SQL server查询笔记

select datepart(year,createtime) as [year],count(o.Teacherid) as teachernum from rrs_client c left join rrs_order__ o on c.clientid = o.clientid where between YEAR(createtime)='2017' and YEAR(createtime)='2013' and c.deleted=0 and o.deleted=0 and o.clientid ='24965' group by datepart(year,createtime)

//根据年份分组 查询

datepart(year,createtime)

group by datepart(year,createtime)

//year 年 week周 month 月 quarter 季度

ORDER BY CONVERT(INT,DATENAME(week,AddDate));

CONVERT() 函数是把日期转换为新数据类型的通用函数。

CONVERT() 函数可以用不同的格式显示日期/时间数据。

GETDATE() 函数来获得当前的日期/时间：

//求分组后数量的最大值

sum(sum) as [aa]

order by aa desc

//求求和数量的指定范围

sum(money)

having sum(money)>0

//就算两个日期的查（天，小时，，分 秒）

datediff(DAY,'','') as diff

第一个时间跟第二个时间相差多少

//month 月 day 天 hour 小时 minute 分钟  second 秒

isnull(o.endtime, c.createddate)

判断前一个值是不是为空 是的话就用后面一个值填上空缺

GETDATE()当前时间

CONVERT(VARCHAR(20),DATEADD(SECOND,deleted,'1970-01-01 00:00:00'),120)

时间戳转日期

//常用连表统计

select 表一.部门名称 as 部门,count(表二.id)as 人数

from 表一

left join 表二 on 表一id=表二.部门id

group by 表一.部门名称

--一天内：

select * from tbl where convert(varchar(10),posttime,120) = '2010-04-03'

--一周内：

select * from tbl where datedepart(dw,posttime) = datedepart(dw,'2010-04-03')

--一月内

select * from tbl where convert(varchar(7),posttime,120) = '2010-04'

根据金额范围分组

SELECT

o.clientid,

o.Inchargeuserid AS userid,

SUM (totalmoney) AS money,

o.totalday,

o.createtime,

datepart(YEAR, o.createtime) AS [year],

datepart(MONTH, o.createtime) AS [month],

datepart(DAY, o.createtime) AS [day],

CASE

WHEN SUM (totalmoney) >= 500000 THEN

'50万以上'

WHEN SUM (totalmoney) >= 200000

AND SUM (totalmoney) < 500000 THEN

'20-50万'

WHEN SUM (totalmoney) >= 100000

AND SUM (totalmoney) < 200000 THEN

'10-20万'

WHEN SUM (totalmoney) >= 50000

AND SUM (totalmoney) < 100000 THEN

'5-10万'

WHEN SUM (totalmoney) >= 20000

AND SUM (totalmoney) < 50000 THEN

'2-5万'

ELSE

'2万以下'

END AS leval

FROM

rrs_order o

WHERE

o.otype = 'D'

AND o.deleted = 0

AND o.status = 1

GROUP BY

o.itemname,

o.clientid,

o.Inchargeuserid,

o.totalday,

o.createtime

结果：

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