Return 条最近 24 小时的记录
Return records with counts for the last 24 hours
我正在尝试获取过去 24 小时的记录,按小时分组并在 SQL 服务器中进行计数?
我有这样的示例数据:
ID Dat
1 2015-01-19 10:29:00.000
2 2015-01-19 11:29:00.000
3 2015-01-19 11:29:00.000
4 2015-01-19 11:29:00.000
5 2015-01-19 12:29:00.000
6 2015-01-19 12:29:00.000
7 2015-01-19 12:29:00.000
8 2015-01-19 12:29:00.000
9 2015-01-17 13:29:00.000
10 2015-01-17 13:29:00.000
11 2015-01-17 13:29:00.000
12 2015-01-17 13:29:00.000
13 2015-01-17 13:29:00.000
14 2015-01-17 13:29:00.000
15 2015-01-17 14:29:00.000
17 2015-01-17 15:29:00.000
18 2015-01-17 15:29:00.000
19 2015-01-17 16:29:00.000
20 2015-01-17 16:29:00.000
21 2015-01-15 16:29:00.000
22 2015-01-15 17:29:00.000
23 2015-01-15 18:29:00.000
24 2015-01-15 18:29:00.000
25 2015-01-15 18:29:00.000
26 2015-01-15 18:29:00.000
27 2015-01-15 18:29:00.000
28 2015-01-15 18:29:00.000
29 2015-01-15 19:29:00.000
30 2015-01-10 20:29:00.000
现在假设当前日期时间是 2015-01-19 12:30:00.000
,我想要的输出是:
Date Count
2015-01-19 12:00:00.000 4
2015-01-19 11:00:00.000 3
2015-01-19 10:00:00.000 1
2015-01-19 09:00:00.000 0
2015-01-19 08:00:00.000 0
2015-01-19 07:00:00.000 0
2015-01-19 06:00:00.000 0
2015-01-19 05:00:00.000 4
and so on...
所以计数是基于每小时的记录数。
可能对你有帮助
declare @t table(t datetime)
insert into @t values(getdate()),(getdate())
SELECT cast(cast(getdate() as date) as datetime)+cast(datepart(hour,getdate()) as float)/24, count(*)
from @t
group by cast(cast(getdate() as date) as datetime)+cast(datepart(hour,getdate()) as float)/24
create table #temptable
(
ID int ,
Date datetime
)
go
insert into #temptable (id, Date)
select 1 , '2014-01-19 10:29:00.000' union all
select 2 , '2014-01-19 11:29:00.000' union all
select 3 , '2014-01-19 11:29:00.000' union all
select 4 , '2014-01-19 11:29:00.000' union all
select 5 , '2014-01-19 09:29:00.000' union all
select 6 , '2014-01-19 08:29:00.000' union all
select 7 , '2014-01-19 03:29:00.000'
SELECT CAST(Date as date) AS ForDate,
DATEPART(hour,Date) AS OnHour,
COUNT(*) AS Totals
FROM #temptable
GROUP BY CAST(Date as date),
DATEPART(hour,Date)
SQL Server Group by Count of DateTime Per Hour?
