Is there a magic 'Auto-Rename' option? No, not natively in the Data Step. But here are the three solutions proposed by experts to get around this chore.
1. The SQL Solution: Using Aliases
This is often the cleanest alternative. Unlike the Data Step, PROC SQL allows you to handle two columns with the same name by prefixing them with their source table (alias).
You don't need to rename the variables before the calculation; you do it on the fly.
proc sql;
create table test as
select a.id,
a.X,
b.X as X_Beta, /* Renommage simple pour la sortie */
(a.X - b.X) as Diff_X, /* Calcul direct sans renommage préalable */
(a.Y - b.Y) as Diff_Y
from alpha as a,
beta as b
where a.id = b.id;
quit;
1
PROC SQL;
2
create TABLE test as
3
select a.id,
4
a.X,
5
b.X as X_Beta, /* Renommage simple pour la sortie */
6
(a.X - b.X) as Diff_X, /* Calcul direct sans renommage préalable */
7
(a.Y - b.Y) as Diff_Y
8
from alpha as a,
9
beta as b
10
where a.id = b.id;
11
QUIT;
Advantage: More readable code and direct mathematical logic.
proc compare base=alpha compare=beta;
id id;
var X Y Z;
run;
1
PROC COMPARE base=alpha compare=beta;
2
id id;
3
var X Y Z;
4
RUN;
3. The "Hacker" Solution: Dynamic Macro
If you absolutely insist on using a Data StepMERGE and you have 100 variables to rename, the solution is to generate the RENAME=(...) list dynamically via a Macro.
The principle is as follows:
Read the metadata of the BETA table (via PROC CONTENTS or dictionary views).
Build a character string: X=X_Beta Y=Y_Beta ....
Inject this string into the code.
%macro auto_rename(lib, ds, suffix);
/* Code simplifié pour l'exemple */
proc sql noprint;
select catx('=', name, catx('_', name, "&suffix"))
into :renamelist separated by ' '
from dictionary.columns
where libname=upcase("&lib") and memname=upcase("&ds");
quit;
/* Renvoie la chaîne générée */
&renamelist
%mend;
/* Utilisation */
data test;
merge alpha
beta(rename=( %auto_rename(WORK, BETA, Beta) ));
by id;
run;
The codes and examples provided on WeAreCAS.eu are for educational purposes. It is imperative not to blindly copy-paste them into your production environments. The best approach is to understand the logic before applying it. We strongly recommend testing these scripts in a test environment (Sandbox/Dev). WeAreCAS accepts no responsibility for any impact or data loss on your systems.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. WeAreCAS is an independent community site and is not affiliated with SAS Institute Inc.
This site uses technical and analytical cookies to improve your experience.
Read more.