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  • Common Content for Data Engineering 10.4.1
  • All Products

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

Exporting a Mapping with a Data Processor Transformation to PowerCenter

Exporting a Mapping with a Data Processor Transformation to PowerCenter

When you export a mapping with a Data Processor transformation to PowerCenter, you can export the objects to a local file, and then import the mapping into PowerCenter. Alternatively, you can export the mapping directly into the PowerCenter repository.
  1. In the
    Object Explorer
     view, select the mapping to export. Right-click and select
    Export
    .
    The
    Export
     dialog box appears.
  2. Select
    Informatica
    PowerCenter
    .
  3. Click
    Next
    .
    The
    Export to PowerCenter
     dialog box appears.
  4. Select the project.
  5. Select the PowerCenter release.
  6. Choose the export location, a PowerCenter import XML file or a PowerCenter repository.
  7. Specify the export options.
  8. Click
    Next
    .
    The Developer tool prompts you to select the objects to export.
  9. Select the objects to export and click
    Finish
    .
    The Developer tool exports the objects to the location you selected. If you exported the mapping to a location, the Developer tool also exports the Data Processor transformations in the mapping, as services, to a folder at the location that you specified.
  10. If you exported the mapping to a PowerCenter repository, the services are exported to the following directory path:
    %temp%\DTServiceExport2PC\
    The export function creates a separate folder for each service with the following name:
    <date><serviceFullName>
    If the transformation includes relational mapping, a folder is created for relational to hierarchical mapping, and a separate folder for hierarchical to relational mapping.
  11. Copy the folder or folders with Data Processor transformation services from the local location where you exported the files to the PowerCenter ServiceDB folder.
  12. If you exported the mapping to a PowerCenter import XML file, import the mapping to PowerCenter. For more information about how to import an object to PowerCenter, see the
    PowerCenter 9.6.0 Repository Guide
    .
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