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Table of Contents

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  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

Dynamic Connection Example

Dynamic Connection Example

The dynamic connection SQL transformation example shows how to dynamically connect to a database based on source file data.
In this example, you have a customer database for the United States, United Kingdom, and Canada. You need to insert customer data from a transaction file into a database based on where the customer is located.
The Expression transformation returns a database connection object name based on the value of the location column. The Expression transformation passes a connection object name to the SQL transformation LogicalConnectionObject port. The SQL transformation connects to the database based on value of the LogicalConnectionObject column.
The following figure shows the Expression transformation and the SQL transformation in a mapping:
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The mapping contains the following components:
  • Customer source definition.
    A flat file source definition that includes customer information. The customer location determines which database the SQL transformation connects to when it inserts the customer data.
  • Error_File target definition.
    The target contains a Datastring field that receives database errors from the SQL transformation.
  • Exp_Dynamic_Connection transformation.
    The Expression transformation defines which database to connect to based on the value of the Location column. The Expression transformation returns the connection object name in the Connection port. The connection object is a database connection defined in the Workflow Manager.
  • SQL_Dynamic_Connection transformation
    . The SQL transformation receives a connection object name in the LogicalConnectionPort. It connects to the database and inserts the customer data in the database.

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