如何根据相同的日期范围计算来自不同 table 的行数
How to count rows from a different table based on same date range
EDIT 虽然接受的答案与我在写这个问题时正在寻找的答案不符，但它确实显示了我已经拥有的更好的方法（哪个是他们想要的）生产中的数据 tables 是错误的，意味着数字是错误的。
我正在努力创建 sql 语句来创建此 post 底部的报告。我已经包含了创建我的 table 和测试数据的语句。所以从这里开始是 picture_stats
的创建语句
CREATE TABLE [picture_stats](
[PICTURE_STATS_ID] [int] NULL,
[USER_NAME] [varchar](30) NULL,
[DATE_TIME] [datetime] NULL,
[SIZE] [float] NULL,
[CLICK_COUNT] [int] NULL
) ON [PRIMARY]
GO
Insert 语句将数据放入 picture_stats
INSERT INTO [picture_stats]
([PICTURE_STATS_ID]
,[USER_NAME]
,[DATE_TIME]
,[SIZE]
,[CLICK_COUNT])
VALUES
(1 ,'A','2015-05-18'75,18),
(2 ,'A','2015-05-18'13,18),
(3 ,'A','2015-05-18'42,16),
(4 ,'A','2015-05-18'59,16),
(5 ,'A','2015-05-18'46,14),
(6 ,'A','2015-05-18'64,16),
(7 ,'A','2015-05-18'87,13),
(8 ,'A','2015-05-18'84,14),
(9 ,'A','2015-05-18'33,16),
(10,'A','2015-05-18'59,14),
(11,'B','2015-05-19'10,17),
(12,'B','2015-05-19'44,18),
(13,'B','2015-05-19'29,14),
(14,'B','2015-05-19'65,19),
(15,'B','2015-05-19'10,15),
(16,'B','2015-05-19'55,18),
(17,'B','2015-05-19'81,11),
(18,'B','2015-05-19'29,11),
(19,'B','2015-05-19'58,19),
(20,'B','2015-05-19'20,17),
(21,'C','2015-05-20'35,16),
(22,'C','2015-05-20'70,18),
(23,'C','2015-05-20'30,13),
(24,'C','2015-05-20'33,13),
(25,'C','2015-05-20'43,19),
(26,'C','2015-05-20'10,15),
(27,'C','2015-05-20'33,13),
(28,'C','2015-05-20'23,12),
(29,'C','2015-05-20'35,18),
(30,'C','2015-05-20'58,19)
GO
Table 查看数据。
ID USER_NAME DATE_TIME SIZE CLICK_COUNT
-- --------- ---------- ---- -----------
1 A 2015-05-18 75 18
2 A 2015-05-18 1 18
3 A 2015-05-18 42 16
4 A 2015-05-18 59 16
5 A 2015-05-18 46 14
6 A 2015-05-18 64 16
7 A 2015-05-18 87 13
8 A 2015-05-18 84 14
9 A 2015-05-18 33 16
10 A 2015-05-18 59 14
11 B 2015-05-19 10 17
12 B 2015-05-19 44 18
13 B 2015-05-19 29 14
14 B 2015-05-19 65 19
15 B 2015-05-19 100 15
16 B 2015-05-19 55 18
17 B 2015-05-19 81 11
18 B 2015-05-19 29 11
19 B 2015-05-19 58 19
20 B 2015-05-19 20 17
21 C 2015-05-20 35 16
22 C 2015-05-20 7 18
23 C 2015-05-20 30 13
24 C 2015-05-20 33 13
25 C 2015-05-20 4 19
26 C 2015-05-20 100 15
27 C 2015-05-20 33 13
28 C 2015-05-20 23 12
29 C 2015-05-20 35 18
30 C 2015-05-20 58 19
第二个 table picture_comment_stats 可以这样创建：
CREATE TABLE [picture_comment_stats](
[PICTURE_STATS_ID] [int] NULL,
[USER_NAME] [varchar](30) NULL,
[DATE_TIME] [datetime] NULL,
[CLICK_COUNT] [int] NULL,
[LIKES] [int] NULL,
) ON [PRIMARY]
GO
要在数据中编写脚本：
INSERT INTO [picture_comment_stats]
([PICTURE_STATS_ID]
,[USER_NAME]
,[DATE_TIME]
,[CLICK_COUNT]
,[LIKES])
VALUES
(1 ,'X','2015-05-18',75,18),
(2 ,'X','2015-05-18',1 ,18),
(3 ,'X','2015-05-18',42,16),
(4 ,'X','2015-05-18',59,16),
(9 ,'X','2015-05-19',34,16),
(10,'X','2015-05-19',57,14),
(11,'Y','2015-05-19',11,17),
(12,'Y','2015-05-19',44,18),
(17,'Y','2015-05-20',81,11),
(18,'Y','2015-05-20',29,11),
(19,'Y','2015-05-20',55,19),
