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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. Web Services transformation

Transformations

Transformations

Defining rank properties

Defining rank properties

When you define the rank properties for a Rank transformation, you select the field to rank by, specify the rank order, and specify number of rows to rank by. Define rank properties on the
Rank
tab.
The following image shows the
Rank
tab:
The Rank tab of the Rank transformation defines the rank properties. In this example, the Rank By field is "EMP_SALARY," the rank order is "Top," and the number of rows is "10." Therefore, the transformation ranks the top 10 employees based on the values in the EMP_SALARY field.
Configure the following properties:
Rank By
Specify the field that you want to use for ranking in the
Rank By
field.
For example, you create a Rank transformation to rank the top 10 employees in each department based on salary. The EMP_SALARY field contains the salary for each employee. Select EMP_SALARY as the
Rank By
field.
In advanced mode, the
Rank By
field can’t be a binary data type.
Rank Order
Specify the rank order in the
Rank Order
field. Select
Top
or
Bottom
.
Number of Rows
Specify the number of rows to include in each rank group in the
Number of Rows
field. For example, to rank the top 10 employees in each department based on salary, enter 10 in the
Number of Rows
field.
You can use a parameter to specify the number of rows. To use a parameter, select
Parameterized
in the
Parameterize Number of Rows
field, and enter the parameter in the
Parameter
field.

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