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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 Expressions

Update Strategy Expressions

Frequently, the update strategy expression uses the IIF or DECODE function from the transformation language to test each row to see if it meets a particular condition. If it does, you can then assign each row a numeric code to flag it for a particular database operation. For example, the following IIF statement flags a row for reject if the entry date is after the apply date. Otherwise, it flags the row for update:
IIF( ( ENTRY_DATE > APPLY_DATE), DD_REJECT, DD_UPDATE )
To create an Update Strategy transformation:
  1. In the Mapping Designer, add an Update Strategy transformation to a mapping.
  2. Click Layout > Link Columns.
  3. Drag all ports from another transformation representing data you want to pass through the Update Strategy transformation.
    In the Update Strategy transformation, the Designer creates a copy of each port you drag. The Designer also connects the new port to the original port. Each port in the Update Strategy transformation is a combination input/output port.
    Normally, you would select all of the columns destined for a particular target. After they pass through the Update Strategy transformation, this information is flagged for update, insert, delete, or reject.
  4. Open the Update Strategy transformation and rename it.
    The naming convention for Update Strategy transformations is UPD_
    TransformationName
    .
  5. Click the Properties tab.
  6. Click the button in the Update Strategy Expression field.
    The Expression Editor appears.
  7. Enter an update strategy expression to flag rows as inserts, deletes, updates, or rejects.
  8. Validate the expression and click OK.
  9. Click OK.
  10. Connect the ports in the Update Strategy transformation to another transformation or a target instance.

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