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

Creating a Data Store for Identity Index Data

Creating a Data Store for Identity Index Data

Configure a mapping that reads a data source that contains identity information. Use a Match transformation to write the index data to a database.
  1. Create a mapping, and add the data source to the mapping canvas.
  2. Add a Match transformation to the mapping canvas.
  3. On the data source, select the ports that contain the identity information.
    • Connect the identity information ports to the Match transformation.
    • Connect the port that contains the sequence identifier values to the Match transformation.
  4. On the Match transformation, select the
    Match Type
    view.
  5. Set the match type to
    Identity Match with Persistent Record ID
    .
  6. Configure the following options to create the index data store.
    • Set the persistence method to
      Update the database with new IDs
      .
    • Verify the matching process value. The default value is
      Enable
      . If you disable the matching process, the mapping creates the identity index tables but does not perform match analysis on the data.
    • On the DB Connection menu, select a database for the index tables.
    • On the Persistent Store menu, select
      Create New
      . Enter a name for the index in the
      Create Storage Tables
      dialog box.
  7. Perform any other configuration step that the Match transformation requires. For example, configure a transformation strategy.
  8. Add a target data object to the mapping.
  9. Connect the Match transformation output ports to the target data object.
  10. Run the mapping.
The mapping writes the index data for the data source to the database tables that you specify.

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