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  • Common Content for Data Engineering 10.2.2 Service Pack 1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Merge Transformation
  33. Normalizer Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Write Transformation
  52. Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Step 1. Configure the Function

Step 1. Configure the Function

You configure the function name, description, and input parameters for the Java function that invokes the expression.
Use the following rules and guidelines when you configure the function:
  • Use a unique function name that does not conflict with an existing Java function in the transformation or reserved Java keywords.
  • You must configure the parameter name, Java datatype, precision, and scale. The input parameters are the values you pass when you call the function in the Java code for the transformation.
  • To pass the Date datatype to an expression, use the String datatype for the input parameter.
    If an expression returns the Date datatype, you can use the return value as the String datatype in the simple interface and the String or long datatype in the advanced interface.
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