Conversion and aggregate datas from large table

[Former Member]

Hello,

I have to make a report reading aggregate datas from MSEG linked as an

inner join with MBEW. Some fields have to be convert with conditions.

In a first time, I thought select datas from mseg and create an internal

table with basic operations and conversions.Then, I thought aggregate datas

on another internal table target.

But MSEG is a very large table, for example selecting year’s 2006 there

is more than 6 millions of rows.

In your opinion, what is the best statement to minimise the number of datas

transfers ? (An example of code will be very appreciated).

Thanks and regards

Marc

Selection__________________________Operation

Material______________mseg-matnr___Group by

Plant_________________mseg-werks___Group by

Storage location______mseg-lgort___Group by

Special stock_________mseg-sobkz___Group by

Code valuation________mseg-kzbws___Group by

Supplier______________mseg-emlif___Group by

Order Number__________mseg-aufnr___If bwart = '101' => Type Order = 'S'

Movement type_________mseg-bwart___Group by

Posting date__________mkpf-budat___Group by month and year

Debit/credit__________mseg-shkzg

Quantity______________mseg-menge___If shkzg ='H' => Sum( -1 * menge ) Else Sum( menge )

Standard price________mbew-vmstp

[Former Member]

what do you think about using a cursor in this case ?

good or bad idea ?

Marc