(21,'Z','2015-05-20',45,16),
(20,'Y','2015-05-21',20,17),
(22,'Z','2015-05-21',7 ,18),
(23,'Z','2015-05-21',30,13),
(24,'Z','2015-05-21',39,13),
(25,'Z','2015-05-21',4 ,19),
(26,'Z','2015-05-21',10,15),
(27,'Z','2015-05-21',33,13),
(28,'Z','2015-05-21',23,12),
(29,'Z','2015-05-21',35,18),
(30,'Z','2015-05-21',58,19)
GO
table 应该是这样的。
ID USER_NAME DATE_TIME COMMENT_ID LIKES
-- --------- ---------- ---------- -----
1 X 2015-05-18 75 18
2 X 2015-05-18 1 18
3 X 2015-05-18 42 16
4 X 2015-05-18 59 16
9 X 2015-05-19 34 16
10 X 2015-05-19 57 14
11 Y 2015-05-19 11 17
12 Y 2015-05-19 44 18
17 Y 2015-05-20 81 11
18 Y 2015-05-20 29 11
19 Y 2015-05-20 55 19
21 Z 2015-05-20 45 16
20 Y 2015-05-21 20 17
22 Z 2015-05-21 7 18
23 Z 2015-05-21 30 13
24 Z 2015-05-21 39 13
25 Z 2015-05-21 4 19
26 Z 2015-05-21 10 15
27 Z 2015-05-21 33 13
28 Z 2015-05-21 23 12
29 Z 2015-05-21 35 18
30 Z 2015-05-21 58 19
我想做的是生成一个数据报告，这样我就有了用户名、图片的数量以及对个人图片的评论数量。 table中的picture_stats_id实际上是指向table'pictures'主键picture_id的外键。我希望能够选择一个日期或日期范围并像这样显示的报告：我希望报告能够针对不同的 3 天场景显示以下内容
(Filtered for Date:2015-05-18)
USER_NAME PICS COMMENTS
--------- ---- --------
A 10 4
(Filtered for Date:2015-05-19)
USER_NAME PICS COMMENTS
--------- ---- --------
B 10 2
(Filtered for Date:2015-05-20)
USER_NAME PICS COMMENTS
--------- ---- --------
C 10 1
(Filtered for Date:2015-05-18 to 2015-05-19)
USER_NAME PICS COMMENTS
--------- ---- --------
A 10 6
B 10 2
(Filtered for Date:2015-05-19 to 2015-05-20)
USER_NAME PICS COMMENTS
--------- ---- --------
B 10 2
C 10 1
(Filtered for Date:2015-05-18 to 2015-05-20)
USER_NAME PICS COMMENTS
--------- ---- --------
A 10 6
B 10 5
C 10 1
到目前为止我只有
SELECT ps.USER_NAME as USER_NAME,
COUNT(*) as PICTURE_COUNT,
SUM(1) AS COMMENT_COUNT -- can't figure out this statement for nothing.
from picture_comment_stats pcs
RIGHT OUTER JOIN picture_stats ps ON ps.PICTURE_STATS_ID = pcs.PICTURE_STATS_ID
--WHERE ps.DATE_TIME BETWEEN @beginFilterDate AND @endFilterDate
GROUP BY ps.USER_NAME
ORDER BY ps.USER_NAME
编辑
以下评论中给出的 fiddle 地址：http://sqlfiddle.com/#!3/74e77
为了澄清我试图获得的计数。第二列是当天用户 post 编辑的图片数量。第三列是仅在指定日期对用户图片进行了多少评论。因此，即使 X 对 A 的图片总共评论了 6 次（18 日和 19 日），如果我在 18 日过滤，我只想计算 4 次，如果我在 18-19 日过滤，我只想计算 6 次。我敢肯定，这有点难以理解，但这就是我们想要的。
SELECT --ps.USER_NAME as USER_NAME,
s.user_name,
count(distinct c.comment_id) as comments,
count(s.picture_stats_id) as pics
--COUNT(*) as PICTURE_COUNT,
--SUM(1) AS COMMENT_COUNT
from --commenting.transcription_audit_stats pcs
-- RIGHT OUTER JOIN commenting.transcription_stats ps ON ps.SURVEY_STATS_ID --= pcs.SURVEY_STATS_ID
picture_stats s
left join picture_comment_stats c
on s.picture_stats_id = c.picture_stats_id
and s.date_time = c.date_time
where s.date_time between --specified date range
--WHERE ps.DATE_TIME BETWEEN @beginFilterDate AND @endFilterDate
--GROUP BY ps.USER_NAME
--ORDER BY ps.USER_NAME
group by s.user_name,s.date_time
