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

Aggregate fields

Aggregate fields

Use an aggregate field to define aggregate calculations.
When you configure an Aggregator transformation, create an aggregate field for the output of each calculation that you want to use in the data flow. You can use aggregate functions in aggregate fields. You can also use conditional clauses and nonaggregate functions.
Configure aggregate fields on the
Aggregate
tab of the
Properties
panel. When you configure an aggregate field, you define the field name, data type, precision, scale, and optional description. The description can contain up to 4000 characters. You also define the calculations that you want to perform.
When you configure aggregate fields, you can use variable fields for calculations that you want to use within the transformation. You can also include macros in aggregate and variable fields.