Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Mapplet transformation

Mapplet transformation

The Mapplet transformation inserts a mapplet that you created in
Data Integration
, imported from PowerCenter, or generated from an SAP asset
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:
Extend the data transformation capabilities of
Data Integration
.
For example, you want to create a mapping that passes customer records to a target if the customers pass a credit check. You create a Web Services transformation to run a credit check on each customer. You include the Web Services transformation in a mapplet and use the mapplet in a mapping to perform the credit check.
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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