我有一个带有两种类型的ID列的SQL表。例如
ID_1 Name Date ID_2
487 Joe 09/06/2004 332
731 Mike 06/01/2004 116
487 Joe 09/06/2004 354
777 Rich 01/01/2002 455
745 Mike 06/01/2004 116
有时ID_1具有多行,且ID_2的值不同。反之亦然,有时ID_2包含多行,且ID_1的值不同。
我想保留ID_1和ID_2一一对应的所有行。理想情况下,我还将用剩余的行制作另一个表,以便以后可以轻松查看它们。因此,在上面的示例中,只有一行(第四行)在ID_1和ID_2之间具有一对一的匹配:
ID_1 Name Date ID_2
777 Rich 01/01/2002 455
所有其他行都有其中一个ID重复的行。因此,基本上是删除所有ID列都重复的行。
我尝试使用DISTINCT,但是保留了重复的行之一,而我希望将它们全部删除。
p.s。这不是关于联接表的问题-示例是单个表。
答案 0 :(得分:1)
create table #one_to_one
(id_1 int, name varchar(20), dt date, id_2 int)
insert into #one_to_one values( 487, 'Joe', '09/06/2004' , 332)
insert into #one_to_one values( 731, 'Mike', '06/01/2004' , 116)
insert into #one_to_one values(487, 'Joe', '09/06/2004' , 354)
insert into #one_to_one values( 777, 'Rich', '01/01/2002', 455)
insert into #one_to_one values( 745, 'Mike', '06/01/2004', 116)
select id_1, name, dt, id_2
from (select *, count(*) over(partition by id_1) as id_1_count,
count(*) over(partition by id_2) as id_2_count
from #one_to_one) res
where id_1_count = 1 and id_2_count = 1;
答案 1 :(得分:0)
您可以使用窗口COUNT
:
CREATE TABLE only_one_to_one
AS
SELECT ID_1, Name, Date, ID_2
FROM (SELECT *,COUNT(*) OVER(PARTITION BY ID_1) AS ID1_cnt,
COUNT(*) OVER(PARTITION BY ID_2) AS ID2_cnt
FROM tab) sub
WHERE ID1_cnt = 1 AND ID2_cnt = 1;
答案 2 :(得分:0)
仅一对一
SELECT *
FROM Table A
WHERE (SELECT Count(1)
FROM Table B
WHERE A.ID_1 = B.ID_1) = 1
AND (SELECT Count(1)
FROM Table B
WHERE A.ID_2 = B.ID_2) = 1
一个以上
SELECT *
FROM Table A
WHERE (SELECT Count(1)
FROM Table B
WHERE A.ID_1 = B.ID_1) > 1
OR (SELECT Count(1)
FROM Table B
WHERE A.ID_2 = B.ID_2) > 1
答案 3 :(得分:0)
此代码将帮助您
create table #temp (ID_1 int,name varchar(255),[Date] date,ID_2 int)
insert into #temp values (487 , 'Joe','09/06/2004', 332)
insert into #temp values (731 , 'Mike' , '06/01/2004' , 116 )
insert into #temp values (487 , ' Joe' , '09/06/2004' , 354 )
insert into #temp values (777 , 'Rich' , '01/01/2002' , 455 )
insert into #temp values (745 , 'Mike' , '06/01/2004' , 116 )
Select * from (
Select ROW_NUMBER() OVER(ORDER BY id_1 DESC) AS Row#,ID_1,Name,Date,ID_2
FROM #temp
) as T
Where Row# = 4
Drop table #temp