尝试此操作并从您拥有的查找 table 中获取用户名。同时过滤您需要的日期。
EDIT 虽然接受的答案与我在写这个问题时正在寻找的答案不符，但它确实显示了我已经拥有的更好的方法（哪个是他们想要的）生产中的数据 tables 是错误的，意味着数字是错误的。
我正在努力创建 sql 语句来创建此 post 底部的报告。我已经包含了创建我的 table 和测试数据的语句。所以从这里开始是 picture_stats
的创建语句CREATE TABLE [picture_stats](
[PICTURE_STATS_ID] [int] NULL,
[USER_NAME] [varchar](30) NULL,
[DATE_TIME] [datetime] NULL,
[SIZE] [float] NULL,
[CLICK_COUNT] [int] NULL
) ON [PRIMARY]
GO
Insert 语句将数据放入 picture_stats
INSERT INTO [picture_stats]
([PICTURE_STATS_ID]
,[USER_NAME]
,[DATE_TIME]
,[SIZE]
,[CLICK_COUNT])
VALUES
(1 ,'A','2015-05-18'75,18),
(2 ,'A','2015-05-18'13,18),
(3 ,'A','2015-05-18'42,16),
(4 ,'A','2015-05-18'59,16),
(5 ,'A','2015-05-18'46,14),
(6 ,'A','2015-05-18'64,16),
(7 ,'A','2015-05-18'87,13),
(8 ,'A','2015-05-18'84,14),
(9 ,'A','2015-05-18'33,16),
(10,'A','2015-05-18'59,14),
(11,'B','2015-05-19'10,17),
(12,'B','2015-05-19'44,18),
(13,'B','2015-05-19'29,14),
(14,'B','2015-05-19'65,19),
(15,'B','2015-05-19'10,15),
(16,'B','2015-05-19'55,18),
(17,'B','2015-05-19'81,11),
(18,'B','2015-05-19'29,11),
(19,'B','2015-05-19'58,19),
(20,'B','2015-05-19'20,17),
(21,'C','2015-05-20'35,16),
(22,'C','2015-05-20'70,18),
(23,'C','2015-05-20'30,13),
(24,'C','2015-05-20'33,13),
(25,'C','2015-05-20'43,19),
(26,'C','2015-05-20'10,15),
(27,'C','2015-05-20'33,13),
(28,'C','2015-05-20'23,12),
(29,'C','2015-05-20'35,18),
(30,'C','2015-05-20'58,19)
GO
Table 查看数据。
ID USER_NAME DATE_TIME SIZE CLICK_COUNT
-- --------- ---------- ---- -----------
1 A 2015-05-18 75 18
2 A 2015-05-18 1 18
3 A 2015-05-18 42 16
4 A 2015-05-18 59 16
5 A 2015-05-18 46 14
6 A 2015-05-18 64 16
7 A 2015-05-18 87 13
8 A 2015-05-18 84 14
9 A 2015-05-18 33 16
10 A 2015-05-18 59 14
11 B 2015-05-19 10 17
12 B 2015-05-19 44 18
13 B 2015-05-19 29 14
14 B 2015-05-19 65 19
15 B 2015-05-19 100 15
16 B 2015-05-19 55 18
17 B 2015-05-19 81 11
18 B 2015-05-19 29 11
19 B 2015-05-19 58 19
20 B 2015-05-19 20 17
21 C 2015-05-20 35 16
22 C 2015-05-20 7 18
23 C 2015-05-20 30 13
24 C 2015-05-20 33 13
25 C 2015-05-20 4 19
26 C 2015-05-20 100 15
27 C 2015-05-20 33 13
28 C 2015-05-20 23 12
29 C 2015-05-20 35 18
30 C 2015-05-20 58 19
第二个 table picture_comment_stats 可以这样创建：
CREATE TABLE [picture_comment_stats](
[PICTURE_STATS_ID] [int] NULL,
[USER_NAME] [varchar](30) NULL,
[DATE_TIME] [datetime] NULL,
[CLICK_COUNT] [int] NULL,
[LIKES] [int] NULL,
) ON [PRIMARY]
GO
要在数据中编写脚本：
INSERT INTO [picture_comment_stats]
([PICTURE_STATS_ID]
,[USER_NAME]
,[DATE_TIME]
,[CLICK_COUNT]
,[LIKES])
VALUES
(1 ,'X','2015-05-18',75,18),
(2 ,'X','2015-05-18',1 ,18),
(3 ,'X','2015-05-18',42,16),
(4 ,'X','2015-05-18',59,16),
(9 ,'X','2015-05-19',34,16),
(10,'X','2015-05-19',57,14),
(11,'Y','2015-05-19',11,17),
(12,'Y','2015-05-19',44,18),
(17,'Y','2015-05-20',81,11),
(18,'Y','2015-05-20',29,11),
(19,'Y','2015-05-20',55,19),
(21,'Z','2015-05-20',45,16),
(20,'Y','2015-05-21',20,17),
