SQL GROUP BY和滞后功能没有给予正确的输出

Question

我有以下的输出：

last_login     | id | type | w_id 
    11/9/2016 10:59:13 PM | 123 | Thing1 | W1 
    11/9/2016 10:59:15 PM | 123 | Thing1 | W1 
    11/9/2016 10:59:15 PM | 123 | Thing1 | W3 
    11/10/2016 10:59:13 PM | 123 | Thing2 | W2 
    11/11/2016 10:59:13 PM | 123 | Thing1 | W1 
    11/12/2016 10:59:13 PM | 123 | Thing1 | W1 
    11/12/2016 10:59:13 PM | 345 | Thing1 | W4 
    11/13/2016 10:59:13 PM | 345 | Thing1 | W1 
    11/14/2016 10:59:13 PM | 345 | Thing2 | W2 
    11/15/2016 10:59:13 PM | 345 | Thing2 | W5 
    11/16/2016 10:59:13 PM | 345 | Thing1 | W1 
    11/16/2016 10:59:13 PM | 345 | Thing1 | W1 
    11/17/2016 10:59:13 PM | 345 | Thing1 | W4 
    11/17/2016 10:59:13 PM | 345 | Thing1 | W4 

为以下查询：

select sa.last_login, ad.ID, sa.type, w_id, 
from table1 dcc 
join table2 AD 
on AD.ID=DCC.id 

JOIN table3 sa 
ON AD.ID=sa.id 
join table4 sc 
on dcc.id=sc.id 
where sic3=‘Something’ 
order by dcc.id, sa.last_login 

我想大概是这样的输出：

last_login    | id | old_type | type | old_w_id | w_id 
11/11/2016 10:59:13 PM | 123 | Thing2 | Thing1 | W2  | W1 
11/17/2016 10:59:13 PM | 345 | Thing1 | Thing1 | W1  | W4 

我正在尝试以下列方式执行此操作：

select 

t.last_login, t.id, t.old_type, t.type , t.old_w_id, t.w_id 

from 

(select sa.last_login, ad.id, sa.type, 
lag(sa.type, 1) over (partition by ad.id order by sa.last_login) as old_type, w_id, 
lag(w_id, 1) over (partition by ad.ID order by sa.last_login) as old_w_id from table1 dcc 

join table2 AD 
on ad.id=DCC.id 

JOIN table3 sa 
ON AD.ID=sa.id 

join table4 sc 
on dcc.id=sc.id 

where sc.si=’Something’ 
order by dcc.id, sa.last_login) t 

where t.old_type like ’THING1’ and t.type like ‘THING2’ 

group by t.id, t.id, t.old_type, t.type, t.w_id, t.old_w_id 

但我发现了的像这样的输出：

last_login    | id | old_type | type | old_w_id | w_id 
11/11/2016 10:59:13 PM | 123 | Thing1 | Thing2 | W1  | W2 

如何获得所需的输出，为什么我的查询（滞后功能）不能正常工作？

Answer 1

你不需要这个子查询。只需使用lag()：

select sa.last_login, ad.ID, sa.type, w_id, 
     lag(sa.type) over (partition by ad.id order by sa.last_login) as prev_type, 
     lag(sa.w_id) over (partition by ad.id order by sa.last_login) as prev_w_id 
from table1 dcc join 
    table2 AD 
    on AD.ID = DCC.id join 
    table3 sa 
    on AD.ID = sa.id join 
    table4 sc 
    on dcc.id = sc.id 
where sic3 = 'Something' 
order by dcc.id, sa.last_login 

如果你只是想最后一排，你可以使用fetch first 1 row only或sometihng，如：

select * 
from (select sa.last_login, ad.ID, sa.type, w_id, 
      lag(sa.type) over (partition by ad.id order by sa.last_login) as prev_type, 
      lag(sa.w_id) over (partition by ad.id order by sa.last_login) as prev_w_id, 
      row_number() over (partition by ad.id order by sa.last_login desc) as seqnum 
     from table1 dcc join 
      table2 AD 
      on AD.ID = DCC.id join 
      table3 sa 
      on AD.ID = sa.id join 
      table4 sc 
      on dcc.id = sc.id 
     where sic3 = 'Something' 
    ) t 
where seqnum = 1 
order by id, last_login; 

Answer 2

您要查询（TYPE和W_ID）领域做一个滞后之后，你可以用另外一个select语句来包装它，用where子句去掉最后一个等于当前行的行。例如：

编辑我的第一个答案包括它只是改变了所有行，我所做的就是采取的代码，将其套抢在ID划分的最高变化。

create table Testing 
(
    last_login date, 
    id number, 
    type varchar2(50), 
    w_id varchar2(2) 
); 

insert into Testing values(to_date('11/09/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),123,'Thing1','W1'); 
insert into Testing values(to_date('11/09/2016 10:59:15 PM','MM/DD/YYYY HH:MI:SS PM'),123,'Thing1','W1'); 
insert into Testing values(to_date('11/09/2016 10:59:15 PM','MM/DD/YYYY HH:MI:SS PM'),123,'Thing1','W3'); 
insert into Testing values(to_date('11/10/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),123,'Thing2','W2'); 
insert into Testing values(to_date('11/11/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),123,'Thing1','W1'); 
insert into Testing values(to_date('11/12/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),123,'Thing1','W1'); 
insert into Testing values(to_date('11/12/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing1','W4'); 
insert into Testing values(to_date('11/13/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing1','W1'); 
insert into Testing values(to_date('11/14/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing2','W2'); 
insert into Testing values(to_date('11/15/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing2','W5'); 
insert into Testing values(to_date('11/16/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing1','W1'); 
insert into Testing values(to_date('11/16/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing1','W1'); 
insert into Testing values(to_date('11/17/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing1','W4'); 
insert into Testing values(to_date('11/17/2016 10:59:13 PM','MM/DD/YYYY HH:MI:SS PM'),345,'Thing1','W4'); 

select LAST_LOGIN, ID, TYPE, W_ID, TypeLag, W_IDLag 
from(
select LAST_LOGIN, ID, TYPE, W_ID, TypeLag, W_IDLag, 
     rank() over(partition by id order by last_login desc) RankOrder 
from(
select Testing.*, 
     lag(TYPE,1) over(partition by ID order by last_login) TypeLag, 
     lag(W_ID,1) over(partition by ID order by last_login) W_IDLag 
from Testing) 
where (nvl(TypeLag,'X') <> TYPE 
    or nvl(W_IDLag,'X') <> W_ID) 
) 
where RankOrder = 1 

输出是：

LAST_LOGIN ID  TYPE W_ID TYPELAG  W_IDLAG 
11-NOV-16 123  Thing1 W1  Thing2  W2 
17-NOV-16 345  Thing1 W4  Thing1  W1