-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path511-GamePlayAnalysisI.sql
More file actions
54 lines (50 loc) · 2.23 KB
/
511-GamePlayAnalysisI.sql
File metadata and controls
54 lines (50 loc) · 2.23 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
-- 511. Game Play Analysis I
-- 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 games.
-- Each 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.
-- Write an SQL query to report the first login date for each player.
-- Return the result table in any order.
-- The query result format is in the following example.
-- Example 1:
-- Input:
-- Activity table:
-- +-----------+-----------+------------+--------------+
-- | player_id | device_id | event_date | games_played |
-- +-----------+-----------+------------+--------------+
-- | 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 |
-- +-----------+-----------+------------+--------------+
-- Output:
-- +-----------+-------------+
-- | player_id | first_login |
-- +-----------+-------------+
-- | 1 | 2016-03-01 |
-- | 2 | 2017-06-25 |
-- | 3 | 2016-03-02 |
-- +-----------+-------------+
-- 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')
SELECT
player_id,
MIN(event_date) AS first_login
FROM
Activity
GROUP BY
player_id