您可以 round your values to the nearest hour 然后简单地 GROUP 和 COUNT:
SQL Fiddle Demo
MS SQL 服务器架构设置:
CREATE TABLE DateTable
([ID] int, [Date] datetime)
;
INSERT INTO DateTable
([ID], [Date])
VALUES
(1, '2015-01-19 10:29:00'),
(2, '2015-01-19 11:29:00'),
(3, '2015-01-19 11:29:00'),
(4, '2015-01-19 11:29:00'),
(5, '2015-01-19 12:29:00'),
(6, '2015-01-19 12:29:00'),
(7, '2015-01-19 12:29:00'),
(8, '2015-01-19 12:29:00'),
(9, '2015-01-17 13:29:00'),
(10, '2015-01-17 13:29:00'),
(11, '2015-01-17 13:29:00'),
(12, '2015-01-17 13:29:00'),
(13, '2015-01-17 13:29:00'),
(14, '2015-01-17 13:29:00'),
(15, '2015-01-17 14:29:00'),
(17, '2015-01-17 15:29:00'),
(18, '2015-01-17 15:29:00'),
(19, '2015-01-17 16:29:00'),
(20, '2015-01-17 16:29:00'),
(21, '2015-01-15 16:29:00'),
(22, '2015-01-15 17:29:00'),
(23, '2015-01-15 18:29:00'),
(24, '2015-01-15 18:29:00'),
(25, '2015-01-15 18:29:00'),
(26, '2015-01-15 18:29:00'),
(27, '2015-01-15 18:29:00'),
(28, '2015-01-15 18:29:00'),
(29, '2015-01-15 19:29:00'),
(30, '2015-01-10 20:29:00')
;
查询到 return 汇总数据:
SELECT DATEADD(HOUR, DATEDIFF(HOUR, 0, [DATE]), 0) As [DateValue],
COUNT(1) AS [COUNT]
FROM DateTable
WHERE [DATE] >= DATEADD(day, -1, GETDATE())
GROUP BY DATEADD(HOUR, DATEDIFF(HOUR, 0, [DATE]), 0)
ORDER BY 1
| DATEVALUE | COUNT |
|--------------------------------|-------|
| January, 19 2015 10:00:00+0000 | 1 |
| January, 19 2015 11:00:00+0000 | 3 |
| January, 19 2015 12:00:00+0000 | 4 |
这是使用 GETDATE()
到 return 当前日期时间值并从该点开始的最后 24 小时。上面的查询使用 return 从下面为 WHERE
子句编辑的值:
SELECT DATEADD(day, -1, GETDATE())
如果需要,您可以用变量替换 WHERE
子句中的过滤器值。
试试这个
对于SQL服务器
select CAST( MyDateColumn as DATE) ,DATEPART(HOUR, MyDateColumn),COUNT(*)
from MyTable
GROUP BY CAST( MyDateColumn as DATE) ,DATEPART(HOUR, MyDateColumn)
试试这个,它也会计算没有数据的小时数:
DECLARE @t table(ID int, Date datetime)
INSERT @t values
(1,'2015-01-19 10:29:00.000'), (2,'2015-01-19 11:29:00.000'),
(3,'2015-01-19 11:29:00.000'), (4,'2015-01-19 11:29:00.000'),
(5,'2015-01-19 12:29:00.000'), (6,'2015-01-19 12:29:00.000'),
(7,'2015-01-19 12:29:00.000'), (8,'2015-01-19 12:29:00.000'),
(9,'2015-01-17 13:29:00.000'), (10,'2015-01-17 13:29:00.000'),
(11,'2015-01-17 13:29:00.000'),(12,'2015-01-17 13:29:00.000'),
(13,'2015-01-17 13:29:00.000'),(14,'2015-01-17 13:29:00.000'),
(15,'2015-01-17 14:29:00.000'),(17,'2015-01-17 15:29:00.000'),
(18,'2015-01-17 15:29:00.000'),(19,'2015-01-17 16:29:00.000'),
(20,'2015-01-17 16:29:00.000'),(21,'2015-01-15 16:29:00.000'),
(22,'2015-01-15 17:29:00.000'),(23,'2015-01-15 18:29:00.000'),
(24,'2015-01-15 18:29:00.000'),(25,'2015-01-15 18:29:00.000'),
(26,'2015-01-15 18:29:00.000'),(27,'2015-01-15 18:29:00.000'),
(28,'2015-01-15 18:29:00.000'),(29,'2015-01-15 19:29:00.000'),
(30,'2015-01-10 20:29:00.000')
DECLARE @yourdate datetime = '2015-01-19T12:30:00.000'
;WITH CTE AS
(
SELECT dateadd(hh, datediff(hh, 0, @yourdate), 0) Date
UNION ALL
SELECT dateadd(hh, -1, Date)
FROM CTE
WHERE Date + 1 > @yourdate
)
SELECT CTE.Date, count(t.id) count
FROM CTE
LEFT JOIN @t t
ON CTE.Date <= t.Date
and dateadd(hh, 1, CTE.Date) > t.Date
GROUP BY CTE.Date
ORDER BY CTE.Date DESC
结果:
Date Count
2015-01-19 12:00:00.000 4
2015-01-19 11:00:00.000 3
2015-01-19 10:00:00.000 1
2015-01-19 09:00:00.000 0
2015-01-19 08:00:00.000 0
.....
