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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

Java transformation example

Java transformation example

You can use the Java code in this example to create and compile an active Java transformation.
Use a Java transformation to process employee data for a fictional company. The Java transformation reads input rows from a flat file source and writes output rows to a flat file target. The source file contains employee data, including the employee identification number, name, job title, and the manager identification number.
The transformation finds the manager name for a given employee based on the manager identification number and generates output rows that contain employee data. The output data includes the employee identification number, name, job title, and the name of the employee’s manager. If the employee has no manager in the source data, the transformation assumes the employee is at the top of the hierarchy in the company organizational chart.
The transformation logic assumes that the employee job titles are arranged in descending order in the source file.
To create and run the mapping in this example, perform the following steps:
  1. Create the source file.
    Create a comma-delimited flat file in a directory that the Secure Agent can access.
  2. Configure the mapping.
    Add a source, target, and Java transformation to the mapping, and configure the fields.
  3. Configure the Java code snippets in the Java transformation.
    Enter code snippets in the Import Packages, Helper Code, and On Input Row sections of the Java editor.
  4. Compile the code and run the mapping.

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