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  • Informatica Data Quality 10.4.1
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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 Non-Reusable Lookup Transformation

Creating a Non-Reusable Lookup Transformation

Create a non-reusable Lookup transformation in a mapping or mapplet.
  1. In a mapping or mapplet, drag a Lookup transformation from the Transformation pallette to the editor.
    The
    New
     dialog box appears.
  2. Select
    Flat File Data Object Lookup
    ,
    Logical Data Object Lookup
    ,
    Reference Table Lookup
    , or
    Relational Data Object Lookup
    .
  3. Click
    Next
    .
    The
    New Lookup Transformation
     dialog box appears.
  4. Select a physical data object or reference table in the Developer tool.
  5. Enter a name for the transformation.
  6. For
    On multiple matches
    , determine which rows that the Lookup transformation returns when it finds multiple rows that match the lookup condition.
  7. Click
    Finish
    .
    The Lookup transformation appears in the editor.
  8. Select the Lookup transformation in the editor.
    The toolbar appears above the transformation.
  9. On the
    Ports
     tab of the
    Properties
    view, add output ports to the transformation.
    The following figure shows the CUSTOMER_NO output port in a Lookup transformation:
    The Ports tab of the Properties view shows the ports included in the Lookup transformation.
  10. On the
    Run-time
     tab of the
    Properties
     view, select
    Lookup Caching Enabled
     to enable lookup caching.
    You must add the Lookup transformation to a mapping before you can configure run-time lookup properties.
  11. On the
    Lookup
     tab of the
    Properties
     view, add one or more lookup conditions.
  12. On the
    Advanced
     tab of the
    Properties
     view, configure the tracing level, dynamic lookup cache properties, and run-time connection.
  13. Save the transformation.
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