Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Using Transaction Control Transformations in Mappings

Using Transaction Control Transformations in Mappings

Transaction Control transformations are transaction generators. They define and redefine transaction boundaries in a mapping. They drop any incoming transaction boundary from an upstream active source or transaction generator, and they generate new transaction boundaries downstream.
You can also use Custom transformations configured to generate transactions to define transaction boundaries.
Transaction Control transformations can be effective or ineffective for the downstream transformations and targets in the mapping. The Transaction Control transformation becomes ineffective for downstream transformations or targets if you put a transformation that drops incoming transaction boundaries after it. This includes any of the following active sources or transformations:
  • Aggregator transformation with the All Input level transformation scope
  • Joiner transformation with the All Input level transformation scope
  • Rank transformation with the All Input level transformation scope
  • Sorter transformation with the All Input level transformation scope
  • Custom transformation with the All Input level transformation scope
  • Custom transformation configured to generate transactions
  • Transaction Control transformation
  • A multiple input group transformation, such as a Custom transformation, connected to multiple upstream transaction control points
Mappings with Transaction Control transformations that are ineffective for targets may be valid or invalid. When you save or validate the mapping, the Designer displays a message indicating which Transaction Control transformations are ineffective for targets.
Although a Transaction Control transformation may be ineffective for a target, it can be effective for downstream transformations. Downstream transformations with the Transaction level transformation scope can use the transaction boundaries defined by an upstream Transaction Control transformation.
The following figure shows a valid mapping with a Transaction Control transformation that is effective for a Sorter transformation, but ineffective for the target.
In this example, TCT1 transformation is ineffective for the target, but effective for the Sorter transformation. The Sorter transformation Transformation Scope property is Transaction. It uses the transaction boundaries defined by TCT1. The Aggregator Transformation Scope property is All Input. It drops transaction boundaries defined by TCT1. The TCT2 transformation is an effective Transaction Control transformation for the target.
The mapping contains a source, source qualifier, Transaction Control transformation TCT1, a Sorter transformation, Aggregator transformation, Expression transformation, Transaction Control transformation TCT2, and a target.

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