{ "data": { "question": { "questionId": "1712", "questionFrontendId": "1565", "boundTopicId": null, "title": "Unique Orders and Customers Per Month", "titleSlug": "unique-orders-and-customers-per-month", "content": null, "translatedTitle": null, "translatedContent": null, "isPaidOnly": true, "difficulty": "Easy", "likes": 75, "dislikes": 43, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\":{\"Orders\":[\"order_id\",\"order_date\",\"customer_id\",\"invoice\"]},\"rows\":{\"Orders\":[[1,\"2020-09-15\",1,30],[2,\"2020-09-17\",2,90],[3,\"2020-10-06\",3,20],[4,\"2020-10-20\",3,21],[5,\"2020-11-10\",1,10],[6,\"2020-11-21\",2,15],[7,\"2020-12-01\",4,55],[8,\"2020-12-03\",4,77],[9,\"2021-01-07\",3,31],[10,\"2021-01-15\",2,20]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", "slug": "database", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"20.3K\", \"totalSubmission\": \"24.7K\", \"totalAcceptedRaw\": 20296, \"totalSubmissionRaw\": 24697, \"acRate\": \"82.2%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Orders\":[\"order_id\",\"order_date\",\"customer_id\",\"invoice\"]},\"rows\":{\"Orders\":[[1,\"2020-09-15\",1,30],[2,\"2020-09-17\",2,90],[3,\"2020-10-06\",3,20],[4,\"2020-10-20\",3,21],[5,\"2020-11-10\",1,10],[6,\"2020-11-21\",2,15],[7,\"2020-12-01\",4,55],[8,\"2020-12-03\",4,77],[9,\"2021-01-07\",3,31],[10,\"2021-01-15\",2,20]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Orders (order_id int, order_date date, customer_id int, invoice int)\"], \"mssql\": [\"Create table Orders (order_id int, order_date date, customer_id int, invoice int)\"], \"oraclesql\": [\"Create table Orders (order_id int, order_date date, customer_id int, invoice int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"unique_orders_and_customers\", \"pythondata\": [\"Orders = pd.DataFrame([], columns=['order_id', 'order_date', 'customer_id', 'invoice']).astype({'order_id':'Int64', 'order_date':'datetime64[ns]', 'customer_id':'Int64', 'invoice':'Int64'})\"], \"postgresql\": [\"Create table If Not Exists Orders (order_id int, order_date date, customer_id int, invoice int)\"], \"database_schema\": {\"Orders\": {\"order_id\": \"INT\", \"order_date\": \"DATE\", \"customer_id\": \"INT\", \"invoice\": \"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Orders (order_id int, order_date date, customer_id int, invoice int)", "Truncate table Orders", "insert into Orders (order_id, order_date, customer_id, invoice) values ('1', '2020-09-15', '1', '30')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('2', '2020-09-17', '2', '90')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('3', '2020-10-06', '3', '20')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('4', '2020-10-20', '3', '21')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('5', '2020-11-10', '1', '10')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('6', '2020-11-21', '2', '15')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('7', '2020-12-01', '4', '55')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('8', '2020-12-03', '4', '77')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('9', '2021-01-07', '3', '31')", "insert into Orders (order_id, order_date, customer_id, invoice) values ('10', '2021-01-15', '2', '20')" ], "enableRunCode": true, "enableTestMode": false, "enableDebugger": false, "envInfo": "{\"mysql\": [\"MySQL\", \"
MySQL 8.0
.
mssql server 2019
.
Oracle Sql 11.2
.
Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0
\"], \"postgresql\": [\"PostgreSQL\", \"PostgreSQL 16
\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }