我有一个用例,其中我希望对多个列进行分组,并在分区上对特定列进行聚合,分区是group by子句中列的子集。示例场景(id int, category1 string, category2 string, category3 string, value int)selectsum(value) over (partition by category1) as c1_sum, sum(
我目前的代码中,我通过多个.withColumn链将相同的过程重复应用于多个DataFrame列,并且希望创建一个函数来简化该过程。在我的例子中,我查找的是按键聚合的列的累积和: .withColumn("cumA", sum("A").over(Window.partitionBy("ID").orderBy("time")))
.withColumn("cumB", s
表的update查询永久更新EmpContbtnWithoutTax列和EmpContbtnWithTax列的相应行。更新脚本,这是我在下面首先提到的第一列中尝试的set EmpContbtnWithoutTax = select case when sum(isnull(t1.emp_contribution,0)) over(partition by
t1.emp_no order by (t1.pcm_year * 100 + t1.pcm_month)) +
我希望SQL从两列中添加数字,并将这两个数字的平均值放在一个单独的列中。AverageCount列中。(InpCount) OVER (PARTITION BY ProcedureID) as INtotal, SUM(OutCount) OVER (PARTITION BY ProcedureID) a
我有一个有一些列的表(见下面的图):
我想使用一些过滤器(即1.20到1.50之间的over05 )来计数列中的值(我在列over05、over15等中有多少"ok“和"no现在,我可以使用下面的代码对列进行计数:
$result=mysql_query("SELECT count(over15) as total from risultati WHERE over15(CASE WH
获取此错误:
向“datetime”列添加值会导致溢出。(SUM(B.TransactionCount)) OVER (Partition by U.ContractID) > U.BasePool THEN 'IN-OVERAGE'--WHEN SUM(SUM(B.TransactionCount)) OVER (Partition by U.ContractID) + (SUM(SUM(B.TransactionCoun
我试图在Spotfire中创建一个运行平衡列,它看起来像下面所附的图片。本质上,我希望逐行计算“总量”列的累计总数,并希望随着日期的变化从0开始。我尝试过几个跨功能:Sum([AMOUNT]) OVER AllPrevious([Date]) Sum([AMOUNT]) OVER Intersect([CURRENCY],AllPrevious([SETTLEDATE])) Sum([AMOUNT]) OVER Intersect([Calculati