我正在尝试获取过去 24 小时的记录,按小时分组并在 SQL 服务器中进行计数?
我有这样的示例数据:
ID Dat
1 2015-01-19 10:29:00.000
2 2015-01-19 11:29:00.000
3 2015-01-19 11:29:00.000
4 2015-01-19 11:29:00.000
5 2015-01-19 12:29:00.000
6 2015-01-19 12:29:00.000
7 2015-01-19 12:29:00.000
8 2015-01-19 12:29:00.000
9 2015-01-17 13:29:00.000
10 2015-01-17 13:29:00.000
11 2015-01-17 13:29:00.000
12 2015-01-17 13:29:00.000
13 2015-01-17 13:29:00.000
14 2015-01-17 13:29:00.000
15 2015-01-17 14:29:00.000
17 2015-01-17 15:29:00.000
18 2015-01-17 15:29:00.000
19 2015-01-17 16:29:00.000
20 2015-01-17 16:29:00.000
21 2015-01-15 16:29:00.000
22 2015-01-15 17:29:00.000
23 2015-01-15 18:29:00.000
24 2015-01-15 18:29:00.000
25 2015-01-15 18:29:00.000
26 2015-01-15 18:29:00.000
27 2015-01-15 18:29:00.000
28 2015-01-15 18:29:00.000
29 2015-01-15 19:29:00.000
30 2015-01-10 20:29:00.000
现在假设当前日期时间是 2015-01-19 12:30:00.000
,我想要的输出是:
Date Count
2015-01-19 12:00:00.000 4
2015-01-19 11:00:00.000 3
2015-01-19 10:00:00.000 1
2015-01-19 09:00:00.000 0
2015-01-19 08:00:00.000 0
2015-01-19 07:00:00.000 0
2015-01-19 06:00:00.000 0
2015-01-19 05:00:00.000 4
and so on...
所以计数是基于每小时的记录数。
可能对你有帮助
declare @t table(t datetime)
insert into @t values(getdate()),(getdate())
SELECT cast(cast(getdate() as date) as datetime)+cast(datepart(hour,getdate()) as float)/24, count(*)
from @t
group by cast(cast(getdate() as date) as datetime)+cast(datepart(hour,getdate()) as float)/24
create table #temptable
(
ID int ,
Date datetime
)
go
insert into #temptable (id, Date)
select 1 , '2014-01-19 10:29:00.000' union all
select 2 , '2014-01-19 11:29:00.000' union all
select 3 , '2014-01-19 11:29:00.000' union all
select 4 , '2014-01-19 11:29:00.000' union all
select 5 , '2014-01-19 09:29:00.000' union all
select 6 , '2014-01-19 08:29:00.000' union all
select 7 , '2014-01-19 03:29:00.000'
SELECT CAST(Date as date) AS ForDate,
DATEPART(hour,Date) AS OnHour,
COUNT(*) AS Totals
FROM #temptable
GROUP BY CAST(Date as date),
DATEPART(hour,Date)
SQL Server Group by Count of DateTime Per Hour?
