leetcode-problemset/leetcode/originData/[no content]customers-who-bought-products-a-and-b-but-not-c.json

{
    "data": {
        "question": {
            "questionId": "1536",
            "questionFrontendId": "1398",
            "boundTopicId": null,
            "title": "Customers Who Bought Products A and B but Not C",
            "titleSlug": "customers-who-bought-products-a-and-b-but-not-c",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Medium",
            "likes": 283,
            "dislikes": 16,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Customers\":[\"customer_id\",\"customer_name\"],\"Orders\":[\"order_id\",\"customer_id\",\"product_name\"]},\"rows\":{\"Customers\":[[1,\"Daniel\"],[2,\"Diana\"],[3,\"Elizabeth\"],[4,\"Jhon\"]],\"Orders\":[[10,1,\"A\"],[20,1,\"B\"],[30,1,\"D\"],[40,1,\"C\"],[50,2,\"A\"],[60,3,\"A\"],[70,3,\"B\"],[80,3,\"D\"],[90,4,\"C\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": null,
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"46.1K\", \"totalSubmission\": \"62.6K\", \"totalAcceptedRaw\": 46083, \"totalSubmissionRaw\": 62607, \"acRate\": \"73.6%\"}",
            "hints": [],
            "solution": {
                "id": "2058",
                "canSeeDetail": false,
                "paidOnly": true,
                "hasVideoSolution": false,
                "paidOnlyVideo": true,
                "__typename": "ArticleNode"
            },
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Customers\":[\"customer_id\",\"customer_name\"],\"Orders\":[\"order_id\",\"customer_id\",\"product_name\"]},\"rows\":{\"Customers\":[[1,\"Daniel\"],[2,\"Diana\"],[3,\"Elizabeth\"],[4,\"Jhon\"]],\"Orders\":[[10,1,\"A\"],[20,1,\"B\"],[30,1,\"D\"],[40,1,\"C\"],[50,2,\"A\"],[60,3,\"A\"],[70,3,\"B\"],[80,3,\"D\"],[90,4,\"C\"]]}}",
            "metaData": "{\"mysql\": [\"Create table If Not Exists Customers (customer_id int, customer_name varchar(30))\", \"Create table If Not Exists Orders (order_id int, customer_id int, product_name varchar(30))\"], \"mssql\": [\"Create table Customers (customer_id int, customer_name varchar(30))\", \"Create table Orders (order_id int, customer_id int, product_name varchar(30))\"], \"oraclesql\": [\"Create table Customers (customer_id int, customer_name varchar(30))\", \"Create table Orders (order_id int, customer_id int, product_name varchar(30))\"], \"database\": true, \"name\": \"find_customers\", \"pythondata\": [\"Customers = pd.DataFrame([], columns=['customer_id', 'customer_name']).astype({'customer_id':'Int64', 'customer_name':'object'})\", \"Orders = pd.DataFrame([], columns=['order_id', 'customer_id', 'product_name']).astype({'order_id':'Int64', 'customer_id':'Int64', 'product_name':'object'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Customers (customer_id int, customer_name varchar(30))\\n\", \"Create table If Not Exists Orders (order_id int, customer_id int, product_name varchar(30))\"], \"database_schema\": {\"Customers\": {\"customer_id\": \"INT\", \"customer_name\": \"VARCHAR(30)\"}, \"Orders\": {\"order_id\": \"INT\", \"customer_id\": \"INT\", \"product_name\": \"VARCHAR(30)\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table If Not Exists Customers (customer_id int, customer_name varchar(30))",
                "Create table If Not Exists Orders (order_id int, customer_id int, product_name varchar(30))",
                "Truncate table Customers",
                "insert into Customers (customer_id, customer_name) values ('1', 'Daniel')",
                "insert into Customers (customer_id, customer_name) values ('2', 'Diana')",
                "insert into Customers (customer_id, customer_name) values ('3', 'Elizabeth')",
                "insert into Customers (customer_id, customer_name) values ('4', 'Jhon')",
                "Truncate table Orders",
                "insert into Orders (order_id, customer_id, product_name) values ('10', '1', 'A')",
                "insert into Orders (order_id, customer_id, product_name) values ('20', '1', 'B')",
                "insert into Orders (order_id, customer_id, product_name) values ('30', '1', 'D')",
                "insert into Orders (order_id, customer_id, product_name) values ('40', '1', 'C')",
                "insert into Orders (order_id, customer_id, product_name) values ('50', '2', 'A')",
                "insert into Orders (order_id, customer_id, product_name) values ('60', '3', 'A')",
                "insert into Orders (order_id, customer_id, product_name) values ('70', '3', 'B')",
                "insert into Orders (order_id, customer_id, product_name) values ('80', '3', 'D')",
                "insert into Orders (order_id, customer_id, product_name) values ('90', '4', 'C')"
            ],
            "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,
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            "challengeQuestion": null,
            "__typename": "QuestionNode"
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}