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  • Informatica Data Quality 10.4.0
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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

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Output Groups

Output Groups

The Rank transformation includes the following types of output groups:
User-Defined Groups
You create a user-defined group to test a condition based on incoming data. A user-defined group consists of output ports and a group filter condition. You can create and edit user-defined groups on the
Groups
 tab with the Developer tool. Create one user-defined group for each condition that you want to specify.
The Data Integration Service uses the condition to evaluate each row of incoming data. It tests the conditions of each user-defined group before processing the default group. The Data Integration Service determines the order of evaluation for each condition based on the order of the connected output groups. The Data Integration Service processes user-defined groups that are connected to a transformation or a target in a mapping.
If a row meets more than one group filter condition, the Data Integration Service passes this row multiple times.
The Default Group
The Developer tool creates the default group after you create one user-defined group. The Developer tool does not allow you to edit or delete the default group. This group does not have a group filter condition associated with it. If all of the group conditions evaluate to FALSE, the Data Integration Service passes the row to the default group. If you want the Data Integration Service to drop all rows in the default group, do not connect it to a transformation or a target in a mapping.
The Developer tool deletes the default group when you delete the last user-defined group from the list.
The Developer tool copies property information from the input ports of the input group to create a set of output ports for each output group. You cannot change or delete output ports or their properties.
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