Filtering data allows you to execute queries against smaller datasets and boost performance. The author describes two techniques for doing so that are not commonly used: filtering records coming out of R/3 and filtering in update or transfer rules. Both require ABAP code, but offer the ability to use more complex selection criteria.
You have two less-commonly-used options for data filtering that might meet your requirements:
- Filter records coming out of R/3. This technique takes advantage of an ABAP user exit to filter or flag data on the R/3 source system.
- Filter in the update or transfer rules. Filters are applied during the loading process, and they allow for selection of data using ABAP code.
Although both methods require that you or an ABAPer on your team write code, they are relatively easy to set up. I’ll tell you when to use each option and show you how to carry out each one.