Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Working with groups

Working with groups

You use groups in a Router transformation to filter the incoming data.
Data Integration
uses the filter conditions to evaluate each row of incoming data. It tests the conditions of each user-defined group before processing the default group. If a row meets more than one group filter condition,
Data Integration
passes the row to multiple groups.
A Router transformation has the following types of groups:
Input
Data Integration
copies properties from the input group fields to create the fields for each output group.
Output
There are two types of output groups:
  • User-defined groups. 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. Create one user-defined group for each condition that you want to specify.
    Data Integration
    processes user-defined groups that are connected to a transformation or a target.
  • Default group. The default group captures rows that do not satisfy any group condition. You cannot edit, delete, or define a group filter condition for the default group. If all of the conditions evaluate to FALSE,
    Data Integration
    passes the row to the default group. If you want to drop rows that do not satisfy any group condition, do not connect the default group to a transformation or a target.
You can modify a user-defined output group name. Click the row to open the
Edit Output Group
dialog box.

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