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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Multi-Group Transformations

Multi-Group Transformations

A transformation can have multiple input and output groups. A group is a set of ports that define a row of incoming or outgoing data.
A group is analogous to a table in a relational source or target definition. Most transformations have one input and one output group. However, some have multiple input groups, multiple output groups, or both. A group is the representation of a row of data entering or leaving a transformation.
All multi-group transformations are active transformations. You cannot connect multiple active transformations or an active and a passive transformation to the same downstream transformation or transformation input group.
Some multiple input group transformations require the Integration Service to block data at an input group while the Integration Service waits for a row from a different input group. A blocking transformation is a multiple input group transformation that blocks incoming data. The following transformations are blocking transformations:
  • Custom transformation with the Inputs May Block property enabled
  • Joiner transformation configured for unsorted input
When you save or validate a mapping, some mappings that contain active or blocking transformations might not be valid.

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