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  • Cloud Data Integration for PowerCenter
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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

Back Next

Properties Tab

Properties Tab

Configure the Unstructured Data transformation general properties on the
Properties
 tab.
The following table describes properties on the
Properties
 tab that you can configure:
Property
Description
Tracing Level
The amount of detail included in the session log when you run a session containing this transformation. Default is Normal.
IsPartitionable
The transformation can run in more than one partition. Select one of the following options:
  • No. The transformation cannot be partitioned.
  • Locally. The transformation can be partitioned, but the Integration Service must run all partitions in the pipeline on the same node.
  • Across Grid. The transformation can be partitioned, and the Integration Service can distribute each partition to different nodes.
Default is Across Grid.
Output is Repeatable
The order of the output data is consistent between session runs.
  • Never. The order of the output data is inconsistent between session runs.
  • Based On Input Order. The output order is consistent between session runs when the input data order is consistent between session runs.
  • Always. The order of the output data is consistent between session runs even if the order of the input data is inconsistent between session runs.
Default is Never for active transformations. Default is Based On Input Order for passive transformation runs.
Output is Deterministic
Indicates whether the transformation generates consistent output data between session runs. Enable this property to perform recovery on sessions that use this transformation.
If you configure a transformation as repeatable and deterministic, it is your responsibility to ensure that the data is repeatable and deterministic. If you try to recover a session with transformations that do not produce the same data between the session and the recovery, the recovery process can result in corrupted data.
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