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. Normalizer Transformation
  33. Merge 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. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Flattening Fields

Flattening Fields

Flatten fields of a complex data type to modify hierarchical data or to convert to relational data.
  1. Click the
    Normalizer
    view.
  2. Select the field of a complex data type.
    The following image shows a field of type array with string elements:
    The Normalizer view shows a field EmpName of type string, Salary of type double, and arr_Dep_Emp_ID of type array with string elements.
  3. Click the
    Flatten
    button.
    The following image shows the Flatten button:
    The Normalizer view shows a field EmpName of type string, Salary of type double, and arr_Dep_Emp_ID of type array with string elements. The Flatten button appears on the right top of the Normalizer view.
    The flatten action replaces the field of a complex data type with a flattened field and changes the value of
    Occurs
    to Auto. The data type of the flattened field depends on the complex data type that you flatten.
    The following image shows the flattened field of type string:
     The Normalizer view shows a field EmpName of type string, Salary of type double, and arr_Dep_Emp_ID of type string. The arr_Dep_Emp_ID is the flattened field with a Flatten icon next to it and the value of Occurs is Auto.
    The following image shows the flattened string output port and the GCID output port in the
    Ports
    view:
     The Ports view of the Normalizer transformation shows an input group with a port EmpName of type string, Salary of type double, and arr_Dep_Emp_ID of type array with string elements. The output group contains a port EmpName of type string, Salary of type double, the flattened field arr_Dep_Emp_ID of type string, and a bigint port GCID_arr_Dep_Emp_ID.

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