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sophia_SAS
Obsidian | Level 7

Hi SAS community,

I have two different datasets: 'base' and 'new'. Many of the observations within the two datasets are the same, but a few are not. I would like to identify which observations from 'new' are not in 'base' so that I can create a new dataset 'want' that includes all in 'base' and then the additions from 'new'.

Thanks!

1 ACCEPTED SOLUTION

Accepted Solutions
Hima
Obsidian | Level 7

Assuming that the column names are same in both the tables.

proc sql;

create table temp as

select * from new

except

select * from base;

quit;

View solution in original post

5 REPLIES 5
Hima
Obsidian | Level 7

Assuming that the column names are same in both the tables.

proc sql;

create table temp as

select * from new

except

select * from base;

quit;

Hima
Obsidian | Level 7

With an example

data base;
input ID name$;
cards;
1 Test
2 Yes
3 Push
4 In
5 Ye
;
run;

data new;
input ID name$;
cards;
1 Test
2 Yes
4 In
5 Ye
;
run;

proc sql;
select * from base
except all
select * from new;
quit;

Output:

ID name

ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ

3 Push

Haikuo
Onyx | Level 15

On top of Hima's suggestion, further down the road to your goal, create new data set based on your base plus all of obs not base but in new. You can also try to update your base, but that can't be done in one SQL pass:

data base;

input ID name$;

cards;

1 Test

2 Yes

3 Push

4 In

5 Ye

;

run;

data new;

input ID name$;

cards;

1 Test

2 Yes

4 In

5 Ye

6 sfd

;

proc sql;

create table base_new as

select * from new

union corr

select * from base;

quit;

proc print;run;

Haikuo

Haikuo
Onyx | Level 15

Actually new Hash() method in 9.2 makes this job very much native:

data _null_;

  if _n_=1 then do;

     if 0 then set base;

dcl hash h(dataset:'base', multidata:'y');

h.definekey(all:'y');

h.definedata(all:'y');

h.definedone();

  end;

  set new end=done;

   rc=h.ref();

  if done then rc=h.output(dataset:'want');

  run;

Regards,

Haikuo

sophia_SAS
Obsidian | Level 7

Thanks Haikuo for your help. The last code does work for when I'm combining the unique observations from base and new.  What amendments do you suggest I do if I simply want to delete the duplicate observations from the new dataset?  (I.e. the duplicates would be those that already exist in dataset base).

Thanks.

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