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

Dynamic Data Sources

Dynamic Data Sources

You can configure a mapping to accommodate changes to sources and targets at run time. A dynamic mapping can include flat file and relational data sources. You can use parameters and configure transformation properties based on the types of changes that you expect.
You can configure a mapping to accommodate run-time changes to the following data sources:
Sources
A dynamic source can include relational and flat file sources. Configure the Read transformation and the physical data object to accommodate run-time changes. You can change the source metadata based on the location of the file or source connection, changes to incoming source columns, or the data object.
Targets
A dynamic target can include relational and flat file targets. You can define the target based on the mapping flow or the associated data object. You can also choose to get columns for the data object from the data source. You can use parameters to change run-time properties such as the target data object or the target connection.

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