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

Replace Missing Values

Replace Missing Values

When you use a Sequence Generator transformation to replace missing keys, you can also use a Router transformation to filter null values from columns that have values assigned. You connect the Router transformation to the Sequence Generator transformation, and use NEXTVAL to generate a sequence of numeric values to populate the null values.
For example, to replace null values in a CUSTOMER_NO column, you create a mapping with a source that contains customer data. You add a Router transformation to filter customers with customer numbers assigned from those with null values. You add a Sequence Generator transformation to generate unique CUSTOMER_NO values. You add customer targets to write the data to.
The following image shows a mapping that replaces null values in the CUSTOMER_NO column:
The mapping contains the source table ALL_CUSTOMERS. A router transformation separates data by customer. Active customers have a value in the CUSTOMER_NO field and prospective customers have a null value. The Sequence Generator transformation seq_CUST_NO generates a value for the prospective customers and writes it to the Write_PROSPECT_CUSTOMER target.

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