Table: Activity
\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| player_id | int |\n| device_id | int |\n| event_date | date |\n| games_played | int |\n+--------------+---------+\n(player_id, event_date) is the primary key (combination of columns with unique values) of this table.\nThis table shows the activity of players of some games.\nEach row is a record of a player who logged in and played a number of games (possibly 0) before logging out on someday using some device.\n\n\n
\n\n
Write a solution to find the first login date for each player.
\n\nReturn the result table in any order.
\n\nThe result format is in the following example.
\n\n\n
Example 1:
\n\n\nInput: \nActivity table:\n+-----------+-----------+------------+--------------+\n| player_id | device_id | event_date | games_played |\n+-----------+-----------+------------+--------------+\n| 1 | 2 | 2016-03-01 | 5 |\n| 1 | 2 | 2016-05-02 | 6 |\n| 2 | 3 | 2017-06-25 | 1 |\n| 3 | 1 | 2016-03-02 | 0 |\n| 3 | 4 | 2018-07-03 | 5 |\n+-----------+-----------+------------+--------------+\nOutput: \n+-----------+-------------+\n| player_id | first_login |\n+-----------+-------------+\n| 1 | 2016-03-01 |\n| 2 | 2017-06-25 |\n| 3 | 2016-03-02 |\n+-----------+-------------+\n\n", "translatedTitle": "游戏玩法分析 I", "translatedContent": "
活动表 Activity：
\n+--------------+---------+\n| Column Name | Type |\n+--------------+---------+\n| player_id | int |\n| device_id | int |\n| event_date | date |\n| games_played | int |\n+--------------+---------+\n在 SQL 中，表的主键是 (player_id, event_date)。\n这张表展示了一些游戏玩家在游戏平台上的行为活动。\n每行数据记录了一名玩家在退出平台之前，当天使用同一台设备登录平台后打开的游戏的数目（可能是 0 个）。\n\n\n
\n\n
查询每位玩家 第一次登陆平台的日期。
\n\n查询结果的格式如下所示：
\n\n\nActivity 表：\n+-----------+-----------+------------+--------------+\n| player_id | device_id | event_date | games_played |\n+-----------+-----------+------------+--------------+\n| 1 | 2 | 2016-03-01 | 5 |\n| 1 | 2 | 2016-05-02 | 6 |\n| 2 | 3 | 2017-06-25 | 1 |\n| 3 | 1 | 2016-03-02 | 0 |\n| 3 | 4 | 2018-07-03 | 5 |\n+-----------+-----------+------------+--------------+\n\nResult 表：\n+-----------+-------------+\n| player_id | first_login |\n+-----------+-------------+\n| 1 | 2016-03-01 |\n| 2 | 2017-06-25 |\n| 3 | 2016-03-02 |\n+-----------+-------------+\n\n", "isPaidOnly": false, "difficulty": "Easy", "likes": 136, "dislikes": 0, "isLiked": null, "similarQuestions": "[{\"title\": \"Game Play Analysis II\", \"titleSlug\": \"game-play-analysis-ii\", \"difficulty\": \"Easy\", \"translatedTitle\": \"\\u6e38\\u620f\\u73a9\\u6cd5\\u5206\\u6790 II\", \"isPaidOnly\": true}]", "contributors": [], "langToValidPlayground": "{\"cpp\": false, \"java\": false, \"python\": false, \"python3\": false, \"mysql\": false, \"mssql\": false, \"oraclesql\": false, \"c\": false, \"csharp\": false, \"javascript\": false, \"typescript\": false, \"bash\": false, \"php\": false, \"swift\": false, \"kotlin\": false, \"dart\": false, \"golang\": false, \"ruby\": false, \"scala\": false, \"html\": false, \"pythonml\": false, \"rust\": false, \"racket\": false, \"erlang\": false, \"elixir\": false, \"pythondata\": false, \"react\": false, \"vanillajs\": false, \"postgresql\": false}", "topicTags": [ { "name": "Database", "slug": "database", "translatedName": "数据库", "__typename": "TopicTagNode" } ], "companyTagStats": null, "codeSnippets": [ { "lang": "MySQL", "langSlug": "mysql", "code": "# Write your MySQL query statement below", "__typename": "CodeSnippetNode" }, { "lang": "MS SQL Server", "langSlug": "mssql", "code": "/* Write your T-SQL query statement below */", "__typename": "CodeSnippetNode" }, { "lang": "Oracle", "langSlug": "oraclesql", "code": "/* Write your PL/SQL query statement below */", "__typename": "CodeSnippetNode" }, { "lang": "Pandas", "langSlug": "pythondata", "code": "import pandas as pd\n\ndef game_analysis(activity: pd.DataFrame) -> pd.DataFrame:\n ", "__typename": "CodeSnippetNode" }, { "lang": "PostgreSQL", "langSlug": "postgresql", "code": "-- Write your PostgreSQL query statement below", "__typename": "CodeSnippetNode" } ], "stats": "{\"totalAccepted\": \"105.6K\", \"totalSubmission\": \"149.3K\", \"totalAcceptedRaw\": 105591, \"totalSubmissionRaw\": 149328, \"acRate\": \"70.7%\"}", "hints": [], "solution": null, "status": null, "sampleTestCase": "{\"headers\":{\"Activity\":[\"player_id\",\"device_id\",\"event_date\",\"games_played\"]},\"rows\":{\"Activity\":[[1,2,\"2016-03-01\",5],[1,2,\"2016-05-02\",6],[2,3,\"2017-06-25\",1],[3,1,\"2016-03-02\",0],[3,4,\"2018-07-03\",5]]}}", "metaData": "{\"mysql\":[\"Create table If Not Exists Activity (player_id int, device_id int, event_date date, games_played int)\"],\"mssql\":[\"Create table Activity (player_id int, device_id int, event_date date, games_played int)\"],\"oraclesql\":[\"Create table Activity (player_id int, device_id int, event_date date, games_played int)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"game_analysis\",\"pythondata\":[\"Activity = pd.DataFrame([], columns=['player_id', 'device_id', 'event_date', 'games_played']).astype({'player_id':'Int64', 'device_id':'Int64', 'event_date':'datetime64[ns]', 'games_played':'Int64'})\"],\"manual\":false,\"postgresql\":[\"Create table If Not Exists Activity (player_id int, device_id int, event_date date, games_played int)\"],\"database_schema\":{\"Activity\":{\"player_id\":\"INT\",\"device_id\":\"INT\",\"event_date\":\"DATE\",\"games_played\":\"INT\"}}}", "judgerAvailable": true, "judgeType": "large", "mysqlSchemas": [ "Create table If Not Exists Activity (player_id int, device_id int, event_date date, games_played int)", "Truncate table Activity", "insert into Activity (player_id, device_id, event_date, games_played) values ('1', '2', '2016-03-01', '5')", "insert into Activity (player_id, device_id, event_date, games_played) values ('1', '2', '2016-05-02', '6')", "insert into Activity (player_id, device_id, event_date, games_played) values ('2', '3', '2017-06-25', '1')", "insert into Activity (player_id, device_id, event_date, games_played) values ('3', '1', '2016-03-02', '0')", "insert into Activity (player_id, device_id, event_date, games_played) values ('3', '4', '2018-07-03', '5')" ], "enableRunCode": true, "envInfo": "{\"mysql\":[\"MySQL\",\"
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