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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

Group filter conditions

Group filter conditions

You can test data based on one or more group filter conditions. You can enter any expression that returns a single value. You can also specify a constant for the condition.
A group filter condition returns TRUE or FALSE for each row that passes through the transformation, depending on whether a row satisfies the specified condition. Zero (0) is the equivalent of FALSE, and any non-zero value is the equivalent of TRUE.
When the task runs,
Data Integration
handles the data in the following ways:
  • Passes the rows of data that evaluate to TRUE to each transformation or target that is associated with each user-defined group.
    The Router transformation can pass data through multiple output groups. For example, if the data meets three output group conditions, the Router transformation passes the data through three output groups.
  • Passes the row to the default group if all of the conditions evaluate to FALSE.
You cannot configure a group filter condition for the default group. However, you can add an Expression transformation to perform a calculation and handle the rows in the default group.

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