I hope I can explain this clearly.  I have two queries I’m running in a report.

 

The first one is:

 

select   dr.store_id,

                                                store.suffix,

                                                store.sort_id,

                                                year as data_year,

                                                (dr.layaway_starting_balance

                                                            + dr.layaway_net_change)

                                                            as layaway_balance,

                                                (dr.loan_starting_balance

                                                            + dr.loan_net_change)

                                                            as loan_balance,

                                                dr.inventory_starting_balance

                                                            + inventory_net_change

                                                            as inventory,

                                                (dr.loan_starting_number + dr.loan_number_change) as number_loan,

                                                (dr.loan_starting_balance + dr.loan_net_change)

                                                            /(dr.loan_starting_number + dr.loan_number_change) as loan_balance_avg

                        from                 daily_runbalance dr

                                                join store on (dr.store_id = store.store_id)

                        where                dr.date = '2006-06-30'

                                                and dr.store_id = 4

                                                and store.store_id = 4

 

The second is very long so I’ll just post the relevant pieces.

 

select   dr.store_id,

                                                store.short_name,

                                                store.sort_id,

                                                ds.year as data_year,

                                               

                                                sum(ds.pulled_loan_total) as loan_pulls,

                                                sum(ds.renew_loan_amount) as loan_renewals,

                                                                                               

                                   

                        from daily_runbalance dr

                       

                        join daily_summary ds on (dr.store_id = ds.store_id and dr.date = ds.date)

                        join cash on (dr.store_id = cash.store_id and dr.date = cash.date)

                        join store on (dr.store_id = store.store_id)

                       

                        where    dr.date between '2006-04-01' and '2006-06-30'

                                                and dr.store_id = 4

                                               

                        group by dr.store_id, store.sort_id, store.short_name, ds.year

 

As you can see the two queries have different time frames.  The first one has one date, the second one has a range of dates.

 

What I’m trying to accomplish is to get two percentages.  Both have one element from one table divided by an element in the other table.

 

sum(ds.pulled_loan_total)/sum(dr.loan_starting_balance + dr.loan_net_change)*100 as pulls_percent,

 

and

 

(sum(ds.renew_loan_amount)/sum(dr.loan_starting_balance + dr.loan_net_change))*100 as renew_percent,

 

No matter which query I place them in it gives me the wrong data because of the time frames.  How can I get the correct data?           

 

Thanks 

 

Becky Hoff

IT Specialist 

 

Reply via email to