我目前有一个表（SQL Server 2005），它记录了我的Web应用程序的访问，我想整理一些代码来报告（并显示该流量的可视化）。我想要的是显示过去24小时内每十分钟间隔内的访问次数。
我有一个查询可以做到这一点，但有十分钟的间隔期间没有访问，我想调整我的查询以显示这些间隔的零计数。我想我可以使用游标来提出一些东西，但如果我能避免它，我宁愿不使用它们。
以下是目前的查询：
DECLARE @time int
DECLARE @interval int
SELECT @time=96
SELECT @interval=10
SELECT interval,
COUNT(*) AS requestCount,
DATEDIFF(MINUTE,DATEADD(HOUR,-1*@time-1,getDate()),interval)/@interval AS intervalPos
FROM
(SELECT DATEADD(MINUTE, FLOOR(DATEDIFF(MINUTE, getDate(), requestBegin) / (@interval*1.0)) * @interval,getDate())
FROM [track_pageSubmit] WHERE requestBegin IS NOT NULL AND DATEDIFF(HOUR,requestBegin,getDate()) < @time) AS I(interval)
GROUP BY interval ORDER BY interval
这是表结构：
CREATE TABLE [dbo].[Track_PageSubmit](
[id] [int] IDENTITY(1,1) NOT NULL,
[popid] [int] NOT NULL,
[section] [varchar](30) NULL,
[page] [int] NULL,
[requestBegin] [datetime] NULL,
[requestEnd] [datetime] NULL,
[rendered] [datetime] NULL,
[postBegin] [datetime] NULL,
[postEnd] [datetime] NULL
)以下是一些记录的样子：
INSERT INTO track_pageSubmit (popid,section,page,requestbegin,requestend,rendered,postbegin,postend)
SELECT '2393712','Main_Can_Eng','10','2010-01-22 10:22:08.287','2010-01-22 10:22:08.330',NULL,'2010-01-22 10:22:09.503','2010-01-22 10:22:09.627' UNION
SELECT '2393712','Main_Can_Eng','11','2010-01-22 10:22:09.660','2010-01-22 10:22:09.770',NULL,'2010-01-22 10:22:10.973','2010-01-22 10:22:11.050' UNION
SELECT '2393712','Main_Can_Eng','12','2010-01-22 10:22:11.080','2010-01-22 10:22:11.143',NULL,'2010-01-22 10:22:12.503','2010-01-22 10:22:12.567' UNION
SELECT '2394478','main','21','2010-01-21 10:38:54.057','2010-01-21 10:38:54.117','2010-01-21 10:38:54.487','2010-01-21 10:38:55.633','2010-01-21 10:38:55.697' UNION
SELECT '2394478','main','22','2010-01-21 10:38:55.757','2010-01-21 10:38:55.820','2010-01-21 10:38:56.197','2010-01-21 10:38:57.477','2010-01-21 10:38:57.570' UNION
SELECT '2394478','main','23','2010-01-21 10:38:57.617','2010-01-21 10:38:57.993','2010-01-21 10:38:58.367','2010-01-21 10:38:59.397','2010-01-21 10:38:59.493' UNION
SELECT '2394478','main','25','2010-01-21 10:38:59.553','2010-01-21 10:38:59.617','2010-01-21 10:38:59.993','2010-01-21 10:39:01.227','2010-01-21 10:39:01.303' UNION
SELECT '2394478','main','26','2010-01-21 10:39:01.350','2010-01-21 10:39:01.477','2010-01-21 10:39:01.860','2010-01-21 10:39:02.787','2010-01-21 10:39:02.867' UNION
SELECT '2394478','main','27','2010-01-21 10:39:02.930','2010-01-21 10:39:03.007','2010-01-21 10:39:03.400','2010-01-21 10:39:04.147','2010-01-21 10:39:04.460' UNION
SELECT '2394478','main','28','2010-01-21 10:39:04.507','2010-01-21 10:39:05.147','2010-01-21 10:39:05.790','2010-01-21 10:39:19.413','2010-01-21 10:39:19.477' UNION
SELECT '2393754','exp46_cex','1','2010-01-22 12:40:56.563','2010-01-22 12:40:56.640',NULL,'2010-01-22 12:40:58.657','2010-01-22 12:40:58.733' UNION
SELECT '2393754','exp46_cex','2','2010-01-22 12:40:58.750','2010-01-22 12:40:58.780',NULL,'2010-01-22 12:41:15.623','2010-01-22 12:41:15.657' UNION
