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- -- 511. Game Play Analysis I
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- --
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- -- Table: Activity
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- --
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- -- +--------------+---------+
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- -- | Column Name | Type |
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- -- +--------------+---------+
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- -- | player_id | int |
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- -- | device_id | int |
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- -- | event_date | date |
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- -- | games_played | int |
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- -- +--------------+---------+
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- -- (player_id, event_date) is the primary key of this table.
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- -- This table shows the activity of players of some game.
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- -- Each row is a record of a player who logged in and played a number of games (possibly 0) before logging out on some day using some device.
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- --
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- --
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- -- Write an SQL query that reports the first login date for each player.
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- --
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- -- The query result format is in the following example:
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- --
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- -- Activity table:
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- -- +-----------+-----------+------------+--------------+
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- -- | player_id | device_id | event_date | games_played |
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- -- +-----------+-----------+------------+--------------+
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- -- | 1 | 2 | 2016-03-01 | 5 |
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- -- | 1 | 2 | 2016-05-02 | 6 |
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- -- | 2 | 3 | 2017-06-25 | 1 |
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- -- | 3 | 1 | 2016-03-02 | 0 |
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- -- | 3 | 4 | 2018-07-03 | 5 |
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- -- +-----------+-----------+------------+--------------+
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- --
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- -- Result table:
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- -- +-----------+-------------+
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- -- | player_id | first_login |
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- -- +-----------+-------------+
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- -- | 1 | 2016-03-01 |
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- -- | 2 | 2017-06-25 |
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- -- | 3 | 2016-03-02 |
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- -- +-----------+-------------+
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-
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- -- # Write your MySQL query statement below
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-
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select player_id, min (event_date) as first_login
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from Activity
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group by player_id
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