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

Configure filter conditions

Configure filter conditions

Optionally, define filter conditions to project a subset of the input data in the transformation. You can filter based on incoming fields or output fields.
The transformation uses a combination of input and output fields to filter the input data to match the data constructed for the parent output element for a particular output row. The matching of input data with the parent element output data is accomplished by using any of the ancestor's primitive child fields.
Configure filter conditions for output groups, array fields, or struct fields on the
Hierarchy Processor
tab.
  1. Click the
    Filter Condition
    icon for the output group or field.
  2. Click
    Configure Filter Condition
    .
  3. Select fields and built-in functions to create the expression.
  4. Validate the expression.
  5. Click
    Save
    .