插入同一个表而不创建重复项或 NULLS？

Question

对于 SQL Server 2017，我创建了一个名为 challenger 的表

drop table if exists challenger
create table challenger (O_Ring_Failure char(1),
Launch_temperature float,
Leak_check_pressure char(10))
select * from challenger
insert into challenger values ('N',66,'Low')
insert into challenger values ('N',69,'Low')
insert into challenger values ('N',68,'Low')
insert into challenger values ('N',67,'Low')
insert into challenger values ('N',72,'Low')
insert into challenger values ('N',73,'Low')
insert into challenger values ('N',70,'Low')
insert into challenger values ('N',78,'High')
insert into challenger values ('N',67,'High')
insert into challenger values ('N',67,'High')
insert into challenger values ('N',75,'High')
insert into challenger values ('N',70,'High')
insert into challenger values ('N',81,'High')
insert into challenger values ('N',76,'High')
insert into challenger values ('N',79,'High')
insert into challenger values ('N',75,'High')
insert into challenger values ('N',76,'High')
insert into challenger values ('Y',70,'Low')
insert into challenger values ('Y',57,'High')
insert into challenger values ('Y',63,'High')
insert into challenger values ('Y',70,'High')
insert into challenger values ('Y',53,'High')
insert into challenger values ('Y',58,'High')

我想从 Launch_temperature 列中提取 O_Ring_Failure 以创建另外两个列 Y_temperature 和 N_temperature（即 O_Ring_Failure='Y' 和 'N' 的温度）

我写的内容如下：

alter table challenger add 
    Y_temperature float,
    N_temperature float;
go

with cte1
as
( select Launch_temperature  as y_temp from challenger where O_Ring_Failure='Y'),
cte2 as(select Launch_temperature  as n_temp from challenger where O_Ring_Failure='N')

insert into challenger 
    select y_temp， n_temp from cte1, cte2;
go
select * from challenger

但结果让我失望：

我想将此表和两列传递给我已创建的存储过程来计算 Z 分数，因此我不需要在开始时使用这些 NULLS 并为 Y_temperature 或 N_temperature 重复。有没有办法摆脱它们？

存储过程如下：

create procedure usp_bivariate
    @tbl varchar(200),
    @target_colname varchar(100),
    @predictor_colname varchar(100)
as
begin
    declare @sql varchar(max)
    set @sql='with cte1(mean1,mean2, var1, var2, count1, count2) as ( select avg('+@target_colname+') as mean1, var('+@target_colname
    +') as var1,count('+@target_colname+') as count1, avg('+@predictor_colname+') as mean2, var('+@predictor_colname
    +') as var2,count('+@predictor_colname+') as count2 from '+@tbl+') select (mean1-mean2)/sqrt(var1/count1+var2/count2) from cte1' 
    exec(@sql)
end

Answer 1

您想要计数每个温度吗？

select launch_temperature,
       sum(case when O_Ring_Failure = 'N' then 1 else 0 end) as num_notfailures,
       sum(case when O_Ring_Failure = 'Y' then 1 else 0 end) as num_failures
from challenger
group by launch_temperature;

我想不出任何其他有用的东西可以满足您的分析目标。