Table of Contents

Search

  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

Create an Output Group

Create an Output Group

Create an output group in the
Overview
view of the Normalizer transformation.
When you open the
Overview
view of the Normalizer transformation, the Developer tool shows the default groups it creates from the input hierarchy.
When you create a new output group, a dialog box shows a list of the fields and records in the input hierarchy. Select which fields or records to include in the group.

Output Group Example

The following image shows the
New Output Group
dialog box:
The New Output Group disalog box shows all the fields in the Input Hierarchy with checkboxes next to each field name. The Address record name is highlighted. The fields in the Address are indented below the Address and they are selected by default.
When you select the Address record, the Developer tool creates a group of output ports that correspond to the fields in the Address record. The Output1 group contains the Street, City, State, and Country ports. You can change the ports in the output group.
The following image shows the Output group and the Output1 group in the
Overview
view:
The Overview view has two output groups. The Output group has a CustomerID, First Name, and LastName. The Output1 group has the Street, State, Country, and GCID_Address.
You might configure the Normalizer transformation to return the rows from the Output group to a Customer table.
The Customer table receives data similar to the following rows:
100, Robert, Bold 200, James, Cowan
You might return the rows from the Output1 group to an Address table. The Address table receives the Street, City, State, Country, and GCID.
The Address table receives data similar to the following rows:
100 Summit Dr, Redwood City, CA, United States,1 41 Industrial Way, San Carlos, CA, United States,2 85 McNulty Way, Los Angeles, CA, United States,1 55 Factory Street, Los Vegas, NV, United States,2
The GCID identifies which instance of the customer address is in the output row. In this example, the Normalizer transformation returns two instances of the Address record. Each output row contains a GCID value of 1 or 2.

0 COMMENTS

We’d like to hear from you!