add 534

fishercoder1534 · fishercoder1534 · commit df544860b991 · 2020-02-02T11:19:57.000-08:00
diff --git a/README.md b/README.md
@@ -896,6 +896,7 @@ _If you like this project, please leave me a star._ &#9733;
 |571|[Find Median Given Frequency of Numbers](https://leetcode.com/problems/find-median-given-frequency-of-numbers/)|[Solution](../master/database/_571.sql)  || Hard |
 |570|[Managers with at Least 5 Direct Reports](https://leetcode.com/problems/managers-with-at-least-5-direct-reports/)|[Solution](../master/database/_570.sql) || Medium |
 |569|[Median Employee Salary](https://leetcode.com/problems/median-employee-salary/)|[Solution](../master/database/_569.sql) || Hard |
+|534|[Game Play Analysis III](https://leetcode.com/problems/game-play-analysis-iii/)|[Solution](../master/database/_534.sql)|| Easy|
 |512|[Game Play Analysis II](https://leetcode.com/problems/game-play-analysis-ii/)|[Solution](../master/database/_512.sql)|| Easy|
 |511|[Game Play Analysis I](https://leetcode.com/problems/game-play-analysis-i/)|[Solution](../master/database/_511.sql)|| Easy| 
 |262|[Trips and Users](https://leetcode.com/problems/trips-and-users/)|[Solution](../master/database/_262.sql)||Hard| Inner Join
diff --git a/database/_534.sql b/database/_534.sql
@@ -0,0 +1,51 @@
+--534. Game Play Analysis III
+--
+--Table: Activity
+--
+--+--------------+---------+
+--| Column Name  | Type    |
+--+--------------+---------+
+--| player_id    | int     |
+--| device_id    | int     |
+--| event_date   | date    |
+--| games_played | int     |
+--+--------------+---------+
+--(player_id, event_date) is the primary key of this table.
+--This table shows the activity of players of some game.
+--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.
+--
+--
+--Write an SQL query that reports for each player and date, how many games played so far by the player. That is, the total number of games played by the player until that date. Check the example for clarity.
+--
+--The query result format is in the following example:
+--
+--Activity table:
+--+-----------+-----------+------------+--------------+
+--| player_id | device_id | event_date | games_played |
+--+-----------+-----------+------------+--------------+
+--| 1         | 2         | 2016-03-01 | 5            |
+--| 1         | 2         | 2016-05-02 | 6            |
+--| 1         | 3         | 2017-06-25 | 1            |
+--| 3         | 1         | 2016-03-02 | 0            |
+--| 3         | 4         | 2018-07-03 | 5            |
+--+-----------+-----------+------------+--------------+
+--
+--Result table:
+--+-----------+------------+---------------------+
+--| player_id | event_date | games_played_so_far |
+--+-----------+------------+---------------------+
+--| 1         | 2016-03-01 | 5                   |
+--| 1         | 2016-05-02 | 11                  |
+--| 1         | 2017-06-25 | 12                  |
+--| 3         | 2016-03-02 | 0                   |
+--| 3         | 2018-07-03 | 5                   |
+--+-----------+------------+---------------------+
+--For the player with id 1, 5 + 6 = 11 games played by 2016-05-02, and 5 + 6 + 1 = 12 games played by 2017-06-25.
+--For the player with id 3, 0 + 5 = 5 games played by 2018-07-03.
+--Note that for each player we only care about the days when the player logged in.
+
+--# Write your MySQL query statement below
+select a1.player_id, a1.event_date, sum(a2.games_played) as games_played_so_far from Activity a1
+inner join Activity a2
+on a1.player_id = a2.player_id and a1.event_date >= a2.event_date
+group by a1.player_id, a1.event_date;
