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yeaforme
Calcite | Level 5

I have two datasets.  Dataset A has all the raw data where each subject ID code has multiple (sometimes thousands) of observations for it.  Dataset B has a list of subject ID codes that need to be removed from Dataset A (i.e., if the ID code is in Dataset B then all observations linked to the ID code need to be removed from Dataset A).

I'm thinking it would seem like a job for proc sql, but don't know how to go about it.  Thanks!

1 ACCEPTED SOLUTION

Accepted Solutions
Jagadishkatam
Amethyst | Level 16

proc sort data=dataset_A;

     by id;

run;

proc sort data=dataset_B;

     by id;

run;

data want;

     merge dataset_A(in=a) dataset_B(in=b);

     by id;

     if a and not b;

run;

by proc sql;

proc sql;

    create table want as select a.* from dataset_A as a, dataset_b as b where a.id^=b.id;

quit;

Thanks,

Jagadish

Thanks,
Jag

View solution in original post

2 REPLIES 2
Jagadishkatam
Amethyst | Level 16

proc sort data=dataset_A;

     by id;

run;

proc sort data=dataset_B;

     by id;

run;

data want;

     merge dataset_A(in=a) dataset_B(in=b);

     by id;

     if a and not b;

run;

by proc sql;

proc sql;

    create table want as select a.* from dataset_A as a, dataset_b as b where a.id^=b.id;

quit;

Thanks,

Jagadish

Thanks,
Jag
yeaforme
Calcite | Level 5

The SQL code creates a cartesian product that takes forever to run before timing out after it has consumed all available memory, but the data merge code above it works well.

Thanks!

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