方式一: ALTER Proc [dbo].[usp_Rpt_AcctTypeAudit] @FromDate datetime=null, -- yyyy-mm-dd (may change in the future!) @ToDate datetime=null, -- yyyy-mm-dd (may change in the future!) ) = 'ALL' as BEGIN set nocount on if @ToDate is not null begin )+' 23:59
var now = DateTime.Now;var list =db.Jinbi_TypeLimit.Where(x => x.IsAvailable && x.JinbiType == jinbitype && x.StartDateTime <= now && now <= x.EndDateTime);//.ToList(); var list1 =db.Jinbi_TypeLimit.Where(x => x.IsAvail
最近搞Sqlite本地查询,需求为查询某时间段内的数据,在SQL中我们都知道为: select * from tblName where rDate Between '2008-6-10' and '2008-6-12' select * from tblName where rDate Between '2008-6-10' and '2008-6-12' 这样子是没有问题的,但是在Sqlite中我们这样子写是得不到结果的,试了好多次终于发现在规律,我们写成如下: select * from
SQL语句如何精准查找某一时间段的数据 在项目开发过程中,自己需要查询出一定时间段内的交易.故需要在sql查询语句中加入日期时间要素,sql语句如何实现? SELECT * FROM lmapp.lm_bill where tx_time Between '2015-12-20' And '2015-12-31'; 仔细研究还是能够发现一些细节性的问题的. SELECT * FROM lmapp.lm_bill where merch_uid='S18853883587' AND tx_time
思路:为时间段内的数据进行编序号,然后计算好相隔时间,拿到id作为搜索条件 SELECT * FROM ( SELECT (@i:=@i+1) as i, id, data_send_time FROM jl_pims_machine_time mt,(select @i:=0) as it where mt.company_id = 1001 AND mt.machine_id = 1 order by mt.id desc) tmpWHERE i IN (1,3,5)
积分兑换的优惠券在某时间段内使用情况 SELECT a.城市,a.用户ID,a.优惠券ID,a.优惠券名称,a.积分兑换优惠券的张数,b.使用优惠券数量,a.积分兑换优惠券的金额,b.使用优惠券金额 FROM ( # 兑换积分发放的优惠券 SELECT 城市,用户ID,优惠券ID,COUNT(1) AS 积分兑换优惠券的张数,SUM(金额) AS 积分兑换优惠券的金额,优惠券名称 ,CASE WHEN 优惠券ID BETWEEN 1318 AND 1341 THEN "双12兑换" E
mysql 查询某个日期时间段,每天同一时间段的数据: SELECT * FROM t_a01_eltable WHERE DATE_FORMAT(acqtime,'%Y-%m-%d')>='2016-01-01' AND DATE_FORMAT(acqtime,'%Y-%m-%d')<='2016-05-20' AND DATE_FORMAT(acqtime,'%H')>=18 AND DATE_FORMAT(acqtime,'%H')<=19;
declare @start date,@end date; set @start='2010-01-01'; set @end='2010-02-01'; --获取时间段内日期列表 select [day]=dateadd(day, number - 1, @start) from master.dbo.spt_values where type='P' and number <= datediff(day, @start,@end) + 1 and number>0
1.查询某时间段内日期列表 select level,to_char(to_date('2013-12-31','yyyy-mm-dd')+level-1,'yyyy-mm-dd') as date_time from dual connect by level <=to_date('2014-01-03','yyyy-mm-dd')-to_date('2013-12-31','yyyy-mm-dd')+1 2.查询前两个月日期列表 SELECT T.DATE_ID FROM ( ,)+ row