Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Ask INFA.

Table of Contents

Search

  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Generating Key Values

Generating Key Values

The Normalizer transformation creates a generated key when the COBOL source contains a group of multiple-occurring columns. You can pass a group of multiple-occurring columns to a different target than the other columns in the row. You can create a primary-foreign key relationship between the targets with the generated key.
The following figure shows a COBOL source definition that contains a multiple-occurring group of columns:
The COBOL source is open and displays the port name, level, occurs, datatype, and length columns.
In this example, the Detail_Suppliers group of columns occurs four times in the Detail_Record.
The Normalizer transformation generates a GK_Detail_Sales key for each source row. The GK_Detail_Sales key represents one Detail_Record source row.
The following figure shows the primary foreign key relationships between the targets:
Two targets are open and display the key types, port name, datatype, and length columns. The first target displays the foreign key in the key types column and the second target displays the primary key in the key types column.
Multiple-occurring Detail_Supplier rows have a foreign key linking them to the same Detail_Sales row. The Detail_Sales target has a one-to-many relationship to the Detail_Suppliers target.
The following figure shows the GK_Detail_Sales generated key connected to primary and foreign keys in the target:
The mapping contains a source, a Normalizer transformation, an Aggregator transformation, and two targets. The targets are open to display the key types and port names. The Normalizer transformation is open to display the port names and datatypes. The source and the Aggregator transformation are iconized.
Pass GK_Detail_Sales to the primary key of Detail_Sales and the foreign key of Detail_Suppliers.
Link the Normalizer output columns to the following objects:
  • Detail_Sales_Target.
    Pass the Detail_Item, Detail_Desc, Detail_Price, and Detail_Qty columns to a Detail_Sales target. Pass the GK_Detail_Sales key to the Detail_Sales primary key.
  • Aggregator Transformation.
    Pass each Detail_Sales row through an Aggregator transformation to remove duplicate rows. The Normalizer returns duplicate Detail_Sales columns for each occurrence of Detail_Suppliers.
  • Detail_Suppliers.
    Pass each instance of the Detail_Suppliers columns to a the Detail_Suppliers target. Pass the GK_Detail_Sales key to the Detail_Suppliers foreign key. Each instance of the Detail_Suppliers columns has a foreign key that relates the Detail_Suppliers row to the Detail_Sales row.

0 COMMENTS

We’d like to hear from you!