当我使用以下公式运行单个查询以使第一列回馈月/年时,第二列回报每月签名的人数,第三列回报签名者的运行总数,它的工作原理大:
SET @runtot1:=0;
SELECT
1rt.MONTH,
1rt.1signed,
(@runtot1 := @runtot1 + 1rt.1signed) AS 1rt
FROM
(SELECT
DATE_FORMAT(STR_TO_DATE(s.datecontacted,'%m/%d/%Y'),'%Y-%m') AS MONTH,
IFNULL(COUNT(DISTINCT CASE WHEN s.surveyid = 791796 THEN s.id ELSE NULL END),0) AS 1signed
FROM table1 s
JOIN table2 m ON s.id = m.id AND m.current = "Yes"
WHERE STR_TO_DATE(s.datecontacted,'%m/%d/%Y') > '2015-03-01'
GROUP BY MONTH
ORDER BY MONTH) AS 1rt
通过上面的查询,我得到了以下结果表,如果我只需要计算一件事,这就是我想要的结果:
MONTH 1signed 1rt
2015-03 0 0
2015-04 1 1
2015-05 0 1
2015-08 1 2
2015-10 1 3
2015-11 1 4
2016-01 0 4
2016-02 0 4
但我无法弄清楚如何使用多个子查询来实现这一点,因为我需要同时对多个列进行此操作。例如,我正在尝试这样的事情(which doesn't work):
SET @runtot1:=0;
SET @runtot2:=0;
select
DATE_FORMAT(STR_TO_DATE(s1.datecontacted,'%m/%d/%Y'),'%Y-%m') AS MONTH,
t1.1signed,
(@runtot1 := @runtot1 + t1.1signed) AS 1rt,
t2.2signed,
(@runtot2 := @runtot2 + t2.2signed) AS 2rt
from
(select
DATE_FORMAT(STR_TO_DATE(s.datecontacted,'%m/%d/%Y'),'%Y-%m') AS MONTH,
IFNULL(COUNT(DISTINCT CASE WHEN s.surveyid = 791796 THEN s.id ELSE NULL END),0) AS 1signed
from table1 s
left join table2 m ON m.id = s.id
where m.current = "Yes"
GROUP BY MONTH
ORDER BY MONTH) as T1,
(select
DATE_FORMAT(STR_TO_DATE(s.datecontacted,'%m/%d/%Y'),'%Y-%m') AS MONTH,
IFNULL(COUNT(DISTINCT CASE WHEN s.surveyid = 846346 THEN s.id ELSE NULL END),0) AS 2signed
from table1 s
left join table2 m ON m.id = s.id
where m.current = "Yes"
GROUP BY MONTH
ORDER BY MONTH) as T2,
table1 s1
LEFT JOIN table2 m1 ON m1.id = s1.id AND m1.current = "Yes"
WHERE STR_TO_DATE(s1.datecontacted,'%m/%d/%Y') > '2015-03-01'
GROUP BY DATE_FORMAT(STR_TO_DATE(s1.datecontacted,'%m/%d/%Y'),'%Y-%m')
ORDER BY DATE_FORMAT(STR_TO_DATE(s1.datecontacted,'%m/%d/%Y'),'%Y-%m')
这严重破坏了我的结果 - 我也尝试了LEFT JOIN以使这两个相互接触,但这也没有用。
这是一个 SQL Fiddle ,其中包含一些值,顶部的查询可以使用,但不是查询下面需要的查询。
如果代码的多子查询版本有效,则下面将是理想的最终结果:
MONTH 1signed 1rt 2signed 2rt
2015-03 0 0 1 1
2015-04 1 1 0 1
2015-05 0 1 1 2
2015-08 1 2 0 2
2015-10 1 3 0 2
2015-11 1 4 0 2
2016-01 0 4 0 2
2016-02 0 4 1 3
尝试找出一种方法,使用相同的查询,针对两个不同的调查问题,从2015年3月开始按月计算滚动总数。任何帮助将不胜感激!
