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. Normalizer Transformation
  33. Merge 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. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Normalizer Transformation Output Groups and Ports

Normalizer Transformation Output Groups and Ports

Define output groups and ports in the Overview view of the Normalizer transformation. You can define the output groups after you define the transformation input hierarchy.
The Developer tool generates at least one output group by default. The output group contains all the level 1 fields from the input ports and the first multiple-occurring field. When you define more than one multiple-occurring field in the Normalizer view, the Developer tool creates an output group for each additional multiple-occurring field.
The following source row contains the customer data, the multiple-occurring sales field, and the multiple-occurring phone field:
CustomerID LastName FirstName Sales (occurs 4 times) Phone (occurs 3 times)
The Developer tool creates two output groups from the input structure:
Output
CustomerID LastName FirstName Sales
Output1
Phone GCID_Phone
The Developer tool creates an Output1 group because the source data contains more than one multiple-occurring field. The Developer tool does not create groups for fields that you define in records. When you define records, you must define the output groups that contain the fields in the records.
The following source row contains customer fields and an address record that occurs twice:
CustomerID FirstName LastName Address Street City State Country Address1 Street1 City1 State1 Country1
The Developer tool creates an output group that contains the following fields.
CustomerID FirstName LastName
The Developer tool creates a default output group for the level 1 customer fields. The default output group does not include the Address record. You must configure how to return the Address data in the output.
Create the output groups based on how you need to structure the output rows. When the source row contains customer data and address data, you can create an output group for the customer fields. You can create another output group for the address fields. Or, you can update the default output group and add the address fields to it. The following examples show different output results based on the output group configuration.

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