Hi,
I've been searching for a solution for this problem for the past couple of days with no luck.
I have a data set with a column called mail_file that has a file paths to other SAS data sets. I want to open those data sets and check to see if certain variables exist.
This is the code I came up with:
data lists;
set list_to_load;
dsid=open(mail_file, 'I' , , 'F');
if dsid^=0 then
do;
if varnum(dsid, 'PROMOCODE')=0 then
column_exists=1;
end;
run;
I always get a dsid of 0.
The paths the of the files look like this: S:\Marketing\For_Output\listloadtest.sas7bdat.
Is there any way I can use a variable in the open() function? Or is there another approach I can take to acomplish this task?
Thanks a alot.
Your code appears to work if you leave off the extension. e.g., try the following:
libname art "c:\art";
data art.test1;
set sashelp.class;
retain PROMOCODE (1);
run;
data art.test2;
set sashelp.class;
run;
data art.test3;
set sashelp.class;
retain PROMOCODE (1);
run;
data list_to_load;
informat mail_file $30.;
input mail_file;
cards;
c:\art\test1
c:\art\test2
c:\art\test3
;
data lists;
set list_to_load;
dsid=open(mail_file, 'I' , , 'F');
if dsid^=0 then
do;
if varnum(dsid, 'PROMOCODE')=0 then
column_exists=1;
end;
run;
Did you try quoting the filename?
open(quote(trim(mail_file)),.....
Otherwise you will need to create a libref pointing the directory and then try to open the file using the traditional libname.member two level dataset name format.
fname=scan(mail_file,-1,'/\');
dir=substr(mail_file,1,length(mail_file)-length(fname));
member=scan(fname,1,'.');
libref='MYDATA';
rc=libname(libref,dir,,'access=readonly');
** test for error codes ?? ;
rc=open('MYDATA.'||member,.....)
...
Thanks for both of your responses!
I definitely needed the trim() function and it looks like the mode I using was not working correctly.
When I use open(trim(mail_file), , , 'F',) everything works as it should.
Thanks again.
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.