cartesian product with 3 tables through datastep

[max_ros]

Hello,

I'm looking to create a cartesian product with 3 tables through datastep where 3 tables are following:

data min_scoperto_1;

input min_Scoperto $;

datalines;

0.01

0.02

0.03

;

run;

data scoperto_1;

input Scoperto $;

datalines;

0.1

0.2

0.3

0.5

1.0

2.0

;

run;

data limite_1;

input limite $;

datalines;

40

50

60

70

80

90

;

run;

For two tables - through datastep - the right code is the following

data c;

   set LIMITE_1;

   do i=1 to n;

      set SCOPERTO_1 point=i nobs=n;

      output;

   end;

run;

Which is the right sas code through datastep for the 3 tables?

Thanks in advance!

max

[Kurt_Bremser]

Maxim 14: Use the Right Tool.

Which means that this is the right SAS code:

proc sql;
create table want as
  select *
  from min_scoperto_1, scoperto_1, limite_1
;
quit;

But you already have the data step method for 2 datasets; just nest a second DO loop for the third dataset inside the DO loop you already have for the second dataset.

[max_ros]

tks a lot!

[Kurt_Bremser · Accepted solution]

SQL will even outperform the data step loops once the datasets grow:

 72         
 73         data t1;
 74         do var1 = 1 to 300;
 75           output;
 76         end;
 77         run;
 
 NOTE: The data set WORK.T1 has 300 observations and 1 variables.
 NOTE:  Verwendet wurde: DATA statement - (Gesamtverarbeitungszeit):
       real time           0.00 seconds
       cpu time            0.00 seconds
       
 
 78         
 79         data t2;
 80         do var2 = 1 to 300;
 81           output;
 82         end;
 83         run;
 
 NOTE: The data set WORK.T2 has 300 observations and 1 variables.
 NOTE:  Verwendet wurde: DATA statement - (Gesamtverarbeitungszeit):
       real time           0.00 seconds
       cpu time            0.00 seconds
       
 
 84         
 85         data t3;
 86         do var3 = 1 to 300;
 87           output;
 88         end;
 89         run;
 
 NOTE: The data set WORK.T3 has 300 observations and 1 variables.
 NOTE:  Verwendet wurde: DATA statement - (Gesamtverarbeitungszeit):
       real time           0.00 seconds
       cpu time            0.00 seconds
       
 
 90         
 91         proc sql;
 92         create table t4_1 as
 93           select *
 94           from t1, t2, t3
 95         ;
 NOTE: The execution of this query involves performing one or more Cartesian product joins that can not be optimized.
 NOTE: Table WORK.T4_1 created, with 27000000 rows and 3 columns.
 
 96         quit;
 NOTE:  Verwendet wurde: PROZEDUR SQL - (Gesamtverarbeitungszeit):
       real time           5.47 seconds
       cpu time            2.45 seconds
       
 
 97         
 98         data t4_2;
 99         set t1;
 100        do i = 1 to n1;
 101          set t2 point=i nobs=n1;
 102          do j = 1 to n2;
 103            set t3 point=j nobs=n2;
 104            output;
 105          end;
 106        end;
 107        run;
 
 NOTE: There were 300 observations read from the data set WORK.T1.
 NOTE: The data set WORK.T4_2 has 27000000 observations and 3 variables.
 NOTE:  Verwendet wurde: DATA statement - (Gesamtverarbeitungszeit):
       real time           7.87 seconds
       cpu time            4.71 seconds

[max_ros]

thankyou so much!