SASŪ High-Performance Analytics Samples
The SAS High-Performance Analytics sample programs and install verification tests can be run only after you
edit and submit this file.
The file contains site-specific information about your environment so that the procedures can run successfully.
Getting Started Example for PROC HPDS2
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: hpds2 */
/* TITLE: Getting Started Example for PROC HPDS2 */
/* Run DS2 Code on Grid - Simple Example */
/* PRODUCT: HPA */
/* SYSTEM: ALL */
/* KEYS: DS2 code */
/* PROCS: HPDS2 */
/* DATA: */
/* */
/* SUPPORT: */
/* REF: SAS/HPA User's Guide, PROC HPDS2 chapter */
/* MISC: */
/* */
/****************************************************************/
data daily_temps;
input city $ mon tue wed thu fri;
datalines;
lax 88 92 94 97 86
sfo 65 60 75 72 74
nyc 99 95 94 95 90
phl 92 89 91 93 94
atl 95 99 92 98 94
den 85 87 89 72 73
pit 68 70 72 73 77
rdu 98 95 99 95 96
dtt 88 90 90 87 92
anc 51 56 60 64 62
sea 72 78 77 80 79
msy 98 97 99 98 99
mia 95 92 98 94 96
ord 87 85 84 80 79
dfw 95 96 97 95 97
hou 98 99 98 97 92
las 104 105 102 99 101
pdx 78 82 76 74 80
san 80 81 78 82 80
phx 95 98 95 97 100
cle 75 72 76 80 78
ont 78 80 78 81 72
tpa 94 94 92 90 92
bos 80 78 77 75 79
clt 83 80 79 80 81
;
run;
libname applianc &ENGINE
server = "&GRIDDATASERVER"
user = &USER
password = &PASSWORD
database = &DATABASE;
proc hpds2 data=daily_temps
out=applianc.avg_temps;
performance host="&GRIDHOST" install="&GRIDINSTALLLOC";
data DS2GTF.out;
dcl double avgf avgc;
dcl char(5) synopsis;
method run();
set DS2GTF.in;
avgf = mean(mon, tue, wed, thu, fri);
avgc = round((avgf - 32.0) * 5.0/9.0, .1);
if avgf >= 95.0 then synopsis = 'Hot';
else if avgf > 80.0 then synopsis = 'Warm';
else if avgf > 60.0 then synopsis = 'Mild';
else synopsis = 'Cold';
end;
enddata;
run;
proc print data=applianc.avg_temps;
title1 'Average Temperatures';
var city synopsis avgf avgc;
run;