SELECT '2393754','additionalComments','1','2010-01-22 12:41:15.670','2010-01-22 12:41:15.733',NULL,'2010-01-22 12:41:19.000','2010-01-22 12:41:19.030' UNION
SELECT '2393802','main','2','2010-01-22 12:44:50.857','2010-01-22 12:44:50.933',NULL,'2010-01-22 12:44:53.497','2010-01-22 12:44:53.557' UNION
SELECT '2393802','main','3','2010-01-22 12:44:53.590','2010-01-22 12:44:53.667',NULL,'2010-01-22 12:44:56.370','2010-01-22 12:44:56.730'
奖励积分（以我的额外感谢的形式）给任何可以更改查询的人，以便我还可以每个时间间隔报告不同的popid（除了总请求）。
谢谢！
答案 0 :(得分：4)
- 因为您的样本数据跨越27小时：
DECLARE
@hours TINYINT,
@minute_interval TINYINT,
@start SMALLDATETIME;
SELECT
@hours = 27,
@minute_interval = 10,
@start = '20100122 13:00';
;WITH x AS
(
SELECT TOP (@hours * (60 / @minute_interval))
n = ROW_NUMBER() OVER
(ORDER BY column_id)
FROM msdb.sys.columns
),
intervals(boundary) AS
(
SELECT CONVERT
(
SMALLDATETIME,
DATEADD(MINUTE, (-n * @minute_interval), @start)
)
FROM x
)
SELECT
i.boundary,
RequestCount = COUNT(d.id),
DistinctPopIDs = COUNT(DISTINCT d.popid)
FROM
intervals AS i
LEFT OUTER JOIN
dbo.Track_PageSubmit AS d
ON d.requestBegin >= i.boundary
AND d.requestBegin < DATEADD(MINUTE, @minute_interval, i.boundary)
GROUP BY i.boundary
ORDER BY i.boundary;
答案 1 :(得分：2)
这样做的简单方法是使用CTE并使用开始时间间隔创建一个辅助表，然后使用两者之间加入主查询中的该表。
这有意义吗？我将稍微研究一些示例代码。
DECLARE @time int
DECLARE @interval int
SELECT @time=96
SELECT @interval=10
DECLARE @count int
SELECT @count=1
;WITH daterange AS
(
SELECT 1 as [id], Max(requestbegin) as maxr, Min(requestBegin) as minr
FROM track_pagesubmit
), intervals as
(
SELECT @count AS interval, minr as intervalpos
FROM daterange
WHERE [id] = 1
UNION ALL
SELECT interval+1 AS interval,
DATEADD(MINUTE,@interval,intervalpos) as intervalpos
FROM intervals
JOIN daterange on [ID] = 1
WHERE DATEADD(MINUTE,@interval,intervalpos) < maxr
)
SELECT interval, intervalpos,
COUNT(DISTINCT track_pagesubmit.popid) as popcount,
COUNT(track_pagesubmit.id AS requestcount
FROM intervals
LEFT JOIN track_pagesubmit ON requestbegin IS NOT NULL
AND requestBegin BETWEEN intervalpos AND DATEADD(ns,-1,DATEADD(MINUTE,@interval,intervalpos))
GROUP BY interval, intervalpos
OPTION (MAXRECURSION 200)
答案 2 :(得分：0)
递归CTE似乎总是优于数字表，但传统上使用both methods。
答案 3 :(得分：0)
这有点粗糙，但应该适合你：
WITH Nbrs_2( n ) AS ( SELECT 1 UNION SELECT 0 ),
Nbrs_1( n ) AS ( SELECT 1 FROM Nbrs_2 n1 CROSS JOIN Nbrs_2 n2 ),
Nbrs_0( n ) AS ( SELECT 1 FROM Nbrs_1 n1 CROSS JOIN Nbrs_1 n2 ),
Nbrs ( n ) AS ( SELECT 1 FROM Nbrs_0 n1 CROSS JOIN Nbrs_0 n2 )
select n.n as TenMinuteInterval, count(case when t.requestBegin is null then null else 1 end) as Count
from (
SELECT n - 1 as n
FROM (SELECT ROW_NUMBER() OVER (ORDER BY n)
FROM Nbrs) D ( n )
WHERE n <= 144
) n
left outer join track_pageSubmit t on n.n = floor((cast(requestBegin - convert(int, requestBegin) as decimal(10,3)) % 1) * 144)
and requestBegin between '2010-01-21' and '2010-01-22'
group by n.n
输出：
TenMinuteInterval Count
-----------------------
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 7
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 0
84 0
85 0
86 0
87 0
88 0
89 0
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0