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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

Back Next

Creating an SQL Transformation

Creating an SQL Transformation

You can create an SQL transformation in the Transformation Developer or the Mapping Designer.
To create an SQL transformation:
  1. Click Transformation > Create.
  2. Select the SQL transformation.
  3. Enter a name for the transformation.
    The naming convention for an SQL transformation is SQL_TransformationName.
  4. Enter a description for the transformation and click Create.
  5. Configure the SQL transformation mode:
    • Query mode.
       Configure an active transformation that executes dynamic SQL queries.
    • Script mode.
       Configure a passive transformation that executes external SQL scripts.
  6. Configure the database type that the SQL transformation connects to. Choose the database type from the list.
  7. Configure the SQL transformation connection options:
    Option
    Description
    Static Connection
    Use a connection object that you configure for the session. The SQL transformation connects to the database once during a session.
    Dynamic Connection
    Connect to databases depending on connection information you pass to the transformation in a mapping. When you configure a dynamic connection, choose whether the transformation requires a connection object name or the transformation requires all the connection information. Default is connection object.
    Connection Object
    Dynamic connection only. Use a LogicalConnectionObject port to receive the connection object name. Define the connection object in the Workflow Manager connections.
    Full Connection Information
    Dynamic connection only. Use input ports to receive all the connection components.
  8. To configure the SQL transformation to run in passive mode, select SQL Transformation Will Run in Passive Mode.
  9. Click OK to configure the transformation.
    The Designer creates default ports in the transformation based on the options that you choose. You cannot change the configuration except for the database type.
  10. Click the Ports tab to add ports to the transformation. Add pass-through ports after database ports.
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