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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union transformation

Transformations

Transformations

Mapplet transformation

Mapplet transformation

The Mapplet transformation inserts a mapplet that you created in
Data Integration
into a mapping. Each Mapplet transformation can contain one mapplet. You can add multiple Mapplet transformations to a mapping or mapplet.
The Mapplet transformation can be active or passive based on the transformation logic within the mapplet. An active mapplet includes at least one active transformation. An active mapplet can return a number of rows that is different from the number of source rows passed to the mapplet. A passive mapplet includes only passive transformations. A passive mapplet returns the same number of rows that are passed from the source.
Use a Mapplet transformation to accomplish the following goals:
Reuse transformation logic in different mappings.
For example, you have different fact tables that require a series of dimension keys. You create a mapplet that contains a series of Lookup transformations to find each dimension key. You include the mapplet in different fact table mappings instead of re-creating the lookup logic in each mapping.
Hide complex transformation logic.
The Mapplet transformation shows the mapplet incoming and outgoing fields. It does not display the transformations that the mapplet contains.
For more information about mapplets, see
Components
.

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