下面是我的代码,
select DISTINCT C.session_id,C.status,C.uut_serial_num,D.error_code from
(Select A.*
From uut_info A, session_info B
Where A.session_id=B.session_id
And A.uut_serial_num ="ACNW6676"
and A.status ="Fail"
And B.test_spec<>'DBG'
Order By A.timestamp Desc
LIMIT 0,4) C left join subtest_info D
on C.uut_serial_num = D.uut_serial_num
and C.session_id = D.session_id
order by C.timestamp Desc
结果:
session_id status uut_serial_num error_code
7385122219fa35c37942511 Fail ACNW6676 500004
7385122219fa35c37942511 Fail ACNW6676 40555
7385122219fa35c37942511 Fail ACNW6676 40187
7385122219fa35c37942511 Fail ACNW6676
412afc12a33601011721415 Fail ACNW6676
412afc12a33601011721415 Fail ACNW6676 100001
9213232191116c821a59f86 Fail ACNW6676
9213232191116c821a59f86 Fail ACNW6676 500005
11809c9a3382624993f5104 Fail ACNW6676 40187
11809c9a3382624993f5104 Fail ACNW6676
11809c9a3382624993f5104 Fail ACNW6676 40143
11809c9a3382624993f5104 Fail ACNW6676 500005
但是如何使/显示是否相同的session_id的error_code将混合在1行中,并如下所示将其删除为空,并将其插入tmp表中?
session_id status uut_serial_num error_code
7385122219fa35c37942511 Fail ACNW6676 500004,40555,40187
我尝试使用GROUP_CONCAT或If条件,但仍然无法获得我想要的结果:-
select DISTINCT C.session_id,C.status,C.uut_serial_num,GROUP_CONCAT(D.error_code) from
答案 0 :(得分:0)
摆脱不同之处并使用分组依据
test<-list(c("hello", "world", "!"), c("Nice","to","meet","you"))
print(clean.data(test))
> print(clean.data(test))
value
1 hello
2 world
3 !
4 Nice
5 to
6 meet
7 you