mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
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59 lines
4.6 KiB
JSON
59 lines
4.6 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1226",
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"questionFrontendId": "1127",
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"boundTopicId": null,
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"title": "User Purchase Platform",
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"titleSlug": "user-purchase-platform",
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"content": null,
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": true,
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"difficulty": "Hard",
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"likes": 176,
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"dislikes": 131,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Spending\":[\"user_id\",\"spend_date\",\"platform\",\"amount\"]},\"rows\":{\"Spending\":[[1,\"2019-07-01\",\"mobile\",100],[1,\"2019-07-01\",\"desktop\",100],[2,\"2019-07-01\",\"mobile\",100],[2,\"2019-07-02\",\"mobile\",100],[3,\"2019-07-01\",\"desktop\",100],[3,\"2019-07-02\",\"desktop\",100]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"translatedName": null,
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"__typename": "TopicTagNode"
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}
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],
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"companyTagStats": null,
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"codeSnippets": null,
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"stats": "{\"totalAccepted\": \"14.4K\", \"totalSubmission\": \"30.1K\", \"totalAcceptedRaw\": 14418, \"totalSubmissionRaw\": 30062, \"acRate\": \"48.0%\"}",
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"hints": [],
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"solution": null,
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Spending\":[\"user_id\",\"spend_date\",\"platform\",\"amount\"]},\"rows\":{\"Spending\":[[1,\"2019-07-01\",\"mobile\",100],[1,\"2019-07-01\",\"desktop\",100],[2,\"2019-07-01\",\"mobile\",100],[2,\"2019-07-02\",\"mobile\",100],[3,\"2019-07-01\",\"desktop\",100],[3,\"2019-07-02\",\"desktop\",100]]}}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Spending (user_id int, spend_date date, platform ENUM('desktop', 'mobile'), amount int)\"], \"mssql\": [\"create table Spending (user_id int, spend_date date, platform VARCHAR(10) NOT NULL CHECK (platform IN ('desktop', 'mobile')), amount int)\"], \"oraclesql\": [\"create table Spending (user_id int, spend_date date, platform VARCHAR(10) NOT NULL CHECK (platform IN ('desktop', 'mobile')), amount int)\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"user_purchase\", \"pythondata\": [\"Spending = pd.DataFrame([], columns=['user_id', 'spend_date', 'platform', 'amount']).astype({'user_id':'Int64', 'spend_date':'datetime64[ns]', 'platform':'object', 'amount':'Int64'})\\n\"], \"postgresql\": [\"Create table If Not Exists Spending (user_id int, spend_date date, platform VARCHAR(10) CHECK (platform IN ('desktop', 'mobile')), amount int)\\n\"], \"database_schema\": {\"Spending\": {\"user_id\": \"INT\", \"spend_date\": \"DATE\", \"platform\": \"ENUM('desktop', 'mobile')\", \"amount\": \"INT\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Spending (user_id int, spend_date date, platform ENUM('desktop', 'mobile'), amount int)",
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"Truncate table Spending",
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"insert into Spending (user_id, spend_date, platform, amount) values ('1', '2019-07-01', 'mobile', '100')",
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"insert into Spending (user_id, spend_date, platform, amount) values ('1', '2019-07-01', 'desktop', '100')",
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"insert into Spending (user_id, spend_date, platform, amount) values ('2', '2019-07-01', 'mobile', '100')",
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"insert into Spending (user_id, spend_date, platform, amount) values ('2', '2019-07-02', 'mobile', '100')",
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"insert into Spending (user_id, spend_date, platform, amount) values ('3', '2019-07-01', 'desktop', '100')",
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"insert into Spending (user_id, spend_date, platform, amount) values ('3', '2019-07-02', 'desktop', '100')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"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>\"]}",
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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |