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

Change the Source Data Object

Change the Source Data Object

A Read transformation is based on a physical data object or a logical data object in the Model repository. You can change the data object when you configure a Read transformation. You can parameterize the data object to change the data object at run time. For example, you might test a mapping with a different source file than the source file you use for a production mapping run.
When you create a transformation from a physical data object, information about the data object appears on the
Data Object
tab of the transformation properties. You can click the data object name to view the physical data object definition from the Model repository.
You can change the data object for the transformation by browsing for a different physical data object in the Model repository. When you change the data object, the transformation uses the run time properties and the advanced properties of the data object that you select.
You can update the structure of the data object at run time based on changes in the data source. The data source is the physical file or the database table that the data object represents. When you enable the Data Integration Service to get data columns from the data source, the Data Integration Service examines the structure of the data source. The Data Integration Service updates the data object ports in the transformation instance based on the data source. The Data Integration Service does not change the physical data object definition in the Model repository.
The following image shows the
Data Object
tab:
The Data Object tab shows the data object name and the option to enter a specific value or to enter a parameter.
The
Data Object
tab has the following fields:
Specify by
Choose
Value
to enter a specific data object name. Choose
Parameter
to parameterize the data object.
Data object
The name of the data object in the Model repository. You can click the
Data Object
link to open the data object definition from the repository. You can also Browse for a different data object in the Model repository.
Description
The description of the data object in the repository. Read-only.
Data object type
Describes the type of data object, such as a flat file data object, a relational table object, or a customized data object.
At run time, get data object columns from the data source
The Data Integration Service fetches metadata and data definition changes from the data file or the table that the data object refers to and updates the structure of the data object for the transformation instance at run time.
To preview how the Data Integration Service fetches metadata and data definition changes at run time, view the mapping with resolved parameters.

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