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  • Informatica Data Quality 10.4.0
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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

Back Next

Creating a Sequence Generator Transformation

Creating a Sequence Generator Transformation

To use a Sequence Generator transformation in a mapping, add it to the mapping, configure the transformation properties, and then connect NEXTVAL to one or more transformations.
  1. In the mapping editor, scroll down in the mapping palette to locate the Sequence Generator transformation and drag it to the mapping.
    The
    New Transformations
     wizard opens.
    This screenshot shows the dialog box that appears when you want to create a Sequence Generator transformation. It includes the transformation name and location. The location is the path to the mapping where you want to create your transformation. Underneath the location, you have 2 choices; you can either select to create a new sequence or to choose an existing Sequence object. The second choice includes the option to browse for the Sequence data object or to create a new Sequence data object.
  2. Enter a name for the Sequence Generator transformation.
    The naming convention for Sequence Generator transformations is SEQ_<transformation name>.
  3. Choose to create a new sequence or to use an existing Sequence object.
    • To create a new sequence, select
      Create a new sequence
      . Click
      Next
       to configure the sequence properties. The following image shows the properties that you can configure:
      This screenshot shows the Sequence properties that you can configure: Start Value, End Value, Increment Value, and an option for Cycle. The default Start Value is 0. The default End Value is 9,223,372,036,854,775,807. The default Increment Value is 1.
    • To use an existing Sequence object, select
      Choose an existing Sequence object
      . Navigate to the Sequence object and click
      OK
      .
    The Sequence Generator transformation appears in the mapping editor with a NEXTVAL output-only port. You can connect the NEXTVAL port to a downstream transformation or target to generate a sequence of numbers.
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