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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

Active Transformations

Active Transformations

An active transformation can perform any of the following actions:
  • Change the number of rows that pass through the transformation.
    For example, the Filter transformation is active because it removes rows that do not meet the filter condition. All multi-group transformations are active because they might change the number of rows that pass through the transformation.
  • Change the transaction boundary.
    For example, the Transaction Control transformation is active because it defines a commit or roll back transaction based on an expression evaluated for each row.
  • Change the row type.
    For example, the Update Strategy transformation is active because it flags rows for insert, delete, update, or reject.
The Designer does not allow you to connect multiple active transformations or an active and a passive transformation to the same downstream transformation or transformation input group because the Integration Service may not be able to concatenate the rows passed by active transformations. For example, one branch in a mapping contains an Update Strategy transformation that flags a row for delete. Another branch contains an Update Strategy transformation that flags a row for insert. If you connect these transformations to a single transformation input group, the Integration Service cannot combine the delete and insert operations for the row.
The Sequence Generator transformation is an exception to the rule. The Designer does allow you to connect a Sequence Generator transformation and an active transformation to the same downstream transformation or transformation input group. A Sequence Generator transformation does not receive data. It generates unique numeric values. As a result, the Integration Service does not encounter problems concatenating rows passed by a Sequence Generator transformation and an active transformation.

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