Longest Winning Streak
[]
["Create table If Not Exists Matches (player_id int, match_day date, result ENUM('Win', 'Draw', 'Lose'))", 'Truncate table Matches', "insert into Matches (player_id, match_day, result) values ('1', '2022-01-17', 'Win')", "insert into Matches (player_id, match_day, result) values ('1', '2022-01-18', 'Win')", "insert into Matches (player_id, match_day, result) values ('1', '2022-01-25', 'Win')", "insert into Matches (player_id, match_day, result) values ('1', '2022-01-31', 'Draw')", "insert into Matches (player_id, match_day, result) values ('1', '2022-02-08', 'Win')", "insert into Matches (player_id, match_day, result) values ('2', '2022-02-06', 'Lose')", "insert into Matches (player_id, match_day, result) values ('2', '2022-02-08', 'Lose')", "insert into Matches (player_id, match_day, result) values ('3', '2022-03-30', 'Win')"]
{"mysql": ["Create table If Not Exists Matches (player_id int, match_day date, result ENUM('Win', 'Draw', 'Lose'))"], "mssql": ["Create table Matches (player_id int, match_day date, result VARCHAR(4) NOT NULL CHECK (result IN ('Win', 'Draw', 'Lose')))"], "oraclesql": ["Create table Matches (player_id int, match_day date, result VARCHAR(4) NOT NULL CHECK (result IN ('Win', 'Draw', 'Lose')))", "ALTER SESSION SET nls_date_format='YYYY-MM-DD'"], "database": true, "name": "longest_winning_streak", "pythondata": ["Matches = pd.DataFrame([], columns=['player_id', 'match_day', 'result']).astype({'player_id':'Int64', 'match_day':'datetime64[ns]', 'result':'object'})"], "postgresql": ["Create table If Not Exists Matches (player_id int, match_day date, result VARCHAR(30) CHECK (result IN ('Win', 'Draw', 'Lose')))\n"], "database_schema": {"Matches": {"player_id": "INT", "match_day": "DATE", "result": "ENUM('Win', 'Draw', 'Lose')"}}}
{"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 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']