答案 0 :(得分:1)
你的尝试实际上非常接近。我刚刚摆脱了S1并在MONTH列上将两个子查询连接在一起:
SET @runtot1:=0;
SET @runtot2:=0;
select
T1.MONTH,
t1.1signed,
(@runtot1 := @runtot1 + t1.1signed) AS 1rt,
t2.2signed,
(@runtot2 := @runtot2 + t2.2signed) AS 2rt
from
(select
DATE_FORMAT(STR_TO_DATE(s.datecontacted,'%m/%d/%Y'),'%Y-%m') AS MONTH,
IFNULL(COUNT(DISTINCT CASE WHEN s.surveyid = 791796 THEN s.id ELSE NULL END),0) AS 1signed
from table1 s
left join table2 m ON m.id = s.id
where m.current = "Yes" and STR_TO_DATE(s.datecontacted,'%m/%d/%Y') > '2015-03-01'
GROUP BY MONTH
ORDER BY MONTH) as T1,
(select
DATE_FORMAT(STR_TO_DATE(s.datecontacted,'%m/%d/%Y'),'%Y-%m') AS MONTH,
IFNULL(COUNT(DISTINCT CASE WHEN s.surveyid = 846346 THEN s.id ELSE NULL END),0) AS 2signed
from table1 s
left join table2 m ON m.id = s.id
where m.current = "Yes" and STR_TO_DATE(s.datecontacted,'%m/%d/%Y') > '2015-03-01'
GROUP BY MONTH
ORDER BY MONTH) as T2
WHERE
T1.MONTH=T2.MONTH
GROUP BY T1.MONTH
ORDER BY T1.MONTH
我还没有测试过Strawberry的解决方案,看起来更优雅。但我想你想知道你的方法(单独解决运行总数,然后将结果加在一起)也会有效。
答案 1 :(得分:0)
似乎你在追求这样的事情......
数据集:
DROP TABLE IF EXISTS table1;
CREATE TABLE table1
( id INT NOT NULL
, date_contacted DATE NOT NULL
, survey_id INT NOT NULL
, PRIMARY KEY(id,survey_id)
);
DROP TABLE IF EXISTS table2;
CREATE TABLE table2
(id INT NOT NULL PRIMARY KEY
,is_current TINYINT NOT NULL DEFAULT 0
);
INSERT INTO table1 VALUES
(1,"2015-03-05",846346),
(2,"2015-04-15",791796),
(2,"2015-05-04",846346),
(3,"2015-06-07",791796),
(3,"2015-06-08",846346),
(4,"2015-08-02",791796),
(5,"2015-10-15",791796),
(6,"2015-11-25",791796),
(6,"2016-01-02", 11235),
(6,"2016-02-06",846346);
INSERT INTO table2 (id,is_current) VALUES
(1,1),
(2,1),
(3,0),
(4,1),
(5,1),
(6,1);
查询:
SELECT x.*
, @a:=@a+a rt_a
, @b:=@b+b rt_b
FROM
( SELECT DATE_FORMAT(date_contacted,'%Y-%m') month
, SUM(survey_id = 791796) a
, SUM(survey_id = 846346) b
FROM table1 x
JOIN table2 y
ON y.id = x.id
WHERE y.is_current = 1
GROUP
BY month
) x
JOIN (SELECT @a:=0,@b:=0) vars
ORDER
BY month;
+---------+------+------+------+------+
| month | a | b | rt_a | rt_b |
+---------+------+------+------+------+
| 2015-03 | 0 | 1 | 0 | 1 |
| 2015-04 | 1 | 0 | 1 | 1 |
| 2015-05 | 0 | 1 | 1 | 2 |
| 2015-08 | 1 | 0 | 2 | 2 |
| 2015-10 | 1 | 0 | 3 | 2 |
| 2015-11 | 1 | 0 | 4 | 2 |
| 2016-01 | 0 | 0 | 4 | 2 |
| 2016-02 | 0 | 1 | 4 | 3 |
+---------+------+------+------+------+