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

Aggregator Transformations in Dynamic Mappings

Aggregator Transformations in Dynamic Mappings

You can use an Aggregator transformation in a dynamic mapping. You can configure dynamic ports in the transformation and reference the generated ports.
You can perform the following tasks to configure an Aggregator transformation in a dynamic mapping:
Reference a dynamic port or a generated port as a Group By column.
You can include dynamic ports or generated ports as Group By columns. If you specify a dynamic port as a Group By column, you are specifying that all generated ports in the dynamic port are Group By columns. For this reason, you cannot specify a generated port as a Group By column if you specified the parent dynamic port as a Group By column. If you reference a generated port, and the generated port does not exist at run time, the mapping fails. You can parameterize the Group By columns to indicate which columns to group at run time.
Reference a generated port in the aggregate expression.
You can include a generated port in the aggregate expression. If the port does not exist at run time, the mapping fails. You cannot reference a dynamic port in the aggregate expression.
Create the aggregate expression in an output port.
You cannot create an aggregate expression in a generated port or a dynamic port. The aggregate expression cannot be a dynamic expression.
Parameterize values in the aggregate expression.
You can include parameters in the aggregate expresson. However, You cannot use an expression parameter or a port parameter in the aggregate expression.

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