MYSQL - SUM values of last 10 days - mysql

Question

I have this table in mysql:
| player1 | player2 | date | fs_1 | fs_2 |
Jack Tom 2015-03-02 10 2
Mark Riddley 2015-05-02 3 1
...
I need to know how many aces (fs_1) player 1 have done BEFORE the match reported in date_g (10 days before for example).
This is what i tried without success:
OPTION 1
SELECT
players_atp.name_p AS 'PLAYER 1',
P.name_p AS 'PLAYER 2',
DATE(date_g) AS 'DATE',
result_g AS 'RESULT',
FS_1,
FS_2,
SUM(IF(date_sub(date_g, interval 10 day)< date_g, FS_1, 0)) AS 'last 10 days'
FROM
stat_atp stat_atp
JOIN
backup3.players_atp ON ID1 = id_P
JOIN
backup3.players_atp P ON P.id_p = id2
JOIN
backup3.games_atp ON id1_g = id1 AND id2_g = id2
AND id_t_g = id_t
AND id_r_g = id_r
WHERE
date_g > '2015-01-01'
GROUP BY ID1;
OPTION 2
SELECT
players_atp.name_p AS 'PLAYER 1',
P.name_p AS 'PLAYER 2',
DATE(date_g) AS 'DATE',
result_g AS 'RESULT',
FS_1,
FS_2,
SUM(CASE WHEN date_g between date_g and date_sub(date_g, interval 10 day) then fs_1 else 0 end) AS 'last 10 days'
FROM
stat_atp stat_atp
JOIN
backup3.players_atp ON ID1 = id_P
JOIN
backup3.players_atp P ON P.id_p = id2
JOIN
backup3.games_atp ON id1_g = id1 AND id2_g = id2
AND id_t_g = id_t
AND id_r_g = id_r
WHERE
date_g > '2015-01-01'
GROUP BY ID1;
I have edited the code, now is more easy to read and understand.
SELECT
id1 AS 'PLAYER 1',
id2 AS 'PLAYER 2',
DATE(date_g) AS 'DATE',
result_g AS 'RESULT',
FS_1,
FS_2,
SUM(CASE
WHEN date_g BETWEEN date_g AND DATE_SUB(date_g, INTERVAL 10 DAY) THEN fs_1
END) AS 'last 20 days' FROM
stat_atp stat_atp
JOIN
backup3.games_atp ON id1_g = id1 AND id2_g = id2
AND id_t_g = id_t
AND id_r_g = id_r GROUP BY ID1;
Thanx in advance.

Answer 1

Maybe this could help you:
SELECT
id1,
SUM(fs_1)
FROM
stat_atp
WHERE
date_g <= DATE_SUB('2015-03-02', INTERVAL 1 DAY) AND date_g >= DATE_SUB('2015-03-02', INTERVAL 10 DAY)
AND
id1='Jack'
GROUP BY id1;
Remember that RDBMS are used to construct rigorous data sets that are linked between each others by clear ids (keys when talking about SQL). It's easier to respect the three first normal forms. That's why you should use keys to identify your match itself. By this way you could use subqueries (subsets) to achieve your goal.
Then, keep in mind that SQL is STRUCTURED. It's its force and weakness cause you won't be able to use it as a Turing complete programming langage with loops and conditions. But in any situation you will be able to find the same structure for a query. However you can interact with a SQL query result with another langage and use loops and condition on the result set itself. That's up to you.
Anyway, you may want to read about the MySQL GROUP BY clause which is different from the ISO SQL form : https://dev.mysql.com/doc/refman/5.7/en/group-by-handling.html