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leetcode-problemset/leetcode-cn/originData/game-play-analysis-i.json
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{
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"question": {
"questionId": "1179",
"questionFrontendId": "511",
"categoryTitle": "Database",
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"title": "Game Play Analysis I",
"titleSlug": "game-play-analysis-i",
"content": "<p>Table: <code>Activity</code></p>\n\n<pre>\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</pre>\n\n<p>&nbsp;</p>\n\n<p>Write a solution to find the <strong>first login date</strong> for each player.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \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+-----------+-----------+------------+--------------+\n<strong>Output:</strong> \n+-----------+-------------+\n| player_id | first_login |\n+-----------+-------------+\n| 1 | 2016-03-01 |\n| 2 | 2017-06-25 |\n| 3 | 2016-03-02 |\n+-----------+-------------+\n</pre>\n",
"translatedTitle": "游戏玩法分析 I",
"translatedContent": "<p>活动表&nbsp;<code>Activity</code></p>\n\n<pre>\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</pre>\n\n<p>&nbsp;</p>\n\n<p>查询每位玩家 <strong>第一次登陆平台的日期</strong>。</p>\n\n<p>查询结果的格式如下所示:</p>\n\n<pre>\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</pre>\n",
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"lang": "MySQL",
"langSlug": "mysql",
"code": "# Write your MySQL query statement below",
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"code": "import pandas as pd\n\ndef game_analysis(activity: pd.DataFrame) -> pd.DataFrame:\n ",
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"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]]}}",
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"Create table If Not Exists Activity (player_id int, device_id int, event_date date, games_played int)",
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"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')"
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"exampleTestcases": "{\"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]]}}",
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