There are 2 datasets, names and partners. In partners , id is given but we need to find corresponding names using "names" dataset
data names;
input st_id st_names $;
datalines;
1 John
2 Mark
3 Steve
4 Smith
5 Cook
6 Messi
7 Mary
8 Kris
9 Kevin
;
run;
data partners;
input st_id1 st_id2 st_id3;
datalines;
1 4 7
2 5 8
;
run;
I need to add 3 columns in dataset partners name_id1,name_id2,name_id3 . To get names from dataset "names" as per id , i think we need to join dataset 3 times. What if datasets has million of records, is there any way we can simply the joins?
How does parteners dataset relate to the first dataset? I am confused as there are three name fields in it, but a name could only have one partner no? If we assume the the first column is the person matching st_id then:
data names; input st_id st_names $; datalines; 1 John 2 Mark 3 Steve 4 Smith 5 Cook 6 Messi 7 Mary 8 Kris 9 Kevin ; run; data partners; input st_id1 st_id2 st_id3; datalines; 1 4 7 2 5 8 ; run; proc sql; create table WANT as select A.*, (select ST_NAMES from NAMES where ST_ID=B.ST_ID2) as ST_NAME2, (select ST_NAMES from NAMES where ST_ID=B.ST_ID3) as ST_NAME3 from NAMES A left join PARTNERS B on A.ST_ID=B.ST_ID1; quit;
But that only gives the first two records two partners?
Transpose the partners dataset into long format first, then do the join. Don't keep data (number of partner) in structure (column name).
In actual scenario, names dataset has 80000 + records and partners has million of records , so cant do the transpose.
@Ps8813 wrote:
In actual scenario, names dataset has 80000 + records and partners has million of records , so cant do the transpose.
And?
A puny little million is no problem for SAS.
Create a format out of names dataset and then apply format.
Data fmt_def;
set table1;
fmtname='name_fmt';
start=st_id;
label=st_name;
run;
proc fmt cntlin=fmt_def;
run;
data want;
set table2;
array n_init (3) st_id1-st_id3;
array n_res(3) $ st_id_name1 - st_id_name3;
do i = 1 to 3;
n_res (I)= put(n_init(I), name_fmt.);
end;
run;
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