您可以 round your values to the nearest hour 然后简单地 GROUP 和 COUNT:
SQL Fiddle Demo
MS SQL 服务器架构设置:
CREATE TABLE DateTable
([ID] int, [Date] datetime)
;
INSERT INTO DateTable
([ID], [Date])
VALUES
(1, '2015-01-19 10:29:00'),
(2, '2015-01-19 11:29:00'),
(3, '2015-01-19 11:29:00'),
(4, '2015-01-19 11:29:00'),
(5, '2015-01-19 12:29:00'),
(6, '2015-01-19 12:29:00'),
(7, '2015-01-19 12:29:00'),
(8, '2015-01-19 12:29:00'),
(9, '2015-01-17 13:29:00'),
(10, '2015-01-17 13:29:00'),
(11, '2015-01-17 13:29:00'),
(12, '2015-01-17 13:29:00'),
(13, '2015-01-17 13:29:00'),
(14, '2015-01-17 13:29:00'),
(15, '2015-01-17 14:29:00'),
(17, '2015-01-17 15:29:00'),
(18, '2015-01-17 15:29:00'),
(19, '2015-01-17 16:29:00'),
(20, '2015-01-17 16:29:00'),
(21, '2015-01-15 16:29:00'),
(22, '2015-01-15 17:29:00'),
(23, '2015-01-15 18:29:00'),
(24, '2015-01-15 18:29:00'),
(25, '2015-01-15 18:29:00'),
(26, '2015-01-15 18:29:00'),
(27, '2015-01-15 18:29:00'),
(28, '2015-01-15 18:29:00'),
(29, '2015-01-15 19:29:00'),
(30, '2015-01-10 20:29:00')
;
查询到 return 汇总数据:
SELECT DATEADD(HOUR, DATEDIFF(HOUR, 0, [DATE]), 0) As [DateValue],
COUNT(1) AS [COUNT]
FROM DateTable
WHERE [DATE] >= DATEADD(day, -1, GETDATE())
GROUP BY DATEADD(HOUR, DATEDIFF(HOUR, 0, [DATE]), 0)
ORDER BY 1
| DATEVALUE | COUNT |
|--------------------------------|-------|
| January, 19 2015 10:00:00+0000 | 1 |
| January, 19 2015 11:00:00+0000 | 3 |
| January, 19 2015 12:00:00+0000 | 4 |
这是使用 GETDATE()
到 return 当前日期时间值并从该点开始的最后 24 小时。上面的查询使用 return 从下面为 WHERE
子句编辑的值:
SELECT DATEADD(day, -1, GETDATE())
如果需要,您可以用变量替换 WHERE
子句中的过滤器值。
试试这个
对于SQL服务器
select CAST( MyDateColumn as DATE) ,DATEPART(HOUR, MyDateColumn),COUNT(*)
from MyTable
GROUP BY CAST( MyDateColumn as DATE) ,DATEPART(HOUR, MyDateColumn)
试试这个,它也会计算没有数据的小时数:
DECLARE @t table(ID int, Date datetime)
INSERT @t values
(1,'2015-01-19 10:29:00.000'), (2,'2015-01-19 11:29:00.000'),
(3,'2015-01-19 11:29:00.000'), (4,'2015-01-19 11:29:00.000'),
(5,'2015-01-19 12:29:00.000'), (6,'2015-01-19 12:29:00.000'),
(7,'2015-01-19 12:29:00.000'), (8,'2015-01-19 12:29:00.000'),
(9,'2015-01-17 13:29:00.000'), (10,'2015-01-17 13:29:00.000'),
(11,'2015-01-17 13:29:00.000'),(12,'2015-01-17 13:29:00.000'),
(13,'2015-01-17 13:29:00.000'),(14,'2015-01-17 13:29:00.000'),
(15,'2015-01-17 14:29:00.000'),(17,'2015-01-17 15:29:00.000'),
(18,'2015-01-17 15:29:00.000'),(19,'2015-01-17 16:29:00.000'),
(20,'2015-01-17 16:29:00.000'),(21,'2015-01-15 16:29:00.000'),
(22,'2015-01-15 17:29:00.000'),(23,'2015-01-15 18:29:00.000'),
(24,'2015-01-15 18:29:00.000'),(25,'2015-01-15 18:29:00.000'),
(26,'2015-01-15 18:29:00.000'),(27,'2015-01-15 18:29:00.000'),
(28,'2015-01-15 18:29:00.000'),(29,'2015-01-15 19:29:00.000'),
(30,'2015-01-10 20:29:00.000')
DECLARE @yourdate datetime = '2015-01-19T12:30:00.000'
;WITH CTE AS
(
SELECT dateadd(hh, datediff(hh, 0, @yourdate), 0) Date
UNION ALL
SELECT dateadd(hh, -1, Date)
FROM CTE
WHERE Date + 1 > @yourdate
)
SELECT CTE.Date, count(t.id) count
FROM CTE
LEFT JOIN @t t
ON CTE.Date <= t.Date
and dateadd(hh, 1, CTE.Date) > t.Date
GROUP BY CTE.Date
ORDER BY CTE.Date DESC
结果:
Date Count
2015-01-19 12:00:00.000 4
2015-01-19 11:00:00.000 3
2015-01-19 10:00:00.000 1
2015-01-19 09:00:00.000 0
2015-01-19 08:00:00.000 0
.....