(SELECT SUM(field14) AS f1, YEAR(field16) AS f2, MONTH(field16) AS f3 FROM dbo.table2 AS table4_1 GROUP BY YEAR(field16), MONTH(field16)) AS bb ON aa.f1 = bb.f2 AND aa.f2 = bb.f3 LEFT OUTER JOIN (SELECT SUM(field4) AS f1, YEAR(field3) AS f2, MONTH(field3) AS f3...
1、每年selectyear(ordertime) 年,sum(Total) 销售合计from订单表groupbyyear(ordertime)2、每月selectyear(ordertime) 年,month(ordertime) 月,sum(Total) 销售合计from订单表groupbyyear(ordertime),month(ordertime3、每日selectyear(ordertime) 年,month(ordertime) 月,day(ordertime) 日,sum(Total) 销售合计...
group p by m into months orderby months.Key descending selectnewArchiveData { Year=months.Key.Year, Month=months.Key.Month, PostCount=months.Count() }; Entity Framework不支持带参构造函数。所以你不能使用用let m = new DateTime(p.CreatedDate.Year, p.CreatedDate.Month, 1) 所以只能自己新建一...
–DATEPART(month,CreateDate) => 12 –DATEPART(year,CreateDate) => 2013 代码语言:javascript 复制 --2020-09-2908:58:18selectconvert(varchar(100),getdate(),20)--20200929085818selectreplace(replace(replace(convert(varchar(100),getdate(),20),'-',''),' ',''),':','')--202009290858selectle...
GROUP BY YEAR(s.sail_time) , MONTH(s.sail_time) 1. 2. 3. 4. 5. 此处使用左连接的原因:是要补充销售表里单品的价格,要以左表为基准,要用了左连接 结果: 单步操作获得同比数据 同比:一般情况下是今年第n月与去年第n月比 计算方式:同比增长率=(本期数-同期数)÷同期数×100% ...
因为窗口函数是 对where或者group by子句 处理后的结果进行操作,所以窗口函数原则上只能写在select子句中。 1.知识点总结: sum(...A...) over(partition by ...B... order by ...C... rows between ...D1 and ...D2...) avg(...A ... ) over(partition by ...B... order by ...C....
GROUP BY YEAR(paidtime),MONTH(paidtime) 2、统计用户三月份的回购率和复购率 复购率:当月购买了多次的用户占当月用户的比例 a、先筛选出3月份的消费情况 SELECT * from orderinfo where ispaid='已支付' and month(paidtime)=3 b、统计一下每个用户在3月份消费了多少次 ...
group by year(crdate),month(crdate); 2、其他聚合类的窗口函数 平均:avg(...) over(partition by ... order by ... rows between ... and ...)(如股票中的7日移动平均) 计数:count(...) over(partition by ... order by ... rows between ... and ...) ...
在SQL中合并月份和年份列,可以使用CONCAT函数将两个列合并成一个新的列。 具体操作步骤如下: 1. 选择要合并的月份列和年份列,假设分别为month和year。 2. 使用CONCAT函数...
>='2015-3-1' and rq < '2015-4-1' then sl else 0 end) as '3月份' from a2;运行结果：以列方式统计，更为简单：把rq 转换为年+月 格式，再分组即可以。select year(rq) * 100 + month(rq) as rq, sum(sl) as 'sl' from a2group by year(rq) * 100 + month(rq);...