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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. Aggregator Transformation
  4. Classifier Transformation
  5. Cleanse transformation
  6. Comparison Transformation
  7. Custom Transformation
  8. Custom Transformation Functions
  9. Consolidation Transformation
  10. Data Masking Transformation
  11. Data Masking Examples
  12. Decision Transformation
  13. Dynamic Lookup Cache
  14. Expression Transformation
  15. External Procedure Transformation
  16. Filter Transformation
  17. HTTP Transformation
  18. Identity Resolution Transformation
  19. Java Transformation
  20. Java Transformation API Reference
  21. Java Expressions
  22. Java Transformation Example
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Match Transformation
  29. Match Transformations in Field Analysis
  30. Match Transformations in Identity Analysis
  31. Merge Transformation
  32. Normalizer Transformation
  33. Parse transformation
  34. Rank Transformation
  35. Router Transformation
  36. Rule Specification transformation
  37. Sequence Generator Transformation
  38. Sorter Transformation
  39. Source Qualifier Transformation
  40. SQL Transformation
  41. Using the SQL Transformation in a Mapping
  42. Stored Procedure Transformation
  43. Standardizer Transformation
  44. Transaction Control Transformation
  45. Union Transformation
  46. Unstructured Data Transformation
  47. Update Strategy Transformation
  48. Verifier transformation
  49. Weighted Average Transformation
  50. 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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