{ "data": { "question": { "questionId": "3726", "questionFrontendId": "3390", "categoryTitle": "Database", "boundTopicId": 3021381, "title": "Longest Team Pass Streak", "titleSlug": "longest-team-pass-streak", "content": null, "translatedTitle": null, "translatedContent": null, "isPaidOnly": true, "difficulty": "Hard", "likes": 0, "dislikes": 0, "isLiked": null, "similarQuestions": "[]", "contributors": [], "langToValidPlayground": null, "topicTags": [ { "name": "Database", "slug": "database", "translatedName": "数据库", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": null, "stats": "{\"totalAccepted\": \"26\", \"totalSubmission\": \"50\", \"totalAcceptedRaw\": 26, \"totalSubmissionRaw\": 50, \"acRate\": \"52.0%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Teams\":[\"player_id\",\"team_name\"],\"Passes\":[\"pass_from\",\"time_stamp\",\"pass_to\"]},\"rows\":{\"Teams\":[[1,\"Arsenal\"],[2,\"Arsenal\"],[3,\"Arsenal\"],[4,\"Arsenal\"],[5,\"Chelsea\"],[6,\"Chelsea\"],[7,\"Chelsea\"],[8,\"Chelsea\"]],\"Passes\":[[1,\"00:05\",2],[2,\"00:07\",3],[3,\"00:08\",4],[4,\"00:10\",5],[6,\"00:15\",7],[7,\"00:17\",8],[8,\"00:20\",6],[6,\"00:22\",5],[1,\"00:25\",2],[2,\"00:27\",3]]}}", "metaData": "{\"mysql\":[\"CREATE TABLE If not exists Teams (\\n player_id INT,\\n team_name VARCHAR(100)\\n)\\n\\n\",\"CREATE TABLE if not exists Passes (\\n pass_from INT,\\n time_stamp VARCHAR(5),\\n pass_to INT\\n)\"],\"mssql\":[\"CREATE TABLE Teams (\\n player_id INT,\\n team_name VARCHAR(100)\\n)\\n\",\"\\nCREATE TABLE Passes (\\n pass_from INT,\\n time_stamp VARCHAR(5),\\n pass_to INT\\n)\"],\"oraclesql\":[\"CREATE TABLE Teams (\\n player_id NUMBER,\\n team_name VARCHAR2(100)\\n)\\n\\n\",\"CREATE TABLE Passes (\\n pass_from NUMBER,\\n time_stamp VARCHAR2(5),\\n pass_to NUMBER\\n)\"],\"database\":true,\"name\":\"calculate_longest_streaks\",\"pythondata\":[\"Teams = pd.DataFrame(columns=[\\\"player_id\\\", \\\"team_name\\\"]).astype({\\\"player_id\\\": \\\"int\\\", \\\"team_name\\\": \\\"string\\\"})\\n\",\"Passes = pd.DataFrame(columns=[\\\"pass_from\\\", \\\"time_stamp\\\", \\\"pass_to\\\"]).astype({\\\"pass_from\\\": \\\"int\\\", \\\"time_stamp\\\": \\\"string\\\", \\\"pass_to\\\": \\\"int\\\"})\\n\"],\"postgresql\":[\"CREATE TABLE IF NOT EXISTS Teams (\\n player_id INTEGER,\\n team_name VARCHAR(100)\\n);\\n\",\"CREATE TABLE IF NOT EXISTS Passes (\\n pass_from INTEGER,\\n time_stamp VARCHAR(5),\\n pass_to INTEGER\\n);\\n\"],\"database_schema\":{\"Teams\":{\"player_id\":\"INT\",\"team_name\":\"VARCHAR(100)\"},\"Passes\":{\"pass_from\":\"INT\",\"time_stamp\":\"VARCHAR(5)\",\"pass_to\":\"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "CREATE TABLE If not exists Teams (\n player_id INT,\n team_name VARCHAR(100)\n)\n\n", "CREATE TABLE if not exists Passes (\n pass_from INT,\n time_stamp VARCHAR(5),\n pass_to INT\n)", "Truncate table Teams", "insert into Teams (player_id, team_name) values ('1', 'Arsenal')", "insert into Teams (player_id, team_name) values ('2', 'Arsenal')", "insert into Teams (player_id, team_name) values ('3', 'Arsenal')", "insert into Teams (player_id, team_name) values ('4', 'Arsenal')", "insert into Teams (player_id, team_name) values ('5', 'Chelsea')", "insert into Teams (player_id, team_name) values ('6', 'Chelsea')", "insert into Teams (player_id, team_name) values ('7', 'Chelsea')", "insert into Teams (player_id, team_name) values ('8', 'Chelsea')", "Truncate table Passes", "insert into Passes (pass_from, time_stamp, pass_to) values ('1', '00:05', '2')", "insert into Passes (pass_from, time_stamp, pass_to) values ('2', '00:07', '3')", "insert into Passes (pass_from, time_stamp, pass_to) values ('3', '00:08', '4')", "insert into Passes (pass_from, time_stamp, pass_to) values ('4', '00:10', '5')", "insert into Passes (pass_from, time_stamp, pass_to) values ('6', '00:15', '7')", "insert into Passes (pass_from, time_stamp, pass_to) values ('7', '00:17', '8')", "insert into Passes (pass_from, time_stamp, pass_to) values ('8', '00:20', '6')", "insert into Passes (pass_from, time_stamp, pass_to) values ('6', '00:22', '5')", "insert into Passes (pass_from, time_stamp, pass_to) values ('1', '00:25', '2')", "insert into Passes (pass_from, time_stamp, pass_to) values ('2', '00:27', '3')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"
\\u7248\\u672c\\uff1a mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\" Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\" Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\" PostgreSQL 16<\\/p>\"]}",
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"isDailyQuestion": false,
"dailyRecordStatus": null,
"editorType": "CKEDITOR",
"ugcQuestionId": null,
"style": "LEETCODE",
"exampleTestcases": "{\"headers\":{\"Teams\":[\"player_id\",\"team_name\"],\"Passes\":[\"pass_from\",\"time_stamp\",\"pass_to\"]},\"rows\":{\"Teams\":[[1,\"Arsenal\"],[2,\"Arsenal\"],[3,\"Arsenal\"],[4,\"Arsenal\"],[5,\"Chelsea\"],[6,\"Chelsea\"],[7,\"Chelsea\"],[8,\"Chelsea\"]],\"Passes\":[[1,\"00:05\",2],[2,\"00:07\",3],[3,\"00:08\",4],[4,\"00:10\",5],[6,\"00:15\",7],[7,\"00:17\",8],[8,\"00:20\",6],[6,\"00:22\",5],[1,\"00:25\",2],[2,\"00:27\",3]]}}",
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}
}MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"