I have this data
data KK;
input sub_id complain_id dept_id;
datalines;
101 1 11
102 2 12
104 4 13
105 5 15
107 7 14
108 8 16
109 9 17
;
run;
data PK;
input sub_id dept_id duration;
datalines;
104 13 10
101 11 20
102 12 30
107 14 40
105 19 50
0 14 100
0 13 60
0 15 70
0 11 80
0 12 90
;
run;
and now I want to join these two datasets with two diff conditions.
Condition 1:
If dataset 'PK' contains sub_id=0 then join should on dept_id
condition 2:
if dataset 'PK' sub_id != 0 then join should on sub_id
If any solution you have then please share the code for this query.
And what have you tried? We are not here to do it all for your. Some starting points:
Condition 1:
If dataset 'PK' contains sub_id=0 then join should on dept_id
from KK A left join (select * from PK where index(put(SUB_ID,best.),"0") > 0) B on A.DEPT_ID=B.DEPT_ID;
condition 2:
if dataset 'PK' sub_id != 0 then join should on sub_id
from KK A left join (select * from PK where SUB_ID ne 0) B on A.SUB_ID=B.SUB_ID;
Yes, I already tried this code separately(e.g. Split the data and join on different conditions) but now I want the respective 'Duration' in output in single code so I am trying to consolidate in the single code.
My final table output should be like this.
Complain_ID sub_ID dept_id Duration
1 101 11 20
. . . .
. 0 12 90
is it possible in single code?
I'd follow my maxim 29 (when in doubt, use brute force).
- split PK into two datasets, along sub_id = 0 or not; drop sub_id or dept_id, respectively
- sort those two dataset along their remaining id's
- sort kk along dept_id, and merge with the respective subset
- sort result along sub_id, and merge along sub_id with the other subset
- sort result along complain_id to get the original order
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