cas action groupbyinfo: I don't get why it takes so long

[acordes]

I have 700k distinct groupby counts. 

If I use the input={} statement it generates correctly the columns _frequency_ and _position_, but the _cumfreq_ is not what I want top have. I would like to accumulate the freq within a contract (numero_operacion).  My first groupbyinfo run relates to this attempt which at least runs quickly and gives correct freq and position counts. 

When I try to use the groupby={} option in the table{} statement, then it takes en eternity to finish. 

It's not so big to justify this amount of time, but probably I'm missing out something. 

I don't know how to use and combine, vars{}, inputs{} and groupby{} wisely. And I am lost to fine-tune by setting algorithm2, groupbylimit groupbyorder,...

Can someone help out and provide a complex example. the examples from the sas site should cover more sophisticated examples. 

By the way, I know how to resolve my problem with alternative approaches.

But I want to truely understand the groupbyinfo action. 

thanks a lot.

proc cas;
   session mysession;
                             simple.groupByInfo /                          /* 1 */
               includeDuplicates=true,
               minFrequency=1,
                              generatedcolumns={'frequency', 'position', 'cumfreq'},
                              groupByLimit=100M,
                              nworkerthreads=8,
               noVars=true,
                              algorithm2=true, 
                              journaltrace=true,
                              inputs={'Numero_operacion', 'JourneyName'},
               casOut={name="testa_dup", replace=true, CASLIB="mkt"},

               table={
/*                                                       vars={'Numero_operacion', 'JourneyName'}, groupBy={'_date'},  */
                                                           groupByMode="redistribute", orderBy='fecha_envio',
/*                          orderBy="fecha_envio", */
                              name="FUNNEL_REN", CASLIB="mkt"
                                            ,computedVars={
                                            name="_date"}, 
                                            computedVarsProgram="_date=put(datepart(fecha_envio), monyy.);"
};
run;

proc cas;
   table.fetch /                                  
      format=True, maxrows=100, 
/*       fetchVars={ */
/*          "_score_", 'Numero_operacion', 'JourneyName'}, */
      table={name="testa_dup", caslib="mkt", where="Numero_operacion in ('01RN40000930' '01RN27000014')"};
run;


proc cas;
   session mysession;
                             simple.groupByInfo /                          /* 1 */
               includeDuplicates=true,
               minFrequency=1,
                              generatedcolumns={'frequency', 'position', 'cumfreq'},
                              groupByLimit=100M,
                              details=true,
                              nworkerthreads=8,
               noVars=true,
                              algorithm2=true, 
                              journaltrace=true,
                              inputs={'Numero_operacion', 'JourneyName'},
               casOut={name="testa_dup", replace=true, CASLIB="mkt"},

               table={groupby={'Numero_operacion', 'JourneyName'}, groupByMode="redistribute", 
/*                          orderBy='fecha_envio', */
/*                          orderBy="fecha_envio", */
                              name="FUNNEL_RE1", CASLIB="mkt"
                                            ,computedVars={
                                            name="_date"}, 
                                            computedVarsProgram="_date=put(datepart(fecha_envio), monyy.);"
};
run;