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

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.