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

Configure Parameters in a Duplicate Data Object

Configure Parameters in a Duplicate Data Object

You can create a duplicate data object in the repository and parameterize the properties for that physical data object. Define default values for the properties such as the connection, the resource name, the table owner, or the control file name.
You can create a duplicate data object for relational data objects and flat file data objects. You can create a duplicate data object in a reusable Lookup transformation and in a nonreusable Lookup transformation.
Create a duplicate data object in the Lookup transformation
Data Object
tab. You can create a duplicate object if you specify the data object as a value. When you create the duplicate data object, you replace the data object name in the Lookup transformation with the duplicate data object name. The Developer tool creates parameters for the data object properties. The Developer tool prompts you to enter default values for the parameters. The duplicate data object name syntax is:
<Original object name>_Param
.
The following image shows the
Parameterize Using New Data Object
button on the
Data Object
tab for relational and flat file data objects:
The data object tab by Value dialog box includes a button that says Parameterize by Using A New Data Object. At the bottom of the dialog box is a grid which shows the parameter names and values after you configure them.
When you parameterize a data object by creating a duplicate data object, the Developer tool creates set of parameters for the data object. The Developer tool creates different parameters based on whether the data object is a flat file or a relational data object.
When you create the duplicate data object, configure the default parameter values on the
New Parameterized Data Object
dialog box.
The following image shows the
New Parameterized Data Object
for a relational data object:
The New Paramterized Data Object dialog box shows the default new data object name and the path to the data object in the repository. It shows four parameters. You can view each property name, the parameter name and the default value. You can change the parameter name and default value.
You can change the name of the data object. Enter the parameter default values for the owner and the resource parameters.
If the original data object is parameterized, the Developer tool copies the parameters from the original data object to the duplicate data object. If an original property is not parameterized, the Developer tool creates a parameter for it in the duplicate data object. The Developer tool uses the original property value as the default parameter value in the duplicate data object. When the Developer tool cannot determine an original property value, the Developer tool creates a parameter with a default value based on the parameter type.
The following image show the
New Parameterized Data Object
dialog box for a flat file data object:
The New Paramterized Data Object dialog box shows the default new data object name and the path to the data object in the repository. It shows four parameters. You can view each property name, the parameter name and the default value. You can change the parameter name and default value.
Configure default parameter values for the source file and the source file directory. If the flat file has a control file, configure the control file name and directory.
After you configure the default values, the Developer tool creates the duplicate data object. The duplicate data object name appears on the
Data Object
tab of the Lookup transformation. The duplicate data object appears in the
Object Navigator
.
To change the parameter values for the data object after you create it, open the physical data object in the
Object Navigator
. Click the
Parameters
tab.

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