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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 Read Transformation in the Mapping Editor

Creating a Read Transformation in the Mapping Editor

You can create a Read transformation to represent the source of data and column metadata and properties in a mapping.
Perform the following steps:
  1. Choose one of the following methods to create a Read transformation:
    • Right-click in the mapping editor and select
      Add Transformation
      .
      The
      Add Transformation
       dialog box opens.
      Select Read transformation and click
      Next
      .
    • Scroll down in the mapping palette to locate and double-click the Read transformation icon.
      The following image shows the Read transformation icon:
    The
    New Read Transformation
     dialog box opens.
  2. To use a flat file, a relational resource, or a customized data object as the source, perform the following steps:
    1. Select
      Physical Data Object
       as the data object type.
    2. Click
      Browse
       to select a flat file, a relational resource, or a customized data object.
      The
      Select Data Object
       window opens.
    3. Select a data object and click
      OK
      .
    4. Optionally, configure the transformation to fetch data object columns from the source at run time. Select
      At run-time, get data object columns from data source
      .
      The Data Integration Service refreshes column metadata for the Read transformation when the mapping runs.
  3. To use a parameter as the source, perform the following steps:
    1. Select
      Create using a parameter
      .
    2. Click
      New
       to create a new parameter, or click
      Browse
       to select an existing parameter.
    3. Select a parameter and click
      OK
      .
    4. Optionally, configure the transformation to fetch data object columns from the source at run time. Select
      At run-time, get data object columns from data source
      .
      The Data Integration Service refreshes column metadata for the Read transformation when the mapping runs.
  4. To use a logical data object as the source, perform the following steps:
    1. Select
      Logical Data Object
       as the data object type.
    2. Click
      Browse
       to select a data object, and then click
      OK
      .
  5. Optionally, type a name for the Read transformation.
  6. Click
    Finish
    .
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