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Table of Contents

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

Developer Mapping Guide

Developer Mapping Guide

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Dynamic Mappings Overview

Dynamic Mappings Overview

A dynamic mapping is a mapping that can accommodate changes to sources, targets, and transformation logic at run time. Use a dynamic mapping to manage frequent schema or metadata changes or to reuse the mapping logic for data sources with different schemas. Configure rules, parameters, and general transformation properties to create a dynamic mapping.
If a data source changes for a source, target, or lookup, you can configure a mapping to dynamically get metadata changes at run time. Configure parameters, rules, ports, and links within the mapping to receive and propagate changes at all stages of the mapping. You do not need to manually synchronize the data object and update each transformation before you run the mapping again. The Data Integration Service can dynamically determine transformation ports, transformation logic in the ports, and the port links within the mapping.

Dynamic Mapping Example

Every week, you receive customer data from different departments that you need to join and aggregate. The departments might periodically change the source schema to include additional columns for departmental analysis.
To accommodate the changes to the data source, you create a dynamic mapping. You configure the Read transformation to get data object columns at read time. Create an input rule to include columns that you need and to exclude all other columns.
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