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  • Common Content for Data Engineering 10.2.1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Merge Transformation
  33. Normalizer Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Write Transformation
  52. Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Active and Passive Java Transformations

Active and Passive Java Transformations

When you create a Java transformation, you define its type as active or passive.
After you set the transformation type, you cannot change it.
A Java transformation runs the Java code that you define on the
On Input
On Input Row
 tab one time for each row of input data.
A Java transformation handles output rows based on the transformation type as follows:
  • A passive Java transformation generates one output row for each input row in the transformation after processing each input row.
  • An active Java transformation generates multiple output rows for each input row in the transformation.
    Use the generateRow method to generate each output row. For example, if the transformation contains two input ports that represent a start date and an end date, you can use the generateRow method to generate an output row for each date between the start date and the end date.
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