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

Defining a Rank transformation

Defining a Rank transformation

To define a Rank transformation, you drag the transformation into the Mapping Designer, configure fields, and configure the transformation properties.
  1. In the Mapping Designer, drag a Rank transformation from the transformation palette onto the canvas and connect it to the upstream and downstream transformations.
  2. Configure the transformation fields.
    By default, the transformation inherits all incoming fields from the upstream transformation. If you do not need to use all of the incoming fields, you can configure field rules to include or exclude certain fields.
  3. Configure the rank properties.
    Select the field that you want to rank by, the rank order, and the number of rows to rank.
  4. Optionally, configure rank groups.
    You can configure the Rank transformation to create groups for ranked rows.
  5. Optionally, configure the transformation advanced properties.
    You can update the cache properties, tracing level for log messages, transformation scope, case-sensitivity for string comparisons, and whether the transformation is optional.