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. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. 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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