Table of Contents

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  1. Preface
  2. Mappings
  3. Mapplets
  4. Mapping Parameters
  5. Mapping Outputs
  6. Generate a Mapping from an SQL Query
  7. Dynamic Mappings
  8. How to Develop and Run a Dynamic Mapping
  9. Dynamic Mapping Use Cases
  10. Mapping Administration
  11. Export to PowerCenter
  12. Import From PowerCenter
  13. Performance Tuning
  14. Pushdown Optimization
  15. Partitioned Mappings
  16. Developer Tool Naming Conventions

Developer Mapping Guide

Developer Mapping Guide

Pushdown Optimization to SAP Sources

Pushdown Optimization to SAP Sources

The Data Integration Service can push Filter transformation logic to SAP sources for expressions that contain a column name, an operator, and a literal string. When the Data Integration Service pushes transformation logic to SAP, the Data Integration Service converts the literal string in the expressions to an SAP datatype.
The Data Integration Service can push Filter transformation logic that contains the TO_DATE function when TO_DATE converts a DATS, TIMS, or ACCP datatype character string to one of the following date formats:
  • 'MM/DD/YYYY'
  • 'YYYY/MM/DD'
  • 'YYYY-MM-DD HH24:MI:SS'
  • 'YYYY/MM/DD HH24:MI:SS'
  • 'MM/DD/YYYY HH24:MI:SS'
The Data Integration Service processes the transformation logic if you apply the TO_DATE function to a datatype other than DATS, TIMS, or ACCP or if TO_DATE converts a character string to a format that the Data Integration Services cannot push to SAP. The Data Integration Service processes transformation logic that contains other Informatica functions. The Data Integration Service processes transformation logic that contains other Informatica functions.
Filter transformation expressions can include multiple conditions separated by AND or OR. If conditions apply to multiple SAP tables, the Data Integration Service can push transformation logic to SAP when the SAP data object uses the Open SQL ABAP join syntax. Configure the Select syntax mode in the read operation of the SAP data object.

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