{ "data": { "question": { "questionId": "1518", "questionFrontendId": "1384", "boundTopicId": null, "title": "Total Sales Amount by Year", "titleSlug": "total-sales-amount-by-year", "content": null, "translatedTitle": null, "translatedContent": null, "isPaidOnly": true, "difficulty": "Hard", "likes": 215, "dislikes": 128, "isLiked": null, "similarQuestions": "[]", "exampleTestcases": "{\"headers\": {\"Product\": [\"product_id\", \"product_name\"], \"Sales\": [\"product_id\", \"period_start\", \"period_end\", \"average_daily_sales\"]}, \"rows\": {\"Product\": [[1, \"LC Phone \"], [2, \"LC T-Shirt\"], [3, \"LC Keychain\"]], \"Sales\": [[1, \"2019-01-25\", \"2019-02-28\", 100], [2, \"2018-12-01\", \"2020-01-01\", 10], [3, \"2019-12-01\", \"2020-01-31\", 1]]}}", "categoryTitle": "Database", "contributors": [], "topicTags": [ { "name": "Database", "slug": "database", "translatedName": null, "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"15.2K\", \"totalSubmission\": \"24.6K\", \"totalAcceptedRaw\": 15243, \"totalSubmissionRaw\": 24550, \"acRate\": \"62.1%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\": {\"Product\": [\"product_id\", \"product_name\"], \"Sales\": [\"product_id\", \"period_start\", \"period_end\", \"average_daily_sales\"]}, \"rows\": {\"Product\": [[1, \"LC Phone \"], [2, \"LC T-Shirt\"], [3, \"LC Keychain\"]], \"Sales\": [[1, \"2019-01-25\", \"2019-02-28\", 100], [2, \"2018-12-01\", \"2020-01-01\", 10], [3, \"2019-12-01\", \"2020-01-31\", 1]]}}", "metaData": "{\"mysql\": [\"Create table If Not Exists Product (product_id int, product_name varchar(30))\", \"Create table If Not Exists Sales (product_id int, period_start date, period_end date, average_daily_sales int)\"], \"mssql\": [\"Create table Product (product_id int, product_name varchar(30))\", \"Create table Sales (product_id int, period_start date, period_end date, average_daily_sales int)\"], \"oraclesql\": [\"Create table Product (product_id int, product_name varchar(30))\", \"Create table Sales (product_id int, period_start date, period_end date, average_daily_sales int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"total_sales\", \"pythondata\": [\"Product = pd.DataFrame([], columns=['product_id', 'product_name']).astype({'product_id':'Int64', 'product_name':'object'})\", \"Sales = pd.DataFrame([], columns=['product_id', 'period_start', 'period_end', 'average_daily_sales']).astype({'product_id':'Int64', 'period_start':'datetime64[ns]', 'period_end':'datetime64[ns]', 'average_daily_sales':'Int64'})\"], \"postgresql\": [\"\\nCreate table If Not Exists Product (product_id int, product_name varchar(30))\\n\", \"Create table If Not Exists Sales (product_id int, period_start date, period_end date, average_daily_sales int)\"], \"database_schema\": {\"Product\": {\"product_id\": \"INT\", \"product_name\": \"VARCHAR(30)\"}, \"Sales\": {\"product_id\": \"INT\", \"period_start\": \"DATE\", \"period_end\": \"DATE\", \"average_daily_sales\": \"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Product (product_id int, product_name varchar(30))", "Create table If Not Exists Sales (product_id int, period_start date, period_end date, average_daily_sales int)", "Truncate table Product", "insert into Product (product_id, product_name) values ('1', 'LC Phone ')", "insert into Product (product_id, product_name) values ('2', 'LC T-Shirt')", "insert into Product (product_id, product_name) values ('3', 'LC Keychain')", "Truncate table Sales", "insert into Sales (product_id, period_start, period_end, average_daily_sales) values ('1', '2019-01-25', '2019-02-28', '100')", "insert into Sales (product_id, period_start, period_end, average_daily_sales) values ('2', '2018-12-01', '2020-01-01', '10')", "insert into Sales (product_id, period_start, period_end, average_daily_sales) values ('3', '2019-12-01', '2020-01-31', '1')" ], "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" } } }