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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

Preserving Transaction Boundaries for a Single Pipeline

Preserving Transaction Boundaries for a Single Pipeline

When you join data from the same source, use the Transaction transformation scope to preserve incoming transaction boundaries for a single pipeline. Use the Transaction transformation scope when the Joiner transformation joins data from the same source, either two branches of the same pipeline or two output groups of one transaction generator. Use this transformation scope with sorted data and any join type.
When you use the Transaction transformation scope, verify that master and detail pipelines originate from the same transaction control point and that you use sorted input. For example, in Preserving Transaction Boundaries for a Single Pipeline the Sorter transformation is the transaction control point. You cannot place another transaction control point between the Sorter transformation and the Joiner transformation. In the mapping, the master and detail pipeline branches originate from the same transaction control point, and the Integration Service joins the pipeline branches with the Joiner transformation, preserving transaction boundaries.
The following figure shows a mapping that joins two branches of a pipeline and preserves transaction boundaries:
Preserving Transaction Boundaries when You Join Two Pipeline Branches
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