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leetcode-problemset/leetcode/originData/game-play-analysis-i.json

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{
"data": {
"question": {
"questionId": "1179",
"questionFrontendId": "511",
"boundTopicId": null,
"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": null,
"translatedContent": null,
"isPaidOnly": false,
"difficulty": "Easy",
"likes": 793,
"dislikes": 26,
"isLiked": null,
"similarQuestions": "[{\"title\": \"Game Play Analysis II\", \"titleSlug\": \"game-play-analysis-ii\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
"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]]}}",
"categoryTitle": "Database",
"contributors": [],
"topicTags": [
{
"name": "Database",
"slug": "database",
"translatedName": null,
"__typename": "TopicTagNode"
}
],
"companyTagStats": null,
"codeSnippets": [
{
"lang": "MySQL",
"langSlug": "mysql",
"code": "# Write your MySQL query statement below\n",
"__typename": "CodeSnippetNode"
},
{
"lang": "MS SQL Server",
"langSlug": "mssql",
"code": "/* Write your T-SQL query statement below */\n",
"__typename": "CodeSnippetNode"
},
{
"lang": "Oracle",
"langSlug": "oraclesql",
"code": "/* Write your PL/SQL query statement below */\n",
"__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\n",
"__typename": "CodeSnippetNode"
}
],
"stats": "{\"totalAccepted\": \"233.8K\", \"totalSubmission\": \"314.8K\", \"totalAcceptedRaw\": 233841, \"totalSubmissionRaw\": 314788, \"acRate\": \"74.3%\"}",
"hints": [],
"solution": {
"id": "1599",
"canSeeDetail": false,
"paidOnly": true,
"hasVideoSolution": false,
"paidOnlyVideo": true,
"__typename": "ArticleNode"
},
"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,
"enableTestMode": false,
"enableDebugger": false,
"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>\"]}",
"libraryUrl": null,
"adminUrl": null,
"challengeQuestion": null,
"__typename": "QuestionNode"
}
}
}