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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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Creating a Duplicate Record Exception Transformation

Creating a Duplicate Record Exception Transformation

When you configure a Duplicate Record Exception transformation, configure the input ports. Define the upper and lower thresholds for determining matches. Configure where to write the duplicate records and the unique records.
  1. Create a reusable or a nonreusable Duplicate Record Exception transformation.
    • To create a reusable transformation, select
      File
      New
      Transformation
       and select a Duplicate Record Exception transformation.
    • To create a nonreusable transformation, open a mapping and add the transformation to the mapping canvas. Select a Duplicate Record Exception transformation from the wizard.
  2. Click
    Next
    , or click
    Finish
    .
    If you click
    Finish
    , you can update the default threshold values and the data routing options before you create the transformation.
  3. In the Configuration view, configure the upper and lower match score thresholds.
  4. In the
    Data Routing Options
    section, configure the standard output and exception table properties to set where the transformation writes each type of record.
    Optionally, modify where to write the duplicate records, duplicate records to review, and unique records.
  5. Optionally, generate a unique records table. Enter the database connection and table name information for the new table. When you generate a unique records table, the transformation creates a database object in the Model repository.
  6. Configure the input ports. When you add an input port, the Developer tool adds the same port name to the output groups.
    • If you create a reusable transformation, select the
      Ports
      tab, and add ports for the data you want to connect to the transformation.
    • If you create a nonreusable transformation, add other objects to the mapping canvas and drag input ports to the transformation.
  7. Connect the transformation output ports to one or more data targets. Connect the output ports to the data objects that correspond to the output options you set on the
    Configuration
     view.
    • If you create a reusable transformation, add the transformation to a mapping and connect the output ports.
    • If you create a nonreusable transformation, the transformation connects the ports to the Cluster Data table. You must connect output ports to the other data targets.
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