sql server 按日期時間年,月,日,時分組查詢
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 按日期時間年,月,日,時分組查詢,并統計數量
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日期時間函數,最全
SQL Server 查詢基礎及分組(每三個小時一組)
原文位址
一、連結查詢
内連接配接(inner join)。左連接配接(left join),以左邊為基準,全部查詢右邊沒有比對的值顯示為空。右連結(right join),和左連接配接相反,以右邊為基準左邊表的字段為空。全連結(full outer join)左右全部連接配接沒有對應值得字段為空。交叉連結(coress join)笛卡爾積
-- inner join 顯示
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子查詢(嵌套查詢)
--查詢錢包裡金額大于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、分組
1. 根據日期分組
根據convert 的第一個參數,設定結果的長度達到更具年月分組或年月日分組等
2017-09 長度 7 varchar(7)
2017-09-01 長度10 varchar(10)
-- 使用convert() 函數方式
select convert(varchar(7),CreatTime,120)日期,COUNT(*) 次數,sum(Money)總數 from Orders
group by convert(varchar(7),CreatTime,120)
-- 先查出對應的年月日等時間,再根據查詢出的字段分組
select YEAR(CreatTime) 年,month(CreatTime) 月,COUNT(*) 次數,sum(Money)總數 from Orders
group by month(CreatTime),YEAR(CreatTime)
order by 年,月 asc
2. 根據劃分時間段進行分組(每三個小時一組)
dataname:傳回代表指定日期的指定日期部分的字元串。一個參數代表傳回的格式,第二個參數為具體值dw:星期幾,qq, q:季度,yy, yyyy:年,mm,m:月,dd、d:日,hh:小時,mi, n:分鐘 ss、s:秒,ms:毫秒
select t.number 記錄數,
CONVERT(varchar(2),t.timeGroup * 3)+':00~'+ CONVERT(varchar(2),t.timeGroup * 3 + 2)+':59' 時間段
from
(select datename(hh,CreateTime) /3 timeGroup,COUNT(1) number from ClassOptions
group by datename(hh,CreateTime) / 3) t
SQL Server中時間按天分組
原文位址
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='已确認'
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='已确認'
group by datediff(day,PayTime,getdate())
order by Min(PayTime) asc
sqlserver中如何實作時間按月,日,小時分組查詢
原文位址
--按照月份統計
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)
--按照日統計
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)
--按照小時統計
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) '銷售合計'
from order_list
group by year(ordertime)
2、每月
select year(ordertime) '年',
month(ordertime) '月',
sum(Total) '銷售合計'
from order_list
group by year(ordertime),
month(ordertime)
3、每日
select year(ordertime) '年',
month(ordertime) '月',
day(ordertime) '日',
sum(Total) '銷售合計'
from order_list
group by year(ordertime),
month(ordertime),
day(ordertime)
另外每日也可以這樣:
select convert(char(8),ordertime,112) dt,
sum(Total) '銷售合計'
from order_list
group by convert(char(8),ordertime,112)
另外,每月(年、日)的記錄條數
select year(ordertime) '年',
month(ordertime) '月',
count(*) '銷售記錄'
from order_list
group by year(ordertime),
month(ordertime)