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nketata
Obsidian | Level 7

I have many files to be exported to Excel with several conditions in the data set, so I wrote a code like this :

 

data cars;

retain origin model cylinders ;

set sashelp.cars;

where Origin='Asia';

call execute ('proc export data=cars outfile="C:\TEMP\CARS_FROM_ASIA.csv" DBMS=CSV REPLACE; run;');

run;

 

I was disappointed when I saw that SAS exports the cars file line by line, so the execution time is very long (my files are much larger than this example).

 

Is there a way (or an option)  to force the CALL EXECUTE to export the data in one batch ?

1 ACCEPTED SOLUTION

Accepted Solutions
Astounding
PROC Star

The difficulty is that you are generating many CALL EXECUTES ... one for each observation that meets the WHERE condition.  You can get around that using:

 

if _n_=1 then

 call execute ('proc export data=cars outfile="C:\TEMP\CARS_FROM_ASIA.csv" DBMS=CSV REPLACE; run;');

 

However, this may lead to other questions.  Right now, there is no advantage to using CALL EXECUTE.  You could have just hard-coded the PROC EXPORT following the DATA step.  It is possible that the hard-coding will not be possible because your real problem is a bit more complex.  So we may have to revisit the real problem.  But for now, add IF _N_=1 THEN ....

View solution in original post

2 REPLIES 2
Astounding
PROC Star

The difficulty is that you are generating many CALL EXECUTES ... one for each observation that meets the WHERE condition.  You can get around that using:

 

if _n_=1 then

 call execute ('proc export data=cars outfile="C:\TEMP\CARS_FROM_ASIA.csv" DBMS=CSV REPLACE; run;');

 

However, this may lead to other questions.  Right now, there is no advantage to using CALL EXECUTE.  You could have just hard-coded the PROC EXPORT following the DATA step.  It is possible that the hard-coding will not be possible because your real problem is a bit more complex.  So we may have to revisit the real problem.  But for now, add IF _N_=1 THEN ....

nketata
Obsidian | Level 7

Thanks, the proposed solution worked. I knew I  was missing only a small piece of code.

 

And yes, my files are more complex and I am calling macro variables in the export so to malke a long story short,  it is better for me  to have the export inside the data set.

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