I have two SAS data tables. The first has many millions of records, and each record is identified with a sequential record ID, like this:
Table A Rec Var1 Var2 ... VarX 1 ... 2 3
The second table specifies which rows from Table A should be assigned a coding variable:
Table B Code BegRec EndRec AA 1200 4370 AX 7241 9488 BY 12119 14763
So the first row of Table B means any data in Table A that has rec between 1200 and 4370 should be assigned code AA.
I know how to accomplish this with proc sql, but I want to see how this is done with a hash object.
In SQL, it's just:
proc sql;
select b.code, a.*
from tableA a, tableB b
where b.begrec<=a.rec<=b.endrec;
quit;
My actual data contains hundreds of gigabytes of data, so I want to do the processing as efficiently as possible. My understanding is that using a hash object may help here, but I haven't been able to figure out how to map what I'm doing to use that way.
A hash object solution (data input code borrowed from @Rob_Penridge).
data big;
do rec = 1 to 20000;
output;
end;
run;
data lookup;
input Code $ BegRec EndRec;
datalines;
AA 1200 4370
AX 7241 9488
BY 12119 14763
;
run;
data created;
format code $4.;
format begrec endrec best8.;
if _n_=1 then do;
declare hash h(dataset:'lookup');
h.definekey('Code');
h.definedata('code','begrec','endrec');
h.definedone();
call missing(code,begrec,endrec);
declare hiter iter('h');
end;
set big;
iter.first();
do until (rc^=0);
if begrec <= rec <= endrec then do;
code_dup=code;
end;
rc=iter.next();
end;
keep rec code_dup;
run;
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