Table of Contents

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