sql server 按日期时间分组查询，sql server 按日期，时间，年，月，日，时，分，秒分组查询

 sql server 按日期时间年，月，日，时分组查询

select datepart(YEAR,CreateDateTime) yyyy,datepart(month,CreateDateTime) mm,datepart(day,CreateDateTime) dd ,datepart(hour,CreateDateTime) hh
from Symptom
GROUP BY datepart(YEAR,CreateDateTime),datepart(month,CreateDateTime),datepart(day,CreateDateTime),datepart(hour,CreateDateTime)

 sql server 按日期时间年，月，日，时分组查询，并统计数量

select datepart(YEAR,CreateDateTime) yyyy,datepart(month,CreateDateTime) mm,datepart(day,CreateDateTime) dd ,datepart(hour,CreateDateTime) hh,COUNT(SymptomId) count
from Symptom
GROUP BY datepart(YEAR,CreateDateTime),datepart(month,CreateDateTime),datepart(day,CreateDateTime),datepart(hour,CreateDateTime)

SqlServer日期时间函数，最全

https://blog.csdn.net/cplvfx/article/details/108539989 

 

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SQL Server 查询基础及分组（每三个小时一组）

原文地址：https://www.cnblogs.com/haosit/p/10766954.html

一、链接查询

　　内连接(inner join)。左连接(left join)，以左边为基准,全部查询右边没有匹配的值显示为空。右链接(right join)，和左连接相反,以右边为基准左边表的字段为空。全链接(full outer join)左右全部连接没有对应值得字段为空。交叉链接(coress join)笛卡尔积

-- inner join 显示
select * from Users 
inner join Wallets on Users.ID = Wallets.User_ID 
where  Money > 30000
-- inner join 隐式
select * from Wallets,Users 
where Wallets.User_ID = Users.ID and Money > 10000
-- left join
select * from Users 
left join Wallets  on Users.ID = Wallets.User_ID
-- right join
select * from Wallets 
right join Users on Users.ID = Wallets.User_ID 
-- full outer join
select * from Users
full outer join Wallets on Users.ID = Wallets.User_ID 
where User_ID is null or Users.ID is null
-- cross join
select * from Users 
cross join Wallets where Users.ID = 3

二、from子查询(嵌套查询)

--查询钱包里金额大于30000
select * from Users where exists (select User_ID from Wallets where Money > 30000 and User_ID = Users.ID)
select * from Users where ID in (select User_ID from Wallets where Money > 30000)

三、分组

1. 根据日期分组

　　根据convert 的第一个参数，设置结果的长度达到更具年月分组或年月日分组等

　　2017-09 长度 7 varchar(7)

　　2017-09-01 长度10 varchar(10)

-- 使用convert() 函数方式
select convert(varchar(7),CreatTime,120)日期,COUNT(*) 次数,sum(Money)总数 from Orders
group by convert(varchar(7),CreatTime,120)
-- 先查出对应的年月日等时间，再根据查询出的字段分组
select YEAR(CreatTime) 年,month(CreatTime) 月,COUNT(*) 次数,sum(Money)总数 from Orders
group by month(CreatTime),YEAR(CreatTime)
order by 年,月 asc

2. 根据划分时间段进行分组(每三个小时一组)

　　dataname:返回代表指定日期的指定日期部分的字符串。一个参数代表返回的格式，第二个参数为具体值dw:星期几，qq, q:季度，yy, yyyy:年，mm,m:月，dd、d:日，hh:小时，mi, n:分钟 ss、s:秒，ms:毫秒

select t.number 记录数,
CONVERT(varchar(2),t.timeGroup * 3)+':00~'+ CONVERT(varchar(2),t.timeGroup * 3 + 2)+':59' 时间段
from 
(select datename(hh,CreateTime) /3 timeGroup,COUNT(1) number from ClassOptions 
group by datename(hh,CreateTime) / 3) t

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SQL Server中时间按天分组

原文地址：https://www.cnblogs.com/yechangzhong-826217795/p/13408549.html

例1：

select Min(VisitTime),count(*) as Num from online group by datediff(day,VisitTime,getdate())

例2：

select count(*),Min(PayTime) from LimitBidBills where PayTime>'2020-07-25' and Status='已确认'
group by datediff(day,PayTime,getdate())
order by Min(PayTime) asc

例3：

select count(*),Min(PayTime) from LimitBidBills join LimitBidMail on LimitBidBills.InfoID = LimitBidMail.InfoID where PayTime>'2020-06-20' and   PayTime<'2020-07-5' and Status='已确认'
group by datediff(day,PayTime,getdate())
order by Min(PayTime) asc

 

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sqlserver中如何实现时间按月,日,小时分组查询

原文地址：https://www.cnblogs.com/ding5688/p/11235587.html

--按照月份统计
select count(id) cnt,datepart(mm,time) [Month]
from [table]
where [time] between '2007/09/08 09:10:43' and '2007/10/09 04:32:37'
group by datepart(mm,time)


--按照日统计
select count(id) cnt,datepart(dd,time) [Day]
from [table]
where time between '2007/09/08 09:10:43' and '2007/10/09 04:32:37'
group by datepart(dd,time)


--按照小时统计
select count(id) cnt,datepart(hh,time) [Hour]
from [table]
where [time] between '2007/09/08 09:10:43' and '2007/10/09 04:32:37'

group by datepart(hh,time)

1、每年
select year(ordertime) AS '年',
sum(Total) '销售合计'
from order_list
group by year(ordertime)

2、每月
select year(ordertime) '年',
month(ordertime) '月',
sum(Total) '销售合计'
from order_list
group by year(ordertime),
month(ordertime)

3、每日
select year(ordertime) '年',
month(ordertime) '月',
day(ordertime) '日',
sum(Total) '销售合计'
from order_list
group by year(ordertime),
month(ordertime),
day(ordertime)

另外每日也可以这样:
select convert(char(8),ordertime,112) dt,
sum(Total) '销售合计'
from order_list
group by convert(char(8),ordertime,112)

另外，每月(年、日)的记录条数
select year(ordertime) '年',
month(ordertime) '月',
count(*) '销售记录'
from order_list
group by year(ordertime),

month(ordertime)

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