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 Write Transformation from Mapping Flow

Creating a Write Transformation from Mapping Flow

You can create and configure a Write transformation in the mapping editor.
You might want to use this method if you want to configure specific properties for the transformation. For example, you can create the transformation, and then configure it to define columns based on mapping flow and to get column metadata from the data source at run time.
  1. Right-click in the mapping editor and select
    Add Transformation
    .
    The
    Add Transformation
    dialog box opens.
  2. Select
    Write
    and click
    OK
    .
    The
    New Write Transformation
    wizard opens.
  3. Select
    Physical Data Object
    or
    Logical Data Object
    , and then click
    Browse
    .
    The
    Select Data Object
    dialog box opens.
  4. Select a data source, click
    OK
    .
  5. Select
    Mapping flow
    , and then click
    Finish
    .
  6. Drag ports from the All Ports port of the upstream to the
    Input
    port of the Write transformation.
    The following image shows how to connect upstream ports to the
    Input
    port of the Write transformation:
    To stream ports from an upstream mapping object, drag All Ports from the upstream object to the Input port of the Write transformation.
    The Write transformation receives column definitions from upstream mapping objects.
  7. To dynamically update target object columns at run time with changes from the target file, select
    At run-time, get data object columns from data source
    .
    The Data Integration Service refreshes the column metadata for the Write transformation when the mapping runs.

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