The HPSUMMARY Procedure

This example illustrates a simple use of the HPSUMMARY procedure to summarize using the grid in distributed mode. The following DATA step creates a data set that consists of test scores:

data gridlib.grades;
   input Name $ 1-8 Gender $ 11 Status $13 Year $ 15-16
         Section $ 18 Score 20-21 FinalGrade 23-24;
   datalines;
Abbott    F 2 97 A 90 87
Branford  M 1 98 A 92 97
Crandell  M 2 98 B 81 71
Dennison  M 1 97 A 85 72
Edgar     F 1 98 B 89 80
Faust     M 1 97 B 78 73
Greeley   F 2 97 A 82 91
Hart      F 1 98 B 84 80
Isley     M 2 97 A 88 86
Jasper    M 1 97 B 91 93
;
run;

The following statements read this data set and analyze the data for the two-way combination of CLASS variables and across all observations. To run these statements successfully, you need to set the macro variables GRIDHOST and GRIDINSTALLLOC to resolve to appropriate values, or you can replace the references to the macro variables in the example with the appropriate values.

proc hpsummary data=gridlib.grades;
   performance host="&GRIDHOST" install="&GRIDINSTALLLOC";
   var Score;
   class Status Year;
   types () status*year;
   output out=gridlib.result;
run;
proc print data=gridlib.result;
run;

Figure 9.1 displays the tables produced by the HPSUMMARY procedure. The "Performance Information" table shows that PROC HPSUMMARY ran in distributed mode and the "Data Access Information" table shows that the date were accessed in parallel symmetric mode.