '450')"
            ],
            "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"
        }
    }
}