Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Active and Passive Java Transformations

Active and Passive Java Transformations

A Java transformation generates output rows differently based on whether the transformation is active or passive.
After you create the transformation, you cannot change whether the transformation is active or passive.

Active Java Transformation

An active transformation can change the number of rows that pass through it.
To define the number of rows in the output, call the generateRow() method in the code to generate each output row. You might choose to generate multiple output rows from a single input row or generate a single output row from multiple input rows. For example, if the transformation contains two input ports that represent a start date and an end date, you can call the generateRow() method to generate an output row for each date between the start date and the end date.

Passive Java Transformation

A passive transformation cannot change the number of rows that pass through the transformation. The transformation calls the generateRow() method to generate an output row after processing each input row.

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