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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union 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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