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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

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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