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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

Update Strategy Checklist

Update Strategy Checklist

Choosing an update strategy requires setting the right options within a session and possibly adding Update Strategy transformations to a mapping. This section summarizes what you need to implement different versions of an update strategy.
  • Only perform inserts into a target table.
    When you configure the session, select Insert for the Treat Source Rows As session property. Also, make sure that you select the Insert option for all target instances in the session.
  • Delete all rows in a target table.
    When you configure the session, select Delete for the Treat Source Rows As session property. Also, make sure that you select the Delete option for all target instances in the session.
  • Only perform updates on the contents of a target table.
    When you configure the session, select Update for the Treat Source Rows As session property. When you configure the update options for each target table instance, make sure you select the Update option for each target instance.
  • Perform different database operations with different rows destined for the same target table.
    Add an Update Strategy transformation to the mapping. When you write the transformation update strategy expression, use either the DECODE or IIF function to flag rows for different operations (insert, delete, update, or reject). When you configure a session that uses this mapping, select Data Driven for the Treat Source Rows As session property. Make sure that you select the Insert, Delete, or one of the Update options for each target table instance.
  • Reject data.
    Add an Update Strategy transformation to the mapping. When you write the transformation update strategy expression, use DECODE or IIF to specify the criteria for rejecting the row. When you configure a session that uses this mapping, select Data Driven for the Treat Source Rows As session property.

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