(22,'Z','2015-05-21',7 ,18),
(23,'Z','2015-05-21',30,13),
(24,'Z','2015-05-21',39,13),
(25,'Z','2015-05-21',4 ,19),
(26,'Z','2015-05-21',10,15),
(27,'Z','2015-05-21',33,13),
(28,'Z','2015-05-21',23,12),
(29,'Z','2015-05-21',35,18),
(30,'Z','2015-05-21',58,19)
GO
table 应该是这样的。
ID USER_NAME DATE_TIME COMMENT_ID LIKES
-- --------- ---------- ---------- -----
1 X 2015-05-18 75 18
2 X 2015-05-18 1 18
3 X 2015-05-18 42 16
4 X 2015-05-18 59 16
9 X 2015-05-19 34 16
10 X 2015-05-19 57 14
11 Y 2015-05-19 11 17
12 Y 2015-05-19 44 18
17 Y 2015-05-20 81 11
18 Y 2015-05-20 29 11
19 Y 2015-05-20 55 19
21 Z 2015-05-20 45 16
20 Y 2015-05-21 20 17
22 Z 2015-05-21 7 18
23 Z 2015-05-21 30 13
24 Z 2015-05-21 39 13
25 Z 2015-05-21 4 19
26 Z 2015-05-21 10 15
27 Z 2015-05-21 33 13
28 Z 2015-05-21 23 12
29 Z 2015-05-21 35 18
30 Z 2015-05-21 58 19
我想做的是生成一个数据报告，这样我就有了用户名、图片的数量以及对个人图片的评论数量。 table中的picture_stats_id实际上是指向table'pictures'主键picture_id的外键。我希望能够选择一个日期或日期范围并像这样显示的报告：我希望报告能够针对不同的 3 天场景显示以下内容
(Filtered for Date:2015-05-18)
USER_NAME PICS COMMENTS
--------- ---- --------
A 10 4
(Filtered for Date:2015-05-19)
USER_NAME PICS COMMENTS
--------- ---- --------
B 10 2
(Filtered for Date:2015-05-20)
USER_NAME PICS COMMENTS
--------- ---- --------
C 10 1
(Filtered for Date:2015-05-18 to 2015-05-19)
USER_NAME PICS COMMENTS
--------- ---- --------
A 10 6
B 10 2
(Filtered for Date:2015-05-19 to 2015-05-20)
USER_NAME PICS COMMENTS
--------- ---- --------
B 10 2
C 10 1
(Filtered for Date:2015-05-18 to 2015-05-20)
USER_NAME PICS COMMENTS
--------- ---- --------
A 10 6
B 10 5
C 10 1
到目前为止我只有
SELECT ps.USER_NAME as USER_NAME,
COUNT(*) as PICTURE_COUNT,
SUM(1) AS COMMENT_COUNT -- can't figure out this statement for nothing.
from picture_comment_stats pcs
RIGHT OUTER JOIN picture_stats ps ON ps.PICTURE_STATS_ID = pcs.PICTURE_STATS_ID
--WHERE ps.DATE_TIME BETWEEN @beginFilterDate AND @endFilterDate
GROUP BY ps.USER_NAME
ORDER BY ps.USER_NAME
编辑
以下评论中给出的 fiddle 地址：http://sqlfiddle.com/#!3/74e77
为了澄清我试图获得的计数。第二列是当天用户 post 编辑的图片数量。第三列是仅在指定日期对用户图片进行了多少评论。因此，即使 X 对 A 的图片总共评论了 6 次（18 日和 19 日），如果我在 18 日过滤，我只想计算 4 次，如果我在 18-19 日过滤，我只想计算 6 次。我敢肯定，这有点难以理解，但这就是我们想要的。
SELECT --ps.USER_NAME as USER_NAME,
s.user_name,
count(distinct c.comment_id) as comments,
count(s.picture_stats_id) as pics
--COUNT(*) as PICTURE_COUNT,
--SUM(1) AS COMMENT_COUNT
from --commenting.transcription_audit_stats pcs
-- RIGHT OUTER JOIN commenting.transcription_stats ps ON ps.SURVEY_STATS_ID --= pcs.SURVEY_STATS_ID
picture_stats s
left join picture_comment_stats c
on s.picture_stats_id = c.picture_stats_id
and s.date_time = c.date_time
where s.date_time between --specified date range
--WHERE ps.DATE_TIME BETWEEN @beginFilterDate AND @endFilterDate
--GROUP BY ps.USER_NAME
--ORDER BY ps.USER_NAME
group by s.user_name,s.date_time
尝试此操作并从您拥有的查找 table 中获取用户名。同时过滤您需要的日期。